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Space-time modeling of rainfall-induced landslides via Physics-Informed Neural Networks: Moving toward a new paradigm for regional early warnings
Fanshu Xu, Qiang Xu, Luigi Lombardo, Chuanhao Pu, Ashok Dahal
Chengdu University of Technology State Key Laboratory of Geohazard Prevention and Geoenvironment Protection International Institute for Geo-Information Science and Earth Observation University of Twente
来源Engineering Geology
年份2026
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物理Landslides and related hazards
Geotechnical Engineering and Analysis · Soil erosion and sediment transport
参考文献 42
Rainfall intensity–duration conditions for mass movements in Taiwan
被引 87Chi-Wen Chen, Hitoshi Saitô, Takashi Oguchi · Progress in Earth and Planetary Science · 2015
Development of a China Dataset of Soil Hydraulic Parameters Using Pedotransfer Functions for Land Surface Modeling
被引 329Yongjiu Dai, Wei Shangguan, Qingyun Duan · Journal of Hydrometeorology · 2013
The rainfall intensity–duration control of shallow landslides and debris flows: an update
被引 1,547Fausto Guzzetti, Silvia Peruccacci, Mauro Rossi · Landslides · 2007
此处列出前 3 条
引用本文 1
Meteoclimatic drivers of rock mass plasticity before failures: Insights from an artificial neural network trained on monitoring data and weather forecasts
被引 0Gian Marco Marmoni, Lorenzo Palombi, Matteo Fiorucci · Journal of Rock Mechanics and Geotechnical Engineering · 2026
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