SSUIS – a research model for predicting suspended solids loads in stormwater runoff from urban impervious surfaces

Brodie, Ian M. (2012) SSUIS – a research model for predicting suspended solids loads in stormwater runoff from urban impervious surfaces. Water Science and Technology, 65 (12). pp. 2140-2147. ISSN 0273-1223

Abstract

Suspended solids from urban impervious surfaces (SSUIS) is a spreadsheet-based model that predicts the mass loading of suspended solids (SS) in stormwater runoff generated from impervious urban surfaces. The model is intended to be a research tool and incorporates several particle accumulation and washoff processes. Development of SSUIS is based on interpretation of storm event data obtained from a galvanised iron roof, a concrete car park and a bitumen road located in Toowoomba, Australia. SSUIS is a source area model that tracks the particle mass balance on the impervious surface and within its lateral drain to a point of discharge. Particles are separated into two groups: free and detained, depending on the rainfall energy required for surface washoff. Calibration and verification of SSUIS against the Toowoomba SS data yielded R2 values ranging from 0.60 to 0.98. Parameter sensitivity analysis and an example of how SSUIS can be applied to predict the treatment efficiency of a grass swale are also provided.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Permanent restricted access to published version due to publisher copyright policy (IWA).
Depositing User: Mr Ian Brodie
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Agricultural, Civil and Environmental Engineering
Date Deposited: 12 Aug 2012 05:20
Last Modified: 03 Jul 2013 01:12
Uncontrolled Keywords: impervious surfaces; stormwater; suspended solids; urban runoff; water quality
Fields of Research (FOR2008): 12 Built Environment and Design > 1204 Engineering Design > 120405 Models of Engineering Design
03 Chemical Sciences > 0399 Other Chemical Sciences > 039903 Industrial Chemistry
09 Engineering > 0905 Civil Engineering > 090509 Water Resources 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: 10.2166/wst.2012.131
URI: http://eprints.usq.edu.au/id/eprint/21340

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