Water Quality Operation with a Blending Reservoir and Variable Sources
Publication: Journal of Water Resources Planning and Management
Volume 128, Issue 4
Abstract
A linear programming approach is used within a simulation model to manage water quality for an urban water supply agency with a blending reservoir and a raw water source of variable quality, the Sacramento–San Joaquin Delta. Schedules of source water quality and availability in addition to the physical storage and conveyance constraints, regulatory restrictions, raw water demand, and urban water management priorities are used as input to the simulation model. Resulting schedules of delivered water quality, reservoir storage, and other relevant data can be used to assist with the evaluation of proposed water projects, regulations, and operation strategies that impact water supply performance. This method is applied within the raw water simulation model of the Contra Costa Water District (CCWD), a water district that operates a large blending reservoir with the Sacramento–San Joaquin Delta as its primary water source. A parameter variation study involving salinity levels in the delta quantifies the sensitivity of CCWD’s delivered water quality to changes in source quality.
Get full access to this article
View all available purchase options and get full access to this article.
References
California State Water Resources Control Board. (1995). “1995 Bay-Delta water quality control plan.”
Cardwell, H., Jager, H. I., and Sale, M. J.(1996). “Designing instream flows to satisfy fish and human water needs.” J. Water Resour. Plan. Manage., 122(5), 356–363.
Denton, R. A., Gartrell, G., and Nelson, A. W. (1993). “Modeling the operation of a water quality reservoir and its effect on the Sacramento–San Joaquin Delta.” Hydraulic Engineering 93, Proc., ASCE 1993 National Conf. on Hydraulic Engineering, Vol. 1, New York, 623–628.
Department of Water Resources. (1990). “Management of the California State Water Project.” Bull. 132–90.
Fischer, H. B. (1970). “A method for predicting pollutant transport in tidal waters.” Water Resources Center Contribution No. 132, Hydraulic Engineering Laboratory, College of Engineering, Univ. of California, Berkeley, Calif.
Liang, T., and Nahaji, S.(1983). “Managing water quality by mixing water from different sources.” J. Water Resour. Plan. Manage., 109(1), 48–57.
Nishikawa, T.(1998). “Water-resources optimization model for Santa Barbara, California.” J. Water Resour. Plan. Manage., 124(5), 252–263.
Percia, C., Oron, G., and Mehrez, A.(1997). “Optimal operation of regional system with diverse water quality sources.” J. Water Resour. Plan. Manage., 123(2), 105–115.
Press, W. H., Flannery, B. P., Teukolsky, S. A., and Vetterling, W. T. (1990). Numerical recipes: The art of scientific computing—FORTRAN version, Cambridge Univ. Press, New York.
Reichard, E. G.(1995). “Groundwater-surface water management with stochastic surface water supplies: A simulation-optimization approach.” Water Resour. Res., 31(11), 2845–2865.
San Francisco Estuary Project. (1992). “State of the estuary, 1992–1997.” Oakland, Calif.
Yang, S.-L., Sun, Y.-H., and Yeh, W. W.-G.(2000). “Optimization of regional water distribution system with blending requirements.” J. Water Resour. Plan. Manage., 126(4), 229–235.
Yeh, W. W.-G.(1985). “Reservoir management and operations models: A state-of-the-art review.” Water Resour. Res., 21(12), 1797–1818.
Information & Authors
Information
Published In
Copyright
Copyright © 2002 American Society of Civil Engineers.
History
Received: May 1, 2000
Accepted: Sep 18, 2001
Published online: Jun 14, 2002
Published in print: Jul 2002
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.