Articles | Volume 10, issue 1
https://doi.org/10.5194/se-10-27-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/se-10-27-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A semi-automated algorithm to quantify scarp morphology (SPARTA): application to normal faults in southern Malawi
School of Earth and Ocean Sciences, Cardiff University, Cardiff, UK
Centre for Observation and Modelling of Earthquakes, Volcanoes and
Tectonics (COMET), Leeds, UK
Juliet Biggs
School of Earth Sciences, University of Bristol, Bristol, UK
Centre for Observation and Modelling of Earthquakes, Volcanoes and
Tectonics (COMET), Leeds, UK
Åke Fagereng
School of Earth and Ocean Sciences, Cardiff University, Cardiff, UK
Centre for Observation and Modelling of Earthquakes, Volcanoes and
Tectonics (COMET), Leeds, UK
Austin Elliott
Department of Earth Sciences, University of Oxford, Oxford, UK
Centre for Observation and Modelling of Earthquakes, Volcanoes and
Tectonics (COMET), Leeds, UK
Hassan Mdala
Geological Survey Department, Mzuzu Regional Office, Mzuzu, Malawi
Felix Mphepo
Geological Survey Department, Mzuzu Regional Office, Mzuzu, Malawi
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Cited
21 citations as recorded by crossref.
- Active Fault Scarps in Southern Malawi and Their Implications for the Distribution of Strain in Incipient Continental Rifts L. Wedmore et al. 10.1029/2019TC005834
- Quantifying the Pabu Normal Fault Scarp, Southern Tibetan Plateau: Insights into Regional Earthquake Risk G. Ha & F. Liu 10.3390/rs16183473
- Earth Observation for Crustal Tectonics and Earthquake Hazards J. Elliott et al. 10.1007/s10712-020-09608-2
- 36Cl exposure dating of glacial features to constrain the slip rate along the Mt. Vettore Fault (Central Apennines, Italy) L. Pousse-Beltran et al. 10.1016/j.geomorph.2022.108302
- Short communication: A semiautomated method for bulk fault slip analysis from topographic scarp profiles F. Wolfe et al. 10.5194/esurf-8-211-2020
- Mid‐Pleistocene to Recent Crustal Extension in the Inner Graben of the Northern Kenya Rift S. Riedl et al. 10.1029/2021GC010123
- Comparing Slip Distribution of an Active Fault System at Various Timescales: Insights for the Evolution of the Mt. Vettore‐Mt. Bove Fault System in Central Apennines I. Puliti et al. 10.1029/2020TC006200
- Semiautomatic Algorithm to Map Tectonic Faults and Measure Scarp Height from Topography Applied to the Volcanic Tablelands and the Hurricane Fault, Western US C. Scott et al. 10.2113/2021/9031662
- Under-Displaced Normal Faults: Strain Accommodation Along an Early-Stage Rift-Bounding Fault in the Southern Malawi Rift O. Ojo et al. 10.3389/feart.2022.846389
- The Luangwa Rift Active Fault Database and fault reactivation along the southwestern branch of the East African Rift L. Wedmore et al. 10.5194/se-13-1731-2022
- Structural inheritance and border fault reactivation during active early-stage rifting along the Thyolo fault, Malawi L. Wedmore et al. 10.1016/j.jsg.2020.104097
- The Malawi Active Fault Database: An Onshore‐Offshore Database for Regional Assessment of Seismic Hazard and Tectonic Evolution J. Williams et al. 10.1029/2022GC010425
- A systems-based approach to parameterise seismic hazard in regions with little historical or instrumental seismicity: active fault and seismogenic source databases for southern Malawi J. Williams et al. 10.5194/se-12-187-2021
- Evidence From High‐Resolution Topography for Multiple Earthquakes on High Slip‐to‐Length Fault Scarps: The Bilila‐Mtakataka Fault, Malawi M. Hodge et al. 10.1029/2019TC005933
- Comparing intrarift and border fault structure in the Malawi Rift: Implications for normal fault growth M. Carpenter et al. 10.1016/j.jsg.2022.104761
- The Entire Crust can be Seismogenic: Evidence from Southern Malawi V. Stevens et al. 10.1029/2020TC006654
- Geologic and geodetic constraints on the magnitude and frequency of earthquakes along Malawi's active faults: the Malawi Seismogenic Source Model (MSSM) J. Williams et al. 10.5194/nhess-22-3607-2022
- Mapping fault geomorphology with drone-based lidar G. Salomon et al. 10.26443/seismica.v3i1.1186
- Fault-based probabilistic seismic hazard analysis in regions with low strain rates and a thick seismogenic layer: a case study from Malawi J. Williams et al. 10.1093/gji/ggad060
- How Do Variably Striking Faults Reactivate During Rifting? Insights From Southern Malawi J. Williams et al. 10.1029/2019GC008219
- Use of small unmanned aerial vehicle (sUAV)-acquired topography for identifying and characterizing active normal faults along the Seerteng Shan, North China G. Rao et al. 10.1016/j.geomorph.2020.107168
21 citations as recorded by crossref.
