IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v121y2025i11d10.1007_s11069-025-07299-9.html
   My bibliography  Save this article

SWMM-based assessment of the effectiveness of water system connectivity in towns and cities

Author

Listed:
  • ShaoLei Guo

    (North China University of Water Resources and Electric Power
    Collaborative Innovation Center of Water Resources Efficient Utilization and Protection Engineering
    Technology Research Center of Water Conservancy and Marine Traffic Engineering)

  • Yike Liu

    (North China University of Water Resources and Electric Power)

  • Xianqi Zhang

    (North China University of Water Resources and Electric Power)

  • He Ren

    (North China University of Water Resources and Electric Power)

  • Yupeng Zheng

    (North China University of Water Resources and Electric Power)

Abstract

The Storm Water Management Model (SWMM) is widely used in urban drainage, water resources engineering, and environmental science, making it one of the key technical tools in urban water management and related research. In this study, ArcGIS is integrated with SWMM to develop a hydraulic model of the urban river network in Pingyu County, Zhumadian City, Henan Province. The model is used to analyze changes in the river system before and after the implementation of the water system connectivity project. Following the completion of the project, the number of rivers increased from 12 to 19, and the number of lakes grew from 4 to 8. The number of tributaries rose from 6 to 13, with the number of secondary tributaries increasing from 0 to 7. Analysis of a representative cross-section of the secondary drainage channel revealed that the peak flow and flow velocity at return periods of 10 and 20 years were delayed and reduced after the project. The concentrations of all monitored pollutants in the four primary rivers exhibited a decreasing trend. Specifically, the concentration of C6H5OH decreased by 95.77% to 93.33%, while the concentrations of TN (Total Nitrogen) and TP (Total Phosphorus) declined by 40–25% and 56–34.48%, respectively. The NH3-H concentration decreased by 45.83–40%, TSS (Total Suspended Solids) concentrations fell by 56–16.67%, and the reduction in COD (Chemical Oxygen Demand) ranged from 64 to 20.94%. Additionally, the river network density increased from 0.43 to 0.63 km/km2, the water surface area ratio grew from 0.95 to 2.26%, and the river frequency rose from 0.19 to 0.28 line/km2. The development coefficient of the first-order tributary river network increased from 4.27 to 4.68 (a 9.51% increase), while the coefficient for secondary rivers rose from 0 to 2.22. Both the area-to-length ratio and average branching ratio remained largely unchanged.

Suggested Citation

  • ShaoLei Guo & Yike Liu & Xianqi Zhang & He Ren & Yupeng Zheng, 2025. "SWMM-based assessment of the effectiveness of water system connectivity in towns and cities," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 121(11), pages 12863-12885, June.
  • Handle: RePEc:spr:nathaz:v:121:y:2025:i:11:d:10.1007_s11069-025-07299-9
    DOI: 10.1007/s11069-025-07299-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-025-07299-9
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11069-025-07299-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:nathaz:v:121:y:2025:i:11:d:10.1007_s11069-025-07299-9. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.