水土保持研究2024，Vol.31Issue(6)：271-280,10.DOI:10.13869/j.cnki.rswc.2024.06.028
基于多元自适应回归样条的黄土区滑坡敏感性评价
Susceptibility Assessment of Landslide in the Loess Region Based on Multivariate Adaptive Regression Spline
摘要
Abstract
[Objective]The purpose of this study is to explore and evaluate the influence of disaster factors on the susceptibility zoning of Loess landslide,so as to assist the monitoring,warning and prevention of landslide disaster.[Methods]Based on factor screening and independence test,multiple adaptive regression spline model(MARS)was used to independently segment the data,to fit several basis functions,to construct hinge functions to establish a connection mechanism between the basis functions,and then to reverse self-correct,to eliminate or modify part of the basis functions to achieve independent selection of disaster factors and give factor weights.At last,probability ratio(PR)model was introduced to analyze the accuracy.[Results](1)The physical meaning of the base function of MARS model is clear,which greatly reduces the complexity of the model and is easy to implement GIS spatial analysis.(2)The multicollinearity and correlation tests of assessment factors are helpful for MARS model optimization.(3)The classification of extremely sensitive and highly sensitive areas by MARS model is more rigorous and objective than that by PR model,and the result of landslide susceptibility classification is the result of the comprehensive effect of all the participating factors,and the influence of key factors on the assessment results is not obvious.[Conclusion]In the study on the susceptibility assessment of Loess landslide in Yaozhou District of Tongchuan City by MARS model,the AUC value of ROC curve is 0.879,the overall fitting effect is good,and the results are consistent with the field investigation results,and the results are reliable.关键词
多元自适应回归样条/黄土/滑坡/敏感性评价Key words
multivariate adaptive regression spline/loess/landslide/susceptibility assessment分类
天文与地球科学引用本文复制引用
潘网生,赵恬茵,李鑫,卢玉东..基于多元自适应回归样条的黄土区滑坡敏感性评价[J].水土保持研究,2024,31(6):271-280,10.基金项目
黔南民族师范学院支持引进高层次人才研究专项项目(2021qnsyrc03) （2021qnsyrc03）
贵州省自然科学基金重点项目(黔科合基础[2018]1416) （黔科合基础[2018]1416）
黄土高原土壤侵蚀与旱地农业国家重点实验室基金课题(A314021402-202113) （A314021402-202113）
中央引导地方科技发展资金项目(236Z5405G) （236Z5405G）
河北省自然科学基金(E2021210092) （E2021210092）
黔南民族师范学院2024年度重点研究科研能力提升项目(2024zdzk07) （2024zdzk07）
