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空间多尺度下安溪县滑坡易发性评价

张惠琪 蓝燕金 简文彬

福州大学学报(自然科学版)2025,Vol.53Issue(2):234-243,10.
福州大学学报(自然科学版)2025,Vol.53Issue(2):234-243,10.DOI:10.7631/issn.1000-2243.24009

空间多尺度下安溪县滑坡易发性评价

Multi-scale spatial analysis of landslide susceptibility in Anxi County

张惠琪 1蓝燕金 1简文彬2

作者信息

  • 1. 福州大学紫金地质与矿业学院,福建 福州 350108
  • 2. 福州大学紫金地质与矿业学院,福建 福州 350108||地质工程-福建省高校工程研究中心,福建 福州 350108
  • 折叠

摘要

Abstract

This paper presents an analysis of historical landslide data from Anxi County,Fujian Province,coupled with a spatial multiscale approach.In the assessment of landslide susceptibility,we employed a combination of the logistic regression model,information model,and the entropy weight method.The outcomes reveal that both the logistic regression model and the information model are better suited for large-scale landslide susceptibility evaluations.Notably,the logistic regression model exhibits slightly superior predictive performance compared to the information model.Furthermore,it is noteworthy that the information model yields more accurate results at the local scale as opposed to the regional scale while optimizing sample parameters based on data-driven information quantity models can achieve reasonable results.Subsequently,the entropy weight method,employed to assess the susceptibility of individual-scale landslides,also demonstrates its suitability in this context.The assess-ment outcomes have been validated through model testing and comparison with actual landslide occur-rences,and they exhibit a commendable level of accuracy.This research's findings can serve as a valuable reference for the assessment of landslide susceptibility.

关键词

空间多尺度/滑坡易发性评价/信息量模型/逻辑回归模型/熵权法/安溪县

Key words

spatial multi-scale/landslide susceptibility evaluation/information model/logistical regression model/entropy weighting method/Anxi County

分类

天文与地球科学

引用本文复制引用

张惠琪,蓝燕金,简文彬..空间多尺度下安溪县滑坡易发性评价[J].福州大学学报(自然科学版),2025,53(2):234-243,10.

基金项目

国家自然科学基金资助项目(U2005205) (U2005205)

福州大学学报(自然科学版)

OA北大核心

1000-2243

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