Vulnerability Assessment to Support Integrated Water Resources Management of Metropolitan Water Supply Systems
Publication: Journal of Water Resources Planning and Management
Volume 143, Issue 3
Abstract
The combined actions of natural and human factors change the timing and availability of water resources and, correspondingly, water demand in metropolitan areas. This leads to an imbalance between supply and demand and, thus, an increase in the vulnerability of water supply systems. Accordingly, methods for systematic analysis and multifactor assessment are needed to estimate the vulnerability of individual components in an integrated water supply system. This paper introduces a new approach to comprehensively assess vulnerability by integrating water resource system characteristics with factors representing exposure, sensitivity, severity, potential severity, social vulnerability, and adaptive capacity. These factors provide a way to consider broader system elements beyond the traditional vulnerability evaluation methods solely on the basis of the magnitude of failure (i.e., severity). In this way, the new vulnerability index gives a more detailed assessment with the potential to recognize critical conditions and components in an integrated system. The effectiveness and advantages of the proposed approach are checked using an investigation of the water supply system of Salt Lake City (SLC), Utah. First, an integrated water resource model was developed using a system simulation software to allocate water from different sources in SLC among designated demand points. The model contains individual simulation modules with representative interconnections among the natural hydroclimate system, built water infrastructure, and institutional decision making. The results of the analysis illustrate that basing vulnerability on a sole factor may lead to insufficient understanding and, hence, inefficient management of the system. For example, ranking of different water sources on the basis of the traditional vulnerability index (i.e., severity) in SLC is not consistent with the ranking on the basis of the proposed integrated vulnerability index. Therefore, during a failure event in the system, such as a water shortage, incomplete understanding of the system’s performance may lead to incorrect decisions by managers. The new vulnerability index and assessment approach was able to identify the most vulnerable water sources in the SLC integrated water supply system. In conclusion, use of a more comprehensive approach to simulate the system behavior and estimate vulnerability provides more guidance for decision makers to detect vulnerable components of the system and ameliorate decision making.
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References
Adger, W. N., Brooks, N., Bentham, G., Agnew, M., and Eriksen, S. (2004). “New indicators of vulnerability and adaptive capacity.”, Tyndall Centre, Norwich, U.K.
Alemu, E., Palmer, R., Polebitski, A., and Meaker, B. (2011). “Decision support system for optimizing reservoir operations using ensemble streamflow predictions.” J. Water Resour. Plann. Manage., 72–82.
Asefa, T., Clayton, J., Adams, A., and Anderson, D. (2014). “Performance evaluation of a water resources system under varying climatic conditions: Reliability, resilience, vulnerability and beyond.” J. Hydrol., 508, 53–65.
Bardsley, T., et al. (2013). “Planning for an uncertain future: Climate change sensitivity assessment toward adaptation planning for public water supply.” Earth Interact., 17(23), 1–26.
Blaikie, P., Cannon, T., Davis, I., and Wisner, B. (1994). At Risk: Natural hazards, people’s vulnerability and disasters, Routledge, London.
Brooks, N., and Adger, W. N. (2004). “Assessing and enhancing adaptive capacity.” Adaptation policy frameworks for climate change: Developing strategies, policies and measures, B. Lim and E. Spanger-Siegfried, eds., UNDPGEF Cambridge University Press, Cambridge, U.K., 165–181.
Brooks, N., Adger, W. N., and Kelly, P. M. (2005). “The determinants of vulnerability and adaptive capacity at the national level and the implications for adaptation.” Global Environ. Change, 15(2), 151–163.
Brown, C., Ghile, Y., Laverty, M., and Li, K. (2012). “Decision scaling: Linking bottom-up vulnerability analysis with climate projections in the water sector.” Water Resour. Res., 48(11), W09537.
Cutter, S. L. (1996). “Vulnerability to environmental hazards.” Progress Human Geogr., 20(4), 529–539.
Cutter, S. L., Boruff, B. J., and Shirley, W. L. (2003). “Social vulnerability to environmental hazards.” Social Sci. Q., 84(2), 242–261.
Forrester, J. W. (1969). Urban dynamics, Massachusetts Institute of Technology Press, Cambridge, MA.
