Complex Adaptive Systems Framework to Assess Supply-Side and Demand-Side Management for Urban Water Resources
Publication: Journal of Water Resources Planning and Management
Volume 140, Issue 1
Abstract
The availability of water resources in many urbanizing areas is the emergent property of the adaptive interactions among consumers, policy, and the hydrologic cycle. As water availability becomes more stressed, public officials often implement restrictions on water use, such as bans on outdoor watering. Consumers are influenced by policy and the choices of other consumers to select water-conservation technologies and practices, which aggregate as the demand on available water resources. Policy and behavior choices affect the availability of water for future use as reservoirs are depleted or filled. This research posited urban water supply as a complex adaptive system (CAS) by coupling a stochastic consumer demand model and a water supply model within an agent-based modeling (ABM) framework. Public officials were simulated as agents to choose water conservation strategies and interbasin transfer strategies, and consumers were simulated as agents, influenced by various conservation-based programs to select water conservation technologies and behaviors, and correspondingly update their individual demand models. A water supply reservoir was simulated to receive rainfall from the contributing watershed and to supply the demands of consumer agents. The ABM framework was applied to an illustrative urban case study. A set of scenarios was developed to represent moderate and strong water conservation strategies, and was simulated for a long-term precipitation record to evaluate the sustainability of water conservation practices.
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Acknowledgments
This material is based in part upon work supported by the National Science Foundation under Grant No. ECC-0926893. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation. The authors express their thanks and appreciation to the city of Arlington and Tarrant Regional Water District for their help and sharing of valuable reports, data, and insights.
References
Arlington Water Utilities (AWU). (2009). City of Arlington water conservation plan, AWU, Arlington, TX.
Athanasiadis, I., Mentes, A., Mitkas, P., and Mylopoulos, Y. (2005). “A hybrid agent-based model for estimating residential water demand.” Simul. Trans. Soc. Model. Simul. Int., 81(3), 175–187.
Billings, R., and Day, W. (1989). “Demand management factors in residential water use: The southern Arizona experience.” J. Am. Water Works Assoc., 81(3), 58–64.
Blokker, E., Vreeburg, J., and Dijk, J. (2010). “Simulating residential water demand with a stochastic end-use model.” J. Water Resour. Plann. Manage., 19–26.
Brooks, D. B. (2006). “An operational definition of water demand management.” Water Resour. Dev., 22(4), 521–528.
Chu, J., Wang, C., Chen, J., and Wang, H. (2009). “Agent-based residential water use behavior simulation and policy implications: A case study in Beijing city.” Water Resour. Manage., 23(15), 3267–3295.
Corral-Verdugo, V., Carrus, G., Bonnes, M., Moser, G., and Sinha, J. (2008). “Environmental beliefs and endorsement of sustainable development principles in water conservation.” Environ. Behav., 40(5), 703–725.
Espey, M., Espey, J., and Shaw, W. (1997). “Price elasticity of residential demand for water: A meta-analysis.” Water Resour. Res., 33(6), 1369–1374.
Freese, and Nichols. (1999). Investigation of Lake Arlington operation policies, Tarrant Region Water District, Fort Worth, TX.
Freese, and Nichols, Alan Plummer Associates, CP&Y, and Cooksey Communications. (2010). 2011 Region C water plan, Region C Water Planning Group, Austin, TX.
Galán, J., Lopez-Paredes, A., and del Olmo, R. (2009). “An agent-based model for domestic water management in Valladolid metropolitan area.” Water Resour. Res., 45(5), 1–17.
Giacomoni, M., Kanta, L., and Zechman, E. (2013). “Complex adaptive systems approach to simulate the sustainability of water resources and urbanization.” J. Water Resour. Plann. Manage., 554–564.
Giacomoni, M., and Zechman, E. (2011). “Assessing sustainability of integrated urban water resources systems through a complex adaptive systems approach.” Proc., World Environmental and Water Resources Congress 2011, ASCE, Reston, VA.
Gilbert, N. (2007). Agent based models, Sage, London.
Green, G. C. (1985). Estimated irrigation requirements of crops in South Africa (Part 1), Soil and Irrigation Research Institute, Pretoria, South Africa.
