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Largest scale successful real-time evacuation after the Wenchuan earthquake in China: lessons learned from the Zengda gully giant debris flow disaster

Authors :
Guisheng Hu
Hong Huang
Ningsheng Chen
Marcelo Somos-Valenzuela
Zhiquan Yang
Jie He
Source :
Geomatics, Natural Hazards & Risk, Vol 13, Iss 1, Pp 19-34 (2022)
Publication Year :
2022
Publisher :
Taylor & Francis Group, 2022.

Abstract

A catastrophic debris flow occurred in the Zengda gully, a branch of the Dajinchuan River in Zengda town, Jinchuan County, Sichuan Province, China. The successful implementation of a real-time evacuation avoided 820 casualties for people living in 200 settlements. This was the largest-scale successful real-time evacuation for a debris flow disaster after the Wenchuan earthquake in China. In order to better reveal the causes of the successful real-time evacuation process of the giant debris flow disaster, the characteristics, formation and movement process of the debris flow were studied using multi-temporal remote sensing images, field investigation, laboratory analysis, and empirical formula calculations. It was found that the successful real-time evacuation was possible because of a well-executed monitoring system, timely release of early warning information, a highly effective operation disaster prevention system, and decisive and advanced avoidance. It also transferred strategies through in-depth analysis of several important stages in the real-time evacuation process. Finally, an exemplary mode of community-based warning is proposed based on the Zengda gully giant debris flow disaster real-time evacuation. Specifically, the mode was led by government, implemented by local residents and proceeded with the guidance by experts in the field. The experience and effective risk avoidance mode presented in this paper can be shared and employed by other countries or regions at serious risk for debris flow disasters.

Details

Language :
English
ISSN :
19475705 and 19475713
Volume :
13
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Geomatics, Natural Hazards & Risk
Publication Type :
Academic Journal
Accession number :
edsdoj.06a2be8ba30f497eae30a9c2ce3fb983
Document Type :
article
Full Text :
https://doi.org/10.1080/19475705.2021.2000045