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Spatial prediction of landslide susceptibility using GIS-based statistical and machine learning models in Wanzhou County,Three Gorges Reservoir, China

Ting Xiao Kunlong Yin Tianlu Yao Shuhao Liu

地球化学学报(英文版)2019,Vol.38Issue(5):654-669,16.
地球化学学报(英文版)2019,Vol.38Issue(5):654-669,16.

Spatial prediction of landslide susceptibility using GIS-based statistical and machine learning models in Wanzhou County,Three Gorges Reservoir, China

Spatial prediction of landslide susceptibility using GIS-based statistical and machine learning models in Wanzhou County,Three Gorges Reservoir, China

Ting Xiao 1Kunlong Yin 1Tianlu Yao 2Shuhao Liu1

作者信息

  • 1. Faculty of Engineering, China University of Geosciences,Wuhan 430074, Hubei, China
  • 2. School of Engineering and Technology, China University of Geosciences, Beijing, China
  • 折叠

摘要

关键词

Landslide susceptibility mapping/Statistical model/Machine learning model/Four cases

Key words

Landslide susceptibility mapping/Statistical model/Machine learning model/Four cases

引用本文复制引用

Ting Xiao,Kunlong Yin,Tianlu Yao,Shuhao Liu..Spatial prediction of landslide susceptibility using GIS-based statistical and machine learning models in Wanzhou County,Three Gorges Reservoir, China[J].地球化学学报(英文版),2019,38(5):654-669,16.

基金项目

This paper was prepared as part of the projects "The risk assessment of geological hazards induced by reservoir water level fluctuation in Chongqing,Three-Gorges Reservoir,China." (No.2016065135) and "The study of mechanism and forecast criterion of the gentle-dip landslides in The Three Gorges Reservoir Region,China" (No.41572292) funded by the National Natural Science Foundation of China. (No.2016065135)

地球化学学报(英文版)

OACSCDEI

2096-0956

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