The future of water resources systems analysis: Toward a scientific framework for sustainable water management

Water Resources Research

Volumn 51, Issue 8, 2015, Pages 6110-6124

  Brown, Casey M ^a   Lund, Jay R ^b   Cai, Ximing ^c   Reed, Patrick M ^d   Zagona, Edith A ^e   Ostfeld, Avi ^f   Hall, Jim ^g   Characklis, Gregory W ^h   Yu, Winston ⁱ   Brekke, Levi ^j  

^a University of Massachusetts   (United States)

^b University of California   (United States)

^c University of Illinois at Urbana Champaign   (United States)

^d Cornell University   (United States)

^e UNIVERSITY OF COLORADO   (United States)

^f TECHNION ISRAEL INSTITUTE OF TECHNOLOGY   (Israel)

^g UNIVERSITY OF OXFORD   (United Kingdom)

^h University of North Carolina at Chapel Hill   (United States)

ⁱ WORLD BANK   (United States)

^j U S BUREAU OF RECLAMATION   (United States)

more..

Author keywords

coupled human natural systems; decision analysis; operations research; water management; water planning; water resources systems analysis

Indexed keywords

CLIMATE CHANGE; DECISION MAKING; DECISION THEORY; OPERATIONS RESEARCH; SYSTEMS ANALYSIS; WATER CONSERVATION; WATER MANAGEMENT;

COUPLED HUMAN-NATURAL SYSTEMS; ECONOMIC INCENTIVE; ENERGY PRODUCTIONS; SUSTAINABLE WATER MANAGEMENT; WATER PLANNING; WATER RESOURCE SYSTEMS; WATER RESOURCES SYSTEMS; WATER SCARCITY;

WATER RESOURCES;

CLIMATE CHANGE; DECISION ANALYSIS; DECISION MAKING; DROUGHT; ECONOMIC IMPACT; ENERGY MARKET; FOOD PRODUCTION; SUSTAINABILITY; WATER MANAGEMENT; WATER PLANNING; WATER RESOURCE; WATER USE;

EID: 84941995000     PISSN: 00431397     EISSN: 19447973     Source Type: Journal    
DOI: 10.1002/2015WR017114     Document Type: Article

References (154)

