Commonality of rainfall variables influencing suspended solids concentrations in storm runoff from three different urban impervious surfaces

Brodie, Ian M. and Dunn, Peter K. (2010) Commonality of rainfall variables influencing suspended solids concentrations in storm runoff from three different urban impervious surfaces. Journal of Hydrology, 387 (3-4). pp. 202-211. ISSN 0022-1694

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Abstract

Finding a common set of rainfall variables to explain the concentration of suspended solids in runoff from typical urban impervious surfaces has many applications in stormwater planning. This paper describes a statistical process to identify key explanatory variables to Non-Coarse Particle (suspended solids<500 μm size) event mean concentrations measured from road, carpark and roof surfaces located in Toowoomba, Australia. The dominant variables for all surfaces were rainfall depth and peak 6-minute rainfall intensity. Storm duration, defined as the time period when rainfall intensity exceeds 0.25 mm/hr and antecedent storm rainfall were also important predictors, but was less dominant. The regression model fitted to non-coarse particle concentration across all surfaces was proportional to rainfall depth raised to a negative power and peak 6-minute rainfall intensity raised to a positive power; the proportionality constant varies by surface type. The form of this common model has a physical basis and is analogous to the Modified Universal Soil Loss equation widely used for soil loss estimation for non-urban areas.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Author version deposited in accordance with the copyright policy of the publisher (Elsevier).
Depositing User: Mr Ian Brodie
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Agricultural, Civil and Environmental Engineering
Date Deposited: 15 Oct 2010 08:01
Last Modified: 03 Jul 2013 00:03
Uncontrolled Keywords: stormwater; urban runoff; suspended solids; regression analysis; low impact development
Fields of Research (FOR2008): 09 Engineering > 0907 Environmental Engineering > 090702 Environmental Engineering Modelling
05 Environmental Sciences > 0503 Soil Sciences > 050304 Soil Chemistry (excl. Carbon Sequestration Science)
09 Engineering > 0905 Civil Engineering > 090508 Water Quality Engineering
Socio-Economic Objective (SEO2008): D Environment > 96 Environment > 9609 Land and Water Management > 960912 Urban and Industrial Water Management
Identification Number or DOI: doi: 10.1016/j.jhydrol.2010.04.008
URI: http://eprints.usq.edu.au/id/eprint/8828

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