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Low Impact Development Measures Spatial Arrangement for Urban Flood Mitigation: An Exploratory Optimal Framework based on Source Tracking

Author

Listed:
  • Wenchao Qi

    (Tianjin University
    Tianjin University)

  • Chao Ma

    (Tianjin University
    Tianjin University)

  • Hongshi Xu

    (Zhengzhou University)

  • Zifan Chen

    (Tianjin University
    Tianjin University)

  • Kai Zhao

    (Tianjin University
    Tianjin University)

  • Hao Han

    (Xi’an University of Technology)

Abstract

Urban areas are vulnerable to flooding as a result of climate change and rapid urbanization and thus flood losses are becoming increasingly severe. Low impact development (LID) measures are a storm management technique designed for controlling runoff in urban areas, which is critical for solving urban flood hazard. Therefore, this study developed an exploratory simulation–optimization framework for the spatial arrangement of LID measures. The proposed framework begins by applying a numerical model to simulate hydrological and hydrodynamic processes during a storm event, and the urban flood model coupled with the source tracking method was then used to identify the flood source areas. Next, based on source tracking data, the LID investment in each catchment was determined using the inundation volume contribution ratio of the flood source area (where most of the investment is required) to the flood hazard area (where most of the flooding occurs). Finally, the resiliency and sustainability of different LID scenarios were evaluated using several different storm events in order to provide suggestions for flooding prediction and the decision-making process. The results of this study emphasized the importance of flood source control. Furthermore, to quantitatively evaluate the impact of inundation volume transport between catchments on the effectiveness of LID measures, a regional relevance index (RI) was proposed to analyze the spatial connectivity between different regions. The simulation–optimization framework was applied to Haikou City, China, wherein the results indicated that LID measures in a spatial arrangement based on the source tracking method are a robust and resilient solution to flood mitigation. This study demonstrates the novelty of combining the source tracking method and highlights the spatial connectivity between flood source areas and flood hazard areas.

Suggested Citation

  • Wenchao Qi & Chao Ma & Hongshi Xu & Zifan Chen & Kai Zhao & Hao Han, 2021. "Low Impact Development Measures Spatial Arrangement for Urban Flood Mitigation: An Exploratory Optimal Framework based on Source Tracking," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(11), pages 3755-3770, September.
    • Handle: RePEc:spr:waterr:v:35:y:2021:i:11:d:10.1007_s11269-021-02915-2
    DOI: 10.1007/s11269-021-02915-2
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    References listed on IDEAS

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    1. Jun-Hyun Kim & Hwan Yong Kim & Fabiana Demarie, 2017. "Facilitators and Barriers of Applying Low Impact Development Practices in Urban Development," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(12), pages 3795-3808, September.
    2. Huan-Feng Duan & Fei Li & Hexiang Yan, 2016. "Multi-Objective Optimal Design of Detention Tanks in the Urban Stormwater Drainage System: LID Implementation and Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(13), pages 4635-4648, October.
    3. Hessel C. Winsemius & Jeroen C. J. H. Aerts & Ludovicus P. H. van Beek & Marc F. P. Bierkens & Arno Bouwman & Brenden Jongman & Jaap C. J. Kwadijk & Willem Ligtvoet & Paul L. Lucas & Detlef P. van Vuu, 2016. "Global drivers of future river flood risk," Nature Climate Change, Nature, vol. 6(4), pages 381-385, April.
    4. Jiake Li & Chenning Deng & Ya Li & Yajiao Li & Jinxi Song, 2017. "Comprehensive Benefit Evaluation System for Low-Impact Development of Urban Stormwater Management Measures," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(15), pages 4745-4758, December.
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    1. Seung Taek Chae & Eun-Sung Chung & Jiping Jiang, 2022. "Robust Siting of Permeable Pavement in Highly Urbanized Watersheds Considering Climate Change Using a Combination of Fuzzy-TOPSIS and the VIKOR Method," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(3), pages 951-969, February.
    2. Xinghua Wang & Jingming Hou & Donglai Li & Bingyao Li & Xujun Gao & Yuan Liu, 2022. "A Coupled Hydrodynamic and Rainfall-tracking Model for Source-to-impact Analysis in Urban Inundation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(14), pages 5581-5598, November.
    3. Donglai Li & Jingming Hou & Yangwei Zhang & Minpeng Guo & Dawei Zhang, 2022. "Influence of Time Step Synchronization on Urban Rainfall-Runoff Simulation in a Hybrid CPU/GPU 1D-2D Coupled Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(10), pages 3417-3433, August.
    4. Chao Ma & Wenchao Qi & Hongshi Xu & Kai Zhao, 2022. "An integrated quantitative framework to assess the impacts of disaster-inducing factors on causing urban flood," 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(3), pages 1903-1924, September.
    5. Hongfa Wang & Xinjian Guan & Yu Meng & Zening Wu & Kun Wang & Huiliang Wang, 2023. "Coupling Time and Non-Time Series Models to Simulate the Flood Depth at Urban Flooded Area," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(3), pages 1275-1295, February.
    6. Husnain Tansar & Huan-Feng Duan & Ole Mark, 2022. "Catchment-Scale and Local-Scale Based Evaluation of LID Effectiveness on Urban Drainage System Performance," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(2), pages 507-526, January.
    7. Hongshi Xu & Kui Xu & Tianye Wang & Wanjie Xue, 2022. "Investigating Flood Risks of Rainfall and Storm Tides Affected by the Parameter Estimation Coupling Bivariate Statistics and Hydrodynamic Models in the Coastal City," IJERPH, MDPI, vol. 19(19), pages 1-18, October.

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