1. Alemu, E. T., R. N. Palmer, A. Polebitski, and, B. Meaker, (2011), Decision support system for optimizing reservoir operations using ensemble streamflow predictions, J. Water Resour. Plann. Manage., 137 (1), 72-82.
2. Alperovits, E., and, U. Shamir, (1977), Design of optimal water distribution systems, Water Resour. Res., 13 (6), 885-900.
3. Babbar-Sebens, M., and, B. Minsker, (2010), A Case-Based Micro Interactive Genetic Algorithm (CBMIGA) for interactive learning and search: Methodology and application to groundwater monitoring design, Environ. Modell. Software, 25 (10), 1176-1187.
4. Banzhaf, H. S., (2009), Objective or multi-objective? Two historically competing visions for benefit-cost analysis, Land Econ., 85 (1), 3-23.
5. Basdekas, L., (2014), Is multiobjective optimization ready for water resources practitioners? Utility's drought policy investigation, J. Water Resour. Plann. Manage., 140 (3), 275-276.
6. Blöschl, G., M. Sivapalan, and, T. Wagener, (2013), Runoff Prediction in Ungauged Basins: Synthesis Across Processes, Places and Scales, Cambridge Univ. Press., Cambridge, UK
7. Braden, J. B., M. C. Jolejole-Foreman, and, D. W. Schneider, (2013), Humans and the water environment: The need for coordinated data collection, Water, 6 (1), 1-16.
8. Bredehoeft, J. D., and, R. A. Young, (1983), Conjunctive use of groundwater and surface water for irrigated agriculture: Risk aversion, Water Resour. Res., 19 (5), 1111-1121.
9. Brill, E. D., J. Flach, L. Hopkins, and, S. Ranjithan, (1990), MGA: A decision support system for complex, incompletely defined problems, IEEE Trans. Syst. Man Cybern., 20 (4), 745-757.
10. Brown, C., Y. Ghile, M. Laverty, and, K. Li, (2012), Decision scaling: Linking bottom-up vulnerability analysis with climate projections in the water sector, Water Resour. Res., 48, W09537, doi: 10.1029/2011WR011212.
11. Burges, S. J., (1979), Water resource systems planning in USA: 1776-1976, J. Water Resour. Plann. Manage. Div. Am. Soc. Civ. Eng., 105 (1), 91-111.
12. Cardwell, H., H. I. Jager, and, M. J. Sale, (1996), Designing instream flows to satisfy fish and human water needs, J. Water Resour. Plann. Manage., 122 (5), 356-363, doi: 10.1061/(ASCE)0733-9496(1996)122:5(356).
13. Chankong, V., and, Y. Haimes, (1983), Multiobjective Decision Making: Theory and Methodology, North-Holland, NY
14. Chicoine, D. L., S. C. Deller, and, G. Ramamurthy, (1986), Water demand estimation under block rate pricing: A simultaneous equation approach, Water Resour. Res., 22 (6), 859-863.
15. Coe, M. T., and, J. A. Foley, (2001), Human and natural impacts on the water resources of the Lake Chad basin, J. Geophys. Res., 106 (D4), 3349-3356.
16. Coello Coello, C., G. B. Lamont, and, D. A. Van Veldhuizen, (2007), Evolutionary Algorithms for Solving Multi-Objective Problems, 2 ed., Springer, NY
17. Cohon, J. L., and, D. H. Marks, (1973), Multiobjective screening models and water resource investment, Water Resour. Res., 9 (4), 826-836.
18. Cohon, J. L., and, D. H. Marks, (1975), A review and evaluation of multiobjective programming techniques, Water Resour. Res., 11 (2), 208-220.
19. Cohon, J. L., R. L. Church, and, D. P. Sheer, (1979), Generating multiobjective trade-offs: An algorithm for bicriterion problems, Water Resour. Res., 15 (5), 1001-1010.
20. Draper, A. J., M. W. Jenkins, K. W. Kirby, J. R. Lund, and, R. E. Howitt, (2003), Economic-engineering optimization for California water management, J. Water Resour. Plann. Manage., 129 (3), 155-164.
21. Eiger G., U. Shamir, and, A. Ben-Tal, (1994), Optimal design of water distribution networks, Water Resour. Res., 30 (9), 2637-2646.
22. Eijgenraam, C., J. Kind, C. Bak, R. Brekelmans, D. k. den Hertog, M. Duits, K. Roos, P. Vermeer, and, W. Kuijken, (2014), Economically efficient standards to protect the Netherlands against flooding, Interfaces, 44 (1), 7-21.
