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

Research output: Contribution to journalArticleResearchpeer review

Authors

  • Sami Towsif Khan
  • José Fernando Chapa Zumba
  • Jochen Hack

External Research Organisations

  • Technische Universität Darmstadt
View graph of relations

Details

Original languageEnglish
Article number0339
JournalLand
Volume9
Issue number9
Publication statusPublished - 22 Sept 2020
Externally publishedYes

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

Sustainable Development Goals

Cite this

Highly Resolved Rainfall-Runoff Simulation of Retrofitted Green Stormwater Infrastructure at the Micro-Watershed Scale. / Khan, Sami Towsif; Chapa Zumba, José Fernando; Hack, Jochen.
In: Land, Vol. 9, No. 9, 0339, 22.09.2020.

Research output: Contribution to journalArticleResearchpeer review

Khan ST, Chapa Zumba JF, Hack J. Highly Resolved Rainfall-Runoff Simulation of Retrofitted Green Stormwater Infrastructure at the Micro-Watershed Scale. Land. 2020 Sept 22;9(9):0339. doi: 10.3390/LAND9090339
Khan, Sami Towsif ; Chapa Zumba, José Fernando ; Hack, Jochen. / Highly Resolved Rainfall-Runoff Simulation of Retrofitted Green Stormwater Infrastructure at the Micro-Watershed Scale. In: Land. 2020 ; Vol. 9, No. 9.
Download
@article{f094f691c067487bbf75ea46dfbc4110,
title = "Highly Resolved Rainfall-Runoff Simulation of Retrofitted Green Stormwater Infrastructure at the Micro-Watershed Scale",
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",
author = "Khan, {Sami Towsif} and {Chapa Zumba}, {Jos{\'e} Fernando} and Jochen Hack",
note = "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. ",
year = "2020",
month = sep,
day = "22",
doi = "10.3390/LAND9090339",
language = "English",
volume = "9",
number = "9",

}

Download

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 -