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Rock Mechanics Bulletin 2024年第4期3卷 15-33页

作者： Rongjie He Wengang Zhang Jie Dou Nan Jiang Huaixian Xiao Jiawen Zhou State Key Laboratory of Hydraulics and Mountain River Engineering Sichuan UniversityChengdu610065China School of Civil Engineering Chongqing UniversityChongqing400044China Badong National Observation and Research Station of Geohazards China University of GeosciencesWuhan430074China College of Water Resources and Hydropower Sichuan UniversityChengdu610065China

Landslides are one of the geological disasters with wide distribution,high impact and serious damage around the *** risk assessment can help us know the risk of landslides occurring,which is an effective way to prevent landslide disasters in *** recent decades,artificial intelligence(AI)has developed rapidly and has been used in a wide range of applications,especially for natural *** on the published literatures,this paper presents a detailed review of AI applications in landslide risk *** key areas where the application of AI is prominent are identified,including landslide detection,landslide susceptibility assessment,and prediction of landslide *** learning(ML)containing deep learning(DL)has emerged as the primary technology which has been considered successfully due to its ability to quantify complex nonlinear relationships of soil structures and landslide predisposing *** the algorithms,convolutional neural networks(CNNs)and recurrent neural networks(RNNs)are two models that are most widely used with satisfactory results in landslide risk *** generalization ability,sampling training strategies,and hyperparameters optimization of these models are crucial and should be carefully *** challenges and opportunities of AI applications are also fully discussed to provide suggestions for future research in landslide risk assessment.

关键词： Landslides Artificial intelligence Machine learning detection and mapping Landslide susceptibility Prediction and warning

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