23. Ekelund, R. B., and, R. F. Hebert, (1999), Secret Origins of Modern Microeconomics: Dupuit and the Engineers, Univ. of Chicago Press, Chicago, Ill.
24. Emch, P. G., and, W. W. Yeh, (1998), Management model for conjunctive use of coastal surface water and ground water, J. Water Resour. Plann. Manage., 124 (3), 129-139.
25. Environment Agency (2014), Flood and Coastal Erosion Risk Management: Long-Term Investment Scenarios (LTIS) 2014, Bristol.
26. Dupuit, J., (1844), De la mesure de l'utilité des travaux publics, Ann. Ponts Chaussées Mem. Doc., 8 (2), 332-375.
27. Folke, C., S. Carpenter, T. Elmqvist, L. Gunderson, C. S. Holling, and, B. Walker, (2002), Resilience and sustainable development: Building adaptive capacity in a world of transformations, Ambio, 31 (5), 437-440.
28. Frederick, K. D., and, DC Major, (1997), Climate change and water resources, Clim. Change, 37 (1), 7-23.
29. Fujiwara, O., and, D. B. Khang, (1990), A two-phase decomposition method for optimal design of looped water distribution networks, Water Resour. Res., 26 (4), 539-549.
30. Gao, Y., R. M. Vogel, C. N. Kroll, N. L. Poff, and, J. D. Olden, (2009), Development of representative indicators of hydrologic alteration, J. Hydrol., 374 (1), 136-147.
31. Gessler, J., (1985), Pipe network optimization by enumeration, in Proceedings, Computer Applications for Water Resources, pp. 572-581, Am. Soc. of Civ. Eng., NY
32. Ghile, Y. B., M. Ü. Taner, C. Brown, J. G. Grijsen, and, A. Talbi, (2014), Bottom-up climate risk assessment of infrastructure investment in the Niger River Basin, Clim. Change, 122 (1-2), 97-110.
33. Global Water Partnership (2003), Integrated water resources management, GWO Tech.Rep. 3, Stockholm, Sweden.
34. Gorelick, S. M., (1983), A review of distributed parameter groundwater management modeling methods, Water Resour. Res., 19 (2), 305-319.
35. Gorelick, S. M., B. Evans, and, I. Remson, (1983), Identifying sources of groundwater pollution: An optimization approach, Water Resour. Res., 19 (3), 779-790.
36. Griffin, R. C., (2006), Water Resource Economics: The Analysis of Scarcity, Policies and Projects, MIT Press, Cambridge, Mass.
37. Groves, D. G., M. Davis, R. Wilkinson, and, R. Lempert, (2008), Planning for climate change in the Inland Empire: Southern California, Water Resour. IMPACT, 10 (4), 14-17.
38. Guariso, G., and, D. Whittington, (1987), Implications of Ethiopian water development for Egypt and Sudan, Int. J. Water Resour. Dev., 3 (2), 105-114.
39. Hadka, D., and, P. Reed, (2015), Large-scale parallelization of the Borg multiobjective evolutionary algorithm for many-objective optimization of complex environmental systems, Environ. Modell. Software, 69, 353-369.
40. Haimes, Y., and, A. Hall, (1977), Sensitivity, responsivity, stability and irreversibility as multiple objectives in civil systems, Adv. Water Resour., 1 (2), 71-81.
41. Halhal, D., G. A. Walters, D. A. Savic, and, D. Ouazar, (1999), Scheduling of water distribution system rehabilitation using structured messy genetic algorithms, Evol. Comput., 7 (3), 311-329.
42. Hall, J. W., R. J. Lempert, K. Keller, A. Hackbarth, C. Mijere, and, D. J. McInerney, (2012), Robust climate policies under uncertainty: A comparison of robust decision making and Info-Gap methods, Risk Anal., 32 (10), 1657-1672.
43. Hanak, E., J. Lund, A. Dinar, B. Gray, R. Howitt, J. Mount, P. Moyle, and, B. Thompson, (2011), Managing California's Water: From Conflict to Reconciliation, 500 pp., Publ. Policy Inst. of Calif., San Francisco.
44. Harou, J. J., Pulido-Velazquez, M., Rosenberg, D. E., Medellin-Azuara, J., Lund, J. R., and, R. E. Howitt, (2009). Hydro-economic models: Concepts, design, applications and future prospects, J. Hydrol., 375, 627-643.
