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  <front>
    <journal-meta><journal-id journal-id-type="publisher">SE</journal-id><journal-title-group>
    <journal-title>Solid Earth</journal-title>
    <abbrev-journal-title abbrev-type="publisher">SE</abbrev-journal-title><abbrev-journal-title abbrev-type="nlm-ta">Solid Earth</abbrev-journal-title>
  </journal-title-group><issn pub-type="epub">1869-9529</issn><publisher>
    <publisher-name>Copernicus Publications</publisher-name>
    <publisher-loc>Göttingen, Germany</publisher-loc>
  </publisher></journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.5194/se-10-599-2019</article-id><title-group><article-title>Time-lapse gravity and levelling surveys reveal mass loss and ongoing subsidence
in the urban subrosion-prone area <?xmltex \hack{\break}?> of Bad Frankenhausen, Germany</article-title><alt-title>Time-lapse gravity to investigate mass loss associated with subrosion</alt-title>
      </title-group><?xmltex \runningtitle{Time-lapse gravity to investigate mass loss associated with subrosion}?><?xmltex \runningauthor{M. Kobe et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes">
          <name><surname>Kobe</surname><given-names>Martin</given-names></name>
          <email>martin.kobe@leibniz-liag.de</email>
        <ext-link>https://orcid.org/0000-0003-4461-0620</ext-link></contrib>
        <contrib contrib-type="author" corresp="no">
          <name><surname>Gabriel</surname><given-names>Gerald</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name><surname>Weise</surname><given-names>Adelheid</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name><surname>Vogel</surname><given-names>Detlef</given-names></name>
          
        </contrib>
        <aff id="aff1"><institution>Leibniz Institute for Applied Geophysics, Stilleweg 2, 30655 Hanover, Germany</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Martin Kobe (martin.kobe@leibniz-liag.de)</corresp></author-notes><pub-date><day>13</day><month>May</month><year>2019</year></pub-date>
      
      <volume>10</volume>
      <issue>3</issue>
      <fpage>599</fpage><lpage>619</lpage>
      <history>
        <date date-type="received"><day>16</day><month>October</month><year>2018</year></date>
           <date date-type="rev-request"><day>7</day><month>December</month><year>2018</year></date>
           <date date-type="rev-recd"><day>3</day><month>March</month><year>2019</year></date>
           <date date-type="accepted"><day>25</day><month>March</month><year>2019</year></date>
      </history>
      <permissions>
        <copyright-statement>Copyright: © 2019 Martin Kobe et al.</copyright-statement>
        <copyright-year>2019</copyright-year>
      <license license-type="open-access"><license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p></license></permissions><self-uri xlink:href="https://se.copernicus.org/articles/10/599/2019/se-10-599-2019.html">This article is available from https://se.copernicus.org/articles/10/599/2019/se-10-599-2019.html</self-uri><self-uri xlink:href="https://se.copernicus.org/articles/10/599/2019/se-10-599-2019.pdf">The full text article is available as a PDF file from https://se.copernicus.org/articles/10/599/2019/se-10-599-2019.pdf</self-uri>
      <abstract><title>Abstract</title>
    <p id="d1e106">We present results of
sophisticated, high-precision time-lapse gravity monitoring that was
conducted over 4 years in Bad Frankenhausen (Germany). To our knowledge, this
is the first successful attempt to monitor subrosion-induced mass changes in
urban areas with repeated gravimetry. The method provides an approach to
estimate the mass of dissolved rocks in the subsurface.</p>
    <p id="d1e109">Subrosion, i.e. leaching and transfer of soluble rocks, occurs worldwide.
Mainly in urban areas, any resulting ground subsidence can cause severe
damage, especially if catastrophic events, i.e. collapse sinkholes, occur.
Monitoring strategies typically make use of established geodetic methods,
such as levelling, and therefore focus on the associated deformation
processes.</p>
    <p id="d1e112">In this study, we combine levelling and highly precise time-lapse gravity
observations. Our investigation area is the urban area of Bad Frankenhausen
in central Germany, which is prone to subrosion, as many
subsidence and sinkhole features on the surface reveal. The city and the
surrounding areas are underlain by soluble Permian deposits, which are
continuously dissolved by meteoric water and groundwater in a strongly
fractured environment. Between 2014 and 2018, a total of 17 high-precision
time-lapse gravimetry and 18 levelling campaigns were carried out in
quarterly intervals within a local monitoring network. This network covers
historical sinkhole areas but also areas that are considered to be stable.
Our results reveal ongoing subsidence of up to 30.4 <inline-formula><mml:math id="M1" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">a</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>
locally, with distinct spatiotemporal variations. Furthermore, we observe a
significant time-variable gravity decrease on the order of 8 <inline-formula><mml:math id="M2" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">Gal</mml:mi></mml:mrow></mml:math></inline-formula>
over 4 years at several measurement points.</p>
    <p id="d1e142">In the processing workflow, after the application of all required corrections
and least squares adjustment to our gravity observations, a significant
effect of varying soil water content on the adjusted gravity differences was
figured out. Therefore, we place special focus on the correlation of these
observations and the correction of the adjusted gravity differences for soil
water variations using the Global Land Data Assimilation System (GLDAS) Noah model to separate
these effects from subrosion-induced gravity changes.</p>
    <p id="d1e145">Our investigations demonstrate the feasibility of high-precision time-lapse
gravity monitoring in urban areas for sinkhole investigations. Although the
observed rates of gravity decrease of
1–2 <inline-formula><mml:math id="M3" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">Gal</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">a</mml:mi><mml:mrow class="unit"><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> are small, we suggest that it is significantly
associated with subterranean mass loss due to subrosion processes. We discuss
limitations and implications of our approach, as well as give a first
quantitative estimation of mass transfer at different depths and for
different densities of dissolved rocks.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <label>1</label><title>Introduction</title>
      <p id="d1e176">Sinkholes or dolines are ground subsidence phenomena that occur worldwide
due to both natural and anthropogenic causes <xref ref-type="bibr" rid="bib1.bibx15 bib1.bibx68 bib1.bibx33 bib1.bibx79" id="paren.1"><named-content content-type="pre">e.g.</named-content></xref>. They are enclosed depressions with internal
drainage that are characteristic features of terrains underlain by soluble
rocks <xref ref-type="bibr" rid="bib1.bibx32 bib1.bibx42" id="paren.2"/> and may span less than a metre to several
hundreds of metres in diameter and tens to hundreds of metres in depth
<xref ref-type="bibr" rid="bib1.bibx105 bib1.bibx61" id="paren.3"/>. <xref ref-type="bibr" rid="bib1.bibx26" id="text.4"/> estimated that karst rocks such
as limestone, dolomite, anhydrite, gypsum, and salt underlie about
20 <inline-formula><mml:math id="M4" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula> of the Earth's<?pagebreak page600?> ice-free continental surface. Thus, the
capability for solution and mass transfer by meteoric or groundwater exists.
Two main categories of sinkholes have been distinguished: solution and
subsidence sinkholes <xref ref-type="bibr" rid="bib1.bibx99 bib1.bibx101 bib1.bibx7 bib1.bibx30" id="paren.5"><named-content content-type="pre">e.g.</named-content></xref>.
The first group results from differential dissolutional weakening of exposed
or merely soil-covered karst rocks. The subsequent slow subsidence forms
sagging or suffosion sinkholes and is considered to be less hazardous from an
engineering point of view <xref ref-type="bibr" rid="bib1.bibx33" id="paren.6"/>. The second group represents a wide
spectrum of dolines generated by subsurface chemical dissolution or
mechanical erosion, termed subrosion in the following. It is further
classified by the affected material (cover, cap rock, or bedrock), the
process of subsidence mechanism (collapse, suffosion, or sagging), and the
dissolution rate <xref ref-type="bibr" rid="bib1.bibx18 bib1.bibx6" id="paren.7"/>. Subrosion and the development of
sinkholes may be influenced by numerous anthropogenic factors such as mining
<xref ref-type="bibr" rid="bib1.bibx12 bib1.bibx60" id="paren.8"/>, tunnelling <xref ref-type="bibr" rid="bib1.bibx90" id="paren.9"/>, water abstraction
<xref ref-type="bibr" rid="bib1.bibx8 bib1.bibx4" id="paren.10"/>, water impoundment <xref ref-type="bibr" rid="bib1.bibx36" id="paren.11"/>, and other
large-scale hydrological projects in karst regions, which enhance the natural
process of dissolution <xref ref-type="bibr" rid="bib1.bibx64 bib1.bibx31" id="paren.12"/>. In karst environments,
collapse sinkholes are often related to gravitational subsurface cavity
collapse <xref ref-type="bibr" rid="bib1.bibx68 bib1.bibx100" id="paren.13"/>, where stress conditions exceed the
material stability of the surrounding rocks, which may be related to sudden
water-level changes <xref ref-type="bibr" rid="bib1.bibx57" id="paren.14"><named-content content-type="pre">e.g.</named-content></xref> or seismic activity
<xref ref-type="bibr" rid="bib1.bibx44" id="paren.15"><named-content content-type="pre">e.g.</named-content></xref>.</p>
      <p id="d1e242">If very fast suffosion takes place or sinkholes suddenly collapse in urban
areas, they are a severe hazard for residents, economical and residential
buildings, and infrastructure in general <xref ref-type="bibr" rid="bib1.bibx14 bib1.bibx55 bib1.bibx30 bib1.bibx98" id="paren.16"><named-content content-type="pre">e.g.</named-content></xref>. Hence, ongoing urbanization and the growth of the world's
population increase the requirement for detailed investigation of subrosion
processes and sinkhole development for risk assessment.</p>
      <p id="d1e250">Several geophysical and geodetic methods are applicable for the investigation
of potentially unstable ground, subrosion processes, and the accompanied
development of sinkholes. Surface deformation and sinkhole development can be
monitored by airborne lidar <xref ref-type="bibr" rid="bib1.bibx25 bib1.bibx62" id="paren.17"><named-content content-type="pre">e.g.</named-content></xref>,
photogrammetry <xref ref-type="bibr" rid="bib1.bibx54 bib1.bibx1" id="paren.18"><named-content content-type="pre">e.g.</named-content></xref>, and interferometric synthetic aperture radar
(InSAR) <xref ref-type="bibr" rid="bib1.bibx66 bib1.bibx89" id="paren.19"><named-content content-type="pre">e.g.</named-content></xref>, or ground-based geodetic methods such as
high-precision levelling <xref ref-type="bibr" rid="bib1.bibx88 bib1.bibx21" id="paren.20"><named-content content-type="pre">e.g.</named-content></xref>, ground-based
lidar <xref ref-type="bibr" rid="bib1.bibx9" id="paren.21"/>, Global Navigation Satellite System (GNSS) applications <xref ref-type="bibr" rid="bib1.bibx45 bib1.bibx46 bib1.bibx102" id="paren.22"><named-content content-type="pre">e.g.</named-content></xref>, and ground-based InSAR <xref ref-type="bibr" rid="bib1.bibx37" id="paren.23"/>, which are more suitable
for small-scale studies and local investigations. Information on, e.g.
morphology of cavities, sinkhole fills, or fissures can be investigated by
ground-penetrating radar, electrical resistivity tomography, (micro)gravity
surveys <xref ref-type="bibr" rid="bib1.bibx77 bib1.bibx72 bib1.bibx13" id="paren.24"><named-content content-type="pre">e.g.</named-content></xref>, or nuclear magnetic
resonance <xref ref-type="bibr" rid="bib1.bibx29 bib1.bibx63" id="paren.25"><named-content content-type="pre">e.g.</named-content></xref>, as well as magnetometry
<xref ref-type="bibr" rid="bib1.bibx11 bib1.bibx78" id="paren.26"><named-content content-type="pre">e.g.</named-content></xref>. Due to electromagnetic noise and ferrous
materials, electromagnetic methods and magnetometry are often not feasible in
urban areas. Information about underground structures and physical rock
parameters can be obtained by shear-wave seismic reflection profiles that are
especially suitable to resolve shallow geological structures with high
resolution <xref ref-type="bibr" rid="bib1.bibx49 bib1.bibx97 bib1.bibx98 bib1.bibx73" id="paren.27"><named-content content-type="pre">e.g.</named-content></xref>. Furthermore,
seismic reflection and seismic refraction give information about deeper
layers <xref ref-type="bibr" rid="bib1.bibx35 bib1.bibx81" id="paren.28"><named-content content-type="pre">e.g.</named-content></xref>. Another valuable tool for the
understanding of the development and propagation of collapse sinkholes is
numerical modelling <xref ref-type="bibr" rid="bib1.bibx3 bib1.bibx43 bib1.bibx2" id="paren.29"><named-content content-type="pre">e.g.</named-content></xref>. The use of
tiltmeters <xref ref-type="bibr" rid="bib1.bibx80" id="paren.30"/>, borehole strainmeters <xref ref-type="bibr" rid="bib1.bibx108" id="paren.31"/>, or
borehole measurements in general <xref ref-type="bibr" rid="bib1.bibx107 bib1.bibx90" id="paren.32"/> are sparse and
not applicable in densely built-up urban areas due to high costs and strict
approval procedures <xref ref-type="bibr" rid="bib1.bibx82" id="paren.33"/>. Some multidisciplinary field studies
include gravimetry <xref ref-type="bibr" rid="bib1.bibx69 bib1.bibx95 bib1.bibx19 bib1.bibx24 bib1.bibx42 bib1.bibx70" id="paren.34"><named-content content-type="pre">e.g.</named-content></xref> but focus structural interpretations of the Bouguer
anomaly above and around assumed subrosion features. Hence, and with sparse
exceptions <xref ref-type="bibr" rid="bib1.bibx53 bib1.bibx9" id="paren.35"/>, the majority of the mentioned
ground-based methods are applied to localize sinkholes, image the actual
state of sinkhole development, and concentrate on their spatial extent or
physical parameters at a certain point of time.</p>
      <p id="d1e337">In contrast, the time-lapse gravity method can deliver enhanced information
about the variable local gravity field over time. It is non-invasive and
directly sensitive to temporal mass movements on different spatial and
temporal scales. Time-lapse gravity observations were successfully applied to
monitor, e.g. subsurface water storage changes in general <xref ref-type="bibr" rid="bib1.bibx65 bib1.bibx71" id="paren.36"/> and in karst regions <xref ref-type="bibr" rid="bib1.bibx96 bib1.bibx38 bib1.bibx17" id="paren.37"/>, <inline-formula><mml:math id="M5" display="inline"><mml:mrow class="chem"><mml:msub><mml:mi mathvariant="normal">CO</mml:mi><mml:mn mathvariant="normal">2</mml:mn></mml:msub></mml:mrow></mml:math></inline-formula>
storage changes <xref ref-type="bibr" rid="bib1.bibx67 bib1.bibx104" id="paren.38"/>, or withdrawal or intrusions beneath
volcanic edifices <xref ref-type="bibr" rid="bib1.bibx39 bib1.bibx34 bib1.bibx16" id="paren.39"/>.</p>
      <p id="d1e364">We present a study that reveals potential subrosion-related mass transfer in
the subsurface
using spring gravity meters for a time-lapse survey over 4 years. A special
focus is placed on the hydrological correction, which strongly means soil
water content and changes in groundwater level. Both are challenging impacts
on gravity variations <xref ref-type="bibr" rid="bib1.bibx10 bib1.bibx58" id="paren.40"><named-content content-type="pre">e.g.</named-content></xref>, especially in urban
areas and where no special hydrological monitoring sites exist. We introduce
the survey area of Bad Frankenhausen, located in Thuringia in Germany
(Sect. <xref ref-type="sec" rid="Ch1.S2"/>), and the monitoring concept,<?pagebreak page601?> including data
processing and a hydrological soil water correction approach
(Sect. <xref ref-type="sec" rid="Ch1.S3"/>). The results show constant gravity decrease, as
well as continuous subsidence at specific points inside of our measurement
network (Sect. <xref ref-type="sec" rid="Ch1.S4"/>), which is assumed to be caused by
underground mass redistribution. This is also discussed in
Sect. <xref ref-type="sec" rid="Ch1.S5"/>, such as the feasibility of the time-lapse
gravity method for sinkhole monitoring under urban conditions.</p>
</sec>
<sec id="Ch1.S2">
  <label>2</label><title>Geology of the survey area</title>
      <p id="d1e388">Sinkholes in Germany occur over the whole country due to the dissolution of
various soluble rocks in the subsurface (Fig. <xref ref-type="fig" rid="Ch1.F1"/>a). These are
mainly near-surface salt diapirs in northern Germany <xref ref-type="bibr" rid="bib1.bibx49 bib1.bibx43" id="paren.41"/>, and carbonates and sulfates in the central and southern parts of
the country <xref ref-type="bibr" rid="bib1.bibx42 bib1.bibx98" id="paren.42"/>.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1" specific-use="star"><?xmltex \currentcnt{1}?><label>Figure 1</label><caption><p id="d1e401">Geological overview of the study area. <bold>(a)</bold> Distribution
of soluble deposits in Germany and location of the study area Bad
Frankenhausen in the transition zone between salt and carbonate deposits,
after <xref ref-type="bibr" rid="bib1.bibx50" id="text.43"/>. <bold>(b)</bold> Geological map showing Permian,
Triassic, and Cenozoic deposits of the study area and its surroundings
(simplified after <xref ref-type="bibr" rid="bib1.bibx83 bib1.bibx84" id="altparen.44"/>; CS: ETRS 1989 UTM Zone 32N).</p></caption>
        <?xmltex \igopts{width=483.69685pt}?><graphic xlink:href="https://se.copernicus.org/articles/10/599/2019/se-10-599-2019-f01.png"/>

