Site-Scale Integrated Decision Support Tool (i-DSTss) for Stormwater Management
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A site-scale integrated decision support tool (i-DSTss) is developed for selection and sizing of stormwater Best Management Practices (BMPs). The tool has several component modules—hydrology, BMP selection, BMP sizing, and life-cycle cost analysis (LCCA)—integrated into a single platform. The hydrology module predicts runoff from small catchment on event and continuous basis using the Green-Ampt and Curve Number methods. The module predicted runoff from a small residential area and a parking lot with R2 value of 0.77 and 0.74, respectively. The BMP selection module recommends a BMP type appropriate for a site based on economic, technical, social and environmental criteria using a multi-criteria optimization approach. The BMP sizing module includes sizing options for green roofs, infiltration-based BMPs, and storage-based BMPs. A mass balance approach is implemented for all types of BMPs. The tool predicted outflow rates from a permeable pavement with R2 value of 0.89. A cost module is included where capital, operation and maintenance, and rehabilitation costs are estimated based on BMP size obtained from the sizing module. The i-DSTss is built on an accessible platform (Microsoft Excel VBA) and can be operated with a basic skillset. The i-DSTss is intended for designers, regulators, and municipalities for quick analysis of scenarios involving interaction among several factors.
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BMP technologies have been developed to manage urban runoff and improve water quality, and LID bioretention cells are one BMP found to be an effective means of reducing heavy metals found in runoff.
“Best management practice (BMP) technologies have been developed to manage urban runoff and improve water quality [12], and lowimpact development (LID) bioretention cells are one BMP found to be an effective means of reducing heavy metals found in runoff [13].”
From Application of Biochar in Stormwater Treatment: Experimental and Modeling Investigation (2021) · cites this paper as [12]
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- Authors
- Shojaeizadeh, A., Geza, M., McCray, J., & Hogue, T. S.
- Affiliations
- South Dakota School of Mines and Technology (US)
- Colorado School of Mines (US)
- Corresponding author
- Shojaeizadeh, Ali
- Geza, Mengistu
- Venue
- Water
- Publisher
- MDPI AG
- Published
- 2019-09-28
- Volume
- 11
- Issue
- 10
- Pages
- 2022
- ISSN
- 2073-4441 (ISSN-L)
- OpenAlex
- W2975524554
- Cited by
- 20
- References
- 51
- Citations by year
- 2026: 1 · 2024: 3 · 2023: 4 · 2022: 4 · 2021: 4 · 2020: 4
- FWCI
- 1.27
- Type
- journal article
- Language
- en
- Open access
- gold
- dx.doi.org
- Licence
- Locations
- Water (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- U.S. Environmental Protection Agency (EPA-G2015ORD-D1)
- Topics
- Physical Sciences › Environmental Science › Environmental Engineering › Urban Stormwater Management Solutions
- Physical Sciences › Environmental Science › Water Science and Technology › Hydrology and Watershed Management Studies
- Physical Sciences › Environmental Science › Environmental Engineering › Urban Heat Island Mitigation
- Keywords
- stormwater management, best management practices, life cycle cost analysis, multi-criteria decision making, runoff prediction, curve number method, green roofs, permeable pavement, mass balance, residential catchments, parking lots, cost estimation, decision support system
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