Gurung, T., Bousquet, F., and Trébuil, G. (2006). “Companion modelling, conflict resolution and institutional building: Sharing irrigation water in Lingmuteychu watershed, Bhutan.” Ecol. Soc., 11(2), 36.
Halich, G., and Stephenson, K. (2009). “Effectiveness of residential water-use restrictions under varying levels of municipal effort.” Land Econ., 85(4), 614–626.
Hardberger, A. (2008). From policy to reality: Maximizing urban water conservation in Texas, Environmental Defense Fund, Washington, DC, 1–35.
Hilaire, R., VanLeeuwen, D., and Torres, P. (2010). “Landscape preferences and water conservation choices of residents in a high desert environment.” HorTechnology, 20(2), 308–314.
House-Peters, L., and Chang, H. (2011). “Urban water demand modeling: Review of concepts, methods, and organizing principles.” Water Resour. Res., 47(5), 1–15.
Howe, C. (1982). “The impact of price on residential water demand: Some new insights.” Water Resour. Res., 18(4), 713–716.
Hurd, B. (2006). “Water conservation and residential landscapes: Household preferences, household choices.” J. Agric. Resour. Econ., 31(2), 173–192.
Jacobs, H., and Haarhoff, J. (2004a). “Structure and data requirements of an end-use model for residential water demand and return flow.” Water SA, 30(3), 293–304.
Jacobs, H., and Haarhoff, J. (2004b). “Application of a residential end-use model for estimating cold and hot water demand, wastewater flow, and salinity.” Water SA, 30(3), 305–316.
Johnson, E. H. (1987). “Flow data acquisition and forecasting system for a water distribution network.” Laureatus in Technology, Department of Civil Engineering, Port Elizabeth Technikon.
Kallis, G., Ray, I., Fulton, J., and McMahon, J. (2010). “Public versus private: Does it matter for water conservation? Insights from California.” Environ. Manage., 45(1), 177–191.
Kuichling, E. (1889). The relation between the rainfall and the discharge of sewers in populous districts, ASCE, Reston, VA, 20.
Little, W., and Moreau, D. (1991). “Estimating the effects of conservation on demand during droughts: Management and operations.” J. Am. Water Works Assoc., 83(10), 48–54.
Lopez-Parades, A., Sauri, D., and Galán, J. (2005). “Urban water management with artificial societies of agents: The FIRMABAR simulator.” Simul. Trans. Soc. Model. Simul. Int., 81(3), 189–199.
Maddaus, W., and Maddaus, M. (2004). “Evaluating water conservation cost-effectiveness with an end-use model.” Proc., Water Sources Conf., AWWA, Austin, TX.
Marvin, S., Graham, S., and Guy, S. (1999). “Cities, regions, and privatised utilities.” Prog. Plann., 51(2), 91–169.
McCormick, L. (2010). Drop by drop: Seven ways Texas cities can conserve water, National Wildlife Federation and Sierra Club, Austin, TX, 1–51.
Michelsen, A., McGuckin, J., and Stumpf, D. (1999). “Nonprice water conservation programs as a demand management tool.” J. Am. Water Resour. Assoc., 35(3), 593–602.
Miller, J., and Page, S. (2007). Complex adaptive systems, Princeton University Press, Princeton, NJ.
Moncur, J. (1987). “Urban water pricing and drought management.” Water Resour. Res., 23(3), 393–398.
Morris, R., Devitt, D., Crites, A., Borden, G., and Allen, L. (1997). “Urbanization and water conservation in Las Vegas valley, Nevada.” J. Water Resour. Plann. Manage., 189–ß195.
Moss, S., Downing, T., and Rouchier, J. (2000). “Demonstrating the role of stakeholder participation: An agent based social simulation model of water demand policy and response.”, Centre for Policy Modelling, The Business School, Manchester Metropolitan Univ., Manchester, U.K.
Nickel, D., Barthel, R., and Braun, J. (2005). “Large-scale water resources management within the framework of GLOWA-Danube: The water supply model.” Phys. Chem. Earth , 30(6–7), 383–388.
Olmstead, S., and Stavins, R. (2009). “Comparing price and nonprice approaches to urban water conservation.” Water Resour. Res., 45(4), 1–10.