      </fig>

      <p id="d1e422">Our study area is located in the centre of Bad Frankenhausen (BF), a small
city in northern Thuringia in central Germany, which is located in the
transition zone of soluble rock packages <xref ref-type="bibr" rid="bib1.bibx97" id="paren.45"><named-content content-type="pre">Fig. <xref ref-type="fig" rid="Ch1.F1"/>a;</named-content></xref>.
It is bounded by the Kyffhäuser hill range to the north
(Fig. <xref ref-type="fig" rid="Ch1.F1"/>b) and the Thuringian Basin to the south (an extensive
geological overview of Thuringia is given by <xref ref-type="bibr" rid="bib1.bibx87" id="altparen.46"/>). Geological
units in the working area were deposited in the Permian and the Triassic, and
are divided by the W–E-trending and northwards-dipping Kyffhäuser Southern
Margin Fault (KSM Fault) <xref ref-type="bibr" rid="bib1.bibx97" id="paren.47"/>.</p>
      <p id="d1e441">The sediments to the north of the KSM Fault are mainly Zechstein evaporites
developed from seven evaporation-transgression cycles of the epicontinental
Zechstein sea in the Upper Permian (258–250 Ma). These are alternating
layers of conglomerates, carbonates, sulfates, and rock salt <xref ref-type="bibr" rid="bib1.bibx75" id="paren.48"/>.
The main occurrent marine formations in the research area are termed Werra,
Staßfurt, and Leine (Fig. <xref ref-type="fig" rid="Ch1.F1"/>b). Extensive units of anhydrites,
carbonates, copper shales, and conglomerates, mainly from the Werra and
Staßfurt formations, can be
found in the Kyffhäuser hill range. Scattered Leine Formation deposits
consisting of salt clays, anhydrites, and carbonates cover the region to the
northwest of BF <xref ref-type="bibr" rid="bib1.bibx83 bib1.bibx84" id="paren.49"/>.</p>
      <p id="d1e452">The sediments to the south of the KSM Fault are mainly sandstones,
claystones, and shales that were deposited during the Triassic terrestrial
sedimentation phase after the marine sedimentation phase of the Permian.
Triassic Buntsandstein, Muschelkalk, and Keuper overlay the Permian
evaporites (for thickness values of the rock units, see <xref ref-type="bibr" rid="bib1.bibx83" id="altparen.50"/>).
Quaternary deposits are floodplain sediments, claystones, and siltstones, as
well as glacial gravels and aeolian silt deposits.</p>
      <p id="d1e458">The whole region is prone to subrosion, as proven by many features on the
surface (Fig. <xref ref-type="fig" rid="Ch1.F2"/>). This is predominant along the KSM Fault
(Fig. <xref ref-type="fig" rid="Ch1.F2"/>a) and part of an about 250 <inline-formula><mml:math id="M6" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula> long tourist
trail – the “Karst Trail” – along the southern Harz hill range. Several studies show that the Upper Permian in this
region is strongly fractured, and therefore the mechanical integrity of the
subsurface is disturbed. <xref ref-type="bibr" rid="bib1.bibx42" id="text.51"/> used a combination of different
geophysical methods and joint inversion to show that the fractured zones can
serve as pathways for meteoric and groundwater, and hence accelerate the
underground dissolution. Proven by salt springs and about 20 000 subrosion
structures, which shape the landscape south of the Harz Mountains
<xref ref-type="bibr" rid="bib1.bibx48" id="paren.52"/>, the Upper Permian provides the solvable material in the
near-surface area <xref ref-type="bibr" rid="bib1.bibx51" id="paren.53"/>, especially along the KSM Fault, where the
southward-draining groundwater from the Kyffhäuser hill range ascends
(Reuter, unpublished data). The different types and ages of the subrosion
features document the ongoing subrosion processes over time. Underground cave
growth (Fig. <xref ref-type="fig" rid="Ch1.F2"/>b; a description of the Barbarossa Cave is given
by <xref ref-type="bibr" rid="bib1.bibx52" id="altparen.54"/>) and weakening of the rock units lead and led to the
development of collapse (Fig. <xref ref-type="fig" rid="Ch1.F2"/>c, d) and sagging sinkholes,
which strongly affect urban constructions in and around BF. The most famous
subrosion feature in the area is the leaning church tower of BF that
currently has an inclination of 4.93<inline-formula><mml:math id="M7" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> (Fig. <xref ref-type="fig" rid="Ch1.F2"/>e) and has
been stabilized by a steel pylon construction. Since the last collapse of the
Quellgrund sinkhole in 1908, the tower's inclination has been increasing
rapidly due to disturbances within the drainage system beneath the building
(Sven Schmidt, Thuringian State Institute for Environment and Geology (TLUG),
personal communication, 2016). Several cavities and disrupted zones were
investigated by three research core drillings (depth: 100–458 <inline-formula><mml:math id="M8" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>)
between 2013 and 2015 around the leaning church tower and mainly in the upper
100 <inline-formula><mml:math id="M9" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> of the cap rock, which mainly consists of Zechstein anhydrites
and gypsum (Sven Schmidt, TLUG, personal communication, 2016). Other
investigations show similar results; e.g. the company SOCON Sonar Control
found and surveyed a large cavity (volume: 95.5 <inline-formula><mml:math id="M10" display="inline"><mml:mrow class="unit"><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:mrow></mml:math></inline-formula>, depth:
14.5–20.5 <inline-formula><mml:math id="M11" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>, radius: 8 <inline-formula><mml:math id="M12" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>) directly beneath the tower by
using an ultrasonic sound method through an older drill hole beside the tower
walls. In addition, the bigger part of infrastructure and buildings shows
cracks and damage, which led, e.g. to the necessity to rebuild the leaking
swimming pool in the city centre, several building renovations, and
reconstruction work.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2" specific-use="star"><?xmltex \currentcnt{2}?><label>Figure 2</label><caption><p id="d1e547">Subrosion features in Bad Frankenhausen (BF) and its surroundings.
<bold>(a)</bold> Digital elevation model and the colour-coded hydrogeological
assessment of BF and its surroundings (provided by Thuringian State Institute
of Environment and Geology, 2016; Sven Schmidt, personal communication, 2016; same map extent as in
Fig. <xref ref-type="fig" rid="Ch1.F1"/>). Salt water ascension and artesian groundwater conditions
affect the survey area (dark blue rectangle). Along the Kyffhäuser Southern
Margin Fault (KSM Fault; bold dashed line), a potential fluid path, and thus
a subrosion area, several sinkholes (red circles), as well as famous
subrosion features occur (filled red circles; see
panels <bold>b</bold>–<bold>e</bold>; sketch after <xref ref-type="bibr" rid="bib1.bibx97" id="altparen.55"/>). <bold>(b)</bold> Barbarossa Cave (detected in
1865) as part of an educational trail showing karst features along the
subrosion area. <bold>(c)</bold> The oldest sinkhole, Quellgrund (first mentioned
in 998 AD; collapsed for several times and for the last time in 1908; depth
now is approximately 10 <inline-formula><mml:math id="M13" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>), in the centre of the survey area comprises two
natural brines with salinities of 4 <inline-formula><mml:math id="M14" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula> and 9.8 <inline-formula><mml:math id="M15" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">%</mml:mi></mml:mrow></mml:math></inline-formula>.
<bold>(d)</bold> One of the most recent sinkholes (collapsed in 2009), in a field
beside the largest sinkhole of the region, the Äbtissingrube.
<bold>(e)</bold> The leaning church tower of BF (inclination: 4.93<inline-formula><mml:math id="M16" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>) is a
very famous subrosion feature and a magnet for tourists.</p></caption>
        <?xmltex \igopts{width=483.69685pt}?><graphic xlink:href="https://se.copernicus.org/articles/10/599/2019/se-10-599-2019-f02.png"/>

