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Highly Resolved Rainfall-Runoff Simulation of Retrofitted Green Stormwater Infrastructure at the Micro-Watershed Scale

Author

Listed:
  • Sami Towsif Khan

    (SEE-URBAN-WATER Research Group, Section of Ecological Engineering, Institute of Applied Geosciences, Technical University of Darmstadt, Schnittspahnstraße 9, 64287 Darmstadt, Germany)

  • Fernando Chapa

    (SEE-URBAN-WATER Research Group, Section of Ecological Engineering, Institute of Applied Geosciences, Technical University of Darmstadt, Schnittspahnstraße 9, 64287 Darmstadt, Germany)

  • Jochen Hack

    (SEE-URBAN-WATER Research Group, Section of Ecological Engineering, Institute of Applied Geosciences, Technical University of Darmstadt, Schnittspahnstraße 9, 64287 Darmstadt, Germany)

Abstract

Green Stormwater Infrastructure (GSI), a sustainable engineering design approach for managing urban stormwater runoff, has long been recommended as an alternative to conventional conveyance-based stormwater management strategies to mitigate the adverse impact of sprawling urbanization. Hydrological and hydraulic simulations of small-scale GSI measures in densely urbanized micro watersheds require high-resolution spatial databases of urban land use, stormwater structures, and topography. This study presents a highly resolved Storm Water Management Model developed under considerable spatial data constraints. It evaluates the cumulative effect of the implementation of dispersed, retrofitted, small-scale GSI measures in a heavily urbanized micro watershed of Costa Rica. Our methodology includes a high-resolution digital elevation model based on Google Earth information, the accuracy of which was sufficient to determine flow patterns and slopes, as well as to approximate the underground stormwater structures. The model produced satisfactory results in event-based calibration and validation, which ensured the reliability of the data collection procedure. Simulating the implementation of GSI shows that dispersed, retrofitted, small-scale measures could significantly reduce impermeable surface runoff (peak runoff reduction up to 40%) during frequent, less intense storm events and delay peak surface runoff by 5–10 min. The presented approach can benefit stormwater practitioners and modelers conducting small scale hydrological simulation under spatial data constraint.

Suggested Citation

  • Sami Towsif Khan & Fernando Chapa & Jochen Hack, 2020. "Highly Resolved Rainfall-Runoff Simulation of Retrofitted Green Stormwater Infrastructure at the Micro-Watershed Scale," Land, MDPI, vol. 9(9), pages 1-18, September.
    • Handle: RePEc:gam:jlands:v:9:y:2020:i:9:p:339-:d:417541
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    References listed on IDEAS

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    1. Manasvini Thiagarajan & Galen Newman & Shannon Van Zandt, 2018. "The Projected Impact of a Neighborhood-Scaled Green-Infrastructure Retrofit," Sustainability, MDPI, vol. 10(10), pages 1-13, October.
    2. Veronica Alejandra Neumann & Jochen Hack, 2019. "A Methodology of Policy Assessment at the Municipal Level: Costa Rica´s Readiness for the Implementation of Nature-Based-Solutions for Urban Stormwater Management," Sustainability, MDPI, vol. 12(1), pages 1-38, December.
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    Cited by:

    1. Dongwoo Lee & Kyushik Oh & Jungeun Suh, 2022. "Diagnosis and Prioritization of Vulnerable Areas of Urban Ecosystem Regulation Services," Land, MDPI, vol. 11(10), pages 1-22, October.
    2. Sanja Gašparović & Ana Sopina & Anton Zeneral, 2022. "Impacts of Zagreb’s Urban Development on Dynamic Changes in Stream Landscapes from Mid-Twentieth Century," Land, MDPI, vol. 11(5), pages 1-25, May.
    3. Balázs Víg & Szabolcs Ákos Fábian & Szabolcs Czigány & Ervin Pirkhoffer & Ákos Halmai & István Péter Kovács & Gábor Varga & József Dezső & Gábor Nagy & Dénes Lóczy, 2022. "Morphometric analysis of low mountains for mapping flash flood susceptibility in headwaters," 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 3235-3254, December.

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