IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i12p7210-d837140.html
   My bibliography  Save this article

Urban Inundation under Different Rainstorm Scenarios in Lin’an City, China

Author

Listed:
  • Yan Chen

    (Institute of Remote Sensing and Geosciences, Hangzhou Normal University, Hangzhou 311121, China
    Zhejiang Provincial Key Laboratory of Urban Wetlands and Regional Change, Hangzhou 311121, China)

  • Hao Hou

    (Institute of Remote Sensing and Geosciences, Hangzhou Normal University, Hangzhou 311121, China
    Zhejiang Provincial Key Laboratory of Urban Wetlands and Regional Change, Hangzhou 311121, China)

  • Yao Li

    (Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, 7500 AE Enschede, The Netherlands)

  • Luoyang Wang

    (Institute of Remote Sensing and Geosciences, Hangzhou Normal University, Hangzhou 311121, China
    Zhejiang Provincial Key Laboratory of Urban Wetlands and Regional Change, Hangzhou 311121, China)

  • Jinjin Fan

    (Institute of Remote Sensing and Geosciences, Hangzhou Normal University, Hangzhou 311121, China
    Zhejiang Provincial Key Laboratory of Urban Wetlands and Regional Change, Hangzhou 311121, China)

  • Ben Wang

    (Institute of Remote Sensing and Geosciences, Hangzhou Normal University, Hangzhou 311121, China
    Zhejiang Provincial Key Laboratory of Urban Wetlands and Regional Change, Hangzhou 311121, China)

  • Tangao Hu

    (Institute of Remote Sensing and Geosciences, Hangzhou Normal University, Hangzhou 311121, China
    Zhejiang Provincial Key Laboratory of Urban Wetlands and Regional Change, Hangzhou 311121, China)

Abstract

Under the circumstances of global warming and rapid urbanization, damage caused by urban inundation are becoming increasingly severe, attracting the attention of both researchers and governors. The accurate simulation of urban inundation is essential for the prevention of inundation hazards. In this study, a 1D pipe network and a 2D urban inundation coupling model constructed by InfoWorks ICM was used to simulate the inundation conditions in the typical urbanized area in the north of Lin’an. Two historical rainfall events in 2020 were utilized to verify the modeling results. The spatial–temporal variation and the causes of urban inundation under different designed rainfalls were studied. The results were as follows: (1) The constructed model had a good simulation accuracy, the Nash–Sutcliffe efficiency coefficient was higher than 0.82, R 2 was higher than 0.87, and the relative error was ±20%. (2) The simulation results of different designed rainfall scenarios indicated that the maximum inundation depth and inundation extent increased with the increase in the return period, rainfall peak position coefficient, and rainfall duration. According to the analysis results, the urban inundation in Lin’an is mainly affected by topography, drainage network (spatial distribution and pipe diameter), and rainfall patterns. The results are supposed to provide technical support and a decision-making reference for the urban management department of Lin’an to design inundation prevention measures.

Suggested Citation

  • Yan Chen & Hao Hou & Yao Li & Luoyang Wang & Jinjin Fan & Ben Wang & Tangao Hu, 2022. "Urban Inundation under Different Rainstorm Scenarios in Lin’an City, China," IJERPH, MDPI, vol. 19(12), pages 1-18, June.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:12:p:7210-:d:837140
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/12/7210/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/12/7210/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Feng Kong & Shao Sun, 2021. "Better Understanding Insurance Mechanism in Dealing with Climate Change Risk, with Special Reference to China," IJERPH, MDPI, vol. 18(6), pages 1-14, March.
    2. Yongwei Gong & Xiaoning Li & Dandan Zhai & Dingkun Yin & Ruining Song & Junqi Li & Xing Fang & Donghai Yuan, 2018. "Influence of Rainfall, Model Parameters and Routing Methods on Stormwater Modelling," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(2), pages 735-750, January.
    3. Maomao Zhang & Weigang Chen & Kui Cai & Xin Gao & Xuesong Zhang & Jinxiang Liu & Zhiyuan Wang & Deshou Li, 2019. "Analysis of the Spatial Distribution Characteristics of Urban Resilience and Its Influencing Factors: A Case Study of 56 Cities in China," IJERPH, MDPI, vol. 16(22), pages 1-22, November.
    4. Dibyendu Samantaray & Chandranath Chatterjee & Rajendra Singh & Praveen Gupta & Sushma Panigrahy, 2015. "Flood risk modeling for optimal rice planning for delta region of Mahanadi river basin in 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. 76(1), pages 347-372, March.
    5. G. Papaioannou & A. Loukas & L. Vasiliades & G. T. Aronica, 2016. "Flood inundation mapping sensitivity to riverine spatial resolution and modelling approach," 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. 83(1), pages 117-132, October.
    6. Jie Yin & Dapeng Yu & Zhane Yin & Jun Wang & Shiyuan Xu, 2013. "Multiple scenario analyses of Huangpu River flooding using a 1D/2D coupled flood inundation 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. 66(2), pages 577-589, March.
    7. Yuk San Liew & Safari Mat Desa & Md. Nasir Md. Noh & Mou Leong Tan & Nor Azazi Zakaria & Chun Kiat Chang, 2021. "Assessing the Effectiveness of Mitigation Strategies for Flood Risk Reduction in the Segamat River Basin, Malaysia," Sustainability, MDPI, vol. 13(6), pages 1-23, March.
    8. Weiwei Jiang & Jingshan Yu, 2022. "Impact of rainstorm patterns on the urban flood process superimposed by flash floods and urban waterlogging based on a coupled hydrologic–hydraulic model: a case study in a coastal mountainous river b," 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. 112(1), pages 301-326, May.
    Full references (including those not matched with items on IDEAS)