      </fig>

      <p id="d1e617">Sinkhole development and ongoing subsidence in urban regions such as BF
represent severe hazard. Therefore, we aim to detect mass redistribution
caused by subrosion by applying time-lapse gravity monitoring to improve the
understanding of subrosion processes.</p>
</sec>
<sec id="Ch1.S3">
  <label>3</label><title>Conception for measurement and data analysis</title>
      <p id="d1e628">Our general approach is the high-precision monitoring of subrosion-induced
time-variable gravity and height changes using regular repeated measurement
campaigns. Including<?pagebreak page602?> March 2014, when a 2-week long reference campaign was
performed, a total of 17 time-lapse gravimetry (1 week of measurement time)
and 18 levelling campaigns were carried out quarterly. The frequency of the
campaigns has been reduced to half-yearly intervals since the beginning of
2018. The observed temporal components provide the possibility to derive
evidence for ongoing subrosion and afford a quantification of the mass
relocation in the subsurface. Therefore, the time-lapse measurements have to
be close mesh and of high quality. Potential error sources have to be avoided
as much as possible. Realistic error estimations are required when
considering the results with respect to significance. All this must be taken
into account during planning, measurement, and data analysis. The key
requirements in this context are appropriate instrumentation, the local
stability of the individual measurement locations, their long-term
availability in variable infrastructural surroundings, and a method
(measurement and data analysis), which must be robust against inner-city
noise (pedestrians, cars, construction work) and systematic errors. In the
following, we describe our implemented conception for the monitoring and the
data analysis.</p>
<sec id="Ch1.S3.SS1">
  <label>3.1</label><title>Measurement: monitoring network</title>
      <?pagebreak page603?><p id="d1e638">A local combined geodetic–gravimetric measurement network was established in
Bad Frankenhausen in March 2014 (Fig. <xref ref-type="fig" rid="Ch1.F3"/>), based on previous
studies (gravimetry for structural investigations, levelling), site
inspection, experiences from similar studies <xref ref-type="bibr" rid="bib1.bibx65" id="paren.56"/>, and information
about future construction work in the measurement area. The northern part of
the city centre on the edge of the KSM Fault (Fig. <xref ref-type="fig" rid="Ch1.F2"/>a) is
subject to subsidence of up to several millimetres per year
(Fig. <xref ref-type="fig" rid="Ch1.F3"/>c) as determined by levelling surveys from 2000 to 2010
carried out by Scholte (Glückauf Vermessung Sondershausen, unpublished
data). Furthermore, the Bouguer anomaly in this area, which is trend reduced
by a second-order polynomial (Fig. <xref ref-type="fig" rid="Ch1.F3"/>b), correlates qualitatively
with the sinkhole areas I–III (cf. Fig. <xref ref-type="fig" rid="Ch1.F3"/>c). The negative
gravity anomalies are considered to be the first evidence for subsurface
subrosion-induced density contrasts. Hence, our extensive measurement network
(125 levelling points – 15 of them for time-lapse gravity monitoring) covers
the northern city with the focus on known sinkhole areas and zones of
gravimetric minima in the medieval centre. The connection to superior
reference systems provides stability control of the whole network. Our
levelling network is tied to the second-order trigonometric benchmark RP1 (RP:
reference point, Fig. <xref ref-type="fig" rid="Ch1.F3"/>a, Fig. <xref ref-type="fig" rid="Ch1.F4"/>c) and to LRP
(reference point for levelling) of third order at both ends of a
2.75 <inline-formula><mml:math id="M17" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula> long E–W-orientated profile (Fig. <xref ref-type="fig" rid="Ch1.F3"/>a). In
combination with the levelling network, we defined 12 points as
a gravimetric network in a close-mesh arrangement (Fig. <xref ref-type="fig" rid="Ch1.F3"/>, blue
dots: G01–G12) and three points as gravity reference points
(Fig. <xref ref-type="fig" rid="Ch1.F3"/>, red dots: RP1, RP2, RP3). Most of the measurement points
were installed on infrastructure such as cobblestoned footpaths and marked by
synthetic survey markers, which cover steel piles in 30 <inline-formula><mml:math id="M18" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">cm</mml:mi></mml:mrow></mml:math></inline-formula>
deep-drilled holes (Fig. <xref ref-type="fig" rid="Ch1.F4"/>a). Gravity points on meadows
(G02, G11, G12) are self-made concrete pedestals of 80 <inline-formula><mml:math id="M19" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">cm</mml:mi></mml:mrow></mml:math></inline-formula> depth to
reduce noise and soil freezing effects. They are marked by brass survey
markers (Fig. <xref ref-type="fig" rid="Ch1.F4"/>b).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3" specific-use="star"><?xmltex \currentcnt{3}?><label>Figure 3</label><caption><p id="d1e696">Combined geodetic–gravimetric network for the time-lapse surveys in
BF that started in March 2014 within the dark blue rectangle in
Fig. <xref ref-type="fig" rid="Ch1.F2"/>a. <bold>(a)</bold> Conception of
measurement points in BF with respect to the trend-corrected,
residual Bouguer anomaly <bold>(b)</bold>, results of levelling surveys
<bold>(c)</bold>, and famous subrosion features (Fig. <xref ref-type="fig" rid="Ch1.F2"/>c, e). Red
and blue coloured points show the gravimetric network, which is complemented
by the levelling network marked as yellow points.
<bold>(b)</bold> Trend-corrected Bouguer anomaly within the medieval centre of BF
from measurements of structural gravimetry in September 2013.
<bold>(c)</bold> Results of levelling surveys over 10 years show approximated
areas of equal subsidence rates, after Scholte (Glückauf Vermessung Sondershausen, unpublished data). Historical
sinkholes in this sketch are (i) the leaning church tower of BF (Fig. <xref ref-type="fig" rid="Ch1.F2"/>e),
(ii) Quellgrund (Fig. <xref ref-type="fig" rid="Ch1.F2"/>c), and
(iii) a broken and rebuilt swimming pool caused by stress fractures related
to subsidence. The locations of historical sinkhole areas coincide with areas
of negative gravity anomalies.</p></caption>
          <?xmltex \igopts{width=483.69685pt}?><graphic xlink:href="https://se.copernicus.org/articles/10/599/2019/se-10-599-2019-f03.png"/>

        </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4"><?xmltex \currentcnt{4}?><label>Figure 4</label><caption><p id="d1e731">Installation of the monitoring network. <bold>(a)</bold> Drilling of
levelling/gravity points that were stabilized by 30 <inline-formula><mml:math id="M20" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">cm</mml:mi></mml:mrow></mml:math></inline-formula> long steel
piles and marked by synthetic survey markers. <bold>(b)</bold> Pouring of an
80 <inline-formula><mml:math id="M21" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">cm</mml:mi></mml:mrow></mml:math></inline-formula> deep concrete base with even surface and brass survey markers.
<bold>(c)</bold> Example of benchmark RP1 operated by the Thuringian State Office
for Surveying and Geoinformation (TLVermGEO, personal communication, 2013).</p></caption>
          <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://se.copernicus.org/articles/10/599/2019/se-10-599-2019-f04.png"/>

        </fig>

</sec>
<sec id="Ch1.S3.SS2">
  <label>3.2</label><title>Measurement: devices and data acquisition</title>
<sec id="Ch1.S3.SS2.SSS1">
  <label>3.2.1</label><title>Instrumental array</title>
      <p id="d1e780">Up to four different gravity meters of various
manufacturers were used per campaign (Fig. <xref ref-type="fig" rid="Ch1.F5"/>). The gravimetrical
setup consisted of astasized relative metal spring gravity meters of
LaCoste &amp; Romberg G-type with feedback (LCR-G,
acc<fn id="Ch1.Footn1"><p id="d1e785">acc – accuracy for a single measurement of a gravity
difference under urban conditions in our local network derived from least
squares adjustments per campaign</p></fn>: <inline-formula><mml:math id="M22" display="inline"><mml:mrow><mml:mo>≤</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M23" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">Gal</mml:mi></mml:mrow></mml:math></inline-formula>; 1 <inline-formula><mml:math id="M24" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">Gal</mml:mi></mml:mrow></mml:math></inline-formula> = 10 <inline-formula><mml:math id="M25" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">nm</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">s</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>) and ZLS Burris (acc: <inline-formula><mml:math id="M26" display="inline"><mml:mrow><mml:mo>≤</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M27" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">Gal</mml:mi></mml:mrow></mml:math></inline-formula>),
as well as non-astasized quartz spring Scintrex CG3 (acc: <inline-formula><mml:math id="M28" display="inline"><mml:mrow><mml:mo>≤</mml:mo><mml:mn mathvariant="normal">8</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M29" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">Gal</mml:mi></mml:mrow></mml:math></inline-formula>) and CG5 (acc: <inline-formula><mml:math id="M30" display="inline"><mml:mrow><mml:mo>≤</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M31" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">Gal</mml:mi></mml:mrow></mml:math></inline-formula>) gravity meters (detailed
description of the instruments – LCR: <xref ref-type="bibr" rid="bib1.bibx93" id="altparen.57"/>; Scintrex:
<xref ref-type="bibr" rid="bib1.bibx85 bib1.bibx86" id="altparen.58"/>; ZLS Burris: <xref ref-type="bibr" rid="bib1.bibx40" id="altparen.59"/>). The mentioned
accuracies are dependent on the noise level, the measurement conditions, and
(especially concerning the Scintrex instruments) the age of the instrument
itself. Instrument heights above point label were controlled for each
observation. The gravity measurements were accompanied by levelling using a
Leica DNA03 digital level (standard deviation per kilometre double
run: 0.3 <inline-formula><mml:math id="M32" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi></mml:mrow></mml:math></inline-formula>; see <xref ref-type="bibr" rid="bib1.bibx56" id="altparen.60"/>) with two Invar bars to provide
height references for gravity height reductions and to conduct subsidence
monitoring. Additional equipment consisted of tripods, parasol to avoid
effects of sunshine and rain, and sensors for air pressure.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5" specific-use="star"><?xmltex \currentcnt{5}?><label>Figure 5</label><caption><p id="d1e920">Overview of the gravity meters and the method that was used in this
study. The accuracies (acc) were obtained from least squares adjustments per
campaign and are valid for the single measurement of a gravity difference.
<bold>(a)</bold> LaCoste &amp; Romberg G-Type (acc: <inline-formula><mml:math id="M33" display="inline"><mml:mrow><mml:mo>≤</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M34" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">Gal</mml:mi></mml:mrow></mml:math></inline-formula>).
<bold>(b)</bold> Scintrex CG5 (acc: <inline-formula><mml:math id="M35" display="inline"><mml:mrow><mml:mo>≤</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M36" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">Gal</mml:mi></mml:mrow></mml:math></inline-formula>). <bold>(c)</bold> Travel
path for the application of the step method – four points in a polygon mean
13 measurements. <bold>(d)</bold> Scintrex CG3 (acc: <inline-formula><mml:math id="M37" display="inline"><mml:mrow><mml:mo>≤</mml:mo><mml:mn mathvariant="normal">8</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M38" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">Gal</mml:mi></mml:mrow></mml:math></inline-formula>).
<bold>(e)</bold> ZLS Burris Gravity Meter (acc: <inline-formula><mml:math id="M39" display="inline"><mml:mrow><mml:mo>≤</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M40" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">Gal</mml:mi></mml:mrow></mml:math></inline-formula>).</p></caption>
            <?xmltex \igopts{width=455.244094pt}?><graphic xlink:href="https://se.copernicus.org/articles/10/599/2019/se-10-599-2019-f05.png"/>

