Geohazard Sensitivity Evaluation in Xinning, Hunan, China, Using Random Forest, Artificial Neural Network, and Logistic Regression Algorithms

首页 > 成果 > 详情

认领

导出

Link by DOI

反馈

作者信息关键词期刊信息基础信息归属信息摘要

成果类型：

期刊论文

作者：

Wang, Zhengqing;Yu, Yan;Chen, Yulin;Liu, Zhongnan;He, Haiyang;...

通讯作者：

Chen, YL

作者机构：

[Zhang, Dinghao; Guo, Zhixin; Ding, Huadong; Wang, Zhengqing; Yu, Yan; He, Haiyang] Univ South China, Sch Resource Environm & Safety Engn, Hengyang 421001, Hunan, Peoples R China.

[Chen, Yulin; Li, Ce; Liu, Zhongnan; Peng, Lujun] Geophys & Geochem Survey Inst Hunan Prov, Geol & Mineral Resources Ctr, Changsha 410000, Hunan, Peoples R China.

[Li, Ce] Nat Resources & Planning Bur Hanyuan Cty, Hanyuan Cty Land Space Planning Ctr, Yaan 625300, Sichuan, Peoples R China.

[Liu, Rentian] Univ South China, Explorat Engn Technol Ctr, Sch Resource Environm & Safety Engn, Hengyang 421001, Hunan, Peoples R China.

[Pan, Junhua] Geophys & Geochem Survey Inst Hunan Prov, Changsha 410000, Hunan, Peoples R China.

通讯机构：

[Chen, YL ] G

Geophys & Geochem Survey Inst Hunan Prov, Geol & Mineral Resources Ctr, Changsha 410000, Hunan, Peoples R China.

语种：

英文

关键词：

Geohazard;Random forest (RF);Artificial neural network (ANN);Logistic regression (LR);Sensitivity evaluation

期刊：

Natural Hazards Review

ISSN：

1527-6988

年：

2025

卷：

期：

页码：

05024017

DOI：

10.1061/NHREFO.NHENG-2138

基金类别：

Geophysical and Geochemical Survey Institute of Hunan Province [210KHX074]

机构署名：

本校为第一机构

摘要：

Geohazards may cause great damage to human life and property. It is of great significance to carry out geohazard sensitivity evaluation studies to recognize the development characteristics of geohazards and to predict key hazard areas. In this study, three algorithms, namely, random forest (RF), artificial neural network (ANN), and logistic regression (LR), were used to evaluate the geohazard sensitivity in Xinning, China. Through preliminary remote-sensing interpretation and field validation work, 346 geohazard sites were obtained. Nine influe...

反馈

产权有误：本人成果被他人认领

数据有误：数据基本信息有误

归属有误：成果的院系归属、机构署名归属有误

其他原因：

验证码：

看不清楚，换一个

确定

取消

成果认领

标题：

用户	作者	通讯作者	--
	请选择	请选择	--

确定

取消

Geohazard Sensitivity Evaluation in Xinning, Hunan, China, Using Random Forest, Artificial Neural Network, and Logistic Regression Algorithms

反馈

成果认领

提示

该栏目需要登录且有访问权限才可以访问