Exploring the Relationships among Reliability, Resilience, and Vulnerability of Water Supply Using Many-Objective Analysis
Publication: Journal of Water Resources Planning and Management
Volume 143, Issue 8
Abstract
Reliability, resilience, and vulnerability are the most commonly used performance criteria for water supply planning and management. However, there is lack of understanding of the relationships among these criteria. This paper aims to reveal the relationships among them by using emerging many-objective visual analytics. To measure different aspects of water supply systems in terms of reliability, resilience, and vulnerability, a suite of five metrics are considered: water supply reliability, mean and maximum deficits of water supply, and mean and maximum durations of water shortage. Results obtained in this study reveal that both conflicting and synergetic relationships exist between reliability and resilience (mean deficit of water supply), and between vulnerability (mean duration of water shortage) and resilience (mean deficit of water supply) in different regions of the objective space. A more complete picture of the relationships among reliability, resilience, and vulnerability than reported in the prior literature is provided in this paper thanks to the use of many-objective analysis. This study provides an in-depth understanding of the relationships and can help decision makers make an informed decision in the management of water resources systems.
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Acknowledgments
This study is supported by the National Natural Science Foundation of China (Grant Nos. 91547116, 51320105010, and 51579027) and is partly funded by the national science and technology major project under Grant 2014ZX03005001. The last author was partially supported by the EPSRC under the Building Resilience into Risk Management project (EP/N010329/1). The authors would like to thank DecisionVis for providing access to the DiscoveryDV software.
References
Ajami, N. K., Hornberger, G. M., and Sunding, D. L. (2008). “Sustainable water resource management under hydrological uncertainty.” Water Resour. Res., 44(11), W11406.
Asefa, T., Wanakule, N., Adams, A., Shelby, J., and Clayton, J. (2014). “On the use of system performance metrics for assessing the value of incremental water-use permits.” J. Water Resour. Plann. Manage., 04014012.
Bayazit, M., and Unal, N. E. (1990). “Effects of hedging on reservoir performance.” Water Resour. Res., 26(4), 713–719.
Butler, D., et al. (2016). “Reliable, resilient and sustainable water management: The Safe and SuRe approach.” Global Challenges, 1, 63–77.
Cai, X., McKinney, D. C., and Lasdon, L. S. (2002). “A framework for sustainability analysis in water resources management and application to the Syr Darya Basin.” Water Resour. Res., 38(6), 1085–1098.
Celeste, A. B., and Billib, M. (2009). “Evaluation of stochastic reservoir operation optimization models.” Adv. Water Resour., 32(9), 1429–1443.
Chanda, K., Maity, R., Sharma, A., and Mehrotra, R. (2014). “Spatiotemporal variation of long-term drought propensity through reliability-resilience-vulnerability based drought management index.” Water Resour. Res., 50(10), 7662–7676.
Chu, J., Zhang, C., Fu, G., Li, Y., and Zhou, H. (2015). “Improving multi-objective reservoir operation optimization with sensitivity-informed dimension reduction.” Hydrol. Earth Syst. Sci., 19(8), 3557–3570.
Draper, A. J., and Lund, J. R. (2004). “Optimal hedging and carryover storage value.” J. Water Resour. Plann. Manage., 83–87.
Fayaed, S. S., El-Shafie, A., and Jaafar, O. (2013). “Integrated artificial neural network (ANN) and stochastic dynamic programming (SDP) model for optimal release policy.” Water Resour. Manage., 27(10), 3679–3696.
Fowler, H. J., Kilsby, C. G., and O’Connell, P. E. (2003). “Modeling the impacts of climatic change and variability on the reliability, resilience, and vulnerability of a water resource system.” Water Resour. Res., 39(8), 1222.
Fu, G., Kapelan, Z., Kasprzyk, J. R., and Reed, P. (2013). “Optimal design of water distribution systems using many-objective visual analytics.” J. Water Resour. Plann. Manage., 624–633.
Fu, G., Kapelan, Z., and Reed, P. (2012). “Reducing the complexity of multiobjective water distribution system optimization through global sensitivity analysis.” J. Water Resour. Plann. Manage., 196–207.
Giuliani, M., Castelletti, A., Pianosi, F., Mason, E., and Reed, P. M. (2016). “Curses, tradeoffs, and scalable management: Advancing evolutionary multiobjective direct policy search to improve water reservoir operations.” J. Water Resour. Plann. Manage., 04015050.
Hashimoto, T., Stedinger, J. R., and Loucks, D. P. (1982). “Reliability, resiliency, and vulnerability criteria for water-resource system performance evaluation.” Water Resour. Res., 18(1), 14–20.
Hsu, S. K. (1995). “Shortage indexes for water-resources planning in Taiwan.” J. Water Resour. Plann. Manage., 119–131.
Jain, S. K., and Bhunya, P. K. (2008). “Reliability, resilience and vulnerability of a multipurpose storage reservoir.” Hydrolog. Sci. J., 53(2), 434–447.
Kasprzyk, J. R., Reed, P. M., Characklis, G. W., and Kirsch, B. R. (2012). “Many-objective de Novo water supply portfolio planning under deep uncertainty.” Environ. Modell. Software, 34, 87–104.
Kasprzyk, J. R., Reed, P. M., Kirsch, B. R., and Characklis, G. W. (2009). “Managing population and drought risks using many-objective water portfolio planning under uncertainty.” Water Resour. Res., 45(12), W12401.