          </fig>

</sec>
<sec id="Ch1.S3.SS2.SSS2">
  <label>3.2.2</label><title>Calibration setup for gravity meters</title>
      <p id="d1e1034">In preparation for the single
measurement campaigns, instrumental error sources were reduced by
determination of instrument-specific calibration factors and their stability
control to 10<inline-formula><mml:math id="M41" display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">4</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. This means that the inaccuracies due to calibration
are, within the effective gravity range of 6 <inline-formula><mml:math id="M42" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mGal</mml:mi></mml:mrow></mml:math></inline-formula>, on the order of
0.6 <inline-formula><mml:math id="M43" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">Gal</mml:mi></mml:mrow></mml:math></inline-formula>. The gravity meters were calibrated using the calibration
line in the university tower building in Hanover, Germany <xref ref-type="bibr" rid="bib1.bibx41" id="paren.61"/> and
the Harz mountain calibration line <xref ref-type="bibr" rid="bib1.bibx93" id="paren.62"/>. The estimated
accuracies of their gravity differences are in the range of 1 <inline-formula><mml:math id="M44" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">Gal</mml:mi></mml:mrow></mml:math></inline-formula>
for Hanover and 2 <inline-formula><mml:math id="M45" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">Gal</mml:mi></mml:mrow></mml:math></inline-formula> for Harz <xref ref-type="bibr" rid="bib1.bibx91 bib1.bibx92" id="paren.63"/>. Frequent
calibrations have shown stable<?pagebreak page604?> calibration factors for all used instruments.
Besides, regular laboratory tests with respect to dependencies on
instrumental air pressure effects, drift behaviour, and tilt were performed
for accurate instrument modulation.</p>
</sec>
<sec id="Ch1.S3.SS2.SSS3">
  <label>3.2.3</label><title>Time-lapse gravity monitoring</title>
      <p id="d1e1105">Evidence of mass loss due to
underground leaching requires a measurement concept, which focuses on both
accuracy and efficiency. The most convenient procedure is the measurement of
gravity differences between the points in a network applying the step method
for optimal drift control <xref ref-type="bibr" rid="bib1.bibx93" id="paren.64"/>. Therefore, the gravimetric
measurement network (Fig. <xref ref-type="fig" rid="Ch1.F3"/>) was subdivided into polygons
consisting of four to six points each. In a four-point polygon, this resulted
in a total amount of 13 measurements; i.e. four differences were each measured
three times (Fig. <xref ref-type="fig" rid="Ch1.F5"/>c). The advantage of this method is an optimal drift
determination and the possibility of statistical validation of each measured
gravity difference. At a measurement point, and for statistical and accuracy
reasons, different settings were used depending on the type of gravity meter:
Scintrex – 10 measurements in cycles of 60 <inline-formula><mml:math id="M46" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">s</mml:mi></mml:mrow></mml:math></inline-formula> (45 <inline-formula><mml:math id="M47" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">s</mml:mi></mml:mrow></mml:math></inline-formula>
registration, 15 <inline-formula><mml:math id="M48" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">s</mml:mi></mml:mrow></mml:math></inline-formula> break); LCR-G – three measurements at three spindle
positions (<inline-formula><mml:math id="M49" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">0.1</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M50" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">scale</mml:mi><mml:mspace linebreak="nobreak" width="0.25em"/><mml:mi mathvariant="normal">units</mml:mi></mml:mrow></mml:math></inline-formula>) using feedback; ZLS Burris – five
measurements at a fixed spindle position using only feedback (range:
<inline-formula><mml:math id="M51" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">25</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M52" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mGal</mml:mi></mml:mrow></mml:math></inline-formula>).</p>
</sec>
</sec>
<sec id="Ch1.S3.SS3">
  <label>3.3</label><title>Data analysis: processing steps</title>
      <p id="d1e1188">Measured height changes obtained by levelling campaigns are processed using
Nigra, a special software for the analysis of levelling <xref ref-type="bibr" rid="bib1.bibx94" id="paren.65"/>.
Here, the height differences<?pagebreak page605?> are not adjusted, but discrepancies are
distributed along a profile or in loops after the averaging of all
double-observed height differences.</p>
      <p id="d1e1194">Gravimetric time series contain numerous effects that superimpose the signal
of interest. Therefore, and to compare the observed gravity differences
between network points for different campaigns, as well as to identify a
potential subrosion signal due to mass redistribution, several processing
steps had to be applied (Table <xref ref-type="table" rid="Ch1.T1"/>). Highly sensitive gravity
meters are affected by shocks and tilt, e.g. by passing cars or pedestrians,
which can produce errors like jumps or spikes in the datasets. Especially,
Scintrex gravity meters are sensitive to transportation effects, i.e. to
long-lasting run-in periods due to the relaxation of accumulated tension in
the sensor <xref ref-type="bibr" rid="bib1.bibx74 bib1.bibx47" id="paren.66"/>. These effects mainly occur after
tilting a Scintrex instrument by <inline-formula><mml:math id="M53" display="inline"><mml:mrow><mml:mo>≥</mml:mo><mml:mn mathvariant="normal">8</mml:mn></mml:mrow></mml:math></inline-formula><inline-formula><mml:math id="M54" display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> for several minutes during
transportation. Additionally, random and systematic errors occur. Hence,
preprocessing was applied to correct the data per point for outliers, jumps,
spikes, and running-in behaviour, and finally, to average them.</p>
      <p id="d1e1220">The pre-corrected mean gravity records contain different instrumental and
environmental signal content (explained in detail, e.g. by
<xref ref-type="bibr" rid="bib1.bibx93" id="altparen.67"/> or <xref ref-type="bibr" rid="bib1.bibx91" id="altparen.68"/>), which varies continuously with
time or occurs irregularly, and superimposes the potential subrosion signal.
Thus, the observations of each single gravity meter and all gravity meters
combined were analysed by a least squares adjustment <xref ref-type="bibr" rid="bib1.bibx106" id="paren.69"/> using
the Fortran-based programme package GNLSA 1.01 (<xref ref-type="bibr" rid="bib1.bibx103" id="altparen.70"/>,
unpublished data). It executes the correction of data for Earth tides and
ocean loading tides, gravitative and instrumental air pressure effects,
height reduction of the gravity meter mass suspension relating to the point
label by using the vertical standard gravity gradient on Earth's surface of
<inline-formula><mml:math id="M55" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.3086</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M56" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mGal</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>, as well as the application of all
calibration factors as described in Sect. <xref ref-type="sec" rid="Ch1.S3.SS2"/>. It also
includes the adjustment of linear drifts. If drift effects appeared as highly
non-linear on some days, we divided these days and introduced “additional”
gravity meters instead. Another important requirement was the weighting of
gravity meters during the least squares adjustment according to their
precision level. The results of running GNLSA are adjusted gravity
differences plus SD for every possible difference in the network and
adjusted linear drift parameters for each campaign. Furthermore, gravity
values plus SD for each single measurement point are calculated from the
adjusted gravity differences based on given absolute levels of reference
points.</p>
      <p id="d1e1265">Subsequently, a post-processing takes places. Firstly, temporal height
variations of gravity points as derived from the levelling campaigns were
taken into account using the vertical standard gravity gradient on Earth's
surface. Secondly, the gravity differences show seasonal effects (Sect. <xref ref-type="sec" rid="Ch1.S4.SS2"/>, Figs. <xref ref-type="fig" rid="Ch1.F8"/>, <xref ref-type="fig" rid="Ch1.F9"/>), which correlate well
with temporal variations in the soil water content. These were considered
within data post-processing as described in the following section.</p>
</sec>
<sec id="Ch1.S3.SS4">
  <label>3.4</label><title>Data analysis: hydrological effects</title>
      <?pagebreak page606?><p id="d1e1283">So far, the gravimetric potentially subrosion-induced signal of interest is
still superimposed by hydrological effects like changes in groundwater table
and soil water content <xref ref-type="bibr" rid="bib1.bibx10 bib1.bibx58" id="paren.71"/>. These are characterized by
spatial point-to-point and temporal campaign-to-campaign variations.
Hydrological effects are also dependent on the topography around a
measurement point <xref ref-type="bibr" rid="bib1.bibx65 bib1.bibx22" id="paren.72"/>. Unfortunately, no recordings of
groundwater level and soil water content are available in or near the
measurement area.</p>
      <p id="d1e1292">Soil water content can vary in two ways: irregularly and seasonally. To
compute its effect on gravity data, several models on different scales and
resolution are available <xref ref-type="bibr" rid="bib1.bibx59 bib1.bibx27" id="paren.73"><named-content content-type="pre">e.g.</named-content></xref>. In this study,
the Global Land Data Assimilation System (GLDAS – model type: Noah) from
NASA was chosen <xref ref-type="bibr" rid="bib1.bibx76" id="paren.74"/>, because no local soil water models are
available for our measurement area in that quality. It includes extensive
regional climate data (temperature, air pressure, humidity, long-wave
radiation) on a <inline-formula><mml:math id="M57" display="inline"><mml:mrow><mml:mn mathvariant="normal">0.25</mml:mn><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup><mml:mo>×</mml:mo><mml:mn mathvariant="normal">0.25</mml:mn><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:mrow></mml:math></inline-formula> grid over Europe and
provides monthly soil water content that covers the upper 2 m of
depth. GLDAS Noah is available online and open source <xref ref-type="bibr" rid="bib1.bibx5" id="paren.75"/>. The
computed varying soil water content has the dimension of
“<inline-formula><mml:math id="M58" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi></mml:mrow></mml:math></inline-formula> water column” and was interpolated for the first day of each
measurement campaign. The correction of gravity differences is based on the
determination of respectively associated regression coefficients in the
dimension of <inline-formula><mml:math id="M59" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">Gal</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">mm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>. Here, a regression coefficient
symbolizes the differences in the time-variable soil water content between
two points of a gravity difference and further discrepancies in point
conditions such as topography, porosity, or sealing. We multiplied a single
coefficient with the soil water content and reduced the result from the
associated time-variable gravity difference. The remaining signal in the
gravity differences contains mainly long-periodic subrosion-related gravity
variations, in case subrosion is taking place, plus short-periodic noise, and
location-dependent non-computable groundwater effects.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1" specific-use="star"><?xmltex \currentcnt{1}?><label>Table 1</label><caption><p id="d1e1357">Data processing steps on time-lapse gravity
observations.</p></caption><oasis:table frame="topbot"><?xmltex \begin{scaleboxenv}{.85}[.85]?><oasis:tgroup cols="4">
     <oasis:colspec colnum="1" colname="col1" align="justify" colwidth="56.905512pt"/>
     <oasis:colspec colnum="2" colname="col2" align="justify" colwidth="170.716535pt"/>
     <oasis:colspec colnum="3" colname="col3" align="justify" colwidth="137.995866pt"/>
     <oasis:colspec colnum="4" colname="col4" align="justify" colwidth="156.490157pt"/>
     <oasis:thead>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Processing step</oasis:entry>
         <oasis:entry colname="col2">Source of data superposition</oasis:entry>
         <oasis:entry colname="col3">Corrections (<inline-formula><mml:math id="M60" display="inline"><mml:mo lspace="0mm">•</mml:mo></mml:math></inline-formula>) and further steps (<inline-formula><mml:math id="M61" display="inline"><mml:mo lspace="0mm">→</mml:mo></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col4">Tool for correction</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Pre-processing and data quality control</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M62" display="inline"><mml:mo>•</mml:mo></mml:math></inline-formula> random and systematic errors<?xmltex \hack{\hfill\break}?> <inline-formula><mml:math id="M63" display="inline"><mml:mo>•</mml:mo></mml:math></inline-formula> anthropogenic noise (cars, pedestrians, etc.)<?xmltex \hack{\hfill\break}?> <inline-formula><mml:math id="M64" display="inline"><mml:mo>•</mml:mo></mml:math></inline-formula> instrumental effects (tilt, tension, etc.)</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M65" display="inline"><mml:mo>•</mml:mo></mml:math></inline-formula> spikes, jumps<?xmltex \hack{\hfill\break}?> <inline-formula><mml:math id="M66" display="inline"><mml:mo>•</mml:mo></mml:math></inline-formula> running-in behaviour<?xmltex \hack{\hfill\break}?> <inline-formula><mml:math id="M67" display="inline"><mml:mo>•</mml:mo></mml:math></inline-formula> oscillating values<?xmltex \hack{\hfill\break}?> <inline-formula><mml:math id="M68" display="inline"><mml:mo>→</mml:mo></mml:math></inline-formula> finally averaging of values</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M69" display="inline"><mml:mo>•</mml:mo></mml:math></inline-formula> self-written Python-based software</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Least squares <?xmltex \hack{\hfill\break}?>adjustment</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M70" display="inline"><mml:mo>•</mml:mo></mml:math></inline-formula> tides<?xmltex \hack{\hfill\break}?> <inline-formula><mml:math id="M71" display="inline"><mml:mo>•</mml:mo></mml:math></inline-formula> air pressure changes<?xmltex \hack{\hfill\break}?> <inline-formula><mml:math id="M72" display="inline"><mml:mo>•</mml:mo></mml:math></inline-formula> instrumental effects<?xmltex \hack{\hfill\break}?> <inline-formula><mml:math id="M73" display="inline"><mml:mo>•</mml:mo></mml:math></inline-formula> setup effects</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M74" display="inline"><mml:mo>•</mml:mo></mml:math></inline-formula> Earth tides<?xmltex \hack{\hfill\break}?> <inline-formula><mml:math id="M75" display="inline"><mml:mo>•</mml:mo></mml:math></inline-formula> ocean loading tides<?xmltex \hack{\hfill\break}?> <inline-formula><mml:math id="M76" display="inline"><mml:mo>•</mml:mo></mml:math></inline-formula> atmospheric pressure<?xmltex \hack{\hfill\break}?> <inline-formula><mml:math id="M77" display="inline"><mml:mo>•</mml:mo></mml:math></inline-formula> instr. air-pressure effect<?xmltex \hack{\hfill\break}?> <inline-formula><mml:math id="M78" display="inline"><mml:mo>•</mml:mo></mml:math></inline-formula> calibration factors<?xmltex \hack{\hfill\break}?> <inline-formula><mml:math id="M79" display="inline"><mml:mo>•</mml:mo></mml:math></inline-formula> instr. height reduction<?xmltex \hack{\hfill\break}?> <inline-formula><mml:math id="M80" display="inline"><mml:mo>→</mml:mo></mml:math></inline-formula> weighting of gravity meters<?xmltex \hack{\hfill\break}?> <inline-formula><mml:math id="M81" display="inline"><mml:mo>→</mml:mo></mml:math></inline-formula> adjustment of linear drift</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M82" display="inline"><mml:mo>•</mml:mo></mml:math></inline-formula> GNLSA 1.01 <xref ref-type="bibr" rid="bib1.bibx103" id="paren.76"/></oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Post-processing</oasis:entry>
         <oasis:entry colname="col2"><inline-formula><mml:math id="M83" display="inline"><mml:mo>•</mml:mo></mml:math></inline-formula> point subsidence<?xmltex \hack{\hfill\break}?> <inline-formula><mml:math id="M84" display="inline"><mml:mo>•</mml:mo></mml:math></inline-formula> hydrological effects</oasis:entry>
         <oasis:entry colname="col3"><inline-formula><mml:math id="M85" display="inline"><mml:mo>•</mml:mo></mml:math></inline-formula> height changes on gravity points<?xmltex \hack{\hfill\break}?> <inline-formula><mml:math id="M86" display="inline"><mml:mo>•</mml:mo></mml:math></inline-formula> soil water content</oasis:entry>
         <oasis:entry colname="col4"><inline-formula><mml:math id="M87" display="inline"><mml:mo>•</mml:mo></mml:math></inline-formula> self-written Python-based software<?xmltex \hack{\hfill\break}?> <inline-formula><mml:math id="M88" display="inline"><mml:mo>•</mml:mo></mml:math></inline-formula> global model GLDAS <xref ref-type="bibr" rid="bib1.bibx76" id="paren.77"/></oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup><?xmltex \end{scaleboxenv}?></oasis:table></table-wrap>

      <p id="d1e1681">With regard to groundwater variations, it is known from some drillings that
the depth of groundwater in Bad Frankenhausen varies between 2.5 <inline-formula><mml:math id="M89" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> in
the southern and up to 10–20 <inline-formula><mml:math id="M90" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> in the northern part of our
monitoring network. However, no specific evidence of the local groundwater
level depth is available. A few gauges of groundwater level exist at a
distance of 5–10 <inline-formula><mml:math id="M91" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula>. The groundwater level only partially correlates
with the soil water content from the GLDAS model in a seasonal range. As a first
proxy, and under the assumption that these groundwater variations are roughly
valid for the measurement area as well, the previously determined regression
coefficient for soil water content could partly include the effect of
groundwater changes. Also it has to be considered that the groundwater signal has a
phase shift relative to the soil water content. If local groundwater data
were available, a second regression coefficient for groundwater correlation
could be calculated.</p>
</sec>
</sec>
<sec id="Ch1.S4">
  <label>4</label><title>Results</title>
<sec id="Ch1.S4.SS1">
  <label>4.1</label><title>Levelling</title>
      <p id="d1e1724">The results over 4 years of levelling are shown in Fig. <xref ref-type="fig" rid="Ch1.F6"/> as an
overview. Achieved accuracies over all campaigns are in the range of
<inline-formula><mml:math id="M92" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1.5</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M93" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi></mml:mrow></mml:math></inline-formula> for the 2.75 <inline-formula><mml:math id="M94" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">km</mml:mi></mml:mrow></mml:math></inline-formula> long E–W-orientated profile and
<inline-formula><mml:math id="M95" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1.0</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M96" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi></mml:mrow></mml:math></inline-formula> for the loops in the northern city centre
(Fig. <xref ref-type="fig" rid="Ch1.F6"/>b). The reference points for levelling (RP1, LRP; see
Fig. <xref ref-type="fig" rid="Ch1.F3"/>) were stable over the past 4 years. In Fig. <xref ref-type="fig" rid="Ch1.F6"/>,
the measurement network is overlain by colour-coded points showing the height
changes in April 2018 relative to March 2014. Most of the points do not change significantly in height (green
colour), mainly on the E–W profile and outside of the mentioned sinkhole
areas. Here, the height variations are in the range of
<inline-formula><mml:math id="M97" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">2.5</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M98" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">a</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>.</p>

      <?xmltex \floatpos{p}?><fig id="Ch1.F6" specific-use="star"><?xmltex \currentcnt{6}?><label>Figure 6</label><caption><p id="d1e1809">Levelling results over 4 years. <bold>(a)</bold> Measurement
network in BF showing colour-coded height changes between
April 2018 and the reference measurement in March 2014. Additional black
points mark the gravimetric network. <bold>(b)</bold> Height variations over
4 years in the medieval centre of BF, with up to <inline-formula><mml:math id="M99" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">121.7</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M100" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi></mml:mrow></mml:math></inline-formula> at point
G07. They are compared to the location of historical sinkholes (brown
polygons) and the levelling results obtained by Scholte (Glückauf Vermessung Sondershausen, unpublished data). The blue
lines mark the current levelling profiles that show the time-variable
development of subsidence in Fig. <xref ref-type="fig" rid="Ch1.F7"/>.</p></caption>
          <?xmltex \igopts{width=455.244094pt}?><graphic xlink:href="https://se.copernicus.org/articles/10/599/2019/se-10-599-2019-f06.png"/>

