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Urban Green Space Arrangement for an Optimal Landscape Planning Strategy for Runoff Reduction

Author

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  • Byungsun Yang

    (Korea Institute of Civil Engineering and Building Technology, Goyang-si 10223, Korea)

  • Dongkun Lee

    (Research Institute of Agriculture and Life Sciences, Seoul National University, Seoul 08826, Korea
    Department of Landscape Architecture and Rural System Engineering, Seoul National University, Seoul 08826, Korea)

Abstract

Increased impervious surfaces due to urbanization have reduced evaporation and infiltration into the soil compared with existing natural water cycle systems, which causes various problems, such as urban floods, landslides, and deterioration of water quality. To effectively solve the urban water cycle issue, green infrastructure using urban green space has emerged to reduce runoff and increase evaporation. It has the advantage of restoring the water cycle system of urban areas by complementing the failure of conventional stormwater treatment systems. However, urban areas under high-density development have limited green space for stormwater treatment. Hence, it is necessary to efficiently utilize street trees and small green spaces to improve the urban water cycle through green space. In this study, we simulated different green space distribution scenarios in the virtual domain to find the optimal strategy of green space planning. Compared to clustered scenarios, dispersed green space distribution scenarios and placing green space downstream were more effective in reducing the runoff amount. The paper provides insights into the considerations for determining green space spatial plan and zoning regulations for stormwater treatment by green infrastructure.

Suggested Citation

  • Byungsun Yang & Dongkun Lee, 2021. "Urban Green Space Arrangement for an Optimal Landscape Planning Strategy for Runoff Reduction," Land, MDPI, vol. 10(9), pages 1-12, August.
    • Handle: RePEc:gam:jlands:v:10:y:2021:i:9:p:897-:d:621912
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    References listed on IDEAS

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    2. Dong, Yuxiang & Liu, Song & Pei, Xinsheng & Wang, Ying, 2025. "Spatially explicit multi-objective optimization tool for green infrastructure planning based on InVEST and NSGA-II towards multifunctionality," Land Use Policy, Elsevier, vol. 150(C).
    3. Stefano Salata & Bertan Arslan, 2022. "Designing with Ecosystem Modelling: The Sponge District Application in İzmir, Turkey," Sustainability, MDPI, vol. 14(6), pages 1-26, March.
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