Pahl-Wostl, C. (2007). “Transitions towards adaptive management of water facing climate and global change.” Water Resour. Manage., 21(1), 49–62.
Palmini, D., and Shelton, T. (1982). “Residential water conservation in a noncrises setting: Results of a New Jersey experiment.” Water Resour. Res., 18(4), 697–704.
Perugini, D., Perugini, M., and Young, M. (2008). “Water saving incentives: An agent-based simulation approach to urban water trading.” SimTecT 2008 Simulation Conf., Intelligent Software Development (ISD) Analytics, Adelaide, Australia.
Polebitski, A., and Palmer, R. (2010). “Seasonal residential water demand forecasting for census tracts.” J. Water Resour. Plann. Manage., 27–36.
Rixon, A., and Burn, S. (2002). “Exploring water conservation behavior through participatory agent-based modeling.” IFAC, Elsevier, New York.
Rosenberg, D. (2007). “Probabilistic estimation of water conservation effectiveness.” J. Water Resour. Plann. Manage., 39–49.
Rosenberg, D. (2010). “Residential water demand under alternative rate structures: Simulation approach.” J. Water Resour. Plann. Manage., 395–402.
Russell, S., and Fielding, K. (2009). “Water demand management research: A psychological perspective.” Water Resour. Res., 46(5), 1–12.
Sakamoto, Y., Ishiguro, M., and Kitagawa, G. (1986). Akaike information criterion statistics, Springer, New York.
Shafiee, M., and Zechman, E. M. (2011). “An agent-based modeling approach to evaluate protective action strategies in a water distribution contamination event.” Proc., World Environmental and Water Resources Congress, ASCE, Reston, VA.
Srbljinović, A., and Škunca, O. (2003). “An introduction to agent based modeling and simulation of social processes.” Interdiscipl. Description Complex Syst., 1(1–2), 1–8.
Stiles, G. (1996). “Demand-side management, conservation, and efficiency in the use of Africa’s water resources.” Water Management in Africa and the Middle East: Challenges and opportunities, IDRC, Ottawa.
Tarrant Regional Water District (TRWD). (2009). “Water conservation and drought contingency plan.” Fort Worth, TX.
Texas Water Development Board (TWDB). (2010). “Evaporation/precipitation data for Texas.” 〈www.twdb.state.tx.us〉 (Apr. 11, 2010).
Thoyer, S., Morardet, S., Rio, P., Simon, L., Goodhue, R., and Rausser, G. (2001). “A bargaining model to simulate negotiations between water users.” J. Artif. Soc. Social Simul., 4(2).
Tillman, T., Larsen, T. A., Pahl-Wostl, C., and Gujer, W. (2001). “Interaction analysis of stakeholders in water supply systems.” Water Sci. Technol., 43(5), 319–326.
U.S. Dept. of Housing and Urban Development. (2002). “American housing survey for the Fort Worth–Arlington metropolitan area: 2002.”, Washington, DC.
Watts, D. (2004). Small worlds, Princeton University Press, Princeton, NJ.
Watts, D., and Strogatz, S. (1998). “Collective dynamics of ‘small-world’ networks.” Nature, 393(6684), 440–442.
White, S., Milne, G., and Riedy, C. (2004). “End-use analysis: Issues and lessons.” Water Sci. Technol.: Water Supply, 4(3), 57–65.
XJ Technology. (2010). “AnyLogic 6.5.” 〈www.xjtek.com〉 (Mar. 23, 2010).
Yang, A., and Shan, Y. (2008). Intelligent complex adaptive systems, IGIP, New York.
Young, R. A. (1973). “Price elasticity of demand for water: A case study of Tucson, Arizona.” Water Resour. Res., 9(4), 1068–1072.
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Published In
Journal of Water Resources Planning and Management
Volume 140 • Issue 1 • January 2014
Pages: 75 - 85
Copyright
© 2014 American Society of Civil Engineers.
History
Received: Aug 20, 2011
Accepted: Jul 3, 2012
Published ahead of production: Sep 26, 2013
Published online: Dec 16, 2013
Published in print: Jan 1, 2014
Discussion open until: May 16, 2014
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