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    Comparing SWMM 5.1 Calculation Alternatives to Represent Unsteady Stormwater Sewer Flows

    Source: Journal of Hydraulic Engineering:;2020:;Volume ( 146 ):;issue: 007
    Author:
    Robson Leo Pachaly
    ,
    Jose G. Vasconcelos
    ,
    Daniel G. Allasia
    ,
    Rutineia Tassi
    ,
    João Pedro P. Bocchi
    DOI: 10.1061/(ASCE)HY.1943-7900.0001762
    Publisher: ASCE
    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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      Comparing SWMM 5.1 Calculation Alternatives to Represent Unsteady Stormwater Sewer Flows

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4265398
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    contributor authorRobson Leo Pachaly
    contributor authorJose G. Vasconcelos
    contributor authorDaniel G. Allasia
    contributor authorRutineia Tassi
    contributor authorJoão Pedro P. Bocchi
    date accessioned2022-01-30T19:29:23Z
    date available2022-01-30T19:29:23Z
    date issued2020
    identifier other%28ASCE%29HY.1943-7900.0001762.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4265398
    description abstractThe 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.
    publisherASCE
    titleComparing SWMM 5.1 Calculation Alternatives to Represent Unsteady Stormwater Sewer Flows
    typeJournal Paper
    journal volume146
    journal issue7
    journal titleJournal of Hydraulic Engineering
    identifier doi10.1061/(ASCE)HY.1943-7900.0001762
    page04020046
    treeJournal of Hydraulic Engineering:;2020:;Volume ( 146 ):;issue: 007
    contenttypeFulltext
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