45. Herman, J. D., H. B. Zeff, P. M. Reed, and, G. W. Characklis, (2014), Beyond optimality: Multistakeholder robustness tradeoffs for regional water portfolio planning under deep uncertainty, Water Resour. Res., 50, 7692-7713, doi: 10.1002/2014WR015338.
46. Hewitt, J. A., and, W. M. Hanemann, (1995), A discrete/continuous choice approach to residential water demand under block rate pricing, Land Econ., 71 (2), 173-192.
47. Hobbs, B. F., P. T. Chao, and, B. N. Venkatesh, (1997), Using decision analysis to include climate change in water resources decision making, Clim. Change, 37 (1), 177-202.
48. Holland J. H., (1975), Adaptation in Natural and Artificial Systems, The Univ. of Mich. Press, Ann Arbor.
49. Jeuland, M., and, D. Whittington, (2014), Water resources planning under climate change: Assessing the robustness of real options for the Blue Nile, Water Resour. Res., 50, 2086-2107, doi: 10.1002/2013WR013705.
50. Kanta, L., and, E. Zechman, (2013), Complex adaptive systems framework to assess supply-side and demand-side management for urban water resources, J. Water Resour. Plann. Manage., 140 (1), 75-85.
51. Karamouz, M., R. Kerachian, and, B. Zahraie, (2004), Monthly water resources and irrigation planning: Case study of conjunctive use of surface and groundwater resources, J. Irrig. Drain. Eng., 130 (5), 391-402.
52. Kasprzyk, J. R., P. M. Reed, B. Kirsch, and, G. Characklis, (2012), Many-objective de Novo water supply Portfolio planning under deep uncertainty, Environ. Modell. Software, 34, 87-104.
53. Kasprzyk, J. R., S. Nataraj, P. Reed, and, R. Lempert, (2013), Many-objective robust decision making for complex environmental systems undergoing change, Environ. Modell. Software, 42, 55-71.
54. Kelman, J., J. R. Stedinger, L. A. Cooper, E. Hsu, and, S. Q. Yuan, (1990), Sampling stochastic dynamic programming applied to reservoir operation, Water Resour. Res., 26 (3), 447-454.
55. Kessler, A., and, U. Shamir, (1989), Analysis of the linear programming gradient method for optimal design of water supply networks, Water Resour. Res., 25 (7), 1469-1480.
56. Kline, P., and, E. Moretti, (2014), Local Economic Development, agglomeration economies, and the big push: 100 years of evidence from the Tennessee Valley Authority. Quart. J. Econ., 129 (1), 275-331.
57. Klipsch, J. D., and, B. M. Hurst, (2003), HEC-RESSIM: Reservoir System Simulation, U.S. Army Corps of Eng., Davis, Calif.
58. Koopmans, T., (1951), Analysis of production as an efficient combination of activities, in Activity Analysis of Production and Allocation, edited by, T. Koopmans, pp. 33-97, John Wiley, NY
59. Kuhn, H., and, A. Tucker, (1951), Nonlinear programming, in Proceedings of the Second Berkeley Symposium on Mathematical Statistics and Probability, edited by J. Neyman, pp. 481-492, Univ. of Calif. Press, Berkeley.
60. Labadie, J. W., (1997), Reservoir system optimization models, in Water Resources Update, 108, The Univ. Counc. on Water Resour. UCOWR, South. Illi. Univ., Carbondale.
61. Labadie, J. W., (2004), Optimal operation of multireservoir systems: State-of-the-art review, J. Water Resour. Plann. Manage., 130 (2), 93-111.
62. Lall, U., (2014), Debates: The future of hydrological sciences: A (common) path forward? One water. One world. Many climes. Many souls, Water Resour. Res., 50, 5335-5341, doi: 10.1002/2014WR015402.
63. Langsdale, S., A. Beall, E. Bourget, E. Hagen, S. Kudlas, R. Palmer, and, W. Werick, (2013), Collaborative modeling for decision support in water resources: Principles and best practices, J. Am. Water Resour. Assoc., 49 (3), 629-638.
64. Lempert, R. J., D. G. Groves, S. W. Popper, and, S. C. Bankes, (2006), A general, analytic method for generating robust strategies and narrative scenarios, Manage. Sci., 52 (4), 514-528.
65. Lettenmaier, D. P., (2008), Have we dropped the ball on water resources research?, J. Water Resour. Plann. Manage., 134 (6), 491-492.
66. Loucks, D. P., (1992), Water resource systems models: Their role in planning, J. Water Resour. Plann. Manage., 118 (3), 214-223.
