北京师范大学学报（自然科学版）2025，Vol.61Issue(2)：255-267,13.DOI:10.12202/j.0476-0301.2024227
黄土塬地貌区滑坡灾害易发性量化评估及关键驱动因子
Quantitative assessment of landslide hazard susceptibility and key driving factors in loess plateau geomorphologic area
摘要
Abstract
Landslide has always been an important issue in engineering geology;most studies focus on landslide disasters in mountainous areas,few studies focus on landslide disasters in the loess plateau area.Loess plateau,an important geographic unit in northern China,has special geological structures,under certain climatic conditions often leads to landslides,mudslides and other disasters,causing great disasters and property losses.In this paper,landslide disaster in loess plateau geomorphology area is studied,to establish a comprehensive quantitative evaluation system for landslide susceptibility by comprehensively considering factors of topography and geomorphology,hydrology,soil and other factors.LightGBM is used to simulate landslide susceptibility of loess plateau.Five indicators are selected to evaluate prediction performance and robustness.SHAP algorithm is used to analyze influence oftriggering factors on the simulation results,with mechanism of landslide susceptibility in loess plateau geomorphologic area revealed.LightGBM model could simulate and predict susceptibility of landslides in loess plateau rather well(AUC=0.844).SHAP algorithm identifies key driving factors:distance from road,annual average rainfall,degree of topographic undulation,density of population,depth of ground surface cutting,length of slope.Landslide susceptibility in the study area has been mapped.A risk map was drawn.This work provides solid theoretical basis for regional landslide management and landslide disaster prevention and mitigation.关键词
黄土滑坡易发性评价/黄土塬地貌/机器学习/可解释性分析Key words
loess landslide susceptibility assessment/loess plateau landforms/machine learning/interpretability analysis分类
资源环境引用本文复制引用
陈丹璐,安雪莲,邵怀勇,李文然,潘明辰,文海家,孙德亮..黄土塬地貌区滑坡灾害易发性量化评估及关键驱动因子[J].北京师范大学学报（自然科学版）,2025,61(2):255-267,13.基金项目
重庆市自然科学基金资助项目(CSTB2023NSCQ-MSX0618) （CSTB2023NSCQ-MSX0618）
