Developing an optimal sewer layout model to reduce peak outflows

J. H. Kim, J. H. Lee, J. H. Park, H. D. Jun

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)

    Abstract

    In sewer layout design, most developed models are designed to determine pipe diameter, slope and overall layout to minimize the least cost for the design rainfall. However, these models cannot consider the superposition effect of runoff hydrographs entering each junction. The suggested Optimal Sewer Layout Model (OSLM) is designed to control flows and distribute the node inflows while taking into consideration the superposition effect for reducing the inundation risk from the sewer pipes. The suggested model used the genetic algorithm to determine the optimal layout, which was connected to the SWMM (Storm Water Management Model) for the hydraulic analysis. The suggested model was applied to an actual urban watershed in Seoul, Korea. By using the suggested model, the peak outflows at the outlet were decreased by approximately 20% than those of the current sewer layout for the design rainfall during 30 minutes.

    Original languageEnglish
    Title of host publicationWorld Environmental and Water Resources Congress 2008
    Subtitle of host publicationAhupua'a - Proceedings of the World Environmental and Water Resources Congress 2008
    DOIs
    Publication statusPublished - 2008
    EventWorld Environmental and Water Resources Congress 2008: Ahupua'a - Honolulu, HI, United States
    Duration: 2008 May 122008 May 16

    Publication series

    NameWorld Environmental and Water Resources Congress 2008: Ahupua'a - Proceedings of the World Environmental and Water Resources Congress 2008
    Volume316

    Other

    OtherWorld Environmental and Water Resources Congress 2008: Ahupua'a
    Country/TerritoryUnited States
    CityHonolulu, HI
    Period08/5/1208/5/16

    Keywords

    • Korea
    • Optimization
    • Outfall sewers
    • Pipes

    ASJC Scopus subject areas

    • Management, Monitoring, Policy and Law
    • Water Science and Technology
    • Pollution

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