67. Loucks, D. P., (1995), Developing and implementing decision support systems: A critique and a challenge, Water Resour. Bull., 31 (4), 571-582.
68. Loucks, D. P., and, E. van Beek, (2005), Water Resources Systems Planning and Management: An Introduction to Methods, Models and Applications, U. N. Educ., Sci., and Cult. Organ., Paris.
69. Loucks, D. P., J. R. Stedinger, and, D. A. Haith, (1981), Water Resources Systems Planning and Analysis, Prentice Hall, Englewood Cliffs, N. J.
70. Lund, J.R., (2010), Prospects for systems analysis in an age of changing systems: Thoughts from a Saturday afternoon, in World Environmental and Water Resources Congress Proceedings 2010, Am. Soc. of Civ. Eng., Environ. and Water Resour. Inst., Washington, DC
71. Lund, J.R., and, I. Ferreira, (1996), Operating rule optimization for the Missouri River reservoir system, J. Water Resour. Plann. Manage., 122 (4), 287-295.
72. Lund, J. R., X. Cai, and, G. W. Characklis, (2006), Economic engineering of environmental and water resource systems, J. Water Resour. Plann. Manage., 132 (5), 399-402.
73. Lund, J., E. Hanak, W. Fleenor, W. Bennett, R. Howitt, J. Mount, and, P. Moyle, (2010), Comparing Futures for the Sacramento-San Joaquin Delta, Univ. of Calif. Press, Berkeley.
74. Maass, A., M. Hufschmidt, R. Dorfman, H. Thomas, S. Marglin, and, G. Fair, (1962), Design of Water-Resource Systems: New Techniques for Relating Economic Objectives, Engineering Analysis, and Governmental Planning, Harvard Univ. Press, Cambridge, Mass.
75. Madani, K., (2010), Game theory and water resources, J. Hydrol., 381 (3), 225-238.
76. Maier, H. R., et al., (2014), Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions, Environ. Modell. Software, 62, 271-299.
77. Major, DC, (1969), Benefit-cost ratios for projects in multiple objective investment programs, Water Resour. Res., 5 (6), 1174-1178.
78. Matalas, N. C., (2003), Harold A. Thomas Jr.(1913-2002), Eos Trans. AGU, 84 (13), 120-120.
79. Mays, L. W., and, Y. K. Tung, (2002), Hydrosystems Engineering and Management, Water Resour. Publ., Highlands Ranch, Colo.
80. McKinney, DC, and, M. D. Lin, (1996), Pump-and-treat ground-water remediation system optimization, J. Water Resour. Plann. Manage., 122 (2), 128-136.
81. Micklin, P., (1988), The dessication of the Aral Sea: A water management disaster in the Soviet Union, Science, 241 (4870), 1170-1176, doi: 10.1126/science.241.4870.1170.
82. Milly, P. C. D., B. Julio, F. Malin, M. Robert, W. Zbigniew, P. Dennis, and, J. Ronald, (2008), Stationarity is dead: Whither water management?, Science, 319(5863), 573-574.
83. Molle, F., (2006), Planning and Managing Water Resources at the River-Basin Level: Emergence and Evolution of a Concept, vol. 16, Int. Water Manage. Inst., Colombo, Sri Lanka.
84. Monarchi, D. E., C. C. Kisiel, and, L. Duckstein, (1973), Interactive multiobjective programing in water resources: A case study, Water Resour. Res., 9 (4), 837-850.
85. Mulligan, K. B., C. Brown, Y. C. E. Yang, and, D. P. Ahlfeld, (2014), Assessing groundwater policy with coupled economic-groundwater hydrologic modeling, Water Resour. Res., 50, 2257-2275, doi: 10.1002/2013WR013666.
86. National Research Council (1991), Challenges and Opportunities in the Hydrologic Sciences, Natl. Acad. Press, Washington, DC
87. National Research Council (2004), Confronting the Nation's Water Problems: The Role of Research, Natl. Acad. Press, Washington DC
88. Nicklow, J. W., et al., (2010), State of the art for genetic algorithms and beyond in water resources planning and management, J. Water Resour. Plann. Manage., 136 (4), 412-432.
89. Nilsson, C., C. A. Reidy, M. Dynesius, and, C. Revenga, (2005), »Fragmentation and flow regulation of the World's large river systems, Science, 308 (5720), 405-408, doi: 10.1126/science.1107887.
