Journal of Risk Analysis and Crisis Response

Volume 5, Issue 4, December 2015, Pages 226 - 233

Research on Urban Waterlogging Disaster Risk Assessment Based on ARCGIS and MIKE FLOOD – A Case Study on Shijiazhuang

Authors
Wei Zhang, Yingjun Hu, Jiazhuo Wang, Chunyang Zhang
Corresponding Author
Wei Zhang
Received 10 September 2015, Accepted 20 October 2015, Available Online 31 December 2015.
DOI
10.2991/jrarc.2015.5.4.3How to use a DOI?
Keywords
Waterlogging disaster risk assessment; MIKE FLOOD; ARCGIS; Shijiazhuang City
Abstract

Urban flood risk assessment supported by accurate and precise modeling could make great contributions to urban flood management. In this paper, an urban drainage system model of Shijiazhuang city was built based on the MIKE21, MIKE URBAN and MIKE 11 modules in MIKE FLOOD platform in order to provide a storm sewer drainage capacity and waterlogging risk evaluation. The results show that in Shijiazhuang, 64.5% of storm sewer drainage criteria is less than 1-year return period storm, and only 28.9% of storm sewer can meet the drainage criteria of 2-year return period storm. The waterlogging risk area grows from 3.2, 15.1 to 18.5 square kilometer when the return period is 10, 20 and 50 years. Both the current condition and the drainage system model database indicate the reasons of the drainage issue in Shijiazhuang which can be summarized as the rapid urbanization, the low capacity of pipe network and pumping stations, the low construction standard, the lag between the sewer system construction and the demand, the lack of drainage outlet, and the imperfect management system.

Copyright
© 2017, 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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Journal
Journal of Risk Analysis and Crisis Response
Volume-Issue
5 - 4
Pages
226 - 233
Publication Date
2015/12/31
ISSN (Online)
2210-8505
ISSN (Print)
2210-8491
DOI
10.2991/jrarc.2015.5.4.3How to use a DOI?
Copyright
© 2017, 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  - JOUR
AU  - Wei Zhang
AU  - Yingjun Hu
AU  - Jiazhuo Wang
AU  - Chunyang Zhang
PY  - 2015
DA  - 2015/12/31
TI  - Research on Urban Waterlogging Disaster Risk Assessment Based on ARCGIS and MIKE FLOOD – A Case Study on Shijiazhuang
JO  - Journal of Risk Analysis and Crisis Response
SP  - 226
EP  - 233
VL  - 5
IS  - 4
SN  - 2210-8505
UR  - https://doi.org/10.2991/jrarc.2015.5.4.3
DO  - 10.2991/jrarc.2015.5.4.3
ID  - Zhang2015
ER  -