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Enhancing the Urban Resilience to Flood Risk Through a Decision Support Tool for the LID-BMPs Optimal Design

Author

Listed:
  • Francesco Pugliese

    (University of Naples Federico II)

  • Carlo Gerundo

    (University of Naples Federico II)

  • Francesco Paola

    (University of Naples Federico II)

  • Gerardo Caroppi

    (Aalto University School of Engineering)

  • Maurizio Giugni

    (University of Naples Federico II)

Abstract

Urban areas are becoming increasingly susceptible to flooding because of high urbanization levels and changes in the precipitation patterns caused by climate change. The effective management of urban water drainage systems is particularly relevant to control and regulate the runoff impacts. Nevertheless, the mitigation of climate change effects and the adaptation to its impacts call for the implementation of new sustainable strategies and solutions. In this context, a key role can be played by Low Impact Development (LID) technologies of Best Management Practices (BMPs). Such innovative design approaches can lead to more sustainable and effective strategies for urban runoff control. In this paper, a methodology to increase the urban resilience to flooding risk through LID-BMPs is proposed and discussed. A tool for the optimal selection and design of different LID-BMPs is presented. The tool couples GIS processing with hydraulic simulations, constituting a Decision Support System (DSS) based on the meta-heuristic optimization algorithm Harmony Search (HS). The methodology was tested on the case study site of Soccavo, a suburban area in the Municipality of Naples (Italy). Several LID measures, including bio-retention systems, porous pavements, green roofs, were considered. Then, the effectiveness of combining LIDs with grey solutions to carry out hybrid solutions was also assessed. Results showed the capability of the proposed approach in detecting technically and economically viable solutions.

Suggested Citation

  • Francesco Pugliese & Carlo Gerundo & Francesco Paola & Gerardo Caroppi & Maurizio Giugni, 2022. "Enhancing the Urban Resilience to Flood Risk Through a Decision Support Tool for the LID-BMPs Optimal Design," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(14), pages 5633-5654, November.
    • Handle: RePEc:spr:waterr:v:36:y:2022:i:14:d:10.1007_s11269-022-03322-x
    DOI: 10.1007/s11269-022-03322-x
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    References listed on IDEAS

    as
    1. Pignalosa, Antonio & Silvestri, Nicola & Pugliese, Francesco & Corniello, Alfonso & Gerundo, Carlo & Del Seppia, Nicola & Lucchesi, Massimo & Coscini, Nicola & De Paola, Francesco & Giugni, Maurizio, 2022. "Long-term simulations of Nature-Based Solutions effects on runoff and soil losses in a flat agricultural area within the catchment of Lake Massaciuccoli (Central Italy)," Agricultural Water Management, Elsevier, vol. 273(C).
    2. Sarah Fletcher & Megan Lickley & Kenneth Strzepek, 2019. "Learning about climate change uncertainty enables flexible water infrastructure planning," Nature Communications, Nature, vol. 10(1), pages 1-11, December.
    3. Miranda A. Schreurs & Yves Tiberghien, 2007. "Multi-Level Reinforcement: Explaining European Union Leadership in Climate Change Mitigation," Global Environmental Politics, MIT Press, vol. 7(4), pages 19-46, November.
    4. F. Paola & M. Giugni & F. Pugliese & P. Romano, 2018. "Optimal Design of LIDs in Urban Stormwater Systems Using a Harmony-Search Decision Support System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(15), pages 4933-4951, December.
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    Cited by:

    1. Jiake Li & Jiayu Gao & Ning Li & Yutong Yao & Yishuo Jiang, 2023. "Risk Assessment and Management Method of Urban Flood Disaster," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(5), pages 2001-2018, March.
    2. Jiachang Wang & Jun Wang & Shengle Cao & Chuanqi Li & Shouhong Zhang & Yiping Guo, 2024. "A Framework for Quantifying Stormwater Control Measures’ Hydrologic Performance with Analytical Stochastic Models," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(13), pages 5385-5402, October.

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