Proceedings of the 7th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention

Flood and Water-Logging Disaster Risk Analysis and Research of Bazhong City

Authors
Menghao Xi, Qiuhong Zhao, Ningcheng Yang
Corresponding Author
Menghao Xi
Available Online November 2016.
DOI
10.2991/rac-16.2016.34How to use a DOI?
Keywords
Bazhong, flood, risk
Abstract

Flood natural disasters to the human society has caused heavy casualties and property losses, etc., based on the statistical analysis of Sichuan Bazhong flood formation mechanism of natural disasters, on the basis of using risk management theory and methods of building mathematical model for the evaluation of flood disaster risk, determine the risk value of flood disasters in this region, and put forward the region on the basis of flood disaster risk prevention countermeasures, to reduce the risk of flood disaster brought the loss.

Copyright
© 2016, 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/).

Download article (PDF)

Volume Title
Proceedings of the 7th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention
Series
Advances in Intelligent Systems Research
Publication Date
November 2016
ISBN
978-94-6252-242-8
ISSN
1951-6851
DOI
10.2991/rac-16.2016.34How to use a DOI?
Copyright
© 2016, 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/).

Cite this article

TY  - CONF
AU  - Menghao Xi
AU  - Qiuhong Zhao
AU  - Ningcheng Yang
PY  - 2016/11
DA  - 2016/11
TI  - Flood and Water-Logging Disaster Risk Analysis and Research of Bazhong City
BT  - Proceedings of the 7th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention
PB  - Atlantis Press
SP  - 211
EP  - 216
SN  - 1951-6851
UR  - https://doi.org/10.2991/rac-16.2016.34
DO  - 10.2991/rac-16.2016.34
ID  - Xi2016/11
ER  -