DocumentCode
2938156
Title
Study on Risk Assessment of Urban Waterlogging
Author
Gao, Bin ; Zhao, Xinhua ; Sun, Xin ; Peng, Chenrui
Author_Institution
Environ. Sci. & Technol., Tianjin Univ., Tianjin, China
Volume
3
fYear
2009
fDate
21-22 Nov. 2009
Firstpage
352
Lastpage
355
Abstract
Risk assessment is applied to the study of urban waterlogging. A series of methods which are suitable for the risk study of urban waterlogging are presented. Based on the hydraulic model built by InfoWorks Collection System software, the situation of normal state/ pump failure under special return period is simulated. Also, the seeper depth and recoverability theory are selected as the quantitative indexes of risk consequence and calculated by the Visual Basic (VB) programs. Moreover, comprehensive decomposition analytical method combined with check list method is applied to the risk identification; the Monte Carlo method is applied to the risk estimation as well as the fuzzy comprehensive evaluation is used to the risk evaluation. Finally the risk map of specific return period is drawn to directly reflect the degree of urban waterlogging.
Keywords
Monte Carlo methods; Visual BASIC; fuzzy set theory; pumping plants; risk management; town and country planning; water supply; InfoWorks Collection System software; Monte Carlo method; Visual Basic programs; check list method; comprehensive decomposition analytical method; fuzzy comprehensive evaluation; hydraulic model; pump failure; recoverability theory; risk assessment; risk estimation; risk evaluation; risk identification; seeper depth; urban waterlogging; Cities and towns; Computational modeling; Design engineering; Information technology; Risk analysis; Risk management; Sun; System software; Tropical cyclones; Urban planning; Monte Carlo method; pump failure; risk assessment; urban storm system; waterlogging;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Information Technology Application, 2009. IITA 2009. Third International Symposium on
Conference_Location
Nanchang
Print_ISBN
978-0-7695-3859-4
Type
conf
DOI
10.1109/IITA.2009.455
Filename
5370624
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