Journal article
Commonality of rainfall variables influencing suspended solids concentrations in storm runoff from three different urban impervious surfaces
Journal of Hydrology, Vol.387(3-4), pp.202-211
2010
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.
Details
- Title
- Commonality of rainfall variables influencing suspended solids concentrations in storm runoff from three different urban impervious surfaces
- Authors
- I M Brodie (Author) - University of Southern QueenslandPeter K Dunn (Author) - University of the Sunshine Coast - Faculty of Science, Health and Education
- Publication details
- Journal of Hydrology, Vol.387(3-4), pp.202-211
- Publisher
- Elsevier BV
- Date published
- 2010
- DOI
- 10.1016/j.jhydrol.2010.04.008
- ISSN
- 0022-1694
- Copyright note
- Copyright © 2010. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
- Organisation Unit
- University of the Sunshine Coast, Queensland; School of Health and Sport Sciences - Legacy; School of Science, Technology and Engineering
- Language
- English
- Record Identifier
- 99449897202621
- Output Type
- Journal article
Metrics
13 File views/ downloads
585 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Collaboration types
- Domestic collaboration
- Web Of Science research areas
- Engineering, Civil
- Geosciences, Multidisciplinary
- Water Resources
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
Source: InCites