Results 141 to 150 of about 9,820,128 (159)

Predicting Shallow Rainfall-Induced Landslides in eThekwini Metropol, South Africa: Utilising the TRIGRS Model

Engineering Geology and Geotechnics: Building for the Future, Proceedings of the Conference EUROENGEO 2024
Rainfall-induced landslides pose a significant threat to life and property in the eThekwini Metropolitan Municipality (eThekwini Metropol) of KwaZulu-Natal, South Africa. The devastating 2022 event, resulting in hundreds of fatalities and billions of Rand in damages, underscores the critical need for improved prediction capabilities.
Sibonakaliso Goodman Chiliza, Molla Demlie, Egerton Hingston   +2 more
openaire   +1 more source

Spatio-Temporal Prediction of Three-Dimensional Stability of Highway Shallow Landslide in Southeast Tibet Based on TRIGRS and Scoops3D Coupling Model

Water (Switzerland)
National Highway G559 is the first highway in Southeast Tibet into Motuo County, which has not only greatly improved the difficult situation of local roads, but also promoted the economic development of Tibet. However, rainfall-induced shallow landslides occur frequently along the Bomi–Motuo section, which seriously affects the safe operation and ...
Liyun Jia, Wang Haojie
exaly   +2 more sources

Effects of Drainage Network on the Identification of Landslide-Susceptible Areas Using the TRIGRS Model

Gravitational mass movements are recurrent events in Brazil, usually triggered by intense rainfall. When such rainfall events occur in urban areas, particularly on slopes, they often result in disasters, causing loss of human lives, social impacts, and economic damage. Thus, mapping and monitoring landslide susceptible areas are extremely important, as
Marcio Augusto Ernesto de Moraes, Rodolfo M. Mendes, Cassiano Antonio Bortolozo, Daniel Metodiev, Maria das Dores S. Medeiros, Márcio R. M. Andrade, Tatiana S. G. Mendes, Roberto Q. Coutinho   +7 more
openaire   +1 more source

Regional-scale back-analysis using TRIGRS: an approach to advance landslide hazard modeling and prediction in sparse data regions

Landslides, 2018
Landslides in Kerala, India, have been shown to be preceded not only by critical rainfall over a short period but also a much longer period of elevated pore pressure. Such rainfall-triggered landslides are difficult to monitor due to a lack of adequate data on the locations of failures and precipitation.
Luke Weidner, Thomas Oommen, Rüdiger Escobar-Wolf, K. S. Sajinkumar, Rinu A. Samuel   +4 more
openaire   +1 more source

Incorporation of Unsaturated Soil Properties in the Prediction of Rainfall Induced Landslides Using TRIGRS and Scoops3D Models

Geo-Congress 2023, 2023
A. Musaib, P. V. Divya
openaire   +1 more source

Landslide Susceptibility Analysis by Applying TRIGRS to a Reliable Geotechnical Slope Model

Geosciences (Switzerland), 2022
Vito Foresta, Mariantonietta Ciurleo, Maria Clorinda Mandaglio   +2 more
exaly  

A GIS-Based Tool for Probabilistic Physical Modelling and Prediction of Landslides: Improved GIS-TRIGRS-FORM Landslide Prediction

Geo-Risk 2023, 2023
Jian Ji, Hongzhi Cui
openaire   +1 more source

Evaluation of shallow landslide susceptibility and Factor of Safety variation using the TRIGRS model, Serra do Mar Mountain Range, Brazil

Journal of South American Earth Sciences, 2021
Fabrizio Listo, Maria Carolina Villaça Gomes, Fabiana Souza Ferreira   +2 more
exaly  

Landslide susceptibility mapping using the infinite slope, SHALSTAB, SINMAP, and TRIGRS models in Serra do Mar, Brazil

Journal of Mountain Science, 2022
Thiago Machado do Pinho, Oswaldo Augusto Filho   +1 more
openaire   +1 more source

Analysis of occurrence potential of the earth/debris flow and shallow landslides using the TRIGRS model (Case study: babolrood Basin, Mazandaran)

Journal of Spatial Analysis Environmental Hazards, 2023
Ali Abdinezhad, Mojtaba Yamani, Jafar Hassanpour, Abolghasem Goorabi, Mostafa Karimi AhmadAbad   +4 more
openaire   +1 more source