- Active Fault Scarps in Southern Malawi and Their Implications for the Distribution of Strain in Incipient Continental Rifts L. Wedmore et al. 10.1029/2019TC005834
- Quantifying the Pabu Normal Fault Scarp, Southern Tibetan Plateau: Insights into Regional Earthquake Risk G. Ha & F. Liu 10.3390/rs16183473
- Earth Observation for Crustal Tectonics and Earthquake Hazards J. Elliott et al. 10.1007/s10712-020-09608-2
- 36Cl exposure dating of glacial features to constrain the slip rate along the Mt. Vettore Fault (Central Apennines, Italy) L. Pousse-Beltran et al. 10.1016/j.geomorph.2022.108302
- Short communication: A semiautomated method for bulk fault slip analysis from topographic scarp profiles F. Wolfe et al. 10.5194/esurf-8-211-2020
- Mid‐Pleistocene to Recent Crustal Extension in the Inner Graben of the Northern Kenya Rift S. Riedl et al. 10.1029/2021GC010123
- Comparing Slip Distribution of an Active Fault System at Various Timescales: Insights for the Evolution of the Mt. Vettore‐Mt. Bove Fault System in Central Apennines I. Puliti et al. 10.1029/2020TC006200
- Semiautomatic Algorithm to Map Tectonic Faults and Measure Scarp Height from Topography Applied to the Volcanic Tablelands and the Hurricane Fault, Western US C. Scott et al. 10.2113/2021/9031662
- Under-Displaced Normal Faults: Strain Accommodation Along an Early-Stage Rift-Bounding Fault in the Southern Malawi Rift O. Ojo et al. 10.3389/feart.2022.846389
- The Luangwa Rift Active Fault Database and fault reactivation along the southwestern branch of the East African Rift L. Wedmore et al. 10.5194/se-13-1731-2022
- Structural inheritance and border fault reactivation during active early-stage rifting along the Thyolo fault, Malawi L. Wedmore et al. 10.1016/j.jsg.2020.104097
- The Malawi Active Fault Database: An Onshore‐Offshore Database for Regional Assessment of Seismic Hazard and Tectonic Evolution J. Williams et al. 10.1029/2022GC010425
- A systems-based approach to parameterise seismic hazard in regions with little historical or instrumental seismicity: active fault and seismogenic source databases for southern Malawi J. Williams et al. 10.5194/se-12-187-2021
- Evidence From High‐Resolution Topography for Multiple Earthquakes on High Slip‐to‐Length Fault Scarps: The Bilila‐Mtakataka Fault, Malawi M. Hodge et al. 10.1029/2019TC005933
- Comparing intrarift and border fault structure in the Malawi Rift: Implications for normal fault growth M. Carpenter et al. 10.1016/j.jsg.2022.104761
- The Entire Crust can be Seismogenic: Evidence from Southern Malawi V. Stevens et al. 10.1029/2020TC006654
- Geologic and geodetic constraints on the magnitude and frequency of earthquakes along Malawi's active faults: the Malawi Seismogenic Source Model (MSSM) J. Williams et al. 10.5194/nhess-22-3607-2022
- Mapping fault geomorphology with drone-based lidar G. Salomon et al. 10.26443/seismica.v3i1.1186
- Fault-based probabilistic seismic hazard analysis in regions with low strain rates and a thick seismogenic layer: a case study from Malawi J. Williams et al. 10.1093/gji/ggad060
- How Do Variably Striking Faults Reactivate During Rifting? Insights From Southern Malawi J. Williams et al. 10.1029/2019GC008219
- Use of small unmanned aerial vehicle (sUAV)-acquired topography for identifying and characterizing active normal faults along the Seerteng Shan, North China G. Rao et al. 10.1016/j.geomorph.2020.107168
Discussed (final revised paper)
Discussed (preprint)
Latest update: 03 Nov 2024
Short summary
This work attempts to create a semi-automated algorithm (called SPARTA) to calculate height, width and slope of surface breaks produced by earthquakes on faults. We developed the Python algorithm using synthetic catalogues, which can include noise features such as vegetation, hills and ditches, which mimic natural environments. We then apply the algorithm to four fault scarps in southern Malawi, at the southern end of the East African Rift system, to understand their earthquake potential.
This work attempts to create a semi-automated algorithm (called SPARTA) to calculate height,...