Recent  

Fractures tend to dominate the mechanical and hydraulic properties of porous rock and impact the scattering characteristics of passing waves. This study takes into account the poroelastic effects of fractures in numerical modeling. Our results demonstrate that scattered waves from complex fracture systems are strongly affected by the fractures.

Here we introduce a new approach for analysing time-resolved 3D X-ray images tracking mineral changes in rocks. Using deep learning, we accurately identify and quantify the evolution of mineral components during reactions. The method demonstrates high precision in quantifying a metamorphic reaction, enabling accurate calculation of mineral growth rates and porosity changes. This showcases artificial intelligence's potential to enhance our understanding of Earth science processes.

Geothermal heat flow influences ice sheet dynamics, making its investigation important for ice-covered regions. Here we evaluate the sparse measurements for their agreement with regional solid Earth models, as well as with a statistical approach. This shows that some points should be excluded from regional studies. In particular, the NGRIP point, which strongly influences heat flow maps and the distribution of high basal melts, should be statistically considered an outlier.

We investigate the extensional fault geometry and its evolution during the stretching and thinning of continental crust and lithosphere leading to continental breakup. We focus on the fault-controlled processes that thin and rupture the final 10 km of continental crust at magma-poor margins prior to mantle exhumation. We show that isostatic fault rotation in response to extension is fundamental to understanding the formation of tectonic structures observed on seismic reflection data.

We present a numerical model for lahars generated by the mobilization of tephra deposits from a reference size eruption at Somma–Vesuvius. The paper presents the model (pyhsics and numerics) and a sensitivity analysis of the processes modelled, numerical schemes, and grid resolution. This work provides the basis for application to hazard quantification for lahars in the Vesuvius area. To this end, we rely on results of the two companion papers (Part 1 on field data, Part 3 on hazard maps).

We study the lahar hazard due to the remobilization of tephra deposits from reference eruptions at Somma–Vesuvius. To this end, we rely on the results of two companion papers dealing with field data and model calibration and run hundreds of simulations from the catchments around the target area to capture the uncertainty in the initial parameters. We process the simulations to draw maps of the probability of overcoming thresholds in lahar flow thickness and dynamic pressure relevant for risk.

We study the distribution of two historical pyroclastic fall–flow and lahar deposits from the sub-Plinian Vesuvius eruptions of 472 CE Pollena and 1631. The motivation comes directly from the widely distributed impact that both the eruptions and lahar phenomena had on the Campanian territory, not only around the volcano but also down the nearby Apennine valleys. Data on about 500 stratigraphic sections and modeling allowed us to evaluate the physical and dynamical impact of these phenomena.

Uplift rates up to 40 mm yr⁻¹ are measured by GNSS in the southern Patagonian Icefield, a remainder of the Patagonian Ice Sheet that covered the Andes in the Last Glacial Maximum (LGM) at 26 ka. Using numerical modelling, we estimate an increase of 150 to 200 °C of the asthenospheric temperature due to the slab window under southern Patagonia, and we show that post-glacial rebound, after the long-term LGM and the short-term Little Ice Age (400 a), contributed to the modern uplift rate budget.

Most surface-wave techniques focus on estimating the S-wave velocity (VS) model and consider the P-wave velocity (VP) model as prior information in the inversion step. Here, we show the application of three surface-wave methods to estimate both VS and VP models. We apply the methods to the data from a hard-rock site that were acquired through the irregular source–receiver recording technique. We compare the outcomes and performances of the methods in detail.

In this study, the permeability of a natural fracture in sandstone is estimated based only on its geometry. For this purpose, the topological method of persistent homology is applied to three geometric data sets with different resolutions for the first time. The results of all data sets compare well with conventional experimental and numerical methods. Since the analysis takes less time to the same amount of time, it seems to be a good alternative to conventional methods.

This study explores the erosion and exhumation processes and history of early continental crust hidden within the Amazonian Rainforest. This crust forms part of the Amazonian Craton, an ancient continental fragment. Our surprising findings reveal the area underwent rapid early Cretaceous exhumation triggered by tectonic forces. This discovery challenges the traditional perception that cratons are stable and long-lived entities and shows they can deform readily under specific geological contexts.