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Exploring the Optimal Cost-Benefit Solution for a Low Impact Development Layout by Zoning, as Well as Considering the Inundation Duration and Inundation Depth

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  • Jiansheng Wu

    (Key Laboratory for Urban Habitat Environmental Science and Technology, School of Urban Planning and Design, Peking University, Shenzhen 518055, China
    Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China)

  • Ying Chen

    (Key Laboratory for Urban Habitat Environmental Science and Technology, School of Urban Planning and Design, Peking University, Shenzhen 518055, China)

  • Rui Yang

    (Key Laboratory for Urban Habitat Environmental Science and Technology, School of Urban Planning and Design, Peking University, Shenzhen 518055, China)

  • Yuhao Zhao

    (Key Laboratory for Urban Habitat Environmental Science and Technology, School of Urban Planning and Design, Peking University, Shenzhen 518055, China
    Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China)

Abstract

Urban flooding now occurs frequently and low impact development (LID) has been widely implemented as an effective resilience strategy to improve storm water management. This study constructed the inundation curve to dynamically simulate the disaster, and established an inundation severity indicator (ISI) and cost-effectiveness indicator (CEI) to quantify the severity and cost effectiveness at each site. The study set 10 different density scenarios using a zonal approach. The results showed that LID could reduce the overall ISI value, but as the construction increased, the CEI exhibited a downward trend, showing that there is a marginal utility problem in LID. However, the performance of CEI differed slightly in areas of different severity. In the vulnerable resilience zone, the CEI increased initially and then decreased, and the optimal cost–benefit combination was 60% permeable pavement +20% green roof +50% vegetative swale. The mutual effects of LID measures in different zones led to synergistic or antagonistic effects on LID. This study explored the tradeoff between the resilience enhancement effect and strategy transformation cost, and determined the optimal combination of the LID strategy, thereby providing a new analytical perspective for the sustainable development of sponge cities.

Suggested Citation

  • Jiansheng Wu & Ying Chen & Rui Yang & Yuhao Zhao, 2020. "Exploring the Optimal Cost-Benefit Solution for a Low Impact Development Layout by Zoning, as Well as Considering the Inundation Duration and Inundation Depth," Sustainability, MDPI, vol. 12(12), pages 1-21, June.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:12:p:4990-:d:373276
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    References listed on IDEAS

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    1. Nurmi, Väinö & Ahtiainen, Heini, 2018. "Distributional Weights in Environmental Valuation and Cost-benefit Analysis: Theory and Practice," Ecological Economics, Elsevier, vol. 150(C), pages 217-228.
    2. Erle Kristvik & Birgitte Gisvold Johannessen & Tone Merete Muthanna, 2019. "Temporal Downscaling of IDF Curves Applied to Future Performance of Local Stormwater Measures," Sustainability, MDPI, vol. 11(5), pages 1-24, February.
    3. Johannes Leimgruber & Gerald Krebs & David Camhy & Dirk Muschalla, 2019. "Model-Based Selection of Cost-Effective Low Impact Development Strategies to Control Water Balance," Sustainability, MDPI, vol. 11(8), pages 1-20, April.
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    Cited by:

    1. Mariusz Starzec & Józef Dziopak, 2020. "A Case Study of the Retention Efficiency of a Traditional and Innovative Drainage System," Resources, MDPI, vol. 9(9), pages 1-19, September.
    2. Peng Gao & Wei Gao & Nan Ke, 2021. "Assessing the impact of flood inundation dynamics on an urban environment," 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. 109(1), pages 1047-1072, October.

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