Results 21 to 30 of about 125 (107)
Abstract Coastal zones need further investigations of beach dune erosion to improve storm‐surge protection measures in light of climate change. This study presents a hybrid approach investigating the influence of coastal foredunes on storm‐induced secondary dune erosion.
Constantin Schweiger +5 more
wiley +1 more source
Abstract Rock glacier kinematics are indicators of alpine climate change, yet the relative influence of thermal and hydrological processes on their motion remains poorly constrained. This uncertainty limits our ability to predict how these permafrost landforms will respond to ongoing climate change.
Qingyu Sui +11 more
wiley +1 more source
Abstract Volcanic debris avalanches can transform into highly mobile debris flows, reaching long runout distances and posing significant hazards to downstream populations. This high mobility arises from complex, evolving rheological behavior driven by dynamic changes in pore pressure, internal resistance, and material properties during the flow.
Juliette Vicente, Stuart Mead
wiley +1 more source
Physical Modeling of Subaerial Granular Landslide‐Induced Tsunami Waves
Abstract Investigating tsunamigenic landslides via physical experiments is important to increase the understanding of these often devastating events for improving disaster prevention. Landslide masses often consist of granular material, which usually is characterized by non‐uniform grain size distributions, irregular shape and pronounced surface ...
Christine Bleidorn +2 more
wiley +1 more source
ABSTRACT Aim The glomerulus is a specialized microvascular unit that filters plasma through the coordinated function of podocytes and parietal epithelial cells (PECs). From this perspective, the glomerulus functions like a living hydrogeological filtration system.
Maria Elena Melica +3 more
wiley +1 more source
Forecasting the Rate of Induced Seismicity as a Neural Temporal Point Process
Abstract Forecasting is an essential part of risk mitigation, where the mitigation efficacy depends strongly on the quality of forecasts. We explore the neural temporal point process as a deep learning framework to forecast induced earthquakes. We train our deep learning model using numerous enhanced geothermal systems and hydraulic fracturing test ...
Ryan Schultz, Stefan Wiemer
wiley +1 more source
Inelastic Dilatancy as a Mechanism for Coseismic Fluid Depressurization of a Shallow Fault Zone
Abstract Hydrologic observations and experimental studies indicate that inelastic dilation from coseismic fault damage can cause substantial pore pressure reduction, yet most near‐fault hydromechanical models ignore such inelastic effects. Here, we present a 3‐D groundwater flow model incorporating the effects of inelastic dilation based on an ...
Ruei‐Jiun Hung +3 more
wiley +1 more source
Assessing pavement sustainability requires jointly evaluating structural performance and environmental impacts, yet these dimensions are often analyzed separately. This study proposes an integrated framework combining mechanistic–empirical pavement design and life cycle assessment (LCA) to quantify the structural–environmental trade‐off associated with
Alexandre Simas de Medeiros +3 more
wiley +1 more source
Mutual interference and different excavation speeds during the construction of twin‐tube tunnel have intensified the complexity of groundwater seepage field damage, while the small‐interval tunnel has more complex evolution characteristics than traditional twin‐tube tunnel due to its small distance between the double holes, which poses greater ...
Kunping Chen +6 more
wiley +1 more source
This study focuses on the stability of surrounding rock (SR) in underground cavities of China’s western high‐stress regions, using the tailwater pressure–regulating chamber of a hydropower station on the lower Jinsha River as the case. Models with and without bolts are established for excavation simulation.
Hai-Ping Ma +3 more
wiley +1 more source

