Refined assessment of flash flood vulnerability in Linzhi based on spatialization and GIS-Reference-Cited by-同舟云学术

Refined assessment of flash flood vulnerability in Linzhi based on spatialization and GIS

Published:2022-10-20 Issue:27 Volume:37 Page:18042-18066
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Cui Xingjie¹,Xiong Junnan¹²,Cheng Weiming²³^ORCID,Yang Yanmei¹,Liu Jun¹,Duan Yu¹,He Wen¹,He Yufeng¹,Luo Siyuan¹,Wang Xin¹

Affiliation:

1. School of Civil Engineering and Geomatics, Southwest Petroleum University, Chengdu, China

2. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, China

3. University of Chinese Academy of Sciences, Beijing, China

Funder

Key R & D project of Sichuan Science and Technology Department

National Key R&D Program of China

Strategic Priority Research Program of the Chinese Academy of Sciences

Science and Technology Project of Xizang Autonomous Region

National Flash Flood Investigation and Evaluation Project

Project form Science and Technology Bureau of Altay Region in Yili Kazak Autonomous Prefecture

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10106049.2022.2136264

Reference97 articles.

1. Vulnerability

2. Natural Hazards on an Unquiet Earth

3. Global projections of river flood risk in a warmer world

4. Evaluation of flood susceptibility mapping using logistic regression and GIS conditioning factors

5. Spatial modeling of flood probability using geo-environmental variables and machine learning models, case study: Tajan watershed, Iran

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