Social Impact Assessment of Storm Surge Disaster Through Dynamic Neural Network Model

doi:10.23940/ijpe.19.10.p28.28172825

Int J Performability Eng ›› 2019, Vol. 15 ›› Issue (10): 2817-2825.doi: 10.23940/ijpe.19.10.p28.28172825

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Social Impact Assessment of Storm Surge Disaster Through Dynamic Neural Network Model

Cheng Cheng^a, Qingtian Zeng^a^b^*, Hua Zhao^a, Wenyan Guo^a, and Hua Duan^a

^aCollege of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, 266590, China
^bCollege of College of Electronic and Information Engineering, Shandong University of Science and Technology, Qingdao, 266590, China

Submitted on ; Revised on ; Accepted on
Contact: Zeng Qingtian
About author:
* Corresponding author. E-mail address: qtzeng@163.com
Supported by:
Fund This work was supported in part by the NSFC (No 61472229, 61602279, 71704096, and 31671588), the Science & Technology Development Fund of Shandong Province of China (No 2016ZDJS02A11, ZR2017BF015, and ZR2017MF027), the Humanities and Social Science Research Project of the Ministry of Education (No 16YJCZH154, 16YJCZH041 16YJCZH012, and 18YJAZH017), the Taishan Scholar Climbing Program of Shandong Province, and the SDUST Research Fund (No 2015TDJH102)

Abstract

Abstract:

Storm surges are one of the most serious marine disasters in the world. Storm surge disasters bring not only sudden loss of life and property, but also a series of invisible social impacts. The social impact of storm surge disasters varies with time and is difficult to assess. In this paper, we firstly analyze the social impact index system in storm surge disasters using big data. Secondly, we extract the content of social impact factors from storm surge disasters. Finally, we use the back propagation neural network (BPNN) model to assess the level of social impact. The input of the model are factors after linear weighted fusion, and the output is the social impact assessment level of storm surge disasters. Experimental results show that our approach can accurately assess the level of social impact at different times, and the assessment model can assist disaster managers in making dynamic solving countermeasures.

Key words: storm surge, social impact, internet big data, BPNN

Cheng Cheng, Qingtian Zeng, Hua Zhao, Wenyan Guo, and Hua Duan. Social Impact Assessment of Storm Surge Disaster Through Dynamic Neural Network Model [J]. Int J Performability Eng, 2019, 15(10): 2817-2825.

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Social Impact Assessment of Storm Surge Disaster Through Dynamic Neural Network Model

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