Proceedings of the 8th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2018)

Research on Urban Water Logging Emergency Rescue Based on Military Chess Deduction

Authors
Shuo Zhang, Peng Chen, Jianhua Bao, Hongyang Zhao
Corresponding Author
Shuo Zhang
Available Online October 2018.
DOI
10.2991/rac-18.2018.28How to use a DOI?
Keywords
urban waterlogging;wargame;Dynamic Bayesian Network
Abstract

At present,the social waterlogging disasters are frequent and there are many uncertain factors in the analysis of waterlogging. In this study, we use dynamic Bayesian model to analyze the probability of uncertain disasters, and achieve the wargame technology of waterlogging disasters in Harbin Daoli District. The experimental results show that Bayesian network is feasible for analyzing the total probability of waterlogging disaster under wargame technology model. It is great significance for further research the effects of uncertain disasters

Copyright
© 2018, 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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Volume Title
Proceedings of the 8th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2018)
Series
Advances in Economics, Business and Management Research
Publication Date
October 2018
ISBN
978-94-6252-574-0
ISSN
2352-5428
DOI
10.2991/rac-18.2018.28How to use a DOI?
Copyright
© 2018, 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  - Shuo Zhang
AU  - Peng Chen
AU  - Jianhua Bao
AU  - Hongyang Zhao
PY  - 2018/10
DA  - 2018/10
TI  - Research on Urban Water Logging Emergency Rescue Based on Military Chess Deduction
BT  - Proceedings of the 8th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2018)
PB  - Atlantis Press
SP  - 177
EP  - 184
SN  - 2352-5428
UR  - https://doi.org/10.2991/rac-18.2018.28
DO  - 10.2991/rac-18.2018.28
ID  - Zhang2018/10
ER  -