        </fig>

      <p id="d1e1844">Within the medieval centre of BF, two areas of continuous height changes are
remarkable (yellow–orange–red dots in Fig. <xref ref-type="fig" rid="Ch1.F6"/>b). The first of these
is located around gravity points G04 and G09 and covers the
western–southwestern slope area of the ancient Quellgrund sinkhole.
Subsidence rates are 3.5–5.4 <inline-formula><mml:math id="M101" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">a</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> with the local maximum of
21.7 <inline-formula><mml:math id="M102" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi></mml:mrow></mml:math></inline-formula> in total over 4 years at point G04. The second area
includes gravity points G05, G07, and G08 and is located
northwest–northeast of the leaning church tower. Subsidence rates are
3.0–30.4 <inline-formula><mml:math id="M103" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">a</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> with the local maximum of 121.7 <inline-formula><mml:math id="M104" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi></mml:mrow></mml:math></inline-formula> in total over 4 years at point G07.</p>
      <?pagebreak page607?><p id="d1e1900">Within these areas, two profiles covering the local sinkhole territory were
defined to show the time-variable development of the subsidence (blue lines
in Fig. <xref ref-type="fig" rid="Ch1.F6"/>b, profiles shown in Fig. <xref ref-type="fig" rid="Ch1.F7"/>). Curves are smoothed
by a weighted moving average of width three values (weighting factors:
<inline-formula><mml:math id="M105" display="inline"><mml:mrow><mml:msub><mml:mi>w</mml:mi><mml:mrow><mml:mi>n</mml:mi><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msub><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.1</mml:mn></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M106" display="inline"><mml:mrow><mml:msub><mml:mi>w</mml:mi><mml:mi>n</mml:mi></mml:msub><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.8</mml:mn></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M107" display="inline"><mml:mrow><mml:msub><mml:mi>w</mml:mi><mml:mrow><mml:mi>n</mml:mi><mml:mo>+</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msub><mml:mo>=</mml:mo><mml:mn mathvariant="normal">0.1</mml:mn></mml:mrow></mml:math></inline-formula>). Additionally, levelling
observations were affected by seasonal variations, e.g. due to ground frost
or drying. We reduced these seasonal and area-wide effects by using a
constant offset based on seasonally constant levelling points to emphasize
the evolving subrosion patterns within instable zones. Figure <xref ref-type="fig" rid="Ch1.F7"/>
displays yearly variations relative to March 2014 and, additionally, the last
measurement campaign in April 2018. The church profile (gravity point G07 is
not included) reveals irregular subsidence from northwest to northeast of the
leaning church tower, i.e. between points G05 and G08, which correlates
qualitatively with the results of Scholte (Glückauf Vermessung Sondershausen, unpublished data). Subsidence
rates from 2014 to 2016 were 2–6 <inline-formula><mml:math id="M108" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">a</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> and have decreased since 2017
to 1–4 <inline-formula><mml:math id="M109" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">a</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> with the exception of, e.g. point G08. To the
south and west of the leaning church tower, no significant height changes can
be detected. The Quellgrund profile shows a similar pattern. The subsidence
rates from 2014 to 2016 were 0–4 <inline-formula><mml:math id="M110" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">a</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> and decreased abruptly
between 2017 and 2018 to 0–0.5 <inline-formula><mml:math id="M111" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">a</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>.</p>

      <?xmltex \floatpos{p}?><fig id="Ch1.F7" specific-use="star"><?xmltex \currentcnt{7}?><label>Figure 7</label><caption><p id="d1e2035">Levelling results along two selected profiles in the network (cf. Fig. <xref ref-type="fig" rid="Ch1.F6"/>) showing ongoing but irregular subsidence in yearly time
intervals (curves are smoothed by a weighted moving average of width three
and offset due to, e.g. effects of ground frost, to emphasize the evolving
subrosion patterns). <bold>(a)</bold> Profile alongside and across the historical
Quellgrund sinkhole shows subsidence of up to 12 <inline-formula><mml:math id="M112" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi></mml:mrow></mml:math></inline-formula> in the sinkhole
and on its western–southwestern margin. <bold>(b)</bold> Profile around the
leaning church tower shows subsidence of up to 22 <inline-formula><mml:math id="M113" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi></mml:mrow></mml:math></inline-formula> along the
northern part of the church tower.</p></caption>
          <?xmltex \igopts{width=483.69685pt}?><graphic xlink:href="https://se.copernicus.org/articles/10/599/2019/se-10-599-2019-f07.png"/>

        </fig>

      <p id="d1e2068">All height changes at gravity points were used to correct time-lapse gravity
results for subsidence and to refer them to the reference campaign in
March 2014.</p>
</sec>
<sec id="Ch1.S4.SS2">
  <label>4.2</label><title>Time-lapse gravity</title>
<sec id="Ch1.S4.SS2.SSS1">
  <label>4.2.1</label><title>Reference points</title>
      <p id="d1e2086">Gravity reference points provide stability control
of the whole network and the possibility to calculate gravity values plus SD
for each single measurement point from the adjusted gravity differences
(<inline-formula><mml:math id="M114" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>g</mml:mi></mml:mrow></mml:math></inline-formula>). After least squares adjustment (LSA), the <inline-formula><mml:math id="M115" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>g</mml:mi></mml:mrow></mml:math></inline-formula> between
predefined reference points RP1 and RP2 (cf. Fig. <xref ref-type="fig" rid="Ch1.F3"/>) for
time-lapse gravity observation shows small but significant gravity changes,
and therefore RP1 and RP2 were not used as reference points. Reference point
RP3 was defined later, in June 2015, and is located at the town hall site in
BF. Close by, in the cellar of the town hall, three absolute gravity
campaigns were carried out in June 2015, August 2016, and August 2018. The
results show that the town hall site is stable within standard deviations of
<inline-formula><mml:math id="M116" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M117" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">Gal</mml:mi></mml:mrow></mml:math></inline-formula> (<inline-formula><mml:math id="M118" display="inline"><mml:mrow><mml:mi>c</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">981</mml:mn><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mn mathvariant="normal">171</mml:mn><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mn mathvariant="normal">700</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M119" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">Gal</mml:mi></mml:mrow></mml:math></inline-formula>; 2015:
<inline-formula><mml:math id="M120" display="inline"><mml:mrow><mml:mi>c</mml:mi><mml:mo>+</mml:mo><mml:mn mathvariant="normal">47.3</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M121" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">Gal</mml:mi></mml:mrow></mml:math></inline-formula>; 2016: <inline-formula><mml:math id="M122" display="inline"><mml:mrow><mml:mi>c</mml:mi><mml:mo>+</mml:mo><mml:mn mathvariant="normal">45.2</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M123" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">Gal</mml:mi></mml:mrow></mml:math></inline-formula>; 2018:
<inline-formula><mml:math id="M124" display="inline"><mml:mrow><mml:mi>c</mml:mi><mml:mo>+</mml:mo><mml:mn mathvariant="normal">44.4</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M125" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">Gal</mml:mi></mml:mrow></mml:math></inline-formula>; Ludger Timmen, Leibniz University Hanover, personal
communication, 4 December 2018). In the next step, we considered the temporal
variations of all <inline-formula><mml:math id="M126" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>g</mml:mi></mml:mrow></mml:math></inline-formula> between our network points and RP3 before
correcting the hydrological effect of soil water content, to define new
stable reference points for further data analysis. Figure <xref ref-type="fig" rid="Ch1.F8"/>a shows
the variations of the <inline-formula><mml:math id="M127" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>g</mml:mi></mml:mrow></mml:math></inline-formula> between RP3 and gravity points G01, G03, and
G05, which scatter around zero (including seasonal effects of
<inline-formula><mml:math id="M128" display="inline"><mml:mrow><mml:mo>±</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:math></inline-formula>–3 <inline-formula><mml:math id="M129" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">Gal</mml:mi></mml:mrow></mml:math></inline-formula>), and thus they were chosen as new reference points
within our measurement network. The algebraic sign of a <inline-formula><mml:math id="M130" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>g</mml:mi></mml:mrow></mml:math></inline-formula> is
dependent on the order of the sequence of calculation (<inline-formula><mml:math id="M131" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi>g</mml:mi><mml:mrow><mml:mi>x</mml:mi><mml:mi>y</mml:mi></mml:mrow></mml:msub><mml:mo>=</mml:mo><mml:mo>-</mml:mo><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi>g</mml:mi><mml:mrow><mml:mi>y</mml:mi><mml:mi>x</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:math></inline-formula>). Based on the results, we assume that the new reference points were
stable before August 2015 as well.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F8" specific-use="star"><?xmltex \currentcnt{8}?><label>Figure 8</label><caption><p id="d1e2312">Results of time-lapse gravity monitoring shown by the adjusted
gravity differences (<inline-formula><mml:math id="M132" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>g</mml:mi></mml:mrow></mml:math></inline-formula>) between the stable reference point RP3 and
points G01, G03, and G05, as well as, exemplarily shown, by the adjusted
gravity difference between points G01 and G12 (<inline-formula><mml:math id="M133" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi>g</mml:mi><mml:mrow><mml:mi>x</mml:mi><mml:mi>y</mml:mi></mml:mrow></mml:msub><mml:mo>=</mml:mo><mml:mo>-</mml:mo><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi>g</mml:mi><mml:mrow><mml:mi>y</mml:mi><mml:mi>x</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:math></inline-formula>). <bold>(a)</bold> <inline-formula><mml:math id="M134" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>g</mml:mi></mml:mrow></mml:math></inline-formula> scatter around zero and reveal that
gravity points G01, G03, and G05 are stable. In addition, the best linear fit
shows an insignificant trend of <inline-formula><mml:math id="M135" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M136" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">Gal</mml:mi></mml:mrow></mml:math></inline-formula> over 2 years for the
three shown <inline-formula><mml:math id="M137" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>g</mml:mi></mml:mrow></mml:math></inline-formula>. The <inline-formula><mml:math id="M138" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>g</mml:mi></mml:mrow></mml:math></inline-formula> values are based on the absolute
gravity measurements at point RP3, carried out by Leibniz University Hanover
(LUH), which prove that RP3 is stable (Ludger Timmen, LUH, personal
communication, 4 December 2018). <bold>(b)</bold> <inline-formula><mml:math id="M139" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>g</mml:mi></mml:mrow></mml:math></inline-formula> (blue) compared to
the soil water content from GLDAS (brown) and the calculated regression
coefficient between both in the dimension of <inline-formula><mml:math id="M140" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">Gal</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">mm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>.
<bold>(c)</bold> <inline-formula><mml:math id="M141" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>g</mml:mi></mml:mrow></mml:math></inline-formula> (solid blue) corrected for soil water using the
regression coefficient. Dotted lines show the previous state. Regression
lines show the <inline-formula><mml:math id="M142" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>g</mml:mi></mml:mrow></mml:math></inline-formula> over 4 years before and after the hydrological
correction, as well as the decrease of the trend.</p></caption>
            <?xmltex \igopts{width=483.69685pt}?><graphic xlink:href="https://se.copernicus.org/articles/10/599/2019/se-10-599-2019-f08.png"/>

