Risk Assessment of Typhoon Storm Surge Disasters in Guangdong Province Based on the Improved Fuzzy Bayesian Network
Chengzu Bai, Ren Zhang, JianQi Zhang, Ting Wang
Available Online November 2016.
- https://doi.org/10.2991/rac-16.2016.35How to use a DOI?
- risk assessment; information diffusion; storm surge; Bayesian network
- To expand insufficient information resource and express fuzzy uncertainty for risk assessment, a new Bayesian network was proposed in this paper. Information diffusion model and triangle fuzzy values were employed to improve the prior probability, using Monte Carlo method to establish the conditional probability tables with the help of AHP. According to the data of typhoon storm surge disasters, economic, cultural and other characteristics, the zoning map of storm surge risk based on Grid and GIS was realized to study disaster risk, vulnerability and capacity of disaster prevention in Guangdong. It showed the results tallied with the practical situation, which may provide the help to reduce the loss caused by storm surge in China.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Chengzu Bai AU - Ren Zhang AU - JianQi Zhang AU - Ting Wang PY - 2016/11 DA - 2016/11 TI - Risk Assessment of Typhoon Storm Surge Disasters in Guangdong Province Based on the Improved Fuzzy Bayesian Network BT - 7th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC-2016) PB - Atlantis Press UR - https://doi.org/10.2991/rac-16.2016.35 DO - https://doi.org/10.2991/rac-16.2016.35 ID - Bai2016/11 ER -