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Urban pluvial flood risk assessment based on scenario simulation
Boni Su
author
Hong Huang
author
Zhiqiang Wang
author
Nan Zhang
author
Wei Zhu
author
Xinfeng Wei
author
2016
Federal University of Rio de Janeiro
Rio de Janeiro, Brasil
English
In this study, urban pluvial flood risk is studied in an actual study area using scenario simulation method based on hydrodynamics. Real weather data and GIS (Geographic Information System) data are adopted to make the results reliable. A region in Haidian District of Beijing is selected as the study area. All the rainfall scenarios (about 200 scenarios) during an 8-year period (from January 1, 2008 to December 31, 2015) are obtained from hourly precipitation data. These rainfall scenarios are used as input for numerical simulations. Spatial-temporal distributions of water depth are obtained through numerical simulation base on SWEs (Shallow-Water Equations). GPU computing technique is applied to increase simulation speed greatly. Influence of rainfall parameters on flood water depth is analyzed. The results show that water depth becomes higher if rainfall duration and average rainfall intensity increase. Moreover, situation of water depth is not only related to overall parameters like rainfall duration or rainfall intensity, but also related to other details of rainfall. Water depth exceedance probability curves of every location and every building are obtained, and different characteristics of the curves are discussed. Finally, the effect of water depth exceedance probability curves of buildings on designing building foundation height is shown. This study is helpful to the risk assessments of urban pluvial flood.
exported from refbase (http://idl.iscram.org/show.php?record=1422), last updated on Sun, 22 May 2016 10:25:49 +0200
text
http://idl.iscram.org/files/bonisu/2016/1422_BoniSu_etal2016.pdf
BoniSu_etal2016
ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management
ISCRAM 2016
A. Tapia
editor
P. Antunes
editor
V.A. BaƱuls
editor
K. Moore
editor
J. Porto
editor
13th International Conference on Information Systems for Crisis Response and Management
2016
Federal University of Rio de Janeiro
Rio de Janeiro, Brasil
conference publication
978-84-608-7984-9
2411-3388
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