IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v111y2022i1d10.1007_s11069-021-05072-2.html
   My bibliography  Save this article

Permeability control and flood risk assessment of urban underlying surface: a case study of Runcheng south area, Kunming

Author

Listed:
  • Tong Xu

    (Yunnan University)

  • Zhiqiang Xie

    (Yunnan University)

  • Fei Zhao

    (Yunnan University)

  • Yimin Li

    (Yunnan University)

  • Shouquan Yang

    (Yunnan University)

  • Yangbin Zhang

    (Yunnan University)

  • Siqiao Yin

    (Yunnan University)

  • Shi Chen

    (Kunming Dianchi Investment Co., Ltd)

  • Xuan Li

    (Kunming Drainage Facilities Management Co., Ltd)

  • Sidong Zhao

    (Kunming Drainage Facilities Management Co., Ltd)

  • Zhiqun Hou

    (Kunming Urban Underground Space Planning and Management Office)

Abstract

Because of climate change and rapid urbanization, urban impervious underlying surfaces have expanded, causing Chinese cities to become strongly affected by flood disasters. Therefore, research on urban flood risks has greatly increased over the past decade, with studies focusing on reducing the risk of flood disaster. From 2012 to 2020, the impervious underlying surface has increased, and the permeable underlying surface has decreased annually in Kunming City. This study was conducted to investigate the impact of continuous changes in the urban underlying surface on flood disasters in the Runcheng area south of Kunming City from 2012 to 2020. We constructed a two-dimensional flood model to conduct flood simulations and flood risk analysis for this area. The relationship between the permeability of the underlying surface and urban flood risk was simulated and analyzed by varying the urban underlying surface permeability (0–60%). The simulation results show that the model can accurately simulate urban waterlogging, and the increase in urban waterlogging risk is related to the underlying surface permeability. Urban flood risk decreases with the increase in permeable underlying surface. The increase rate of flood risk in the part with permeability of 0–35% is greater than that the part with permeability of 35–60%, that is, when the permeability of underlying surface is lower than 35%, the flood risk rate will be higher. We demonstrated the impact of the urban underlying surface permeability on the risk of urban flood disasters, which is useful for urban planning decisions and urban flooding risk controls.

