Using Multiple Index Comprehensive Method to Assess Urban Rainstorm Disaster Risk in Jiangsu Province, China

被引:14
作者
Chen, Junfei [1 ,2 ,3 ]
Chen, Mengchen [1 ]
Zhou, Pei [1 ]
机构
[1] Hohai Univ, Business Sch, Nanjing 210098, Peoples R China
[2] Hohai Univ, Yangtze River Conservat & Green Dev Inst, Nanjing 210098, Peoples R China
[3] Hohai Univ, Jiangsu Yangtze River Conservat & High Qual Dev R, Nanjing 210098, Peoples R China
基金
中国国家自然科学基金;
关键词
FUZZY-SET THEORY; FLOOD DISASTER;
D O I
10.1155/2020/8973025
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
An integrated index system for urban rainstorm risk evaluation has been developed. Meanwhile, an information diffusion method (IDM) and variable fuzzy sets (VFSs) were employed to evaluate the dangerousness, sensitivity, and vulnerability risk of urban rainstorm disasters, respectively. Then, the comprehensive risk zoning map was drawn. Finally, Jiangsu Province has been taken as a case study area. Due to heavy rainfall in short-term and low rainstorm resistance ability, Wuxi, Changzhou, Nanjing, and Suzhou have higher dangerousness while Wuxi, Changzhou, and Nanjing have higher sensitivity. And because of potential losses in urban rainstorm disaster, Wuxi and Suzhou have higher vulnerability than other cities. The comprehensive risk zoning map showed that most cities of Jiangsu Province are at the moderate risk level, and the northwestern cities have lower risk level than the southern cities. The results are consistent with the actual situation of Jiangsu Province, and the study can provide some decision-making references for the urban rainstorm management.
引用
收藏
页数:10
相关论文
共 41 条
[1]  
Alfa M.I., 2018, J. Degrad. Min. Lands Manag, V5, P1363, DOI [10.15243/jdmlm.2018.054.1363, DOI 10.15243/JDMLM.2018.054.1363]
[2]   A Machine Learning Ensemble Approach Based on Random Forest and Radial Basis Function Neural Network for Risk Evaluation of Regional Flood Disaster: A Case Study of the Yangtze River Delta, China [J].
Chen, Junfei ;
Li, Qian ;
Wang, Huimin ;
Deng, Menghua .
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2020, 17 (01)
[3]   Risk Assessment of Drought, Based on IDM-VFS in the Nanpan River Basin, Yunnan Province, China [J].
Chen, Junfei ;
Deng, Menghua ;
Xia, Lu ;
Wang, Huimin .
SUSTAINABILITY, 2017, 9 (07)
[4]  
Chen Shou-yu, 2005, Journal of Dalian University of Technology, V45, P308
[5]  
Danumah J.H., 2016, GEOENVIRONMENTAL DIS, DOI [10.1186/s40677-016-0044-y, DOI 10.1186/S40677-016-0044-Y]
[6]  
Denton F., 2002, Gender and Development, V10, P10, DOI 10.1080/13552070215903
[7]   Spatial Pattern of Land Use Change and Its Driving Force in Jiangsu Province [J].
Du, Xindong ;
Jin, Xiaobin ;
Yang, Xilian ;
Yang, Xuhong ;
Zhou, Yinkang .
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2014, 11 (03) :3215-3232
[8]   Forest harvesting is associated with increased landslide activity during an extreme rainstorm on Vancouver Island, Canada [J].
Goetz, J. N. ;
Guthrie, R. H. ;
Brenning, A. .
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES, 2015, 15 (06) :1311-1330
[9]   Integrated risk assessment of flood disaster based on improved set pair analysis and the variable fuzzy set theory in central Liaoning Province, China [J].
Guo, Enliang ;
Zhang, Jiquan ;
Ren, Xuehui ;
Zhang, Qi ;
Sun, Zhongyi .
NATURAL HAZARDS, 2014, 74 (02) :947-965
[10]   A Two-Stage Queue Model to Optimize Layout of Urban Drainage System considering Extreme Rainstorms [J].
He, Xinhua ;
Hu, Wenfa .
MATHEMATICAL PROBLEMS IN ENGINEERING, 2017, 2017