Implicit Mean-Variance Approach for Optimal Management of a Water Supply System under Uncertainty
Publication: Journal of Water Resources Planning and Management
Volume 139, Issue 6
Abstract
This study addresses the management of a water supply system under uncertainty. Water is taken from sources that include aquifers and desalination plants and conveyed through a distribution system to consumers under constraints of quantity and quality. The replenishment into the aquifers is stochastic, whereas the desalination plants can produce a large and reliable amount, but at a higher cost. The cost is stochastic because it depends on the realization of the replenishment into the aquifer. A new implicit mean-variance approach is developed and applied. It utilizes the advantages of implicit stochastic programming to formulate a small size and easy to solve convex external optimization problem (quadratic objective and linear constraints) that generates the mean-variance tradeoff without the need to solve a large-scale problem. The results are presented as a tradeoff between the expected value versus the standard deviation. At one end of the tradeoff curve, dependence on the aquifer results in low expected cost and higher cost variability. At the other end, when all of the water is taken from desalination, the cost is high with no variability (deterministic).
Get full access to this article
View all available purchase options and get full access to this article.
References
Ajami, N. K., Hornberger, G. M., and Sunding, D. L. (2008). “Sustainable water resource management under hydrological uncertainty.” Water Resour. Res., 44(11).
Barros, M., Tsai, F., Yang, S.-L., Lopes, J., and Yeh, W. (2003). “Optimization of large-scale hydropower system operations.” J. Water Resour. Plann. Manage., 129(3), 178–188.
Birge, J. R., and Louveaux, F. V. (1997). Introduction to stochastic programming, Springer, New York.
Byrd, R. H., Gilbert, J. C., and Nocedal, J. (2000). “A trust region method based on interior point techniques for nonlinear programming.” Math. Program. B, 89(1), 149–185.
Cai, X., McKinney, D., and Lasdon, L. (2001). “Solving nonlinear water management models using a combined genetic algorithm and linear programming approach.” Adv. Water Resour., 24(6), 667–676.
Cohen, D., Shamir, U., and Sinai, G. (2000). “Optimal operation of multi-quality water supply systems—I: Introduction and the Q-C model.” Eng. Optim., 32(5), 549–584.
Crawley, P., and Dandy, G. (1993). “Optimal operation of multiple reservoir system.” J. Water Resour. Plann. Manage., 119(1), 1–17.
Dupačová, J., Consigli, G., and Wallace, S. W. (2000). “Scenarios for multistage stochastic programs.” Ann. Oper. Res., 100(1–4), 25–53.
Fletcher, R. (1985). “Practical methods of optimization.” Constrained optimization, Vol. 2, Wiley, New York.
Grantz, K., Rajagopalan, B., Zagona, E., and Clark, M. (2007). “Water management applications of climate-based hydrologic forecasts: Case study of the Truckee-Carson river basin.” J. Water Resour. Plann. Manage., 133(4), 339–350.
Hiew, K., Labadie, J., and Scott, J. (1989). “Optimal operational analysis of the Colorado-Big Thompson project.” Computerized decision support systems for water managers, J. Labadie, et al., eds., ASCE, Reston, VA, 632–646.
Housh, M. (2011). “Optimal management of regional water resources systems under uncertainty.” Ph.D. thesis, Technion-Israel Institute of Technology, 〈http://mashorhoush.wix.com/index〉 (Jun. 8, 2013).
Housh, M., Ostfeld, A., and Shamir, U. (2012). “Seasonal multi-year optimal management of quantities and salinities in regional water supply systems.” Environ. Modell. Soft., 37, 55–67.
Kracman, D. R., McKinney, D. C., Watkins Jr. D. W., and Lasdon, L. S. (2006). “Stochastic optimization of the highland lakes system in Texas.” J. Water Resour. Plann. Manage., 132(2), 62–70.
Labadie, J. W. (2004). “Optimal operation of multi-reservoir systems: State-of-the-art review.” J. Water Resour. Plann. Manage., 130(2), 93–111.
Markowitz, H. (1959). Portfolio selection, Yale University Press, New Haven, CT.
MATLAB [Computer software]. Natick, MA, MathWorks, Inc.
Miettinen, K. (1999). Nonlinear multi-objective optimization, Kluwer Academic Publishers, Boston.
Mulvey, J. M., and Ruszczynski, A. (1995). “A new scenario decomposition method for large-scale stochastic optimization.” Oper. Res., 43(3), 477–490.
Mulvey, J. M., Vanderbei, R. J., and Zenios, S. A. (1995). “Robust optimization of large-scale systems.” Oper. Res., 43(2), 264–281.
Ostfeld, A., and Shamir, U. (1993). “Optimal operation of multi-quality networks. I: Steady-state conditions.” J. Water Resour. Plann. Manage., 119(6), 645–662.
Peng, C. S., and Buras, N. (2000). “Practical estimation of inflows into multireservoir system.” J. Water Resour. Plann. Manage., 126(5), 331–334.
Philbrick, C. R., and Kitanidis, P. K. (1999). “Limitations of deterministic optimization applied to reservoir operations.” J. Water Resour. Plann. Manage., 125(3), 35–142.
Raman, H., and Chandramouli, V. (1996). “Deriving a general operating policy for reservoirs using neural network.” J. Water Resour. Plann. Manage., 122(5), 342–347.
Rockafellar, R. T., and Wets, R. J. B. (1991). “Scenarios and policy aggregation in optimization under uncertainty.” Math. Oper. Res., 16(1), 119–147.
Saad, M., Turgeon, A., and Stedinger, J. R. (1992). “Censored-data correlation and principal component dynamic programming.” Water Resour. Res., 28(8), 2135–2140.
Seifi, A., and Hipel, K. (2001). “Interior-point method for reservoir operation with stochastic inflows.” J. Water Resour. Plann. Manage., 127(1), 48–57.
Tu, M., Tsai, F. T., and Yeh, W. W. (2005). “Optimization of water distribution and water quality by hybrid genetic algorithm.” J. Water Resour. Plann. Manage., 131(6), 431–440.
Vasiliadis, H., and Karamouz, M. (1994). “Demand-driven operation of reservoirs using uncertainty-based optimal operating policies.” J. Water Resour. Plann. Manage., 120(1), 101–114.
Waltz, R. A., Morales, J. L., Nocedal, J., and Orban, D. (2006). “An interior algorithm for nonlinear optimization that combines line search and trust region steps.” Math. Program., 107(3), 391–408.
Watkins, D. W., and McKinney, D. C. (1997). “Finding robust solutions to water resources problems.” J. Water Resour. Plann. Manage., 123(1), 49–58.
Yates, D., Sieber, J., Purkey, D., and Huber-Lee, A. (2005). “WEAP21—A demand priority and preference-driven water planning model. Part 1: Model characteristics.” Water Int., 30(4), 487–500.
Zaide, M. (2006). “A model for multiyear combined optimal management of quantity and quality in the Israeli national water supply system.” M.Sc. thesis, Technion—I.I.T., Israel, 〈http://urishamir.wri.technion.ac.il/〉 (Aug. 6, 2013).
Information & Authors
Information
Published In
Copyright
© 2013 American Society of Civil Engineers.
History
Received: Nov 21, 2011
Accepted: Aug 31, 2012
Published online: Sep 4, 2012
Discussion open until: Feb 4, 2013
Published in print: Nov 1, 2013
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.