Increased concern for the impact of urban runoff on receiving water quality makes acute the need to develop runoff quality control models for the various stages of urban runoff control planning. Analytical probabilistic models, which compare favourably with the STORM simulation model, have been derived to predict the long-term pollution control performance of storage-treatment systems from rainfall statistics. With knowledge of the cost functions of storage-treatment systems, the developed cost optimization precedure can be used to determine the least-cost combination of storage and treatment systems which can achieve various levels of quality control. This information is useful for specification of design performance and subsequent design level analyses of control systems.
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Research Article|
January 01 1994
Statistical Water Quality Modelling for Urban Runoff Control Planning
J. Y. Li;
J. Y. Li
*Department of Civil Engineering, Ryerson Polytechnic University, Toronto, Ontario M5B 2K3, Canada
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B. J. Adams
B. J. Adams
**Department of Civil Engineering, University of Toronto, Toronto, Ontario M5S 1A4, Canada
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Water Sci Technol (1994) 29 (1-2): 181–190.
Citation
J. Y. Li, B. J. Adams; Statistical Water Quality Modelling for Urban Runoff Control Planning. Water Sci Technol 1 January 1994; 29 (1-2): 181–190. doi: https://doi.org/10.2166/wst.1994.0664
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