          </fig>

</sec>
<sec id="Ch1.S4.SS2.SSS2">
  <label>4.2.2</label><title>Gravity differences</title>
      <?pagebreak page609?><p id="d1e2479">In the following, all shown and discussed
results are related to our reference campaign in March 2014. Gravity
differences (<inline-formula><mml:math id="M143" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>g</mml:mi></mml:mrow></mml:math></inline-formula>) were determined in the LSA for each possible <inline-formula><mml:math id="M144" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>g</mml:mi></mml:mrow></mml:math></inline-formula> between the 12 measurement points in the northern city centre (66 overall;
see Fig. <xref ref-type="fig" rid="Ch1.F3"/>c). Some of them could not be measured in a few
campaigns (column 3 in Table <xref ref-type="table" rid="Ch1.T2"/>) caused by, e.g. construction work.
The SDs of adjusted <inline-formula><mml:math id="M145" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>g</mml:mi></mml:mrow></mml:math></inline-formula> vary between 1.1 and 3.6 <inline-formula><mml:math id="M146" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">Gal</mml:mi></mml:mrow></mml:math></inline-formula>
depending on the season, the combination of used gravity meters, and the
number of adjusted <inline-formula><mml:math id="M147" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>g</mml:mi></mml:mrow></mml:math></inline-formula> per campaign (Table <xref ref-type="table" rid="Ch1.T2"/>). From the
beginning of the study until now, the accuracy of the results of the LSA could
be successively increased, i.a. due to the purchase of the high-precision
gravity meters (Scintrex CG5 and ZLS Burris). These instruments perform their
own correction of the gravity observations for tilt and temperature effects.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T2" specific-use="star"><?xmltex \currentcnt{2}?><label>Table 2</label><caption><p id="d1e2542">Abstract of time-lapse gravimetric field
campaigns. Shown are the dates of the campaigns, unusable gravity points, the
gravity meters used for the observations per campaign (instruments are
LaCoste &amp; Romberg G-Type: LCR-G, Scintrex: CG3 and CG5, ZLS Burris: ZLS), and
their number (no.). Furthermore shown are the standard deviations of
adjusted gravity differences (SD of <inline-formula><mml:math id="M148" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>g</mml:mi></mml:mrow></mml:math></inline-formula>), the standard deviations of
gravity values on measurement points (SD per point), and the total number of
adjusted gravity differences (no. of <inline-formula><mml:math id="M149" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>g</mml:mi></mml:mrow></mml:math></inline-formula>) per campaign.</p></caption><?xmltex \vspace{0.25cm}?><oasis:table frame="topbot"><oasis:tgroup cols="7">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:colspec colnum="3" colname="col3" align="left"/>
     <oasis:colspec colnum="4" colname="col4" align="left"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:colspec colnum="7" colname="col7" align="right"/>
     <oasis:thead>
       <oasis:row>
         <oasis:entry colname="col1">Campaign</oasis:entry>
         <oasis:entry colname="col2">Period</oasis:entry>
         <oasis:entry colname="col3">Unusable</oasis:entry>
         <oasis:entry colname="col4">Gravity meters</oasis:entry>
         <oasis:entry colname="col5">SD of <inline-formula><mml:math id="M150" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>g</mml:mi></mml:mrow></mml:math></inline-formula></oasis:entry>
         <oasis:entry colname="col6">SD per point</oasis:entry>
         <oasis:entry colname="col7">No. of</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3">points</oasis:entry>
         <oasis:entry colname="col4">used</oasis:entry>
         <oasis:entry colname="col5">(<inline-formula><mml:math id="M151" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">Gal</mml:mi></mml:mrow></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col6">(<inline-formula><mml:math id="M152" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">Gal</mml:mi></mml:mrow></mml:math></inline-formula>)</oasis:entry>
         <oasis:entry colname="col7"><inline-formula><mml:math id="M153" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>g</mml:mi></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">03.2014</oasis:entry>
         <oasis:entry colname="col2">18–26 Mar</oasis:entry>
         <oasis:entry colname="col3">RP3</oasis:entry>
         <oasis:entry colname="col4">2 LCR-G; 1 CG3; 1 CG5; no. = 4</oasis:entry>
         <oasis:entry colname="col5">1.0–1.7</oasis:entry>
         <oasis:entry colname="col6">1.0–1.5</oasis:entry>
         <oasis:entry colname="col7">352</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">07.2014</oasis:entry>
         <oasis:entry colname="col2">1–5 Jul</oasis:entry>
         <oasis:entry colname="col3">RP3</oasis:entry>
         <oasis:entry colname="col4">2 LCR-G; 1 CG3; 1 CG5; no. = 4</oasis:entry>
         <oasis:entry colname="col5">1.4–2.4</oasis:entry>
         <oasis:entry colname="col6">1.4–2.2</oasis:entry>
         <oasis:entry colname="col7">250</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">09.2014</oasis:entry>
         <oasis:entry colname="col2">15–19 Sep</oasis:entry>
         <oasis:entry colname="col3">RP3</oasis:entry>
         <oasis:entry colname="col4">2 LCR-G; 1 CG3; 1 CG5; no. = 4</oasis:entry>
         <oasis:entry colname="col5">1.2–2.4</oasis:entry>
         <oasis:entry colname="col6">1.2–2.3</oasis:entry>
         <oasis:entry colname="col7">278</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">12.2014</oasis:entry>
         <oasis:entry colname="col2">2–6 Dec</oasis:entry>
         <oasis:entry colname="col3">RP3; G07</oasis:entry>
         <oasis:entry colname="col4">1 LCR-G; 1 CG3; 1 CG5; no. = 3</oasis:entry>
         <oasis:entry colname="col5">1.8–3.4</oasis:entry>
         <oasis:entry colname="col6">1.8–2.5</oasis:entry>
         <oasis:entry colname="col7">118</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">02.2015</oasis:entry>
         <oasis:entry colname="col2">16–20 Feb</oasis:entry>
         <oasis:entry colname="col3">RP3; G07</oasis:entry>
         <oasis:entry colname="col4">2 LCR-G; 1 CG3; 1 CG5; no. = 4</oasis:entry>
         <oasis:entry colname="col5">1.6–3.6</oasis:entry>
         <oasis:entry colname="col6">1.6–3.5</oasis:entry>
         <oasis:entry colname="col7">152</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">05.2015</oasis:entry>
         <oasis:entry colname="col2">18–22 May</oasis:entry>
         <oasis:entry colname="col3">RP3; G07; G08</oasis:entry>
         <oasis:entry colname="col4">2 LCR-G; 1 CG3; 1 CG5; no. = 4</oasis:entry>
         <oasis:entry colname="col5">1.2–2.5</oasis:entry>
         <oasis:entry colname="col6">1.2–2.4</oasis:entry>
         <oasis:entry colname="col7">269</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">08.2015</oasis:entry>
         <oasis:entry colname="col2">24–28 Aug</oasis:entry>
         <oasis:entry colname="col3">G08</oasis:entry>
         <oasis:entry colname="col4">1 LCR-G; 1 CG3; 1 CG5; no. = 3</oasis:entry>
         <oasis:entry colname="col5">1.1–1.8</oasis:entry>
         <oasis:entry colname="col6">1.1–1.5</oasis:entry>
         <oasis:entry colname="col7">206</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">11.2015</oasis:entry>
         <oasis:entry colname="col2">23–27 Nov</oasis:entry>
         <oasis:entry colname="col3">G05; G08</oasis:entry>
         <oasis:entry colname="col4">2 CG3; 1 CG5; no. = 3</oasis:entry>
         <oasis:entry colname="col5">1.5–2.5</oasis:entry>
         <oasis:entry colname="col6">1.5–2.4</oasis:entry>
         <oasis:entry colname="col7">144</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">02.2016</oasis:entry>
         <oasis:entry colname="col2">22–26 Feb</oasis:entry>
         <oasis:entry colname="col3">G08</oasis:entry>
         <oasis:entry colname="col4">1 CG3; 2 CG5; no. = 3</oasis:entry>
         <oasis:entry colname="col5">1.3–2.2</oasis:entry>
         <oasis:entry colname="col6">1.2–2.0</oasis:entry>
         <oasis:entry colname="col7">160</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">04.2016</oasis:entry>
         <oasis:entry colname="col2">25–29 Apr</oasis:entry>
         <oasis:entry colname="col3">G08</oasis:entry>
         <oasis:entry colname="col4">1 CG3; 1 CG5; no. = 2</oasis:entry>
         <oasis:entry colname="col5">1.0–1.7</oasis:entry>
         <oasis:entry colname="col6">1.0–1.5</oasis:entry>
         <oasis:entry colname="col7">164</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">07.2016</oasis:entry>
         <oasis:entry colname="col2">25–29 Jul</oasis:entry>
         <oasis:entry colname="col3">G08</oasis:entry>
         <oasis:entry colname="col4">1 CG3; 2 CG5; no. = 3</oasis:entry>
         <oasis:entry colname="col5">0.8–1.2</oasis:entry>
         <oasis:entry colname="col6">0.7–1.1</oasis:entry>
         <oasis:entry colname="col7">260</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">10.2016</oasis:entry>
         <oasis:entry colname="col2">17–21 Oct</oasis:entry>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4">2 CG3; 2 CG5; no. = 4</oasis:entry>
         <oasis:entry colname="col5">0.8–1.2</oasis:entry>
         <oasis:entry colname="col6">0.8–1.2</oasis:entry>
         <oasis:entry colname="col7">343</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">01.2017</oasis:entry>
         <oasis:entry colname="col2">9–13 Jan</oasis:entry>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4">1 CG3; 2 CG5; 1 ZLS; no. = 4</oasis:entry>
         <oasis:entry colname="col5">0.6–1.1</oasis:entry>
         <oasis:entry colname="col6">0.6–1.0</oasis:entry>
         <oasis:entry colname="col7">359</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">04.2017</oasis:entry>
         <oasis:entry colname="col2">3–7 Apr</oasis:entry>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4">1 CG3; 1 CG5; 1 ZLS; no. = 3</oasis:entry>
         <oasis:entry colname="col5">0.7–1.6</oasis:entry>
         <oasis:entry colname="col6">0.8–1.4</oasis:entry>
         <oasis:entry colname="col7">301</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">07.2017</oasis:entry>
         <oasis:entry colname="col2">10–14 Jul</oasis:entry>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4">2 CG5; 1 ZLS; no. = 3</oasis:entry>
         <oasis:entry colname="col5">0.7–1.4</oasis:entry>
         <oasis:entry colname="col6">0.7–1.2</oasis:entry>
         <oasis:entry colname="col7">308</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">10.2017</oasis:entry>
         <oasis:entry colname="col2">9–13 Oct</oasis:entry>
         <oasis:entry colname="col3"/>
         <oasis:entry colname="col4">2 CG5; 1 ZLS; no. = 3</oasis:entry>
         <oasis:entry colname="col5">0.7–1.3</oasis:entry>
         <oasis:entry colname="col6">0.7–1.2</oasis:entry>
         <oasis:entry colname="col7">377</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">04.2018</oasis:entry>
         <oasis:entry colname="col2">23–27 Apr</oasis:entry>
         <oasis:entry colname="col3">G03</oasis:entry>
         <oasis:entry colname="col4">2 CG5; 1 ZLS; no. = 3</oasis:entry>
         <oasis:entry colname="col5">0.6–1.4</oasis:entry>
         <oasis:entry colname="col6">0.8–1.1</oasis:entry>
         <oasis:entry colname="col7">374</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

      <p id="d1e3099">The results of the LSA are presented as an example with the temporal
variations over 4 years of the <inline-formula><mml:math id="M154" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>g</mml:mi></mml:mrow></mml:math></inline-formula> and their SD between the stable
point G01 (Fig. <xref ref-type="fig" rid="Ch1.F8"/>a) and point G12, which shows the highest
gravity decrease in our measurement network (Fig. <xref ref-type="fig" rid="Ch1.F8"/>b, c; values of
G12 subtracted from the values of G01). In addition, the seasonal content is
obviously significant. The SDs are shown as error bars that get smaller from
campaign to campaign, mostly because the LCR gravity meters of lower
precision are no longer part of the instrumental setup. Assuming that point
G01 is stable, the variations define a trend in <inline-formula><mml:math id="M155" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>g</mml:mi></mml:mrow></mml:math></inline-formula> of 3.0 <inline-formula><mml:math id="M156" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">Gal</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">a</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> (dotted line in Fig. <xref ref-type="fig" rid="Ch1.F8"/>c), which has displayed an overall
gravity decrease at G12 of 12.0 <inline-formula><mml:math id="M157" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">Gal</mml:mi></mml:mrow></mml:math></inline-formula> since March 2014. The
temporal variations of <inline-formula><mml:math id="M158" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>g</mml:mi></mml:mrow></mml:math></inline-formula> in Fig. <xref ref-type="fig" rid="Ch1.F8"/>b show seasonal signals
of 2–6 <inline-formula><mml:math id="M159" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">Gal</mml:mi></mml:mrow></mml:math></inline-formula> oscillating between minima mainly in the winter
months, e.g. December 2014 and February 2016, and maxima mainly in the
summer months, e.g. July 2016 and July 2017. These <inline-formula><mml:math id="M160" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>g</mml:mi></mml:mrow></mml:math></inline-formula> variations are
compared to the varying soil water content obtained from the global
hydrological model GLDAS (Sect. <xref ref-type="sec" rid="Ch1.S3.SS4"/>).</p>
      <p id="d1e3194">The <inline-formula><mml:math id="M161" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>g</mml:mi></mml:mrow></mml:math></inline-formula> G01–G12 correlates very well with the hydrological model
(brown curve in Fig. <xref ref-type="fig" rid="Ch1.F8"/>b), except for the time span between February 2015
and November 2015, which is not clearly understood. Here, the variations in soil
water content show a maximum. These peaks can also be affected by other
gravitational mass changes, e.g. groundwater variations, which cannot be
considered here (Sect. <xref ref-type="sec" rid="Ch1.S3.SS4"/>). For this example of <inline-formula><mml:math id="M162" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>g</mml:mi></mml:mrow></mml:math></inline-formula> variations, a regression coefficient of <inline-formula><mml:math id="M163" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">0.110</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M164" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">Gal</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">mm</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>
was determined between <inline-formula><mml:math id="M165" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>g</mml:mi></mml:mrow></mml:math></inline-formula> and the soil water content, and used to
correct <inline-formula><mml:math id="M166" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>g</mml:mi></mml:mrow></mml:math></inline-formula> for the soil water variations (Fig. <xref ref-type="fig" rid="Ch1.F8"/>c, solid
blue curve). The hydrological correction smoothes the curve for seasonal
variations in soil water content mainly in the second period of our
observation, starting from February 2016, and decreases the 4-year trend in
gravity by 4.2 <inline-formula><mml:math id="M167" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">Gal</mml:mi></mml:mrow></mml:math></inline-formula>. Between February and November 2015, the
hydrological correction seems to produce an increase in the seasonal signal,
which could also be induced by a minimum or phase shift of groundwater
level, that is not corrected here. However, the remaining signal reveals a
significant trend of gravity decrease over 4 years at point G12.</p>
      <p id="d1e3283">A hydrological correction applying an individual regression coefficient is
done for each <inline-formula><mml:math id="M168" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>g</mml:mi></mml:mrow></mml:math></inline-formula> in our network. A selection of <inline-formula><mml:math id="M169" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>g</mml:mi></mml:mrow></mml:math></inline-formula> variations
arranged in a rectangle between four measurement points is shown in
Fig. <xref ref-type="fig" rid="Ch1.F9"/>. In Fig. <xref ref-type="fig" rid="Ch1.F9"/>d, the above discussed <inline-formula><mml:math id="M170" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>g</mml:mi></mml:mrow></mml:math></inline-formula>
G01–G12 is displayed like in Fig. <xref ref-type="fig" rid="Ch1.F8"/>b. Firstly, the correction of
seasonal variations in the other gravity differences shows the same quality
in the displayed graphics as described for <inline-formula><mml:math id="M171" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>g</mml:mi></mml:mrow></mml:math></inline-formula> G01–G12. Furthermore,
the remaining gravity decrease of 7.8 <inline-formula><mml:math id="M172" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">Gal</mml:mi></mml:mrow></mml:math></inline-formula> over 4 years in the
<inline-formula><mml:math id="M173" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>g</mml:mi></mml:mrow></mml:math></inline-formula> G01–G12 is related to a gravity decrease at G12. Following the
variations of <inline-formula><mml:math id="M174" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>g</mml:mi></mml:mrow></mml:math></inline-formula> anticlockwise results in a gravity decrease at
G10 by 4.2 <inline-formula><mml:math id="M175" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">Gal</mml:mi></mml:mrow></mml:math></inline-formula> over 4 years, which is the difference of the
gravity decrease of 7.8 <inline-formula><mml:math id="M176" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">Gal</mml:mi></mml:mrow></mml:math></inline-formula> at G12 and the remaining gravity
variation of <inline-formula><mml:math id="M177" display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3.6</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M178" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">Gal</mml:mi></mml:mrow></mml:math></inline-formula> over 4 years of the <inline-formula><mml:math id="M179" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>g</mml:mi></mml:mrow></mml:math></inline-formula>
G12–G10 (Fig. <xref ref-type="fig" rid="Ch1.F9"/>b). The same procedure reveals a gravity decrease
of 0.8 <inline-formula><mml:math id="M180" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">Gal</mml:mi></mml:mrow></mml:math></inline-formula> over 4 years at point G09, which is insignificant,
and thus G09 and its difference to G01 are stable within the SD as well
(Fig. <xref ref-type="fig" rid="Ch1.F9"/>c). The remaining trends over 4 years of the four gravity
differences in Fig. <xref ref-type="fig" rid="Ch1.F9"/> add up to 0.1 <inline-formula><mml:math id="M181" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">Gal</mml:mi></mml:mrow></mml:math></inline-formula> over 4 years,
which may result from rounding during data processing and trend
fitting. However, the results show the feasibility of the applied
hydrological correction using individual regression coefficients for each
<inline-formula><mml:math id="M182" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>g</mml:mi></mml:mrow></mml:math></inline-formula> without producing any loop errors and thus the possibility of
identification of stable or instable gravity differences in the network.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F9" specific-use="star"><?xmltex \currentcnt{9}?><label>Figure 9</label><caption><p id="d1e3453">Selected adjusted gravity differences (<inline-formula><mml:math id="M183" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>g</mml:mi></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math id="M184" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi>g</mml:mi><mml:mrow><mml:mi>x</mml:mi><mml:mi>y</mml:mi></mml:mrow></mml:msub><mml:mo>=</mml:mo><mml:mo>-</mml:mo><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi>g</mml:mi><mml:mrow><mml:mi>y</mml:mi><mml:mi>x</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:math></inline-formula>) in the measurement network arranged in a rectangle
consisting of gravity points G01, G12, G10, and G09, and corrected for
soil water variations. <bold>(a)</bold> <inline-formula><mml:math id="M185" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>g</mml:mi></mml:mrow></mml:math></inline-formula> G10–G09 reveals gravity
decrease at G10, because G09 is stable within the SD. <bold>(b)</bold> <inline-formula><mml:math id="M186" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>g</mml:mi></mml:mrow></mml:math></inline-formula> G12–G10 reveals faster gravity decrease at G12 than at G10, relative to
each other. <bold>(c)</bold> <inline-formula><mml:math id="M187" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>g</mml:mi></mml:mrow></mml:math></inline-formula> G09–G01 shows insignificant variations
and reveals that also G09 is stable within the SD. <bold>(d)</bold> <inline-formula><mml:math id="M188" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>g</mml:mi></mml:mrow></mml:math></inline-formula>
G01–G12 shows a significant gravity decrease at G12 relative to G01, which
is located next to the leaning church tower, because G01 is stable within the
SD (cf. Fig. <xref ref-type="fig" rid="Ch1.F8"/>a).</p></caption>
            <?xmltex \igopts{width=483.69685pt}?><graphic xlink:href="https://se.copernicus.org/articles/10/599/2019/se-10-599-2019-f09.png"/>

