Exposure assessment of rainstorm waterlogging on old-style residences in Shanghai based on scenario simulation

被引:0
|
作者
Yong Shi
Chun Shi
Shi-Yuan Xu
A-Li Sun
Jun Wang
机构
[1] East China Normal University,Key Laboratory of Geographic Information Science of Ministry of Education, Department of Geography, School of Resources and Environmental Science
来源
Natural Hazards | 2010年 / 53卷
关键词
Shanghai; Old-style residence; Waterlogging; Exposure; Scenario simulation; GIS;
D O I
暂无
中图分类号
学科分类号
摘要
Waterlogging is one of the most serious hazards in China. Old-style residences in cities are prone to be damaged by waterlogging hazards. This paper describes our exposure assessment of old-style residences in Shanghai during rainstorm waterlogging. Two rainstorm scenarios of 20-year and 50-year return periods were simulated with the rainstorm simulation model from Shanghai Flood Risk Information Center. Each old-style residence was ranked according to its degree of exposure indicated by the inundation depth of that residence. An exposure assessment model was then built to integrate three ranks of exposure in order to reflect the total exposure features of a district and to compare disaster situation among different districts. Our research results reveal that Hongkou District and Huangpu District are the regions most necessary for the government to carry out safety defense in old-style residences, while rainstorms bring little effect on old-style residences in the districts of Putuo, Luwan, Changning, Zhabei, and Jing’an. These results provide important information for Shanghai Municipal Government to improve waterlogging management, and the method of exposure assessment can also be applied in other cities to provide guidance regarding flood risk control.
引用
收藏
页码:259 / 272
页数:13
相关论文
共 50 条
  • [21] Risk Assessment of Rainstorm Waterlogging in New District Based on MIKE Urban
    Wang, Ying
    Luan, Qinghua
    Wang, Haichao
    Liu, Jiahong
    Ma, Jun
    [J]. SUSTAINABLE DEVELOPMENT OF WATER RESOURCES AND HYDRAULIC ENGINEERING IN CHINA, 2019, : 29 - 40
  • [22] Scenario Based Hazard Assessment on Rainstorm Water logging over Urban Roads of Pudong New Area, Shanghai
    Liu, Rui
    Wen, Jiahong
    Yan, Lijun
    [J]. PROCEEDINGS OF THE FIRST SYMPOSIUM ON DISASTER RISK ANALYSIS AND MANAGEMENT IN CHINESE LITTORAL REGIONS, 2011, 18 : 301 - +
  • [23] Simulation of Response Ability for Rainstorm and Waterlogging in Metro Station Construction Based on SD
    Tian, Mengyuan
    Wang, Junwu
    Wang, Jing
    Pan, Ziyao
    Liu, Sen
    [J]. ICCREM 2021: CHALLENGES OF THE CONSTRUCTION INDUSTRY UNDER THE PANDEMIC, 2021, : 196 - 204
  • [24] Simulation of rainstorm waterlogging in dahongmen drainage area based on SWMM and infoworks ICM models
    Liao, Ruting
    Xu, Zongxue
    Ye, Chenlei
    Shu, Xinyi
    Yang, Dongming
    [J]. Water Resources Protection, 2023, 39 (03) : 109 - 117
  • [25] The Study of Urban Rainstorm Waterlogging Scenario Simulation Based on GIS and SWMM Model -Take the Example of Kunming Dongfeng East Road Catchment Area
    Zhao, Xudong
    Yang, Kun
    Peng, Shuangyun
    Xu, Quanli
    Meng, Chao
    [J]. 2013 21ST INTERNATIONAL CONFERENCE ON GEOINFORMATICS (GEOINFORMATICS), 2013,
  • [26] Dynamic Risk Analysis on City Waterlogging Disaster Based on Scenario Simulation
    Pang, Xilei
    Huang, Chongfu
    Zhang, Yingju
    [J]. PROCEEDINGS OF THE 7TH ANNUAL MEETING OF RISK ANALYSIS COUNCIL OF CHINA ASSOCIATION FOR DISASTER PREVENTION, 2016, 128 : 712 - 720
  • [27] The simulation, regulation capacity assessment and coping strategy of rainstorm runoff waterlogging in Zhu pai-chong Basin of Nanning, China
    Li, Qianyun
    Yang, Yunchuan
    Liao, Haixiang
    Liu, Miaoqing
    Liao, Liping
    Huang, Shanqi
    Sun, Guikai
    Mo, Chongxun
    Li, Xungui
    [J]. JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2023, 332
  • [28] Scenario-Based Simulation of Impervious Surfaces for Detecting the Effects of Landscape Patterns on Urban Waterlogging
    Li, Jiahui
    Hou, Hao
    Zhang, Yindong
    Huang, Ruolin
    Hu, Tangao
    [J]. REMOTE SENSING, 2024, 16 (12)
  • [29] Scenario-based economic and societal risk assessment of storm flooding in Shanghai
    Tang, Jin
    Li, Weijiang
    Fang, Jiayi
    Zhang, Zhonghao
    Du, Shiqiang
    Wu, Yanjuan
    Wen, Jiahong
    [J]. INTERNATIONAL JOURNAL OF CLIMATE CHANGE STRATEGIES AND MANAGEMENT, 2021, 13 (4-5) : 529 - 546
  • [30] Integrated Risk Assessment of Waterlogging in Guangzhou Based on Runoff Modeling, AHP, GIS and Scenario Analysis
    Xie, Shuai
    Liu, Wan
    Yuan, Zhe
    Zhang, Hongyun
    Lin, Hang
    Wang, Yongqiang
    [J]. WATER, 2022, 14 (18)