版权说明 操作指南
首页 > 成果 > 成果详情

Debris Flow Susceptibility Evaluation in Meizoseismal Region: A Case Study in Jiuzhaigou, China

认领
导出
Link by 万方学术期刊
反馈
分享
QQ微信 微博
成果类型:
期刊论文
作者:
Li, Yongwei;Xu, Linrong;Shang, Yonghui;Chen, Shuyang
通讯作者:
Xu, LR
作者机构:
[Xu, Linrong; Li, Yongwei; Shang, Yonghui; Xu, LR] Cent South Univ, Sch Civil Engn, Changsha 410075, Peoples R China.
[Xu, Linrong; Li, Yongwei; Xu, LR] Cent South Univ, Natl Engn Res Ctr High Speed Railway Construct Te, Changsha 410075, Peoples R China.
[Chen, Shuyang] Cent South Univ Forestry & Technol, Sch Civil Engn, Changsha 410004, Peoples R China.
通讯机构:
[Xu, LR ] C
Cent South Univ, Sch Civil Engn, Changsha 410075, Peoples R China.
Cent South Univ, Natl Engn Res Ctr High Speed Railway Construct Te, Changsha 410075, Peoples R China.
语种:
英文
关键词:
machine learning;earthquakes;debris flow susceptibility;convolutional neural network;deep neural network;watershed unit
期刊:
地球科学学刊
ISSN:
1674-487X
年:
2024
卷:
35
期:
1
页码:
263-279
机构署名:
本校为其他机构
院系归属:
土木工程学院
摘要:
Jiuzhaigou is situated on a mountain-canyon region and is famous for frequent tectonic activities. An abundance of loose co-seismic landslides and collapses were produced on gullies after the Jiuzhaigou Earthquake on August 8, 2017, which was served as material source for debris flow in later years. Debris flow appears frequently which are seriously endangering the safety of people's lives and properties. Even the earliest debris flow appeared in areas where no case ever reported before. The debris flow susceptibility evaluation (DFSE) is used for predicting the areas prone to debris flow, whi...

反馈

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

提示

该栏目需要登录且有访问权限才可以访问

如果您有访问权限,请直接 登录访问

如果您没有访问权限,请联系管理员申请开通

管理员联系邮箱:yun@hnwdkj.com