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).
Füssel, H.-M. (2010). Review and quantitative analysis of indices of climate change exposure, adaptive capacity, sensitivity, and impacts, World Bank, Washington, DC.
Goharian, E., Burian, S., Bardsley, T., and Strong, C. (2016). “Incorporating potential severity into vulnerability assessment of water supply systems under climate change conditions.” J. Water Resour. Plann. Manage., .
Goharian, E., and Burian, S. J. (2014). “Integrated urban water resources modeling in a semi-arid mountainous region using a cyber-infrastructure framework.” HIC2014-11th Int. Conf. on Hydroinformatics, City College of New York at CUNY Academic Works, NY.
GoldSim. (2010). “GoldSim probabilistic simulation environment user’s guide.” Goldsim Technology Group, Issaquah, WA.
Hamouda, M. A., Nour El-Din, M. M., and Moursy, F. I. (2009). “Vulnerability assessment of water resources system in the eastern Nile basin.” Water Resour. Manage., 23(13), 2697–2725.
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.
Hile, R., and Cova, T. J. (2015). “Exploratory testing of an artificial neural network classification for enhancement of the social vulnerability index.” Int. J. Geo-Inf., 4(4), 1774–1790.
Holand, I. S., and Lujala, P. (2013). “Replicating and adapting an index of social vulnerability to a new context: A comparison study for Norway.” Prof. Geogr., 65(2), 312–328.
Jury, W. A., and Vaux, H., Jr. (2005). “The role of science in solving the world’s emerging water problems.” Proc. Natl. Acad. Sci., 102(44), 15715–15720.
Karamouz, M., Goharian, E., and Nazif, S. (2013a). “Reliability assessment of the water supply systems under uncertain future extreme climate conditions.” Earth Interact., 17(20), 1–27.
Karamouz, M., Nazif, S., and Zahmatkesh, Z. (2013b). “A self organizing gaussian based downscaling of climate data for simulation of urban drainage systems.” J. Irrig. Drain Eng., 98–112.
Karamouz, M., Zahmatkesh, Z., Goharian, E., and Nazif, S. (2015). “Combined impact of inland and coastal floods: Mapping knowledge base for development of planning strategies.” J. Water Resour. Plan. Manage., .
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.
Lillywhite, J. (2008). “Performance of water supply operations measured by reliability and marginal cost.” Masters thesis, Univ. of Utah, Salt Lake City.
Loucks, D. P. (1997). “Quantifying trends in system sustainability.” Hydrol. Sci. J., 42(4), 513–530.
Maurer, E. P., Brekke, L., Pruitt, T., and Duffy, P. B. (2007). “Fine-resolution climate projections enhance regional climate change impact studies.” Eos Trans., 88(47), 504.
Morrison, R. R., and Stone, M. C. (2014). “Evaluating the impacts of environmental flow alternatives on reservoir and recreational operations using system dynamics modeling.” J. Am. Water Resour. Assoc., 51(1), 33–46.
Moy, W.-S., Cohon, J. L., and ReVelle, C. S. (1986). “A programming model for analysis of the reliability, resiliency, and vulnerability of a water supply reservoir.” Water Resour. Res., 22(4), 489–498.
NCDC (National Climatic Data Center). (2013). “National climatic data center, national oceanic and atmospheric administration.” ⟨http://www.ncdc.noaa.gov/cdo-web/⟩ (Oct. 17, 2015).
Pielke, R. A., Sr., et al. (2012). “Dealing with complexity and extreme events using a bottom-up, resource-based vulnerability perspective.” Extreme events and natural hazards: The complexity perspective, American Geophysical Union, Washington, DC, 345–359.
Rosbjerg, D., and Knudsen, J. (1983). “Integrated water resources management within the Susa basin.” Scientific procedures applied to the planning, design and management of water resources systems, International Association of Hydrological Sciences (IAHS), Oxfordshire, U.K.
Sandoval-Solis, S., McKinney, D. C., and Loucks, D. P. (2011). “Sustainability index for water resources planning and management.” J. Water Resour. Plan. Manage., 381–390.
Simonovic, S. P. (2002). “World water dynamics: Global modeling of water resources.” J. Environ. Manage., 66(3), 249–267.