90. Null, S., and, J. R. Lund, (2006), Re-assembling Hetch Hetchy: Water supply implications of removing O'Shaughnessy Dam, J. Am. Water Resour. Assoc., 42 (4), 395-408.
91. Ostfeld, A., and, U. Shamir, (1996), Design of optimal reliable multiquality water supply systems, J. Water Resour. Plann. Manage. Div. Am. Soc. Civ. Eng., 122 (5), 322-333.
92. Palmer, R. N., W. J. Werick, A. MacEwan, and, A. W. Woods, (1999), Modeling water resources opportunities, challenges and trade-offs: The use of shared vision modeling for negotiation and conflict resolution, in Proceedings of the Water Resources Planning and Management Conference, Am. Soc. of Civ. Eng./Environ. and Water Resour. Inst., Washington, DC
93. Palmer, R. N., H. E. Cardwell, M. A. Lorie, and, W. Werick, (2013), Disciplined planning, structured participation, and collaborative modeling: Applying shared vision planning to water resources, J. Am. Water Resour. Assoc., 49 (3), 614-628.
94. Pareto, V., (1896), Cours D'Economie Politique, Rouge, Lausanne.
95. Provencher, B., and, O. Burt, (1994), Approximating the optimal groundwater pumping policy in a multiaquifer stochastic conjunctive use setting, Water Resour. Res., 30 (3), 833-843.
96. Quindry G. E., E. D. Brill, J. C. Liebman, and, A. R. Robinson, (1979), Comment on »Design of optimal water distribution systems» by Alperovits E. and Shamir U., Water Resour. Res., 15 (6), 1651-1654.
97. Quindry G. E., E. D. Brill, and, J. C. Liebman, (1981), Optimization of looped water distribution systems, J. Environ. Eng. Div. Am. Soc. Civ. Eng., 107 (EE4), 665-679.
98. Ray, P. A., D. W. Watkins Jr,., R. M. Vogel, and, P. H. Kirshen, (2013), Performance-based evaluation of an improved robust optimization formulation, J. Water Resour. Plann. Manage., 140 (6), 04014006.
99. Rayner, S., D. Lach, and, H. Ingram, (2005), Weather forecasts are for wimps: Why water resource managers do not use climate forecasts, Clim. Change, 69 (2-3), 197-227.
100. Reed, P., and, D. Hadka, (2015), Evolving many-objective water management to exploit exascale computing, Water Resour. Res., 50, 8367-8373, doi: 10.1002/2014WR015976.
101. Reed, P., D. Hadka, J. Herman, J. R. Kasprzyk, and, J. B. Kollat, (2013), Evolutionary multiobjective optimization in water resources: The past, present, and future, Adv. Water Resour., 51, 438-456.
102. Reuss, M., (1992), Coping with uncertainty: Social scientists, engineers, and federal water resources planning, Nat. Resour. J., 32, 101.
103. Reuss, M., (2003), Is it time to resurrect the Harvard water program?, J. Water Resour. Plann. Manage., 129 (5), 357-360.
104. ReVelle, C., (1999), Optimizing Reservoir Resources, John Wiley, NY
105. Rogers, P., (1994), Assessing the socioeconomic consequences of climate change on water resources, in Assessing the Impacts of Climate Change on Natural Resource Systems, pp. 179-208, Springer, Netherlands.
106. Rogers, P. P., and, M. B. Fiering, (1986), Use of systems analysis in water management, Water Resour. Res., 22 (9S), 146S-158S.
107. Rogers, P., and, S. Leal, (2010), Running Out of Water: The Looming Crisis and Solutions to Conserve Our Most Precious Resource, Macmillan, NY
108. Rogers, P., and, D. V. Smith, (1970), The integrated use of ground and surface water in irrigation project planning, Am. J. Agric. Econ., 52 (1), 13-24.
109. Rogers, P., C. Hurst, and, N. Harshadeep, (1993), Water resources planning in a strategic context: Linking the water sector to the national economy, Water Resour. Res., 29 (7), 1895-1906.
110. Rosegrant, M. W., X. Cai, and, S. A. Cline, (2002), World Water and Food to 2025: Dealing With Scarcity, Intl. Food Policy Res. Inst., Washington, DC
111. Rosenberg, D. E., T. Tarawneh, R. Abdel-Khaleq, and, J. R. Lund, (2007), Modeling integrated water-user decisions in intermittent supply systems, Water Resour. Res., 43, W07425, doi: 10.1029/2006WR005340.