    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. Neslihan Beden & Asli Ulke Keskin, 2021. "Flood map production and evaluation of flood risks in situations of insufficient flow data," 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. 105(3), pages 2381-2408, February.
    2. P. V. Timbadiya & K. M. Krishnamraju, 2023. "A 2D hydrodynamic model for river flood prediction in a coastal floodplain," 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. 115(2), pages 1143-1165, January.
    3. Emrah Yalcin, 2020. "Assessing the impact of topography and land cover data resolutions on two-dimensional HEC-RAS hydrodynamic model simulations for urban flood hazard analysis," 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. 101(3), pages 995-1017, April.
    4. Jorge Salas & Víctor Yepes, 2020. "Enhancing Sustainability and Resilience through Multi-Level Infrastructure Planning," IJERPH, MDPI, vol. 17(3), pages 1-22, February.
    5. Liudan Jiao & Bowei Han & Qilin Tan & Yu Zhang & Xiaosen Huo & Liu Wu & Ya Wu, 2024. "An Improved DPSIR-DEA Assessment Model for Urban Resilience: A Case Study of 105 Large Cities in China," Land, MDPI, vol. 13(8), pages 1-23, July.
    6. Chaowei Xu & Hao Fu & Jiashuai Yang & Lingyue Wang, 2022. "Assessment of the Relationship between Land Use and Flood Risk Based on a Coupled Hydrological–Hydraulic Model: A Case Study of Zhaojue River Basin in Southwestern China," Land, MDPI, vol. 11(8), pages 1-24, July.
    7. Huili Chen & Zhongyao Liang & Yong Liu & Qingsong Jiang & Shuguang Xie, 2018. "Effects of drought and flood on crop production in China across 1949–2015: spatial heterogeneity analysis with Bayesian hierarchical modeling," 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. 92(1), pages 525-541, May.
    8. Sitong Yang & Shouwei Li & Xue Rui & Tianxiang Zhao, 2024. "The impact of climate risk on the asset side and liability side of the insurance industry: evidence from China," Economic Change and Restructuring, Springer, vol. 57(3), pages 1-51, June.
    9. Feng Kong & Yifei Wang, 2022. "Better understanding of climate catastrophe insurance in China: issues and opportunities, international insights, and directions for development," 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(3), pages 2969-2990, December.
    10. Alaa Ahmed & Guna Hewa & Abdullah Alrajhi, 2021. "Flood susceptibility mapping using a geomorphometric approach in South Australian basins," 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 629-653, March.
    11. Maomao Zhang & Abdulla-Al Kafy & Bing Ren & Yanwei Zhang & Shukui Tan & Jianxing Li, 2022. "Application of the Optimal Parameter Geographic Detector Model in the Identification of Influencing Factors of Ecological Quality in Guangzhou, China," Land, MDPI, vol. 11(8), pages 1-20, August.
    12. Md Shahinoor Rahman & Liping Di, 2020. "A Systematic Review on Case Studies of Remote-Sensing-Based Flood Crop Loss Assessment," Agriculture, MDPI, vol. 10(4), pages 1-30, April.
    13. Dongling Ma & Yuhan Li & Qingji Huang & Baoze Liu, 2023. "Analysis of Spatio-Temporal Evolution of Regional Settlements under the Background of Rapid Urbanization: A Case Study in Sishui County, China," Sustainability, MDPI, vol. 15(9), pages 1-29, April.
    14. Hui Xu & Yang Li & Lin Wang, 2020. "Resilience Assessment of Complex Urban Public Spaces," IJERPH, MDPI, vol. 17(2), pages 1-21, January.
    15. H. Zaifoglu & A. M. Yanmaz & B. Akintug, 2019. "Developing flood mitigation measures for the northern part of Nicosia," 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. 98(2), pages 535-557, September.
    16. Nikunj K. Mangukiya & Ashutosh Sharma, 2022. "Flood risk mapping for the lower Narmada basin in India: a machine learning and IoT-based framework," 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. 113(2), pages 1285-1304, September.
    17. Prachi Pratyasha Jena & Banamali Panigrahi & Chandranath Chatterjee, 2016. "Assessment of Cartosat-1 DEM for Modeling Floods in Data Scarce Regions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(3), pages 1293-1309, February.
    18. Hui Zhang & Xizhong Shen & Yuan Yuan, 2023. "Flood Influence Characteristics of Rail Transit Engineering of Tunnel, Viaduct, and Roadbed through Urban Flood Detention Areas," Sustainability, MDPI, vol. 15(9), pages 1-28, April.
    19. G. Papaioannou & A. Loukas & L. Vasiliades & G. T. Aronica, 2016. "Flood inundation mapping sensitivity to riverine spatial resolution and modelling approach," 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. 83(1), pages 117-132, October.
    20. Wenqing Song & Shizhuo Wang & Jiang Zhao & Shiliang Xu & Xuefei Zhou & Yalei Zhang, 2023. "Comprehensive Treatment for River Pollution in a Coastal City with a Complex River Network: A Case Study in Sanya, China," Sustainability, MDPI, vol. 15(8), pages 1-15, April.

    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:gam:jijerp:v:19:y:2022:i:12:p:7210-:d:837140. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.