Risk Analysis of Urban Waterlogging Disaster based on Large Data Simulation

DOI

10.2991/mcei-17.2017.210How to use a DOI?

Keywords

Large Data, Simulation, Urban Flooding, Risk

Abstract

This paper uses the principle and method of simplifying the urban waterlogging model to set up a model of waterlogging problem in a horizontal bridge of Changchun. This model is combined with the precipitation data from 1950 to 2010 in Changchun City, and the probability of waterlogging risk at the bottom of the bridge is calculated by simulation method. The results show that the drainage network is not suitable for the heavy rainfall, and the greening rate on both sides of the road can reduce the risk of waterlogging caused by moderate intensity rainfall. The innovation of this paper is to combine simulation with large rainfall data, which is of practical significance to predict the risk of urban waterlogging.

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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TY  - CONF
AU  - Bingde Deng
AU  - Wen Li
PY  - 2017/12
DA  - 2017/12
TI  - Risk Analysis of Urban Waterlogging Disaster based on Large Data Simulation
BT  - Proceedings of the 2017 7th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2017)
PB  - Atlantis Press
SP  - 976
EP  - 980
SN  - 2352-538X
UR  - https://doi.org/10.2991/mcei-17.2017.210
DO  - 10.2991/mcei-17.2017.210
ID  - Deng2017/12
ER  -