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Improving Effective Impervious Estimates to Inform Stormwater Management

Author

Listed:
  • Rebeka Sultana

    (California State University)

  • Mike Mroczek

    (California State University, Long Beach)

  • Ashmita Sengupta

    (Commonwealth Scientific and Industrial Research Organisation)

  • Suzanne Dallman

    (California State University, Long Beach)

  • Eric D. Stein

    (Southern California Coastal Water Research Project)

Abstract

Sizing stormwater runoff control facilities and their performance relies on the amount of runoff generated from impervious cover in the watershed. Total impervious area (TIA) often overestimates unit runoff values because it fails to account for intervening pervious surfaces which can reduce effective impervious area (EIA) below the TIA. While EIA is a better estimator for designing stormwater control facilities, direct measurement of EIA can be limited to small catchments as the process is rigorous and time intensive. This paper develops an EIA-TIA regression relationship with a single parameter TIA for semi-arid Southern California. TIA of seven watersheds of the region is calculated from 30 m resolution National Land Cover Dataset and EIA is indirectly measured from observed rainfall and runoff data from 2005 to 2007 in study watersheds using three methods – (1) Ordinary Least Square (OLS), (2) Modified Ordinary Least Square (MOLS) and (3) Weighted Least Square (WLS) methods. Results show that a linear relationship between EIA derived from WLS method and estimated watershed TIA meet the sensitivity test requirement and have highest R2 value. This empirical EIA-TIA relationship is valid for watersheds with TIA greater than 2.56% and estimated EIAs for the study watersheds are between 20 and 50% lower than the TIAs. Using EIA instead of TIA can results in reduced runoff volume and the associated design size of stormwater control devices. This empirical relationship can be applied to other semi-arid watersheds with similar size, land use and other geomorphic characteristics.

Suggested Citation

  • Rebeka Sultana & Mike Mroczek & Ashmita Sengupta & Suzanne Dallman & Eric D. Stein, 2020. "Improving Effective Impervious Estimates to Inform Stormwater Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(2), pages 747-762, January.
    • Handle: RePEc:spr:waterr:v:34:y:2020:i:2:d:10.1007_s11269-019-02474-7
    DOI: 10.1007/s11269-019-02474-7
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    References listed on IDEAS

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    1. Peter Bach & Ana Deletic & Christian Urich & Robert Sitzenfrei & Manfred Kleidorfer & Wolfgang Rauch & David McCarthy, 2013. "Modelling Interactions Between Lot-Scale Decentralised Water Infrastructure and Urban Form – a Case Study on Infiltration Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(14), pages 4845-4863, November.
    2. Fabrizio Ravagnani & Alberto Pellegrinelli & Marco Franchini, 2009. "Estimation of Urban Impervious Fraction from Satellite Images and Its Impact on Peak Discharge Entering a Storm Sewer System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(10), pages 1893-1915, August.
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