Technical Papers
Jun 5, 2018

Experimenting with Water Supply Planning Objectives Using the Eldorado Utility Planning Model Multireservoir Testbed

Publication: Journal of Water Resources Planning and Management
Volume 144, Issue 8

Abstract

This paper introduces a generic multireservoir planning testbed called the Eldorado Utility Planning Model (EUPM). The purpose of the EUPM is to facilitate experimentation with advanced water supply planning tools and techniques using a complex system that is not subject to the sensitivities or paradigms of real-world case study models. The model centers on a hypothetical Colorado utility and incorporates the regional context of the western United States, e.g., competition between water users and the spatial and temporal complexities that impact water availability. The benefits of the EUPM are demonstrated through an experimental multiobjective evolutionary algorithm (MOEA) optimization problem formulation designed to generate informative tradeoffs without the use of uncertain estimates of monetary costs. Incorporating two performance measures—minimization of new storage and of new supply—into the set of long-term planning objectives produces a suite of planning alternatives that can facilitate the application of human judgment to broader planning policy discussions, including the implications that a portfolio has on total plan cost.

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Acknowledgments

This work was funded by the National Oceanographic and Atmospheric Administration (NOAA) through their Sectoral Applications Research Program (SARP), Grant No. NA14OAR4310251. We would like to thank the following water supply agencies for contributing their time and expertise to this study: City of Aurora, City of Boulder, Colorado Springs Utilities, Denver Water, City of Fort Collins, and Northern Water. We would also like to thank the staff and researchers at the Center for Advanced Decision Support for Water and Environmental Systems (CADSWES) for their contributions to this effort. Finally, we thank our reviewers for their valuable feedback and suggestions. The Eldorado Utility Planning Model and supporting data and documentation can be downloaded at: https://github.com/rebsmith/Eldorado-Utility-Planning-Model.