Suggested Citation

  • Tong Xu & Zhiqiang Xie & Fei Zhao & Yimin Li & Shouquan Yang & Yangbin Zhang & Siqiao Yin & Shi Chen & Xuan Li & Sidong Zhao & Zhiqun Hou, 2022. "Permeability control and flood risk assessment of urban underlying surface: a case study of Runcheng south area, Kunming," 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. 111(1), pages 661-686, March.
  • Handle: RePEc:spr:nathaz:v:111:y:2022:i:1:d:10.1007_s11069-021-05072-2
    DOI: 10.1007/s11069-021-05072-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-021-05072-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11069-021-05072-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. Rui-Song Quan, 2014. "Rainstorm waterlogging risk assessment in central urban area of Shanghai based on multiple 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. 73(3), pages 1569-1585, September.
    3. Wenchao Qi & Chao Ma & Hongshi Xu & Zifan Chen & Kai Zhao & Hao Han, 2021. "A review on applications of urban flood models in flood mitigation strategies," 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. 108(1), pages 31-62, August.
    4. Shanshan Hu & Xiangjun Cheng & Demin Zhou & Hong Zhang, 2017. "GIS-based flood risk assessment in suburban areas: a case study of the Fangshan District, Beijing," 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. 87(3), pages 1525-1543, July.
    5. Xianhong Meng & Min Zhang & Jiahong Wen & Shiqiang Du & Hui Xu & Luyang Wang & Yan Yang, 2019. "A Simple GIS-Based Model for Urban Rainstorm Inundation Simulation," Sustainability, MDPI, vol. 11(10), pages 1-19, May.
    6. Minmin Huang & Shuanggen Jin, 2019. "A methodology for simple 2-D inundation analysis in urban area using SWMM and GIS," 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. 97(1), pages 15-43, May.
    7. Tao Cheng & Zongxue Xu & Siyang Hong & Sulin Song, 2017. "Flood Risk Zoning by Using 2D Hydrodynamic Modeling: A Case Study in Jinan City," Mathematical Problems in Engineering, Hindawi, vol. 2017, pages 1-8, October.
    8. 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.
    9. Boyu Feng & Ying Zhang & Robin Bourke, 2021. "Urbanization impacts on flood risks based on urban growth data and coupled flood models," 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. 106(1), pages 613-627, March.
    10. 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.
    11. Subhankar Chakraborty & Sutapa Mukhopadhyay, 2019. "Assessing flood risk using analytical hierarchy process (AHP) and geographical information system (GIS): application in Coochbehar district of West Bengal, India," 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. 99(1), pages 247-274, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yanbo Duan & Yu Gary Gao & Yusen Zhang & Huawei Li & Zhonghui Li & Ziying Zhou & Guohang Tian & Yakai Lei, 2022. "“The 20 July 2021 Major Flood Event” in Greater Zhengzhou, China: A Case Study of Flooding Severity and Landscape Characteristics," Land, MDPI, vol. 11(11), pages 1-23, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Luoyang Wang & Yao Li & Hao Hou & Yan Chen & Jinjin Fan & Pin Wang & Tangao Hu, 2022. "Analyzing spatial variance of urban waterlogging disaster at multiple scales based on a hydrological and hydrodynamic model," 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. 114(2), pages 1915-1938, November.
    2. 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.
    3. Huaibin Wei & Liyuan Zhang & Jing Liu, 2022. "Hydrodynamic Modelling and Flood Risk Analysis of Urban Catchments under Multiple Scenarios: A Case Study of Dongfeng Canal District, Zhengzhou," IJERPH, MDPI, vol. 19(22), pages 1-18, November.
    4. Shuang Liu & Rui Liu & Nengzhi Tan, 2021. "A Spatial Improved-kNN-Based Flood Inundation Risk Framework for Urban Tourism under Two Rainfall Scenarios," Sustainability, MDPI, vol. 13(5), pages 1-18, March.
    5. Yinhong Hu & Weiwei Yu & Bowen Cui & Yuanyuan Chen & Hua Zheng & Xiaoke Wang, 2021. "Pavement Overrides the Effects of Tree Species on Soil Bacterial Communities," IJERPH, MDPI, vol. 18(4), pages 1-11, February.
    6. Gean Carlos Gonzaga da Silva & Priscila Celebrini de Oliveira Campos & Marcelo de Miranda Reis & Igor Paz, 2023. "Spatiotemporal Land Use and Land Cover Changes and Associated Runoff Impact in Itaperuna, Brazil," Sustainability, MDPI, vol. 16(1), pages 1-19, December.
    7. Seon Woo Kim & Soon Ho Kwon & Donghwi Jung, 2022. "Development of a Multiobjective Automatic Parameter-Calibration Framework for Urban Drainage Systems," Sustainability, MDPI, vol. 14(14), pages 1-16, July.
    8. Tian Liu & Peijun Shi & Jian Fang, 2022. "Spatiotemporal variation in global floods with different affected areas and the contribution of influencing factors to flood-induced mortality (1985–2019)," 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. 111(3), pages 2601-2625, April.
    9. Huafei Yu & Yaolong Zhao & Yingchun Fu, 2019. "Optimization of Impervious Surface Space Layout for Prevention of Urban Rainstorm Waterlogging: A Case Study of Guangzhou, China," IJERPH, MDPI, vol. 16(19), pages 1-28, September.
    10. Rui-Song Quan, 2014. "Rainstorm waterlogging risk assessment in central urban area of Shanghai based on multiple 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. 73(3), pages 1569-1585, September.
    11. Yashar Dadrasajirlou & Hojat Karami & Seyedali Mirjalili, 2023. "Using AHP-PROMOTHEE for Selection of Best Low-Impact Development Designs for Urban Flood Mitigation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(1), pages 375-402, January.
    12. Aboubakar Gasirabo & Chen Xi & Baligira R. Hamad & Umwali Dufatanye Edovia, 2023. "A CA–Markov-Based Simulation and Prediction of LULC Changes over the Nyabarongo River Basin, Rwanda," Land, MDPI, vol. 12(9), pages 1-20, September.
    13. Samith Madusanka & Chethika Abenayake & Amila Jayasinghe & Chaminda Perera, 2022. "A Decision-Making Tool for Urban Planners: A Framework to Model the Interdependency among Land Use, Accessibility, Density, and Surface Runoff in Urban Areas," Sustainability, MDPI, vol. 14(1), pages 1-19, January.
    14. Fabio Cian & Carlo Giupponi & Mattia Marconcini, 2021. "Integration of earth observation and census data for mapping a multi-temporal flood vulnerability index: a case study on Northeast Italy," 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. 106(3), pages 2163-2184, April.
    15. Jingyi Gao & Osamu Murao & Xuanda Pei & Yitong Dong, 2022. "Identifying Evacuation Needs and Resources Based on Volunteered Geographic Information: A Case of the Rainstorm in July 2021, Zhengzhou, China," IJERPH, MDPI, vol. 19(23), pages 1-21, November.
    16. Engdawork Assefa, 2024. "Urban Land Use Trend and Drivers over the Last Three Decades in Addis Ababa and Impacts to the Sustainable Land Management," Journal of Sustainable Development, Canadian Center of Science and Education, vol. 17(1), pages 119-119, January.
    17. Xiaoli Du & Mingzhe Yang & Zijie Yin & Xing Fang, 2023. "Influence of Initial Abstraction Ratios in NRCS-CN Model on Runoff Estimation of Permeable Brick Pavement Affected by Clogging," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(8), pages 3211-3225, June.
    18. Linhan Yang & Jianzhu Li & Aiqing Kang & Shuai Li & Ping Feng, 2020. "The Effect of Nonstationarity in Rainfall on Urban Flooding Based on Coupling SWMM and MIKE21," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(4), pages 1535-1551, March.
    19. Cailin Li & Na Sun & Yihui Lu & Baoyun Guo & Yue Wang & Xiaokai Sun & Yukai Yao, 2022. "Review on Urban Flood Risk Assessment," Sustainability, MDPI, vol. 15(1), pages 1-24, December.
    20. Ana Luiza Melo Rodrigues & Demetrius David Silva & Frederico Carlos Martins Menezes Filho, 2021. "Methodology for Allocation of Best Management Practices Integrated with the Urban Landscape," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(4), pages 1353-1371, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:nathaz:v:111:y:2022:i:1:d:10.1007_s11069-021-05072-2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.