Probabilistic Models for Analysis of Urban Runoff Control Systems
Publication: Journal of Environmental Engineering
Volume 126, Issue 3
Abstract
Given the significant urban runoff impacts on many receiving waters and the massive costs of future investments in drainage infrastructure, the design of urban runoff control systems must be cost-effective. Cost-effective design requires that various runoff control system alternatives be investigated at the planning stage so that cost-effective runoff control systems can be identified for design level analysis. To analyze the runoff control performance of various combinations of runoff control systems at the planning stage, efficient screening models are acutely needed. For this purpose, analytical probabilistic models were applied to analyze the runoff quantity/quality control performance of various combinations of storage and treatment systems. These analytical probabilistic models are developed with derived probability distribution theory whereby the input meteorology to the catchment is described by probability density functions (PDFs) of the meteorological characteristics that are transformed by hydrologic/hydraulic functions to PDFs of the system performance variables. The resulting PDFs are then used to determine the average performance conditions. These models provide closed-formed solutions of the performance equations that are highly efficient in both a conceptual and computational sense. As a result, they are particularly useful for the screening analysis of urban runoff control alternatives.
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References
1.
Adams, B. J., and Bontje, J. B. ( 1984). “Microcomputer applications of analytical models for urban drainage design.” Emerging computer techniques for stormwater and flood management, ASCE, New York, 138–162.
2.
Adams, B. J., Fraser, H. G., Howard, C. D. D., and Hanafy, M. S. (1986). “Meteorological data analysis for drainage system design.”J. Envir. Engrg., ASCE, 112(5), 827–848.
3.
Chan, S. O., and Bras, R. L. (1978). “Derived distribution of water volume above a given threshold.” Tech. Rep. 234, Parsons Lab., Massachusetts Institute of Technology, Cambridge, Mass.
4.
Chan, S. O., and Bras, R. L. (1979). “Urban storm water management: Distribution of blood volumes.” Water Resour. Res., 15(2), 371–382.
5.
CH2M Hill Engineering Ltd. (1992). “Analysis of combined sewer overflow control technologies.” Rep. Prepared for Ontario Ministry of Environment and Energy, Queen's Printer for Ontario, Toronto.
6.
CH2M Hill Engineering Ltd. (1993). “Urban runoff control costs at seventeen RAP sites.” Rep. Prepared for Environment Canada Great Lakes Cleanup Fund, Burlington, Ont., Canada.
7.
Di Toro, D. M., and Small, M. J. (1979). “Stormwater interception and storage.”J. Envir. Engrg., ASCE, 105(1), 43–54.
8.
Driver, N. E., and Lystrom, D. J. (1986). “Estimation of urban storm runoff loads.” Proc., Conf. on Urban Runoff Quality Impact and Quality Enhancement Technol., B. Urbonas and L. A. Roesner, eds., 122–132.
9.
Howard, C. D. D. (1976). “Theory of storage and treatment plant overflow.”J. Envir. Engrg., ASCE, 102(4), 709–722.
10.
Kauffman, G. ( 1987). “A comparison of analytical and simulation models for drainage system design: SUDS versus STORM,” MS thesis, University of Toronto, Toronto.
11.
Li, J. ( 1991). “Comprehensive urban runoff control planning,” PhD thesis, University of Toronto, Toronto.
12.
Loganathan, V. G., and Delleur, J. W. (1984). “Effects of pollutant loadings from storm sewer overflows: A derived distribution approach.” Water Resour. Res., 20(7), 857–865.
13.
Mills, G. W. (1977). “Water quality of urban storm water runoff in the Borough of East York.” Res. Rep. No. 66, Ontario Ministry of Environment, Toronto.
14.
Schwarz, R. B. ( 1980). “Distributed storage for runoff control: An analytical model with economic optimization,” MS thesis, University of Toronto, Toronto.
15.
Segarra-Garcia, R., and Loganathan, V. G. (1992). “Stormwater detention storage design under random pollutant loading.”J. Water Resour. Plng. and Mgmt., ASCE, 118(5), 475–491.
16.
Seto, M. Y. K. ( 1984). “Comparison of alternative derived probability models for stormwater management,” MS thesis, University of Toronto, Toronto.
17.
Smith, D. I. ( 1980). “Probability of storage overflows for stormwater management,” MS thesis, University of Toronto, Toronto.
18.
The storage, treatment, overflow and runoff model (STORM)—User manual. (1974). Hydrologic Engrg. Ctr. (HEC), U.S. Army Corps of Engineers, Davis, Calif.
19.
U.S. EPA. (1983). “Results of the nationwide urban runoff program.” NTIS PB84-185545.
20.
Walkovich, P. D., and Adams, B. J. (1991). Statistical urban drainage simulator (SUDS)—Program and users' manual, Version 3.1, University of Toronto, Toronto.
21.
Wallace, R. C. ( 1980). “Statistical modelling of water quality parameters in urban runoff,” Master's Tech. Rep., University of Florida, Gainesville, Fla.
22.
Zukovs, G. ( 1983). “Development of a probabilistic runoff storage/treatment model,” M.Eng. thesis, University of Toronto, Toronto.
Information & Authors
Information
Published In
Journal of Environmental Engineering
Volume 126 • Issue 3 • March 2000
Pages: 217 - 224
History
Received: Jun 2, 1997
Published online: Mar 1, 2000
Published in print: Mar 2000
Authors
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