Hydrologic Modeling of Distributed Stormwater Control Measure Retrofit and Examination of Impact of Subcatchment Discretization in PCSWMM

Shaneyfelt, Kathryn M.; Johnson, Jeffrey P.; Hunt, William F.

doi:10.1061/jswbay.0000938

Cited by 8 publications

(2 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We use the bioretention cell setting in SWMM Low Impact Development (LID) module to parameterize the GI nodes. Although the SWMM LID module uses a one‐dimensional infiltration model and faces constraints when accounting for transfer between surface water and groundwater, the bioretention model generally generates agreeable results with calibration (Avellaneda et al., 2017; Gülbaz & Kazezyilmaz‐Alhan, 2017; Shaneyfelt et al., 2021).…”

Section: Methodsmentioning

confidence: 99%

Integrating the Spatial Configurations of Green and Gray Infrastructure in Urban Stormwater Networks

Chen,

Davitt‐Liu,

Erickson

et al. 2023

Water Resources Research

View full text Add to dashboard Cite

Green infrastructure (GI) practices improve stormwater quality and reduce urban flooding, but as urban hydrology is highly controlled by its associated gray infrastructure (e.g., stormwater pipe network), GI's watershed‐scale performance depends on its siting within its associated watershed. Although many stormwater practitioners have begun considering GI's spatial configuration within a larger watershed, few approaches allow for flexible scenario exploration, which can untangle GI's interaction with gray infrastructure network and assess its effects on watershed hydrology. To address the gap in integrated gray‐green infrastructure planning, we used an exploratory model to examine gray‐green infrastructure performance using synthetic stormwater networks with varying degrees of flow path meandering, informed by analysis on stormwater networks from the Minneapolis‐St. Paul Metropolitan Area, MN, USA. Superimposed with different coverage and placements of GI (e.g., bioretention cells), these gray‐green stormwater networks are then subjected to different rainfall intensities within Environmental Protection Agency's Storm Water Management Model to simulate their hydrological benefits (e.g., peak flow reduction, flood reduction). Although only limited choices of green and gray infrastructure were explored, the results show that the gray infrastructure's spatial configuration can introduce tradeoffs between increased peak flow and increased flooding, and further interacts with GI coverage and placement to reduce peak flow and flooding at low rainfall intensity. However, as rainfall intensifies, GI ceases to reduce peak flow. For integrated gray‐green infrastructure planning, our results suggest that physical constraints of the stormwater networks and the range of rainfall intensities must be considered when implementing GI.

show abstract

Section: Methodsmentioning

confidence: 99%

Integrating the Spatial Configurations of Green and Gray Infrastructure in Urban Stormwater Networks

Chen,

Davitt‐Liu,

Erickson

et al. 2023

Water Resources Research

View full text Add to dashboard Cite

show abstract

“…Urbanization leads to increasing stormwater runoff and flooding (Ahiablame and Shakya, 2016;Shaneyfelt et al, 2021) as well as degrading the quality of receiving waters. Low Impact Development (LID) technologies are systems or practices that use or mimic natural processes to mitigate the deleterious effects of the increase in imperviousness arising from urbanization (Environmental Protection Agency, 2012;Paule-Mercado et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Verification of PCSWMM's LID processes and their scalability over time and space

Zhang

Valeo²

2022

Front. Water

View full text Add to dashboard Cite

IntroductionThis paper explores the scalability of PCSWMM's Low Impact Development (LID) modeling tools within the urban stormwater computer model.MethodsThe scalability is assessed for a variety of spatial and temporal scales and for event (50-year return storm) and continuous inputs (daily rainfall for an 11 month period), and with a focus on bioretention cells. The model is calibrated for a moderate to large scale, semi-urban watershed on Vancouver Island, British Columbia, Canada. Sensitivity analysis and specialized metrics are used to verify internal model processes at a variety of scales.ResultsWith regard to spatial scaling, changes in flow path length and slope derived from Digital Elevation Models were the most impactful spatial information when modeling flood event and the model's surface layer was the dominant contributor to peak flowrate and volume mitigation by the bioretention cell. However, when modeling the continuous rainfall inputs, storage layer related parameters dominated model outputs. Aside from the soil layer's depth, soil layer parameters such as hydraulic conductivity, showed negligible influence on response to time series rainfall. Parameters that are kept static by the model such as vegetation cover, hydraulic conductivity and storage void ratio (but are naturally dynamic), were tested for their impact on response if allowed to change seasonally or with excessive loading. Runoff coefficients were greatly impacted by storage layer parameter dynamics with very little impact from vegetation. For event simulations, the berm height in the surface layer was the dominant player in reducing peak flow as well as total volume. An analysis to help illustrate sensitivity across spatial scales is proposed.DiscussionThe Spatial Dynamic Sensitivity Analysis shows that parameter sensitivity changes dynamically as LID implementation percentage changes. In particular, the clogging factor, which is a parameter associated with the storage layer, was highly influential for time series rainfall analysis. The LID model concepts in PCSWM seem appropriate for events because the surface layer dominates the response for very large storms. For smaller storms, continuous time series, and larger spatial scales, the model could be revised to better represent soil layer dynamics and vegetation cover, which were both currently inconsequential to the model's output.

show abstract

Assessing Optimal LID Areas for Flood Mitigation: A Case Study on Vancouver Island, Canada

Zhang

Valeo

2023

Environmental Science and Engineering

View full text Add to dashboard Cite

Hydrologic Modeling of Distributed Stormwater Control Measure Retrofit and Examination of Impact of Subcatchment Discretization in PCSWMM

Cited by 8 publications

References 47 publications

Integrating the Spatial Configurations of Green and Gray Infrastructure in Urban Stormwater Networks

Integrating the Spatial Configurations of Green and Gray Infrastructure in Urban Stormwater Networks

Verification of PCSWMM's LID processes and their scalability over time and space

Assessing Optimal LID Areas for Flood Mitigation: A Case Study on Vancouver Island, Canada

Contact Info

Product

Resources

About