Risk Assessment of People Trapped in Earthquakes Based on Km Grid: A Case Study in Zhaotong City, Yunnan, China

DOI

10.2991/rac-18.2018.15How to use a DOI?

Keywords

earthquake disaster; casualty; Km grid; risk assessment; Yunnan

Abstract

Risk assessment of the trapped personnel location is the important basis for earthquake disaster risk preparation and emergency search and rescue in an earthquake. Using a constructed assessment model, we assessed the risk of people trapped in the collapsed buildings caused by an earthquake in Zhaotong city, Yunnan province, based on km grid data. Results showed that, the highest risk areas of trapped personnel distribution were mainly located in Zhaoyang district, Zhenxiong county and Weixin county. The higher the occupancy population density and the area of collapsed buildings are, the higher the risk level of people trapped. The grid-based assessment of people trapped in earthquakes, can meet the requirements of key search and rescue zone identification and rescue forces allocation in the early stage of earthquake emergency. In future, as the abundant and improvement of basic data, it is possible to provide more information and suggestions for earthquake disaster risk preparation and emergency search and rescue by using grid-based risk assessment of trapped people in earthquakes.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Benyong Wei
AU  - Xiang Dong
AU  - Yuling Ma
AU  - Xiaoyun Zhao
AU  - Shuangshuang Shi
PY  - 2018/10
DA  - 2018/10
TI  - Risk Assessment of People Trapped in Earthquakes Based on Km Grid: A Case Study in Zhaotong City, Yunnan, China
BT  - Proceedings of the 8th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2018)
PB  - Atlantis Press
SP  - 86
EP  - 92
SN  - 2352-5428
UR  - https://doi.org/10.2991/rac-18.2018.15
DO  - 10.2991/rac-18.2018.15
ID  - Wei2018/10
ER  -