          </fig>

</sec>
<?pagebreak page610?><sec id="Ch1.S4.SS2.SSS3">
  <label>4.2.3</label><title>Gravity values</title>
      <p id="d1e3565">For gravity investigations, it is not mandatory that
gravity values on installed benchmarks are stable over time <xref ref-type="bibr" rid="bib1.bibx102" id="paren.78"/>.
The careful selection of the benchmark locations prior to the installation of
the monitoring network is based upon the expectation of favourable noise and
environmental conditions at these points. However, during the operation time
of the network, these assumptions can turn out to be wrong or not
sustainable, e.g. due to unknown/changing hydrological conditions of soil or
groundwater, or construction work. Hence, the possibility of temporal
gravity changes at these benchmarks must be properly considered during
interpretation and discussion of results. Under the assumption that G01, G03,
and G05 are stable relative to the stable point RP3 (Fig. <xref ref-type="fig" rid="Ch1.F8"/>a) and
relative to each other in all LSA, the absolute gravity values were set
fixed
for the two points G01 and G03, according to the adjusted <inline-formula><mml:math id="M189" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>g</mml:mi></mml:mrow></mml:math></inline-formula>
G01–G03 of the reference campaign. Then, we derived gravity values for each
point in our measurement network from the LSA. Now, instead of <inline-formula><mml:math id="M190" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>g</mml:mi></mml:mrow></mml:math></inline-formula>
between measurement points, the time-variable changes of gravity on individual
gravity points are considered. Mean gravity values, each over 1 year of
observation starting from the first campaign in March 2014, are displayed in
Fig. <xref ref-type="fig" rid="Ch1.F10"/> as bar charts per point. They are corrected for hydrology
using the changes in the gravity trends obtained from the hydrological
correction in Sect. <xref ref-type="sec" rid="Ch1.S3.SS4"/> for each gravity difference related to
the stable point G01. The results reveal areas of gravitational stability and
of significant gravity decrease over 4 years (Fig. <xref ref-type="fig" rid="Ch1.F10"/>). Two
patterns are discernible: (i) invariable points (G01, G03, G05, G06, G08,
G09) within the SD; (ii) continuous gravity decrease, which is obvious for
points G07, G11, and G12. Points G02, G04, and G10 show a gravity
increase that appears relative to the reference date (March 2014) in the first
year (brown bar) and then also ongoing gravity decrease – this could be an
effect of discrepancy between the mean of the first year and the reference
value from the first campaign, respectively. It is conspicuous that a gravity
decrease mainly is taking place within or very close to the known historical
sinkhole areas (see Fig. <xref ref-type="fig" rid="Ch1.F3"/>). Furthermore, it is apparent that the
gravity decrease on a single point (G<inline-formula><mml:math id="M191" display="inline"><mml:mrow><mml:mo>∗</mml:mo><mml:mo>∗</mml:mo></mml:mrow></mml:math></inline-formula>) and the time-variable <inline-formula><mml:math id="M192" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:mi>g</mml:mi></mml:mrow></mml:math></inline-formula> between stable point G01 and G<inline-formula><mml:math id="M193" display="inline"><mml:mrow><mml:mo>∗</mml:mo><mml:mo>∗</mml:mo></mml:mrow></mml:math></inline-formula> show similar results, which
is a matter of course.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F10" specific-use="star"><?xmltex \currentcnt{10}?><label>Figure 10</label><caption><p id="d1e3634">Temporal variations of mean gravity <inline-formula><mml:math id="M194" display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi>g</mml:mi><mml:mtext>mean</mml:mtext></mml:msub></mml:mrow></mml:math></inline-formula> over each
year of data, referenced to March 2014, on the points of the gravimetric
network (blue dots). The gravity values for each survey point are derived
from least squares adjustments assuming that G01 and G03 are stable over
time. The adjusted gravity differences are hydrologically corrected for soil
water content by applying an individual regression coefficient for each gravity
difference.</p></caption>
            <?xmltex \igopts{width=483.69685pt}?><graphic xlink:href="https://se.copernicus.org/articles/10/599/2019/se-10-599-2019-f10.png"/>

          </fig>

</sec>
</sec>
</sec>
<sec id="Ch1.S5">
  <label>5</label><title>Discussion</title>
      <p id="d1e3667">The approach presented here  combines repeated levelling and time-lapse
gravimetric surveys in a local measurement network in BF,
Thuringia, central Germany. The aim is to identify surface deformation and
mass transfer in the subsurface, in an area that is prone to subrosion, as
several features on the surface reveal. After 4 years (17 gravimetry and
18 levelling campaigns) of regular quarterly measurements, we have obtained
convincing and meaningful results, implications, and limits. Plausible
surface deformation (subsidence) and gravity changes (gravity decrease) were
detected in subrosion-prone areas of BF, which means mass<?pagebreak page611?> transport in the
subsurface. Although the temporal changes are small, i.e. a few <inline-formula><mml:math id="M195" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">Gal</mml:mi></mml:mrow></mml:math></inline-formula> in gravity over 4 years, the surveys and later data analysis were
realized at high effort to gain gravity observations with high precision.
This includes a suitable measurement concept and data analysis (LSA), error
estimation and propagation, and finally, a new, simple, but effective, method
applied for hydrological correction of gravity differences (Sect. <xref ref-type="sec" rid="Ch1.S3"/>). The results  discussed below  were achieved
in spite of challenging urban area conditions.</p>
      <p id="d1e3682"><italic>Levelling.</italic> Vertical deformation of several <inline-formula><mml:math id="M196" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">a</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> was
found around the historical sinkhole areas in the measurement network. The
deformation rates vary with time and strongly decrease for the campaigns in
2017, which was a rainy year. The origin of non-linear surface deformation in
BF is not well understood and requires continuous observation, further
research, and comparison with other data. The seasonal height variations due
to ground frost would be reduced by installing holes drilled below the depth
of frost and filled with longer steel piles than we did to mark levelling
points (Sect. <xref ref-type="sec" rid="Ch1.S3.SS1"/>).</p>
      <p id="d1e3706">The sources of subsidence in BF can be a combination of geogenic and
anthropogenic origin. Evidence of leaching of soluble rocks is the
occurrence of two natural brine sources inside of Quellgrund, which extract
approximately 250 <inline-formula><mml:math id="M197" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">t</mml:mi></mml:mrow></mml:math></inline-formula> of salt per day from the subsurface
(Sven Schmidt, TLUG, personal communication, 2017).
Thus, subrosion processes and the corresponding subsidence could be affected
by human activities due to water extraction. As another example, we found
extensive subsidence of 7.5–30.5 <inline-formula><mml:math id="M198" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">a</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> at three points
northwards of the leaning church tower of BF, including gravity point G07
(Fig. <xref ref-type="fig" rid="Ch1.F6"/>b). These subsidence rates are significantly higher than
those displayed by the levelling profiles in Fig. <xref ref-type="fig" rid="Ch1.F7"/>. In the church
area, several cavities were found at depths up to 100 <inline-formula><mml:math id="M199" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> through
several research core drillings (one of these was surveyed using
borehole-based ultrasonic sonar; see Sect. <xref ref-type="sec" rid="Ch1.S2"/>), which also
reveals evidence for underground leaching. Partially, the high subsidence
rates could be<?pagebreak page612?> affected by compaction loading due to intensive construction
and recultivation work, which were carried out northwards of the leaning
church tower between 2014 and 2016. The load of the northeastward sagging
tower itself has an effect on the subsidence rates in this area as well.
However, the ongoing subsidence seems to show slightly lower rates after the
reconstruction work ended.</p>
      <p id="d1e3749"><italic>Time-lapse gravity.</italic> Besides stable gravity differences in obviously
stable areas, several gravity differences and certain points in the network
have been detected to show significant gravity decrease of up to about
2 <inline-formula><mml:math id="M200" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">Gal</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">a</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> with SD of 1–2 <inline-formula><mml:math id="M201" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">Gal</mml:mi></mml:mrow></mml:math></inline-formula> over the whole
period of 4 years. This is an indication of local mass redistribution and
has been observed mainly in and close to known historical sinkhole areas,
which could be evidence for ongoing subrosion processes in the subsurface.
The order of gravity decrease of 1–2 <inline-formula><mml:math id="M202" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">Gal</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">a</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> is small
compared to the results of other studies that have investigated underground
mass transfer, e.g. greater two-digit <inline-formula><mml:math id="M203" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">Gal</mml:mi></mml:mrow></mml:math></inline-formula> range observed by
<xref ref-type="bibr" rid="bib1.bibx34" id="text.79"/> in a volcanic environment. However, the significance of the
results is given by the high precision level of our gravity results
(SD <inline-formula><mml:math id="M204" display="inline"><mml:mrow><mml:mo>≈</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M205" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">Gal</mml:mi></mml:mrow></mml:math></inline-formula>) after LSA and error propagation in our
local network, as shown in Sect. <xref ref-type="sec" rid="Ch1.S4.SS2"/> and Table <xref ref-type="table" rid="Ch1.T2"/>, and
by rather continuous rates of found gravity decrease. This has been proven to
be due to the use of a highly accurate instrumentation and its appropriate
use at measurement site conditions with a sophisticated concept of network
configuration and high number of observations, as well as the regular control
of their calibration stability. The SD level of the adjusted gravity
differences was improved by an extensive preprocessing for data quality
improvement and the high sophisticated application of LSA (e.g. drift
control, required corrections, and weighting of gravity meters; see
Sect. <xref ref-type="sec" rid="Ch1.S3.SS3"/>). Here, the accuracies of the gravity meters
indeed have an effect as the used combinations of instruments show
(Sect. <xref ref-type="sec" rid="Ch1.S3.SS2"/> and Table <xref ref-type="table" rid="Ch1.T2"/>). Hence, the data quality
was further increased by using exclusively the newer Scintrex CG5 and ZLS
Burris gravity meters, which achieve SD in the range of 3–4 <inline-formula><mml:math id="M206" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">Gal</mml:mi></mml:mrow></mml:math></inline-formula>
for one observed gravity difference.</p>
      <?pagebreak page613?><p id="d1e3858">We were able to emphasize and interpret subrosion-induced signals for several
gravity differences on several survey points by applying a first attempt of
correction for seasonal hydrological variations. We have used the global
GLDAS Noah model  to estimate the effect of a varying soil water content to
each single gravity difference in our monitoring network. A regression
coefficient for each gravity difference was determined and used to correct it
for local soil water content. The regression coefficient represents temporal
and spatial deviations in hydrology between two different measurement points,
dependent on their geological, topographical, and infrastructural conditions.
Although this correction works successfully, the remaining seasonal signals
suggest that groundwater has to be considered additionally and the global
soil water model may not be completely compatible for local studies. For
future and similar studies, we propose to test repeated in situ measurements
of the soil water content using ground-penetrating radar or nuclear magnetic
resonance, which is especially appropriate to determine local soil water
content within the vadose zone <xref ref-type="bibr" rid="bib1.bibx20" id="paren.80"/>. Both methods provide spatial
information for soil water distribution. In this context, time-domain
reflectometry in drill holes for point-specific 1-D profiles of water content
can only be a first approximation because of the heterogeneity of soils, and
furthermore drill holes are needed. Additionally, the remaining signal
contains groundwater changes. In particular, in 2015, where soil water had an
extreme minimum, the signals suggest further “mass loss”
(Fig. <xref ref-type="fig" rid="Ch1.F9"/>). Here, the gravity minimum also can hint at very low
groundwater levels and hydrological mass deficits in the aquifer layers.
Unfortunately, groundwater gauges are not available in the measurement area;
i.e. due to the lack of information about groundwater mechanisms, it is
currently not possible to make any assumption about the effect of groundwater
on the time-lapse gravity records and thus on the subrosion processes.
Therefore, groundwater recordings at high precision level or hydrological
models at best should be taken into account for future and similar studies.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F11"><?xmltex \currentcnt{11}?><label>Figure 11</label><caption><p id="d1e3868">Expected changes in gravity against density for a 1 <inline-formula><mml:math id="M207" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> thick
dissolved layer located beneath a survey point and at different depths, with
a spatial dimension of d<inline-formula><mml:math id="M208" display="inline"><mml:mrow><mml:mi>x</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M209" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>, d<inline-formula><mml:math id="M210" display="inline"><mml:mrow><mml:mi>y</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">10</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M211" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>, and
<?xmltex \hack{\mbox\bgroup}?>d<inline-formula><mml:math id="M212" display="inline"><mml:mrow><mml:mi>z</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math id="M213" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula><?xmltex \hack{\egroup}?>.</p></caption>
        <?xmltex \igopts{width=227.622047pt}?><graphic xlink:href="https://se.copernicus.org/articles/10/599/2019/se-10-599-2019-f11.png"/>