112. Sale, M. J., E. D. Brill Jr,., and, E. E. Herricks, (1982), An approach to optimizing reservoir operation for downstream aquatic resources, Water Resour. Res., 18 (4), 705-712.
113. Savic, D. A., and, G. A. Walters, (1997), Genetic algorithms for least-cost design of water distribution networks, J. Water Resour. Plann. Manage., 123 (2), 67-77.
114. Schaake, J. C., and, D. Lai, (1969), Linear programming and dynamic programming application to water distribution network design, Rep. 116, Dep. of Civ. Eng., Mass. Inst. of Technol., Cambridge, Mass.
115. Schlüter, M., and, C. Pahl-Wostl, (2007), Mechanisms of resilience in common-pool resource management systems: An agent-based model of water use in a river basin, Ecol. Soc., 12 (2), 1-22 [online].
116. Schoengold, K., D. L. Sunding, and, G. Moreno, (2006), Price elasticity reconsidered: Panel estimation of an agricultural water demand function, Water Resour. Res., 42, W09411, doi: 10.1029/2005WR004096.
117. Schwanenberg, D., B. P. J. Becker, and, M. Xu, (2015), The open RTC-Tools software framework for modeling real-time control in water resources systems, J. Hydroinform., 17 (1), 130-148.
118. Shiau, J. T., and, F. C. Wu, (2007), Pareto-optimal solutions for environmental flow schemes incorporating the intra-annual and interannual variability of the natural flow regime, Water Resour. Res., 43, W06433, doi: 10.1029/2006WR005523.
119. Simpson A. R., G. C. Dandy, and, L. J. Murphy, (1994), Genetic algorithms compared to other techniques for pipe optimization, J. Water Resour. Plann. Manage. Div., Am. Soc. Civ. Eng., 120 (4), 423-443.
120. Simonovic, S. P., (1992), Reservoir systems analysis: Closing gap between theory and practice, J. Water Resour. Plann. Manage., 118 (3), 262-280.
121. Simonovic, S. P., and, D. H. Burn, (1989), An improved methodology for short-term operation of a single multipurpose reservoir, Water Resour. Res., 25 (1), 1-8.
122. Singh, A., B. S. Minsker, and, A. J. Valocchi, (2008), An interactive multi-objective optimization framework for groundwater inverse modeling, Adv. Water Resour., 31 (10), 1269-1283.
123. Singh, A., D. D. Walker, B. S. Minsker, and, A. J. Valocchi, (2010), Incorporating subjective and stochastic uncertainty in an interactive multi-objective groundwater calibration framework, Stochastic Environ. Res. Risk Assess., 24 (6), 881-898.
124. Sivapalan, M., H. H. Savenije, and, G. Blöschl, (2012), Socio-hydrology: A new science of people and water, Hydrol. Processes, 26 (8), 1270-1276.
125. Stakhiv, E. Z., (1998), Policy implications of climate change impacts on water resources management, Water Policy, 1 (2), 159-175.
126. Steinschneider, S., A. Bernstein, R. Palmer, and, A. Polebitski, (2013), Reservoir management optimization for basin-wide ecological restoration in the Connecticut River, J. Water Resour. Plann. Manage., 140 (9), 04014023.
127. Thompson, S. E., et al., (2013), Developing predictive insight into changing water systems: Use-inspired hydrologic science for the Anthropocene, Hydrol. Earth Syst. Sci., 17 (12), 5013-5039.
128. U.S. Bureau of Reclamation (2012), Colorado River Basin Water Supply and Demand Study, 85 pp., Denver, Colo.
129. Vaux, H. J., and, R. E. Howitt, (1984), Managing water scarcity: An evaluation of interregional transfers, Water Resour. Res., 20 (7), 785-792.
130. Vemuri, V., (1974), Multiple-objective optimization in water resource systems, Water Resour. Res., 10 (1), 44-48.
131. Vogel, R. M., (2011), Hydromorphology, J. Water Resour. Plann. Manage., 137, 147-149.
132. Vogel, R. M., J. Sieber, S. A. Archfield, M. P. Smith, C. D. Apse, and, A. Huber-Lee, (2007), Relations among storage, yield, and instream flow, Water Resour. Res., 43, W05403, doi: 10.1029/2006WR005226.
133. Vörösmarty, C. J., et al., (2010), Global threats to human water security and river biodiversity, Nature, 467 (7315), 555-561.
