Forecasting landslide deformation by integrating domain knowledge into interpretable deep learning considering spatiotemporal correlations  

作　　者：Zhengjing Ma Gang Mei 

机构地区：[1]School of Engineering and Technology,China University of Geosciences(Beijing),Beijing,100083,China

出　　处：《Journal of Rock Mechanics and Geotechnical Engineering》2025年第2期960-982,共23页岩石力学与岩土工程学报(英文)

基　　金：supported by the Postdoctoral Fellowship Program of CPSF(Grant No.GZB20230685);the National Science Foundation of China(Grant No.42277161).

摘　　要：Forecasting landslide deformation is challenging due to influence of various internal and external factors on the occurrence of systemic and localized heterogeneities.Despite the potential to improve landslide predictability,deep learning has yet to be sufficiently explored for complex deformation patterns associated with landslides and is inherently opaque.Herein,we developed a holistic landslide deformation forecasting method that considers spatiotemporal correlations of landslide deformation by integrating domain knowledge into interpretable deep learning.By spatially capturing the interconnections between multiple deformations from different observation points,our method contributes to the understanding and forecasting of landslide systematic behavior.By integrating specific domain knowledge relevant to each observation point and merging internal properties with external variables,the local heterogeneity is considered in our method,identifying deformation temporal patterns in different landslide zones.Case studies involving reservoir-induced landslides and creeping landslides demonstrated that our approach(1)enhances the accuracy of landslide deformation forecasting,(2)identifies significant contributing factors and their influence on spatiotemporal deformation characteristics,and(3)demonstrates how identifying these factors and patterns facilitates landslide forecasting.Our research offers a promising and pragmatic pathway toward a deeper understanding and forecasting of complex landslide behaviors.

关 键 词：GEOHAZARDS Landslide deformation forecasting Landslide predictability Knowledge infused deep learning interpretable machine learning Attention mechanism Transformer 

分 类 号：P64[天文地球—地质矿产勘探]