Comparing SWMM 5.1 Calculation Alternatives to Represent Unsteady Stormwater Sewer Flows
Publication: Journal of Hydraulic Engineering
Volume 146, Issue 7
Abstract
The Storm Water Management Model 5.1 (SWMM) is a widely adopted dynamic hydrologic and hydraulic model often used to estimate runoff quantity and quality in urban drainage systems. SWMM’s unsteady flow algorithm, EXTRAN, is based on a link-node solution that enables it to represent typical stormwater inflows well. Yet, for rapid inflow conditions associated with more extreme inflows, predictions yielded by SWMM underestimate surges and sometimes underrepresent sudden changes sewer flow conditions. Recent research showed the benefits of introducing artificial spatial discretization (ASD) models in SWMM to represent rapid inflows in sewers. However, with the recent addition of the Preissmann slot algorithm in the SWMM formulation, a systematic evaluation of the performance of this pressurization algorithm in complex and highly dynamic inflow scenarios is still missing. The present study applied the conditions presented in the Storm Water Management Model Quality Assurance Report and compared the use of either link-node or ASD along the original EXTRAN and the new Preissmann slot algorithm in modeling results. The performance of each of the selected modeling alternatives was evaluated in terms of continuity errors and numerical stability. The findings obtained in this study indicate modeling result improvements with an adequate selection of temporal and spatial discretization.
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Data Availability Statement
Some or all data, models, or code generated or used during the study are available in a repository online in accordance with funder data retention policies. The data that support the findings of this study are openly available in the following:
ReSWMM (Pachaly et al. 2019) executable and manual. https://github.com/ecotecnologias/ReSWMM
SWMM (USEPA 2018) and Quality Assurance Report (Rossman 2006). https://www.epa.gov/water-research/storm-water-management-model-swmm
Acknowledgments
The authors would like to acknowledge the support of CAPES (Finance code 001), which provided support for the first author, Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPQ), for the third author, Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul (FAPERGS), for the last author, and Universidade Federal de Santa Maria (UFSM), which permitted the exchange of knowledge between Brazil and the US. Also, the authors would like to acknowledge Robert E. Dickinson for clarifications about the SWMM engine.
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Published In
Journal of Hydraulic Engineering
Volume 146 • Issue 7 • July 2020
Copyright
©2020 American Society of Civil Engineers.
History
Received: Jun 5, 2019
Accepted: Dec 12, 2019
Published online: Apr 18, 2020
Published in print: Jul 1, 2020
Discussion open until: Sep 18, 2020
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