134. Wagener, T., M. Sivapalan, P. A. Troch, B. L. McGlynn, C. J. Harman, H. V. Gupta, P. Kumar, P. S. C. Rao, N. B. Basu, and, J. S. Wilson, (2010), The future of hydrology: An evolving science for a changing world, Water Resour. Res., 46, W05301, doi: 10.1029/2009WR008906.
135. Waggoner, P. E., (1990), [Ed.] Climate Change and US Water Resources, Wiley-Interscience, NY
136. Wainwright, J., (2008), Can modelling enable us to understand the role of humans in landscape evolution?, Geoforum, 39 (2), 659-674.
137. Watkins, D., Jr,., and, D. McKinney, (1997), Finding robust solutions to water resources problems. J. Water Resour. Plann. Manage., 123 (1), 49-58.
138. Weiskel, P. K., R. M. Vogel, P. A. Steeves, P. J. Zarriello, L. A. DeSimone, and, K. G. Ries, (2007), Water use regimes: Characterizing direct human interaction with hydrologic systems, Water Resour. Res., 43, W04402, doi: 10.1029/2006WR005062.
139. Werick, W. J., W. Whipple Jr,., and, J. Lund, (1996), ACT-ACF Basinwide Study, U.S. Army Corps of Eng. Mobile Dist., Mobile, Ala.
140. Whateley, S., R. N. Palmer, and, C. Brown, (2014), Seasonal hydroclimatic forecasts as innovations and the challenges of adoption by water managers, J. Water Resour. Plann. Manage., 141 (5), 04014071.
141. Whittington, D., and, J. Zhao, (2015), Water and economic growth: A literature review, in GWP-OECD Task Force on Water Security and Sustainable Growth.
142. Wittfogel, K. A., (1956), The Hydraulic Civilizations, Univ. of Chicago Press, Chicago, Ill.
143. World Bank (2010a), The Zambezi River Basin: A Multi-Sector Investment Opportunities Analysis: State of the Basin, Washington, DC [Available at https://openknowledge.worldbank.org/handle/10986/2961 License: Creative Commons Attribution CC BY 3.0.]
144. World Bank (2010b), Afghanistan: Scoping Strategic Options for Development of the Kabul River Basin: A Multisectoral Decision Support System Approach, Washington, DC [Available at https://openknowledge.worldbank.org/handle/10986/18422 License: CC BY 3.0 IGO.]
145. Worster, D., (1985), Rivers of empire: Water, Aridity, and The Growth of the American West, Oxford Univ. Press, Oxford, UK
146. Wurbs, R.A., (1991), Optimization of multiple-purpose reservoir system operations: A review of modeling and analysis approaches, Res. Doc. 34, NTIS-AD-A236080/8INZ, 87 p., U.S. Army Corps of Eng., Hydrol. Eng. Cent., Davis, Calif.
147. Wurbs, R. A., (1993), Reservoir system simulation and optimization models, J. Water Resour. Plann. Manage. Div. Am. Soc. Civ. Eng., 119 (4), 455-472.
148. Yang, Y. C. E., C. M. Brown, W. H. Yu, J. L. Wescoat, Jr. and C. Ringler (2014), Water governance and adaptation to climate change in the Indus river basin, J. Hydrol., 519, 2527-2537.
149. Yates, D., J. Sieber, D. Purkey, and, A. Huber-Lee, (2005), WEAP21: A demand-, priority-, and preference-driven water planning model: Part 1:Model characteristics, Water Int., 30 (4), 487-500.
150. Yeh, W. W. G., (1985), Reservoir management and operations models: A state-of-the-art review, Water Resour. Res., 21 (12), 1797-1818.
151. Yeh, W. W. G., (1992), Systems analysis in ground-water planning and management, J. Water Resour. Plann. Manage., 118 (3), 224-237.
152. Yu, W., Y.-C. Yang, A. Savitsky, D. Alford, C. Brown, J. Wescoat, D. Debowicz, and, S. Robinson, (2013), Indus Basin of Pakistan: Impacts of Climate Risks on Water and Agriculture, World Bank, Washington, DC
153. Zagona, E., T. Fulp, R. Shane, T. Magee, and, H. Goranflo, (2001), Riverware: A generalized tool for complex reservoir systems modeling, J. Am. Water Resour. Assoc., 37 (4), 913-929.
154. Zeff, H. B., and, G. W. Characklis, (2013), Managing water utility financial risks through third-party index insurance contracts, Water Resour. Res., 49, 4939-4951, doi: 10.1002/wrcr.20364.