Details
Original language | English |
---|---|
Article number | 0339 |
Journal | Land |
Volume | 9 |
Issue number | 9 |
Publication status | Published - 22 Sept 2020 |
Externally published | Yes |
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.
Keywords
- Costa Rica, Green infrastructure, High resolution, Neighborhood level, SWMM, Stormwater, Urban flooding
ASJC Scopus subject areas
- Environmental Science(all)
- Global and Planetary Change
- Environmental Science(all)
- Ecology
- Environmental Science(all)
- Nature and Landscape Conservation
Sustainable Development Goals
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In: Land, Vol. 9, No. 9, 0339, 22.09.2020.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Highly Resolved Rainfall-Runoff Simulation of Retrofitted Green Stormwater Infrastructure at the Micro-Watershed Scale
AU - Khan, Sami Towsif
AU - Chapa Zumba, José Fernando
AU - Hack, Jochen
N1 - Funding Information: Acknowledgments: The authors would like to acknowledge HydroPraxis SARL for providing the Europe university grant to use PCSWMM for this study. We also acknowledge support from the German Research Foundation (DFG) and the Open Access Publishing Fund of Technical University of Darmstadt. Funding Information: This research was funded by the German Federal Ministry of Education and research (BMBF), grant number 01UU1704. Acknowledgments: The authors would like to acknowledge HydroPraxis SARL for providing the Europe university grant to use PCSWMM for this study. We also acknowledge support from the German Research Foundation (DFG) and the Open Access Publishing Fund of Technical University of Darmstadt.
PY - 2020/9/22
Y1 - 2020/9/22
N2 - 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.
AB - 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.
KW - Costa Rica
KW - Green infrastructure
KW - High resolution
KW - Neighborhood level
KW - SWMM
KW - Stormwater
KW - Urban flooding
UR - http://www.scopus.com/inward/record.url?scp=85092533551&partnerID=8YFLogxK
U2 - 10.3390/LAND9090339
DO - 10.3390/LAND9090339
M3 - Article
VL - 9
JO - Land
JF - Land
IS - 9
M1 - 0339
ER -