References

Abbott, P. O. 1985. Description of water-systems operations in the Arkansas River Basin, Colorado. Lakewood, CO: US Geological Survey.
Basdekas, L. 2014. “Is multiobjective optimization ready for water resources practitioners? Utility’s drought policy investigation.” J. Water Resour. Plan. Manage. 140 (3): 275–276. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000415.
Carpenter, S. R., D. Ludwig, and W. A. Brock. 1999. “Management of eutrophication for lakes subject to potentially irreversible change.” Ecol. Appl. 9 (3): 751–771. https://doi.org/10.1890/1051-0761(1999)009[0751:MOEFLS]2.0.CO;2.
Caulfield, H. C., Jr., et al. 1987. Voluntary basinwide water management South Platte River basin (No. 133). Fort Collins, CO: Colorado Water Resources Research Institute.
Clarkin, T., W. Raseman, J. Kasprzyk, and J. Herman. 2018. “Diagnostic assessment of constraints in multiobjective evolutionary algorithms for water resources.” J. Water Resour. Plan. Manage. 114 (8), in press. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000940.
Coello, C. A. C., G. B. Lamont, and D. A. V. Veldhuizen. 2007. “Evolutionary algorithms for solving multi-objective problems.” In Genetic and evolutionary computation, 2nd ed. New York, NY: Springer.
CSU (Colorado Springs Utilities). 2017a. Integrated water resources plan final report. Colorado Springs, CO: CSU.
CSU (Colorado Springs Utilities). 2017b. Integrated water resources plan technical Memo 21: Portfolio development and evaluation. Colorado Springs, CO: CSU.
Elkington, J. 2004. “Enter the triple bottom line.” In The triple bottom line: Does it all add up?, edited by A. Henriques and J. Richardson, 1–16. London, UK: Earthscan.
EU Framework. 1998. Understanding and monitoring the cost-determining factors of infrastructure projects: A user’s guide. Brussels, Belgium: European Commission.
Farmani, R., G. A. Walters, and D. A. Savic. 2005. “Trade-off between total cost and reliability for Anytown water distribution network.” J. Water Resour. Plan. Manage. 131 (3): 161–171. https://doi.org/10.1061/(ASCE)0733-9496(2005)131:3(161).
Fu, G., Z. Kapelan, J. Kasprzyk, and P. Reed. 2013. “Optimal design of water distribution systems using many-objective visual analytics.” J. Water Resour. Plan. Manage. 139 (6): 624–633. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000311.
Grüne, L., M. Kato, and W. Semmler. 2005. “Solving ecological management problems using dynamic programming.” J. Econ. Behav. Organ. 57 (4): 448–473. https://doi.org/10.1016/j.jebo.2005.04.002.
Hadka, D., and P. Reed. 2013. “Borg: An auto-adaptive many-objective evolutionary computing framework.” Evol. Comput. 21 (2): 231–259. https://doi.org/10.1162/EVCO_a_00075.
Hadka, D., P. M. Reed, and T. W. Simpson. 2012. “Diagnostic assessment of the Borg MOEA for many-objective product family design problems.” In Evolutionary Computation (CEC), 2012 IEEE Congress. Brisbane, Australia: IEEE.
Kasprzyk, J. R., S. Nataraj, P. M. Reed, and R. J. Lempert. 2013. “Many objective robust decision making for complex environmental systems undergoing change.” Environ. Model. Softw. 42 (Apr): 55–71. https://doi.org/10.1016/j.envsoft.2012.12.007.
Labadie, J. W. 2004. “Optimal operation of multireservoir systems: State-of-the-art review.” J. Water Resour. Plan. Manage. 130 (2): 93–111. https://doi.org/10.1061/(ASCE)0733-9496(2004)130:2(93).
Lall, U., and A. Sharma. 1996. “A nearest neighbor bootstrap for resampling hydrologic time series.” Water Resour. Res. 32 (3): 679–693. https://doi.org/10.1029/95WR02966.
Lempert, R. J. 2002. “A new decision sciences for complex systems.” Proc. Natl. Acad. Sci. 99 (S3): 7309–7313. https://doi.org/10.1073/pnas.082081699.
Lins, H. F. 2012. USGS hydro-climatic data network 2009 (HCDN-2009). Washington, DC: US Geological Survey.
Maheepala, S., G. Dandy, A. Marchi, F. Mirza, W. Wu, R. Daly, G. Hewa, L. Neumann, H. Maier, Y. He, S. Mathew, and J. Varia 2014. A decision support framework for identifying optimal water supply portfolios: Metropolitan Adelaide case study: Volume 1 main report. Adelaide, SA,: Goyder Institute for Water Research.
Maier, H. R., et al. 2014. “Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions.” Environ. Model. Softw. 62 (Dec): 271–299. https://doi.org/10.1016/j.envsoft.2014.09.013.
Mathew, S., and J. Varia. 2014. Overview of Amazon web services. Seattle, Washington: Amazon Web Services, Inc.
Matrosov, E. S., I. Huskova, J. R. Kasprzyk, J. J. Harou, C. Lambert, and P. M. Reed. 2015. “Many-objective optimization and visual analytics reveal key trade-offs for London’s water supply.” J. Hydrol. 531 (Part 3): 1040–1053. https://doi.org/10.1016/j.jhydrol.2015.11.003.
Meehl, G. A., C. Covey, K. E. Taylor, T. Delworth, R. J. Stouffer, M. Latif, B. McAvaney, and J. F. B. Mitchell. 2007. “THE WCRP CMIP3 multimodel dataset: A new era in climate change research.” Bull. Am. Meteorol. Soc. 88 (9): 1383–1394. https://doi.org/10.1175/BAMS-88-9-1383.
