Articles | Volume 22, issue 5
https://doi.org/10.5194/hess-22-2615-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-22-2615-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
03 May 2018
Research article |
| 03 May 2018
Drainage area characterization for evaluating green infrastructure using the Storm Water Management Model
Center for Urban Green Infrastructure Engineering (CUGIE Inc), Cincinnati, OH 45255, USA
Christopher T. Nietch
Office of Research and Development, US Environmental Protection
Agency, Cincinnati, OH 45268, USA
Srinivas Panguluri
Independent Consultant, Olney, MD 20832, USA
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- Design of low impact development in the urban context considering hydrological performance and life‐cycle cost Y. Li et al. 10.1111/jfr3.12625
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- Determination of runoff response to variation in overland flow area by flow routes using UAV imagery J. Deng et al. 10.1016/j.jenvman.2019.109868
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- Enhancing Stormwater Management through Hydromodification Measures and Low Impact Development Strategies in Urban Areas: A Neighborhood-Scale Study A. Hasankhan et al. 10.1007/s11269-024-03971-0
- Highly Resolved Rainfall-Runoff Simulation of Retrofitted Green Stormwater Infrastructure at the Micro-Watershed Scale S. Towsif Khan et al. 10.3390/land9090339
- Cumulative Effects of Low Impact Development on Watershed Hydrology in a Mixed Land-Cover System N. Hoghooghi et al. 10.3390/w10080991
- Development of Rainfall-Runoff Models for Sustainable Stormwater Management in Urbanized Catchments B. Szeląg et al. 10.3390/w14131997
- Spatial allocation of bioretention cells considering interaction with shallow groundwater: A simulation-optimization approach K. Zhang & T. Chui 10.1016/j.scitotenv.2024.173369
- Urban Flood Runoff Modeling in Japan: Recent Developments and Future Prospects A. Kawamura et al. 10.3390/w15152733
- Impact of effective impervious surface disconnection on urban hydrographs: A multi-scenario modeling study at the catchment scale H. Zhou et al. 10.1016/j.jhydrol.2024.130656
- Incorporating External Green Infrastructure Models into Storm Water Management Model (SWMM) Simulations Using Interface Files Y. Yang & T. Chui 10.1111/1752-1688.12883
- Modeling and interpreting hydrological responses of sustainable urban drainage systems with explainable machine learning methods Y. Yang & T. Chui 10.5194/hess-25-5839-2021
- When impervious cover doesn't predict urban runoff: Lessons from distributed overland flow modeling A. Kirker & L. Toran 10.1016/j.jhydrol.2023.129539
- Evaluation of land-use, climate change, and low-impact development practices on urban flooding B. Neupane et al. 10.1080/02626667.2021.1954650
- Cumulative effect of the disconnection of impervious areas within residential lots on runoff generation and temporal patterns in a small urban area C. Silva & G. Silva 10.1016/j.jenvman.2019.109719
- Special issue: Urban green infrastructure and the ecological functions D. Lee & Y. Song 10.1007/s11355-019-00384-9
- Role and Concept of Rooftop Disconnection in Terms of Runoff Volume and Flood Peak Quantity H. Malekinezhad et al. 10.1007/s41742-021-00355-9
- Community Scale Assessment of the Effectiveness of Designed Discharge Routes from Building Roofs for Stormwater Reduction X. Fu et al. 10.3390/rs14132970
- Effect of sponge city construction on urban waterlogging reduction in semi-humid areas of China M. Wang et al. 10.2166/wcc.2022.164
- Effectiveness of Design and Implementation Alternatives for Stormwater Control Measures Modeled at the Watershed Scale M. Almadani et al. 10.1061/JSWBAY.SWENG-460
- Interdisciplinary Inquiry and Spatial Green Stormwater Infrastructure Research L. Huang et al. 10.3390/su14031198
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Latest update: 20 Nov 2024
Short summary
This paper demonstrates an approach to spatial discretization for analyzing green infrastructure (GI) using SWMM. Besides DCIA, pervious buffers should be identified for GI modeling. Runoff contributions from different spatial components and flow pathways would impact GI performance. The presented approach can reduce the number of calibration parameters and apply scale–independently to a watershed scale. Hydrograph separation can add insights for developing GI scenarios.
This paper demonstrates an approach to spatial discretization for analyzing green infrastructure...