      </fig>

      <p id="d1e3949">An idea, in which way our results could be explained by underground mass
transfer, is given in Fig. <xref ref-type="fig" rid="Ch1.F11"/> as a simple approximation. The gravity
effect of a 1 <inline-formula><mml:math id="M214" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> thick layer of different densities with horizontal
dimensions of 10 <inline-formula><mml:math id="M215" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> in both the <inline-formula><mml:math id="M216" display="inline"><mml:mi>x</mml:mi></mml:math></inline-formula> and <inline-formula><mml:math id="M217" display="inline"><mml:mi>y</mml:mi></mml:math></inline-formula> directions, which is
located and centred beneath a single surface point, is displayed. For
example, a cavity similar to the one surveyed beneath the leaning church
tower (Sect. <xref ref-type="sec" rid="Ch1.S2"/>) would have to propagate for 1 <inline-formula><mml:math id="M218" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula>
towards Earth's surface, with a density of disappearing rocks of
2600 <inline-formula><mml:math id="M219" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">kg</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">m</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> (density measured by LIAG Hanover using drill cores
from the 458 <inline-formula><mml:math id="M220" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi></mml:mrow></mml:math></inline-formula> deep research drilling at the leaning church tower of
BF), to explain a gravity decrease of 6.5 <inline-formula><mml:math id="M221" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">Gal</mml:mi></mml:mrow></mml:math></inline-formula> (red curve). This
could fit to the found gravity decrease at gravity points G07 and G12
(Fig. <xref ref-type="fig" rid="Ch1.F9"/>), which are located very close
to the leaning church tower, after about 3–4 years. Erosion rates known from literature can vary
from 0.1 <inline-formula><mml:math id="M222" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">mm</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">a</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> for limestone <xref ref-type="bibr" rid="bib1.bibx101 bib1.bibx28" id="paren.81"/> to
0.5–1.0 <inline-formula><mml:math id="M223" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi><mml:mspace linebreak="nobreak" width="0.125em"/><mml:msup><mml:mi mathvariant="normal">a</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> for gypsum under favourable subrosion conditions
<xref ref-type="bibr" rid="bib1.bibx101" id="paren.82"/>. The erosion rates determined by the approximation of our
simple model are on the order of about 0.25 <inline-formula><mml:math id="M224" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">m</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">a</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula>. This fits to
favourable geological subrosion conditions in our measurement area, in which
the caprock mostly consists of anhydrite and gypsum. The erosion itself is
proven by several small cavities (Sect. <xref ref-type="sec" rid="Ch1.S2"/>). Also, it can
be discussed if the mass loss is only according to dissolution processes or
if, e.g. a roof collapse of a cavity, i.e. breccia, can result in larger
rate of mass loss. However, such estimations are indeed subject to the
principle of ambiguity in gravity investigations, which has to be considered
during interpretation. For an extensive modelling of subrosion processes
based on gravity data, very long gravity time series as well as a detailed
geological model of the study area are required, which is subject to future
work. In addition, and for similar studies, we propose to dense up the
measurement network for areas that are demonstrably not gravitationally
stable (in our case, around the leaning church tower) and thus to give up
few points in stable areas due to high measurement effort. Especially in
local studies, which investigate shallow structures, it is required to derive
detailed information about the spatial dimension of areas that are prone to
gravity decrease due to underground mass redistribution.</p>
</sec>
<sec id="Ch1.S6" sec-type="conclusions">
  <label>6</label><title>Conclusion and future work</title>
      <p id="d1e4100">In this study, we show the feasibility and the success of an approach that
combines levelling and time-lapse gravimetric surveys in the urban area of
Bad Frankenhausen in Germany, which is intensely prone to subrosion. We used
ground-based time-lapse gravimetry, which is a non-invasive and powerful
geophysical tool to monitor mass movements in the subsurface, and precise
levelling to investigate the accompanied subsidence. A total of 17 time-lapse
gravimetry and 18 levelling campaigns were carried out over 4 years in a
local combined network. Despite challenging measurement conditions and the
lack of permanent monitoring sites for environmental or hydrological
parameters, we identified subrosion-related signal content in our
measurements. To our knowledge, the presented field study is the first
long-term, high-resolution time-lapse gravity study in a subrosion-prone
area. Furthermore, it is the first attempt to quantify mass movements related
to underground leaching, as well as to correct time-lapse gravity records for
varying soil water content using a regression coefficient. The main results
and modifications for future work based on the findings can be summarized as
follows:
<list list-type="order"><list-item>
      <p id="d1e4105">Subsidence in Bad Frankenhausen, on the order of millimetres up
to several centimetres per year, is an ongoing process with possible non-linear
periods, which is evidence of ongoing leaching.</p></list-item><list-item>
      <p id="d1e4109">A significant gravity
decrease of 1–2 <inline-formula><mml:math id="M225" display="inline"><mml:mrow class="unit"><mml:mi mathvariant="normal">µ</mml:mi><mml:mi mathvariant="normal">Gal</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:msup><mml:mi mathvariant="normal">a</mml:mi><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> has been observed on several points,
which is additional evidence of subsurface mass relocation.</p></list-item><list-item>
      <p id="d1e4132">Survey
points should be stable with respect to seasonal elevation effects (ground
frost) and inner-city noise. Well suited are poured concrete pedestals for
time-lapse gravimetric surveys and drilled holes filled by steel piles for
levelling, both below frost depth.</p></list-item><list-item>
      <p id="d1e4136">Survey points should be connected to a superior reference system for stability control of the whole network and significant results.</p></list-item><list-item>
      <p id="d1e4140">Correction of gravity observations for varying soil water content using
the global GLDAS Noah model is an effective approach to reduce the seasonal
signal but requires further investigation. We propose in situ measurements
using ground-penetrating radar (GPR) or nuclear magnetic resonance (NMR). Additionally, we recommend monitoring of the groundwater
level.</p></list-item><list-item>
      <p id="d1e4144">If time-lapse gravity monitoring is conducted in areas of large
subsidence, a more precise determination of the vertical gravity gradient
should be considered to improve the correction of height changes in the
time-lapse gravity records. Even more, the vertical gravity gradient can be
considered as a separate parameter to be monitored. The second or even third
derivative of the gravity potential is more sensitive to near-surface density
variations, i.e. subrosion-induced mass changes <xref ref-type="bibr" rid="bib1.bibx23" id="paren.83"><named-content content-type="pre">e.g.</named-content></xref>.
However, a precise determination of the gradient requires much effort and is
of course also sensitive to near-surface hydrological mass variations.</p></list-item><list-item>
      <p id="d1e4153">For similar studies, we recommend to exclusively use highly precise
gravity meters (Scintrex CG5 or CG6, ZLS Burris) and observe gravity
differences at least three times each with three to four instruments in order
to improve the quality and validity of gravity differences significantly.</p></list-item><list-item>
      <p id="d1e4157">After 4 years of observation, it becomes possible to model or
quantify the amount of weakening of soluble layers by leaching or subsurface
cavity growth. However, longer time series, i.e. additional data acquisition,
are required to increase the resilience of the approach presented and to
detect non-linearities in gravity variations.</p></list-item><list-item>
      <p id="d1e4161">In support of point 8, due to ambiguity in gravimetry, determination of the spatial extent of local areas, in which gravity is changing, requires local densification of the measurement network.</p></list-item></list></p>
      <p id="d1e4164">Besides ongoing data acquisition, the next step is to create a geological
model of the study area based on close-mesh Bouguer anomalies, physical rock
parameters derived from other studies in this area <xref ref-type="bibr" rid="bib1.bibx97" id="paren.84"><named-content content-type="pre">e.g.</named-content></xref>,
and borehole measurements. On the basis of this model, we aim to identify
depth and thickness of potential sinkhole areas in BF and to investigate
additional structures which are not being resolved by our time-lapse
observations yet. The time-variable subrosion-induced mass transports will be
then investigated related to their depth and extent by adapting the
geological model for each survey period.</p>
      <p id="d1e4172">In the future and for similar studies, it is recommendable to focus on the
investigation of the role of hydrology and its parameters (e.g. flow
intensity, flow path, flow direction) for sinkhole development.</p>
</sec>

      
      </body>
    <back><notes notes-type="dataavailability"><title>Data availability</title>

      <p id="d1e4179">Geodetic–gravimetric data are property of LIAG Hanover and
will be used for further investigations and publications by the authors.
The data are available from the authors upon request. Please
contact the first author for details. The specific soil water GLDAS
Noah  model used here  is provided by <xref ref-type="bibr" rid="bib1.bibx5" id="text.85"/>.</p>
  </notes><notes notes-type="authorcontribution"><title>Author contributions</title>

      <p id="d1e4188">MK analysed the gravity data, developed software (pre-processing,
hydrological correction), produced figures, and wrote the paper. GG developed
the overall scientific concept of the project and established the
monitoring network. AW and MK developed the new hydrological correction
concept. DV performed the processing and validation of levelling data. All
authors contributed to the fieldwork, the scientific discussion and
interpretation, and reviewing and editing the paper.</p>
  </notes><notes notes-type="competinginterests"><title>Competing interests</title>

      <p id="d1e4194">The authors declare that they have no conflict of
interest.</p>
  </notes><ack><title>Acknowledgements</title><p id="d1e4200">Sincere thanks are given to the technical staff of LIAG Hanover for extensive
measurement work despite difficult weather circumstances: Jan
Bergmann-Barrocas, Jan Bayerle, Dieter Eppig, Eckhardt Großmann, Norman
Krause, Sven Wedig, and Erwin Wagner. Furthermore, we thank Ludger Timmen and
the University of Hanover, Germany, for the frequent loan of a Scintrex CG3
gravity meter. We appreciate David Tanner for his advice and help with
improving the manuscript as well as the English grammar and spelling. We
acknowledge the valuable reviews of the reviewers, Carla Braitenberg and Lev
Eppelbaum, that have contributed to the improvement of this article.</p><p id="d1e4202">The work is part of the project SIMULTAN, funded by the Federal Ministry for
Education and Research (BMBF, grant no. 03G0843A), which is gratefully
acknowledged.</p></ack><notes notes-type="reviewstatement"><title>Review statement</title>

      <p id="d1e4207">This paper was edited by Ulrike Werban and reviewed by Carla
Braitenberg and Lev Eppelbaum.</p>
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    <!--<article-title-html>Time-lapse gravity and levelling surveys reveal mass loss and ongoing subsidence in the urban subrosion-prone area  of Bad Frankenhausen, Germany</article-title-html>
<abstract-html><p>We present results of
sophisticated, high-precision time-lapse gravity monitoring that was
conducted over 4 years in Bad Frankenhausen (Germany). To our knowledge, this
is the first successful attempt to monitor subrosion-induced mass changes in
urban areas with repeated gravimetry. The method provides an approach to
estimate the mass of dissolved rocks in the subsurface.</p><p>Subrosion, i.e. leaching and transfer of soluble rocks, occurs worldwide.
Mainly in urban areas, any resulting ground subsidence can cause severe
damage, especially if catastrophic events, i.e. collapse sinkholes, occur.
Monitoring strategies typically make use of established geodetic methods,
such as levelling, and therefore focus on the associated deformation
processes.</p><p>In this study, we combine levelling and highly precise time-lapse gravity
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subsidence and sinkhole features on the surface reveal. The city and the
surrounding areas are underlain by soluble Permian deposits, which are
continuously dissolved by meteoric water and groundwater in a strongly
fractured environment. Between 2014 and 2018, a total of 17 high-precision
time-lapse gravimetry and 18 levelling campaigns were carried out in
quarterly intervals within a local monitoring network. This network covers
historical sinkhole areas but also areas that are considered to be stable.
Our results reveal ongoing subsidence of up to 30.4&thinsp;mm a<sup>−1</sup>
locally, with distinct spatiotemporal variations. Furthermore, we observe a
significant time-variable gravity decrease on the order of 8&thinsp;µGal
over 4 years at several measurement points.</p><p>In the processing workflow, after the application of all required corrections
and least squares adjustment to our gravity observations, a significant
effect of varying soil water content on the adjusted gravity differences was
figured out. Therefore, we place special focus on the correlation of these
observations and the correction of the adjusted gravity differences for soil
water variations using the Global Land Data Assimilation System (GLDAS) Noah model to separate
these effects from subrosion-induced gravity changes.</p><p>Our investigations demonstrate the feasibility of high-precision time-lapse
gravity monitoring in urban areas for sinkhole investigations. Although the
observed rates of gravity decrease of
1–2&thinsp;µGal a<sup>−1</sup> are small, we suggest that it is significantly
associated with subterranean mass loss due to subrosion processes. We discuss
limitations and implications of our approach, as well as give a first
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