Smith, J. B., et al. (2001). “Vulnerability to climate change and reasons for concern: A synthesis.” Climate Change 2001: Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the Third Assessment Rep. of the Intergovernmental Panel on Climate Change, J. J. McCarthy, O. F. Canziani, N. A. Leary, D. J. Dokken, and K. S. White, eds., Cambridge University Press, Cambridge, U.K., 913–967.
Stainforth, D. A., Downing, T. E., Lopez, R. W. A., and New, M. (2007). “Issues in the interpretation of climate model ensembles to inform decisions.” Philos. Trans. R. Soc. A, 365(1857), 2163–2177.
Stave, K. A. (2003). “A system dynamics model to facilitate public understanding of water management options in Las Vegas, Nevada.” J. Environ. Manage., 67(4), 303–313.
Stewart, T. S., Cayan, D. R., and Dettinger, M. D. (2005). “Changes toward earlier streamflow timing across western North America.” J. Clim., 18(8), 1136–1155.
Sullivan, C. A. (2011). “Quantifying water vulnerability: A multi-dimensional approach.” Stoch. Env. Res. Risk Assess., 25(4), 627–640.
United States Census Bureau. (2010). “Census of population and housing.” ⟨http://www.census.gov/prod/www/decennial.html⟩ (Oct. 17, 2015).
USEPA (U.S. Environmental Protection Agency). (2009). “Storm water management model applications manual.” National Risk Management Research Laboratory, Office of Research and Development, Cincinnati.
Utah Division of Water Resources. (2009). “Residential water use: Survey results and analysis of residential water use for seventeenth communities in Utah.” Salt Lake City.
Vogel, R. M., and Bolognese, R. A. (1995). “Storage-reliability–resiliency-yield relations for over-year water supply systems.” Water Resour. Res., 31(3), 645–654.
Vörösmarty, C. J., et al. (2010). “Global threats to human water security and river biodiversity.” Nature, 467(7315), 555–561.
Vörösmarty, C. J., Green, P., Salisbury, J., and Lammers, R. B. (2000). “Global water resources: Vulnerability from climate change and population growth.” Science, 289(5477), 284–288.
Wang, C., and Blackmore, J. M. (2009). “Resilience concept for water resources system.” J. Water Resour. Plan. Manage., 528–536.
Winz, I., and Brierley, G. (2009). “The use of system dynamics simulation in integrated water resources management.” 27th Int. Conf. on System Dynamics Society, System Dynamics Society, New York.
WSSD (World Summit on Sustainable Development). (2002). “Report of the world summit on sustainable development.” United Nation, New York.
Xi, X., and Poh, K. L. (2013). “Using system dynamics for sustainable water resources management in Singapore.” Procedia Comput. Sci., 16, 157–166.
York, C., Goharian, E., and Burian, S. (2015). “Impacts of large-scale stormwater green infrastructure implementation and climate variability on receiving water response in the Salt Lake City area.” Am. J. Environ. Sci., 11(4), 278–292.
Zahmatkesh, Z., Burian, S., Karamouz, M., Tavakol-Davani, H., and Goharian, E. (2015a). “Low-impact development practices to mitigate climate change effects on urban stormwater runoff: Case study of New York City.” J. Irrig. Drain Eng., .
Zahmatkesh, Z., Karamouz, M., Goharian, E., and Burian, S. J. (2015b). “Analysis of the effects of climate change on urban storm water runoff using statistically downscaled precipitation data and a change factor approach.” J. Hydrol. Eng., .
Zahmatkesh, Z., Karamouz, M., and Nazif, S. (2015c). “Uncertainty based modeling of rainfall-runoff: Combined differential evolution adaptive Metropolis (DREAM) and K-means clustering.” Adv. Water Resour., 83, 405–420.
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Journal of Water Resources Planning and Management
Volume 143 • Issue 3 • March 2017
Copyright
©2016 American Society of Civil Engineers.
History
Received: Jan 19, 2016
Accepted: Sep 12, 2016
Published online: Nov 7, 2016
Published in print: Mar 1, 2017
Discussion open until: Apr 7, 2017
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