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Analyzing the Impact of Impervious Area Disconnection on Urban Runoff Control Using an Analytical Probabilistic Model

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  • Jun Wang

    (McMaster University)

  • Shouhong Zhang

    (Beijing Forestry University)

  • Yiping Guo

    (McMaster University)

Abstract

The rapid spreading of impervious areas has been a growing concern in urban stormwater management. Runoff originating from impervious areas directly connected to or disconnected from drainage systems contributes differently to the outflow at the downstream outlet. Extensive implementations of best management practices (BMPs) and low impact development (LID) practices necessitate more accurate quantifications of the runoff control effects of disconnecting impervious areas from drainage networks. An analytical probabilistic model was developed in this study that considers the differences between directly-connected and disconnected impervious areas. The novel feature of this model is that it can not only explicitly consider the effect of impervious area disconnection but also analytically calculate the runoff reduction effects contributed by impervious area disconnection. Model validity is demonstrated by comparing its outcomes with the results of a series of continuous simulations for cases with different types of soils and various land use parameters in Jackson, Mississippi and Billings, Montana, USA. Example applications of the proposed analytical model also demonstrate its usefulness in the planning and design of impervious area disconnections.

Suggested Citation

  • Jun Wang & Shouhong Zhang & Yiping Guo, 2019. "Analyzing the Impact of Impervious Area Disconnection on Urban Runoff Control Using an Analytical Probabilistic Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(5), pages 1753-1768, March.
    • Handle: RePEc:spr:waterr:v:33:y:2019:i:5:d:10.1007_s11269-019-02211-0
    DOI: 10.1007/s11269-019-02211-0
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    References listed on IDEAS

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    1. Justel, Ana & Peña, Daniel & Zamar, Rubén, 1997. "A multivariate Kolmogorov-Smirnov test of goodness of fit," Statistics & Probability Letters, Elsevier, vol. 35(3), pages 251-259, October.
    2. An Liu & Ashantha Goonetilleke & Prasanna Egodawatta, 2012. "Inadequacy of Land Use and Impervious Area Fraction for Determining Urban Stormwater Quality," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(8), pages 2259-2265, June.
    3. Paul F. Boulos, 2017. "Smart Water Network Modeling for Sustainable and Resilient Infrastructure," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(10), pages 3177-3188, August.
    4. Shouhong Zhang & Yiping Guo, 2014. "Stormwater Capture Efficiency of Bioretention Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(1), pages 149-168, January.
    5. Yiping Guo & Shouhong Zhang & Shuguang Liu, 2014. "Runoff Reduction Capabilities and Irrigation Requirements of Green Roofs," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(5), pages 1363-1378, March.
    6. Justel, Ana & Peña, Daniel & Zamar, Rubén, 1997. "A multivariate Kolmogorov-Smirnov test of goodness of fit," Statistics & Probability Letters, Elsevier, vol. 35(3), pages 251-259, October.
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    Cited by:

    1. A. Raimondi & G. Becciu, 2021. "Performance of Green Roofs for Rainwater Control," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(1), pages 99-111, January.

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