2020
DOI: 10.1111/1752-1688.12896
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Coupling PCSWMM and WASP to Evaluate Green Stormwater Infrastructure Impacts to Storm Sediment Loads in an Urban Watershed

Abstract: We coupled rainfall–runoff and instream water quality models to evaluate total suspended solids (TSS) in Wissahickon Creek, a mid‐sized urban stream near Philadelphia, Pennsylvania. Using stormwater runoff and instream field data, we calibrated the model at a subdaily scale and focused on storm responses. We demonstrate that treating event mean concentrations as a calibration parameter rather than a fixed input can substantially improve model performance. Urban stormwater TSS concentrations vary widely in time… Show more

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Cited by 3 publications
(1 citation statement)
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“…Instead, we employed the conceptual, deterministic hydrologic/hydraulic model, PCSWMM (Personal Computer version of the Stormwater Management Model). PCSWMM is a robust physical/conceptual computational model that has been applied in urban water resource studies throughout the world (Shrestha et al, 2014;Irvine et al, 2015;Ho et al, 2015;Irvine & Chua, 2016;Marvin & Wilson, 2016;Akhter & Hewa,2016;Nasrin et al, 2017;Goncalves et al, 2018;Paule-Mercado et al, 2017;Akter & Alam, 2019;Beganskas et al, 2021;Piloti et al, 2020;Saurav et al, 2021;Sidek et al, 2021;Chitwatkulsiri et al, 2022).…”
Section: Ecosystem Services Valuationmentioning
confidence: 99%
“…Instead, we employed the conceptual, deterministic hydrologic/hydraulic model, PCSWMM (Personal Computer version of the Stormwater Management Model). PCSWMM is a robust physical/conceptual computational model that has been applied in urban water resource studies throughout the world (Shrestha et al, 2014;Irvine et al, 2015;Ho et al, 2015;Irvine & Chua, 2016;Marvin & Wilson, 2016;Akhter & Hewa,2016;Nasrin et al, 2017;Goncalves et al, 2018;Paule-Mercado et al, 2017;Akter & Alam, 2019;Beganskas et al, 2021;Piloti et al, 2020;Saurav et al, 2021;Sidek et al, 2021;Chitwatkulsiri et al, 2022).…”
Section: Ecosystem Services Valuationmentioning
confidence: 99%