Mortazavi, M., G. Kuczera, A. Kiem, B. Henley, B. Berghout, and E. Turner. 2013. Robust optimization of urban drought security for an uncertain climate. Gold Coast, Australia: National Climate Change Adaptation Research Facility.
Murphy, L. J., G. C. Dandy, and A. R. Simpson. 1994. “Optimum design and operation of pumped water distribution systems.” In National Conf. Publication-Institution of Engineers Australia NCP, 149–149. Barton, Australia: Institution of Engineers.
Newell, R., and W. Pizer. 2001. Discounting the benefits of climate change mitigation: How much do uncertain rates increase valuations? Arlington, VA: Pew Center on Global Climate Change.
Nowak, K., J. Prairie, B. Rajagopalan, and U. Lall. 2010. “A nonparametric stochastic approach for multisite disaggregation of annual to daily streamflow.” Water Resour. Res. 46 (8). W08529. https://doi.org/10.1029/2009WR008530.
Pareto, V. 1896. Cours D’Economie Politique. Lausanne, Switzerland: Rouge.
Quinn, J. D., P. M. Reed, M. Giuliani, and A. Castelletti. 2017a. “Rival framings: A framework for discovering how problem formulation uncertainties shape risk management trade-offs in water resources systems.” Water Resour. Res. 53 (8): 7208–7233. https://doi.org/10.1002/wrcr.v53.8.
Quinn, J. D., P. M. Reed, and K. Keller. 2017b. “Direct policy search for robust multi-objective management of deeply uncertain socio-ecological tipping points.” Environ. Model. Softw. 92 (Jun): 125–141. https://doi.org/10.1016/j.envsoft.2017.02.017.
Reed, P. M., D. Hadka, J. D. Herman, J. R. Kasprzyk, and J. B. Kollat. 2013. “Evolutionary multiobjective optimization in water resources: The past, present and future.” Adv. Water Resour. 51 (Jan): 438–456. https://doi.org/10.1016/j.advwatres.2012.01.005.
Singh, R., P. Reed, and K. Keller. 2015. “Many-objective robust decision making for managing an ecosystem with a deeply uncertain threshold response.” Ecol. Soc. 20 (3): 1–32. https://doi.org/10.5751/ES-07687-200312.
Smith, R., J. Kasprzyk, and L. Dilling. 2017. “Participatory framework for assessment and improvement of tools (ParFAIT): Increasing the impact and relevance of water management decision support research.” Environ. Model. Softw. 95 (Sep): 432–446. https://doi.org/10.1016/j.envsoft.2017.05.004.
Smith, R., J. Kasprzyk, and E. Zagona. 2016. “Many-objective analysis to optimize pumping and releases in multireservoir water supply network.” J. Water Resour. Plan. Manage. 142 (2): 04015049. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000576.
State of Colorado. 2015. Colorado’s water plan. Denver: State of Colorado.
Walski, T. M., et al. 1987. “Battle of the network models: Epilogue.” J. Water Resour. Plan. Manage. 113 (2): 191–203. https://doi.org/10.1061/(ASCE)0733-9496(1987)113:2(191).
Walski, T. M. 2001. “The wrong paradigm—Why water distribution optimization doesn’t work.” J. Water Resour. Plan. Manag. 127 (4): 203–205. https://doi.org/10.1061/(ASCE)0733-9496(2001)127:4(203).
Walters, G. A., D. Halhal, D. Savic, and D. Ouazar. 1999. “Improved design of ‘Anytown’ distribution network using structured messy genetic algorithms.” Urban Water 1 (1): 23–38. https://doi.org/10.1016/S1462-0758(99)00005-9.
Woodbury, M., M. Baldo, D. Yates, and L. Kaatz. 2012. Joint front range climate change vulnerability study. Denver: Water Research Foundation.
Wu, W., H. R. Maier, G. C. Dandy, R. Leonard, K. Bellette, S. Cuddy, and S. Maheepala. 2016. “Including stakeholder input in formulating and solving real-world optimisation problems: Generic framework and case study.” Environ. Model. Softw. 79 (May): 197–213. https://doi.org/10.1016/j.envsoft.2016.02.012.
Zagona, E., T. J. Fulp, R. Shane, Y. Magee, and H. M. Goranflo. 2001. “RiverWare: A generalized tool for complex reservoir system modeling.” J. Am. Water Resour. Assoc. 37 (4): 913–929. https://doi.org/10.1111/jawr.2001.37.issue-4.
Zeff, H. B., J. R. Kasprzyk, J. D. Herman, P. M. Reed, and G. W. Characklis. 2014. “Navigating financial and supply reliability tradeoffs in regional drought management portfolios.” Water Resour. Res. 50 (6): 4906–4923. https://doi.org/10.1002/2013WR015126.

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Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 144Issue 8August 2018

History

Received: Sep 4, 2017
Accepted: Feb 8, 2018
Published online: Jun 5, 2018
Published in print: Aug 1, 2018
Discussion open until: Nov 5, 2018

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Authors

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Rebecca Smith [email protected]
Civil/Hydrologic Engineer, Bureau of Reclamation, Univ. of Colorado Boulder, 1777 Exposition Dr., St. 113, Boulder, CO 80301 (corresponding author). Email: [email protected]
Joseph Kasprzyk, A.M.ASCE [email protected]
Assistant Professor, Dept. of Civil Environmental and Architectural Engineering, Univ. of Colorado Boulder, UCB 607, Boulder, CO 80309. Email: [email protected]
Leon Basdekas [email protected]
Integrated Water Resources Planning Lead, Black and Veatch, 4600 S Syracuse St. #800, Denver, CO 80237. Email: [email protected]

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