Reformatting and Post Processing Tools for SWMM5

Rajan, Rajesh; Artita, K. S.; Marge, Jaclyn; Smullen, James T.

doi:10.14796/jwmm.r245-19

Cited by 3 publications

(2 citation statements)

References 2 publications

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“…Because the rpt files produced by SWMM are not easily imported into other programs for processing (Rajan et al 2012), it is especially challenging to manage the data for a multitude of scenarios. To effectively make use of the breadth of data produced by a suite of SWMM models, program access is provided (via swmmio) to relevant data in companion inp and rpt files for a given SWMM model.…”

Section: Post-processing Automationmentioning

confidence: 99%

Automating Model Builds for Sequence Optimization of Flood Mitigation Investment Phases

Erispaha¹,

Brown

2018

JWMM

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A process and a set of tools are proposed to automate the creation of an exhaustive set of flood mitigation scenarios modeled by the United States Environmental Protection Agency's Stormwater Management Model (SWMM), as well as to create a strategic planning framework that takes advantage of the exhaustive model scope. Using the proposed method, models are generated for each logical combination of independent flood mitigation alternatives at each possible phase of implementation (i.e. at every practical phase of investment). Cost estimates and flood risk reduction values are calculated for each flood mitigation alternative and organized into all possible sequences of implementation. The exhaustive set of progressive implementation scenarios is then used as a decision-making tool to provide flexibility in long term planning. Because each phase of investment can be implemented and function independently, large capital improvement programs can be constructed progressively without having to commit (politically and financially) to the cost of full implementation of the program. With the proposed process and the data produced, it is shown that strategic planning can be adaptive and may be adjusted to favour short term cost effectiveness, or optimized within a long term budget while being able to end investment at any phase in the program.

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Section: Post-processing Automationmentioning

confidence: 99%

Automating Model Builds for Sequence Optimization of Flood Mitigation Investment Phases

Erispaha¹,

Brown

2018

JWMM

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“…Note that two of the sites (T14-000345 and T14-013985) did not capture a significantly large enough number of wet weather events. A post-processing R program, developed by Rajan and Artita (2011), was used to systematically evaluate the model results. In a further attempt to quantify model uncertainty, potential sources of observed data error and model prediction error were estimated.…”

Section: Hydrologic and Hydraulic Model Validationmentioning

confidence: 99%

Geoprocessing Tools for Surface and Basement Flooding Analysis in SWMM

White

Knighton

Martens

et al. 2013

JWMM

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A geoprocessing routine was used for the development of a modified combined sewer conveyance system model to aid in defining the magnitude of basement backups and surface flooding, which often occur in older urban areas served by combined sewer systems. Detailed stage-storage relationships (including both basement and surface flooding storage) were developed utilizing standard GIS tools, a geospatial sewer network, building footprint boundaries, and a high resolution digital elevation model. In addition to representing more accurate stage-storage volumes in SWMM, the routing of surface floodwater was also simulated. Predicted peak water elevations in the conveyance system were then post-processed in GIS to determine the location within each subcatchment where basement or surface flooding was experienced. This approach, when compared to a more traditional sewer system hydraulic model, resulted in more accurate flood volume and depth calculations. Additionally, this routine produced a more accurate representation of street and building flood inundation within the study area. IntroductionThe new model development approach presented in this chapter was established in order to better predict surface and basement flooding from surcharged sewers within the city of Philadelphia's combined sewer system.

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