物探化探计算技术2024,Vol.46Issue(5) :618-626.DOI:10.3969/j.issn.1001-1749.2024.05.14

基于IV-MLP耦合模型的龙陵县滑坡易发性评价

Landslide susceptibility evaluation in Longling County based on the coupling model of information volume and multi-layer perceptron

张宇 简季 郝利娜 杨鑫
物探化探计算技术2024,Vol.46Issue(5) :618-626.DOI:10.3969/j.issn.1001-1749.2024.05.14

基于IV-MLP耦合模型的龙陵县滑坡易发性评价

Landslide susceptibility evaluation in Longling County based on the coupling model of information volume and multi-layer perceptron

张宇 1简季 2郝利娜 2杨鑫2
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作者信息

  • 1. 云南省地质矿产勘查开发局第一水文地质工程地质大队,昆明 650041
  • 2. 成都理工大学地球科学学院,成都 610059
  • 折叠

摘要

滑坡易发性评价模型会直接影响到研究结果准确性,为探究不同耦合模型对滑坡易发性分析的影响,以云南省龙陵县为研究区,共选取高程、坡度、工程岩组等8个因子构建滑坡易发性评价体系,引入多层感知器方法(MLP)与信息量模型(IV)耦合以开展滑坡易发性评价,与传统信息量-逻辑回归模型(IV-LR)进行分析比较,并通过AUC值进行精度验证.结果表明:IV-MLP模型、IV-LR模型及IV模型的AUC值分别为0.862、0.813与0.799.IV-MLP耦合模型AUC值高于IV-LR耦合模型,MLP模型在与IV模型进行滑坡易发性耦合分析中表现更优秀;IV-MLP、IV-LR耦合模型的AUC值分别高于单一IV模型0.063、0.014,对滑坡进行易发性分区时耦合模型较单一模型效果更佳.研究结果能够为龙陵县滑坡易发性评价提供科学的理论依据,并为该地区的防灾工作提供参考.

Abstract

Landslide susceptibility evaluation models can directly affect the accuracy of research results.To investigate the influence of different coupled models on landslide susceptibility analysis,a total of eight evaluation factors,including elevation,slope,engineering rock group and so on,were selected in Longling County,Yunnan Province,as the study area to construct a landslide susceptibility evaluation system.The multi-layer perceptron method(MLP)was coupled with the information volume model(IV)to carry out landslide susceptibility evaluation and was compared with the traditional information volume-logistic regression model(IV-LR),and the accuracy was verified by the AUC value.The results show that the AUC values of IV-MLP,IV-LR,and IV models were 0.862,0.813,and 0.799,respectively.The AUC value of the IV-MLP coupling model is higher than that of the IV-LR coupling model,and the MLP model performs better in the landslide susceptibility coupling anal-ysis than the IV model.The AUC values of IV-MLP and IV-LR coupling models were higher than those of the single IV model by 0.063 and 0.014,respectively,and the coupled model is more effective than the single model in the landslide susceptibility zoning.The results can provide a scientific theoretical basis for assessing landslide susceptibility in Longling County and a ref-erence for disaster prevention.

关键词

滑坡易发性/信息量法/逻辑回归/多层感知器/龙陵县

Key words

landslide susceptibility/information volume method/logistic regression/multi-layer perceptron/Longling county

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基金项目

国家重点研发计划课题(2021YFC3000401)

出版年

2024
物探化探计算技术
成都理工大学 中国地质科学院物化探研究所

物探化探计算技术

CSTPCD
影响因子:0.398
ISSN:1001-1749
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