GIP-SWMM: A new Green Infrastructure Placement Tool coupled with SWMM

Shojaeizadeh, Ali; Geza, Mengistu; Hogue, T. S.

doi:10.1016/j.jenvman.2020.111409

Cited by 33 publications

(6 citation statements)

References 29 publications

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“…Using regional planning tools such as RBEROST as screening tools in an iterative approach to planning facilitates more efficient approaches to further, more detailed, localized modeling (Dong et al, 2020). More specialized tools that could be informed by RBEROST screening level outputs include the Agricultural Conservation Planning Framework (ACPF; Tomer et al 2013, 2015, 2021), WMOST (Detenbeck, Piscopo, et al, 2018; Detenbeck, ten Brink, et al, 2018), or the Storm Water Management Model (SWMM; Shojaeizadeh et al, 2021). Screening with RBEROST identifies NHDPlus catchments where management is likely to be most cost‐effective, and more localized modeling in these catchments will be able to optimize management options potentially to the parcel or field scale (Srinivas et al, 2020), and will be able to incorporate information such as variation in farmers', stormwater managers', and WWTP operators' willingness to take risks (Eckart et al, 2017; Muga & Mihelcic, 2008; Prokopy, 2020; Prokopy et al, 2008, 2019).…”

Section: Discussionmentioning

confidence: 99%

“…Common methods either produce a single optimal solution or in the case of multiple objectives, a combination of solutions reflecting tradeoffs between objectives (Eckart et al, 2017; Kumar et al, 2021; Qi et al, 2020). Most optimization studies focus on one type of land use (e.g., Gallo et al, 2020; Jiang et al, 2021; Shojaeizadeh et al, 2021), and optimize practices in smaller areas on the order of hectares to hundreds of square kilometers (Detenbeck, ten Brink, et al, 2018; Jiang et al, 2021; Shojaeizadeh et al, 2021). Strokal et al (2020) and Kaufman et al (2021) provide notable exceptions for large, multiple land‐use, optimization.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

River Basin Export Reduction Optimization Support Tool; a tool to screen options for reducing nutrient loads while minimizing cost

Chamberlin

Brink

Munson

et al. 2022

J American Water Resour Assoc

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

River Basin Export Reduction Optimization Support Tool; a tool to screen options for reducing nutrient loads while minimizing cost

Chamberlin

Brink

Munson

et al. 2022

J American Water Resour Assoc

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“…Shojaeizadeh et al [74] developed a new green Infrastructure Placement Tool coupled with Storm Water Management Model (GIP-SWMM) for selection and strategic placement of green infrastructure practices. The performance of the tool was evaluated in the Meade-Hawthorne drainage basin in Rapid City, South Dakota (USA).…”

Section: Discussionmentioning

confidence: 99%

Innovations in Best Practices: Approaches to Managing Urban Areas and Reducing Flood Risk in Reggio Calabria (Italy)

et al. 2021

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Urbanization increases imperviousness and reduces infiltration, retention, and evapotranspiration, frequently aggravating urban flooding due to greater runoff and higher and faster discharge peaks. Effective strategies to mitigate flood risks require a better understanding of the watershed dynamics and space to reverse the negative impacts. However, often cities do not have proper data sets to feed mathematical models that would be helpful in mapping water dynamics. Attempts to reduce flood risks have been made for decades by means of structural interventions but were frequently designed within the logic of a local scale, using limited available spaces and often merely shifting flooding downstream. Therefore, assessing urban floods requires a modeling approach capable of reflecting the watershed scale, considering interactions between hydraulic structures and urban landscape, where best practices and non-structural measures aim to improve community flood resilience through the reduction of social and financial costs in the long run. This paper proposes an integrated approach to analyze low impact development (LID) practices complemented by non-structural measures in a case study in southern Italy, supported by mathematical modeling in a strategy to overcome a context of almost no available data and limited urban open spaces.

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“…In this study, an urban hydrologic model named SWMM is used to simulate and reflect the relationships between rainfall and runoff. SWMM is widely used in urban flood analysis and hydraulic practices, and it has very good simulated performances in both urban and natural basins [51,52]. Since the theory of the SWMM model is introduced in detail in a previous study by Gironás et al [53], we do not show more details about the SWMM model in this study.…”

Section: Urban Hydrologic Modelmentioning

confidence: 94%

Urban Flood Analysis in Ungauged Drainage Basin Using Short-Term and High-Resolution Remotely Sensed Rainfall Records

et al. 2021

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Analyzing flooding in urban areas is a great challenge due to the lack of long-term rainfall records. This study hereby seeks to propose a modeling framework for urban flood analysis in ungauged drainage basins. A platform called “RainyDay” combined with a nine-year record of hourly, 0.1° remotely sensed rainfall data are used to generate extreme rainfall events. These events are used as inputs to a hydrological model. The comprehensive characteristics of urban flooding are reflected through the projection pursuit method. We simulate runoff for different return periods for a typical urban drainage basin. The combination of RainyDay and short-record remotely sensed rainfall can reproduce recent observed rainfall frequencies, which are relatively close to the design rainfall calculated by the intensity-duration-frequency formula. More specifically, the design rainfall is closer at high (higher than 20-yr) return period or long duration (longer than 6 h). Contrasting with the flood-simulated results under different return periods, RainyDay-based estimates may underestimate the flood characteristics under low return period or short duration scenarios, but they can reflect the characteristics with increasing duration or return period. The proposed modeling framework provides an alternative way to estimate the ensemble spread of rainfall and flood estimates rather than a single estimate value.

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GIP-SWMM: A new Green Infrastructure Placement Tool coupled with SWMM

Cited by 33 publications

References 29 publications

River Basin Export Reduction Optimization Support Tool; a tool to screen options for reducing nutrient loads while minimizing cost

River Basin Export Reduction Optimization Support Tool; a tool to screen options for reducing nutrient loads while minimizing cost

Innovations in Best Practices: Approaches to Managing Urban Areas and Reducing Flood Risk in Reggio Calabria (Italy)

Urban Flood Analysis in Ungauged Drainage Basin Using Short-Term and High-Resolution Remotely Sensed Rainfall Records

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