Issue |
E3S Web Conf.
Volume 165, 2020
2020 2nd International Conference on Civil Architecture and Energy Science (CAES 2020)
|
|
---|---|---|
Article Number | 03049 | |
Number of page(s) | 6 | |
Section | Geology, Mapping, and Remote Sensing | |
DOI | https://doi.org/10.1051/e3sconf/202016503049 | |
Published online | 01 May 2020 |
Conceptual Framework for the Risk Assessment of Hydrological Disasters: A Case from Urumqi, China
1 School of Management, Jiangsu University, Zhenjiang, Jiangsu, 212013, China
2 School of Civil Engineering and Geomatics, Southwest Petroleum University, Chengdu, Sichuan, 610500, China
* Corresponding author: 2111710001@stmail.ujs.edu.cn
Hydrological disasters have become one of the most serious problems facing regional green development. In order to develop a method suitable for comprehensive assessment of urban hydrological disasters, this paper takes Urumqi, China as the research object, and proposes a conceptual framework. Urumqi is an urban area in the northwest of China, and it is often devastated by hydrological disasters. In combination with urban geographic data and the mathematical calculation model of Urumqi, China, the urban hydrological disasters analysis model of Urumqi is established by using the spatial analysis technology of the Geographic Information System according to the risk index of hydrological disaster. Considering the various related factors, like the hazard risk, vulnerability and exposure of disaster, and disaster environment, the risk assessment framework of hydrological disasters in Urumqi is finally designed. In addition, the framework provides a reference for relevant government agencies to develop disaster prevention and mitigation policies.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.