Kjeldsen, T. R., and Rosbjerg, D. (2004). “Choice of reliability, resilience and vulnerability estimators for risk assessments of water resources systems.” Hydrol. Sci. J., 49(5), 755–767.
Kollat, J. B., and Reed, P. M. (2006). “Comparing state-of-the-art evolutionary multi-objective algorithms for long-term groundwater monitoring design.” Adv. Water Resour., 29(6), 792–807.
Kollat, J. B., Reed, P. M., and Maxwell, R. M. (2011). “Many-objective groundwater monitoring network design using bias-aware ensemble Kalman filtering, evolutionary optimization, and visual analytics.” Water Resour. Res., 47(2), W02529.
Kundzewicz, Z. W., and Kindler, J. (1995). “Multiple criteria for evaluation of reliability aspects of water resource systems.” Modeling and management of sustainable basin-scale water resources systems, S. P. Simonovic, Z. W. Kundzewicz, D. Rosbjerg, and K. Takeuchi, eds., International Association of Hydrological Sciences Press, Wallingford, U.K., 231, 217–224.
Labadie, J. W. (2004). “Optimal operation of multireservoir systems: State-of-the-art review.” J. Water Resour. Plann. Manage., 93–111.
Li, Y., Zhang, C., Chu, J., Cai, X., and Zhou, H. (2016). “Reservoir operation with combined natural inflow and controlled inflow through interbasin transfer: Biliu Reservoir in northeastern China.” J. Water Resour. Plann. Manage., 050150092.
Loucks, D. P. (1997). “Quantifying trends in system sustainability.” Hydrolog. Sci. J., 42(4), 513–530.
Mendoza, V. M., Villanueva, E. E., and Adem, J. (1997). “Vulnerability of basins and watersheds in Mexico to global climate change.” Clim. Res., 9(1–2), 139–145.
Mondal, M. S., Chowdhury, J. U., and Ferdous, M. R. (2010). “Risk-based evaluation for meeting future water demand of the Brahmaputra floodplain within Bangladesh.” Water Resour. Manage., 24(5), 853–869.
Mondal, M. S., and Wasimi, S. A. (2007). “Evaluation of risk-related performance in water management for the Ganges Delta of Bangladesh.” J. Water Resour. Plann. Manage., 179–187.
Moy, W. S., Cohon, J. L., and Revelle, C. S. (1986). “A programming-model for analysis of the reliability, resilience, and vulnerability of a water-supply reservoir.” Water Resour. Res., 22(4), 489–498.
Nebro, A. J., Luna, F., Alba, E., Dorronsoro, B., Durillo, J. J., and Beham, A. (2008). “AbYSS: Adapting scatter search to multiobjective optimization.” IEEE T. Evol. Comput., 12(4), 439–457.
Peng, A., Peng, Y., Zhou, H., and Zhang, C. (2015). “Multi-reservoir joint operating rule in inter-basin water transfer-supply project.” Sci. China Technol. Sci., 58(1), 123–137.
Reed, P. M., Hadka, D., Herman, J. D., Kasprzyk, J. R., and Kollat, J. B. (2013). “Evolutionary multiobjective optimization in water resources: The past, present, and future.” Adv. Water Resour., 51, 438–456.
Sağlam, Y. (2015). “Supply-based dynamic Ramsey pricing: Avoiding water shortages.” Water Resour. Res., 51(1), 669–684.
Sandoval-Solis, S., McKinney, D. C., and Loucks, D. P. (2011). “Sustainability index for water resources planning and management.” J. Water Resour. Plann. Manage., 381–390.
Shih, J., and ReVelle, C. (1994). “Water supply operations during drought: Continuous hedging rule.” J. Water Resour. Plann. Manage., 613–629.
Shih, J., and ReVelle, C. (1995). “Water supply operations during drought: A discrete hedging rule.” Eur. J. Oper. Res., 82(1), 163–175.
Shokri, A., Haddad, O. B., and Marino, M. A. (2013). “Reservoir operation for simultaneously meeting water demand and sediment flushing: Stochastic dynamic programming approach with two uncertainties.” J. Water Resour. Plann. Manage., 139(3), 277–289.
Srinivasan, K., Neelakantan, T. R., Narayan, P. S., and Nagarajukumar, C. (1999). “Mixed-integer programming model for reservoir performance optimization.” J. Water Resour. Plann. Manage., 298–301.
Vogel, R. M., Fennessey, N. M., and Bolognese, R. A. (1995). “Storage-reliability-resilience-yield relations for northeastern United-States.” J. Water Resour. Plann. Manage., 365–374.
Wang, H., Chu, J., Zhang, C., and Zhou, H. (2014). “Identifying the key water levels in reservoir operation on ecological objectives.” Water Sci. Tech.-W. Sup., 14(6), 1160–1167.
Xu, W., Zhang, C., Peng, Y., Fu, G., and Zhou, H. (2014). “A two stage Bayesian stochastic optimization model for cascaded hydropower systems considering varying uncertainty of flow forecasts.” Water Resour. Res., 50(12), 9267–9286.
Zhang, Q., and Li, H. (2007). “MOEA/D: A multiobjective evolutionary algorithm based on decomposition.” IEEE T. Evol. Comput., 11(6), 712–731.
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Published In
Journal of Water Resources Planning and Management
Volume 143 • Issue 8 • August 2017
Copyright
©2017 American Society of Civil Engineers.
History
Received: Aug 16, 2016
Accepted: Feb 1, 2017
Published online: Jun 8, 2017
Published in print: Aug 1, 2017
Discussion open until: Nov 8, 2017
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