Results 61 to 70 of about 68,038 (299)
Deep Underground Science and Engineering, EarlyView.The fused data extracted from the distributed monitoring system as the data basis, combined with dynamic geological data, are imported into a deep learning model. As the geological conditions of mining and excavation change, the risk of water inrush at the working face is retrieved in real time.
Yongjie Li +4 more
wiley +1 more source
Liquefaction characteristics and damage evolution of rapid and long-traveling landslides
Journal of Rock Mechanics and Geotechnical EngineeringRapid and long-traveling landslides can often pose severe threats to life and property due to their high velocities and large scales. Therefore, it is crucial to conduct further investigations into the causes of such landslides.
Wengang Zhang +7 more
doaj +1 more source
Landslide Topography of the Sumikawa Landslide
Landslides, 1998 A landslide occurred at Sumikawa hot-spa in Kazuno City, Akita Prefecture on May 11, 1997. The landslide destroyed 9 houses of Sumikawa hotspa and the debris avalanche changed from landslide hit Akakawa hotspa and national road No.341. Since the Kazuno city office issued the refuge advice, the human damage was not generated.This study based on field ...
openaire +1 more source
Deep Underground Science and Engineering, EarlyView.This study proposes an exponentially‐constrained Gaussian mixture model (EcGMM) to quantify vertical fracture heterogeneity in stratified roof strata. The model integrates a piecewise exponential decay term capturing global stress dissipation with Gaussian components representing localized fracture intensification at lithological interfaces.
Huiqing Yuan +5 more
wiley +1 more source
Landslides in Arizona: Just the facts
, 2017 Landslides hazards are common in mountainous areas of the Southwest and include fast-moving debris flows, large slow moving landslides, and other ground- failure related hazards.
Conway, F.M.
core +5 more sources
Utilizing crowdsourcing to enhance the mitigation and management of landslides
, 2018 Landslides are mainly triggered by earthquakes and rainfall and have poor temporal predictability. Landslides pose significant threats to settlements and infrastructure in mountainous regions around the world.
Cui, Yifei +2 more
core +1 more source
Directionality Scaling of Scalar and Vector Ground Motion Intensity Measures
Earthquake Engineering &Structural Dynamics, EarlyView.ABSTRACT The azimuthal directionality of earthquake ground‐motion intensity measures (IMs) is conventionally described by the ratios between the orientation‐independent maximum (RotD100) and median (RotD50) values over the horizontal plane. This study presents a refined characterization of the directionality of 31 IMs, including spectral accelerations (
Mao‐Xin Wang, Gang Wang
wiley +1 more source
Geological Journal, EarlyView.This work advances landslide susceptibility mapping by incorporating short‐term trigger data with landscape susceptibility mapping. We also examine the importance of downsampling, watershed delineation and geospatial correlations in evaluating outcomes.
Kanta Kotsugi +3 more
wiley +1 more source
Spatio-temporal pattern distribution of landslides causing damage in Switzerland
, 2019 Switzerland is a hazard-prone country at risk of floods, snow and ice avalanches, debris flows, landslides, and rockfalls. The Federal Institute for Forest, Snow and Landscape Research WSL estimated that more than 6% of the entire territory is exposed to
Tonini, Marj, Cama, Mariaelena
core +1 more source
International Journal of Climatology, EarlyView.During the period 1901–2024, the dominant proportion of compound dry‐warm extremes in annual, June–July–August (JJA), and December–January–February (DJF) occurrences was the highest among the four types of compound precipitation and temperature extremes across global land areas, accounting for 40.1%, 50.3%, and 28.0%, respectively.
Ruting Yang +6 more
wiley +1 more source