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An Alternative Risk Assessment Model of Urban Waterlogging: A Case Study of Ningbo City

Author

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  • Meiling Zhou

    (Institute of Human Geography and Urban-Rural Planning, Faculty of Geography science and Tourism Culture, Ningbo University, Ningbo 315211, China)

  • Xiuli Feng

    (Institute of Human Geography and Urban-Rural Planning, Faculty of Geography science and Tourism Culture, Ningbo University, Ningbo 315211, China)

  • Kaikai Liu

    (Institute of Human Geography and Urban-Rural Planning, Faculty of Geography science and Tourism Culture, Ningbo University, Ningbo 315211, China)

  • Chi Zhang

    (Institute of Human Geography and Urban-Rural Planning, Faculty of Geography science and Tourism Culture, Ningbo University, Ningbo 315211, China)

  • Lijian Xie

    (Institute of Human Geography and Urban-Rural Planning, Faculty of Geography science and Tourism Culture, Ningbo University, Ningbo 315211, China)

  • Xiaohe Wu

    (Nottingham University Business School, University of Nottingham Ningbo China, Ningbo 315000, China)

Abstract

Influenced by climate change, extreme weather events occur frequently, and bring huge impacts to urban areas, including urban waterlogging. Conducting risk assessments of urban waterlogging is a critical step to diagnose problems, improve infrastructure and achieve sustainable development facing extreme weathers. This study takes Ningbo, a typical coastal city in the Yangtze River Delta, as an example to conduct a risk assessment of urban waterlogging with high-resolution remote sensing images and high-precision digital elevation models to further analyze the spatial distribution characteristics of waterlogging risk. Results indicate that waterlogging risk in the city proper of Ningbo is mainly low risk, accounting for 36.9%. The higher-risk and medium-risk areas have the same proportions, accounting for 18.7%. They are followed by the lower-risk and high-risk areas, accounting for 15.5% and 9.6%, respectively. In terms of space, waterlogging risk in the city proper of Ningbo is high in the south and low in the north. The high-risk area is mainly located to the west of Jiangdong district and the middle of Haishu district. The low-risk area is mainly distributed in the north of Jiangbei district. These results are consistent with the historical situation of waterlogging in Ningbo, which prove the effectiveness of the risk assessment model and provide an important reference for the government to prevent and mitigate waterlogging. The optimized risk assessment model is also of importance for waterlogging risk assessments in coastal cities. Based on this model, the waterlogging risk of coastal cities can be quickly assessed, combining with local characteristics, which will help improve the city’s capability of responding to waterlogging disasters and reduce socio-economic loss.

Suggested Citation

  • Meiling Zhou & Xiuli Feng & Kaikai Liu & Chi Zhang & Lijian Xie & Xiaohe Wu, 2021. "An Alternative Risk Assessment Model of Urban Waterlogging: A Case Study of Ningbo City," Sustainability, MDPI, vol. 13(2), pages 1-20, January.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:2:p:826-:d:481164
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    References listed on IDEAS

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    1. Huafei Yu & Yaolong Zhao & Yingchun Fu & Le Li, 2018. "Spatiotemporal Variance Assessment of Urban Rainstorm Waterlogging Affected by Impervious Surface Expansion: A Case Study of Guangzhou, China," Sustainability, MDPI, vol. 10(10), pages 1-22, October.
    2. Zening Wu & Yanxia Shen & Huiliang Wang, 2019. "Assessing Urban Areas’ Vulnerability to Flood Disaster Based on Text Data: A Case Study in Zhengzhou City," Sustainability, MDPI, vol. 11(17), pages 1-15, August.
    3. Deepak Singh Bisht & Chandranath Chatterjee & Shivani Kalakoti & Pawan Upadhyay & Manaswinee Sahoo & Ambarnil Panda, 2016. "Modeling urban floods and drainage using SWMM and MIKE URBAN: a case study," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(2), pages 749-776, November.
    4. Yi Peng & Xinbing Gu & Xiaoting Zhu & Fuyin Zhang & Yan Song, 2020. "Recovery evaluation of villages reconstructed with concentrated rural settlement after the Wenchuan earthquake," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 104(1), pages 139-166, October.
    5. Hui Zhang & Jiong Cheng & Zhifeng Wu & Cheng Li & Jun Qin & Tong Liu, 2018. "Effects of Impervious Surface on the Spatial Distribution of Urban Waterlogging Risk Spots at Multiple Scales in Guangzhou, South China," Sustainability, MDPI, vol. 10(5), pages 1-20, May.
    6. Peng Cui & Dezhi Li, 2019. "Measuring the Disaster Resilience of an Urban Community Using ANP‐FCE Method from the Perspective of Capitals," Social Science Quarterly, Southwestern Social Science Association, vol. 100(6), pages 2059-2077, October.
    7. Yong Shi, 2012. "Risk analysis of rainstorm waterlogging on residences in Shanghai based on scenario simulation," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 62(2), pages 677-689, June.
    8. Jiayang Zhang & Yangbo Chen, 2019. "Risk Assessment of Flood Disaster Induced by Typhoon Rainstorms in Guangdong Province, China," Sustainability, MDPI, vol. 11(10), pages 1-20, May.
    9. A. Pandey & Suraj Singh & M. Nathawat, 2010. "Waterlogging and flood hazards vulnerability and risk assessment in Indo Gangetic plain," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 55(2), pages 273-289, November.
    10. Gerardo Benito & Michel Lang & Mariano Barriendos & M. Llasat & Felix Francés & Taha Ouarda & Varyl Thorndycraft & Yehouda Enzel & Andras Bardossy & Denis Coeur & Bernard Bobée, 2004. "Use of Systematic, Palaeoflood and Historical Data for the Improvement of Flood Risk Estimation. Review of Scientific Methods," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 31(3), pages 623-643, March.
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