Complex adaptive systems framework to assess supply-side and demand-side management for urban water resources

Journal of Water Resources Planning and Management

Volumn 140, Issue 1, 2014, Pages 75-85

  Kanta, Lufthansa ^a   Zechman, Emily ^b  

^a Texas AandM University   (United States)

^b North Carolina State University   (United States)

Author keywords

Adaptive pumping; Agent based modeling; Complex adaptive systems analysis; Demand side management; Drought management plan; Supply side management; Water conservation

Indexed keywords

ADAPTIVE SYSTEMS; COMPUTATIONAL METHODS; CONSUMER BEHAVIOR; ELECTRIC UTILITIES; RESERVOIRS (WATER); STOCHASTIC MODELS; SYSTEMS ANALYSIS; WATER CONSERVATION; WATER SUPPLY;

AGENT-BASED MODEL; COMPLEX ADAPTIVE SYSTEMS; CONSERVATION PRACTICES; CONSERVATION STRATEGIES; CONSERVATION TECHNOLOGIES; DEMAND SIDE MANAGEMENTS; DROUGHT MANAGEMENT; URBAN WATER RESOURCES;

WATER RESOURCES;

DEMAND-SIDE MANAGEMENT; DROUGHT; MODELING; SUSTAINABILITY; SYSTEMS ANALYSIS; URBAN AREA; WATER MANAGEMENT; WATER SUPPLY;

EID: 84896064494     PISSN: 07339496     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)WR.1943-5452.0000301     Document Type: Article

References (62)

1. Arlington Water Utilities (AWU). (2009). City of Arlington water conservation plan, AWU, Arlington, TX.
2. 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.
3. 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.
4. Blokker, E., Vreeburg, J., and Dijk, J. (2010). "Simulating residential water demand with a stochastic end-use model." J. Water Resour. Plann. Manage., 10.1061/(ASCE)WR.1943-5452.0000002, 19-26.
5. Brooks, D. B. (2006). "An operational definition of water demand management." Water Resour. Dev., 22(4), 521-528.
6. 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.
7. 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.
8. 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.
9. Freese, and Nichols. (1999). Investigation of Lake Arlington operation policies, Tarrant Region Water District, Fort Worth, TX.
10. Freese, and Nichols, Alan Plummer Associates, CP&Y, and Cooksey Communications. (2010). 2011 Region C water plan, Region C Water Planning Group, Austin, TX.
11. 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.
12. 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., 10.1061/(ASCE) WR.1943-5452.0000302, 554-564.
13. 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.
14. Gilbert, N. (2007). Agent based models, Sage, London.
15. Green, G. C. (1985). Estimated irrigation requirements of crops in South Africa (Part 1), Soil and Irrigation Research Institute, Pretoria, South Africa.
16. 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.
17. Halich, G., and Stephenson, K. (2009). "Effectiveness of residential wateruse restrictions under varying levels of municipal effort." Land Econ., 85(4), 614-626.
18. Hardberger, A. (2008). From policy to reality: Maximizing urban water conservation in Texas, Environmental Defense Fund, Washington, DC, 1-35.
19. 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.
20. 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.
21. Howe, C. (1982). "The impact of price on residential water demand: Some new insights." Water Resour. Res., 18(4), 713-716.
22. Hurd, B. (2006). "Water conservation and residential landscapes: Household preferences, household choices." J. Agric. Resour. Econ., 31(2), 173-192.
23. 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.
24. 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.
25. 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.
26. 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.
27. Kuichling, E. (1889). The relation between the rainfall and the discharge of sewers in populous districts, ASCE, Reston, VA, 20.
28. 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.
29. 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.
30. Maddaus, W., and Maddaus, M. (2004). "Evaluating water conservation cost-effectiveness with an end-use model." Proc., Water Sources Conf., AWWA, Austin, TX.
31. Marvin, S., Graham, S., and Guy, S. (1999). "Cities, regions, and privatised utilities." Prog. Plann., 51(2), 91-169.
32. McCormick, L. (2010). Drop by drop: Seven ways Texas cities can conserve water, National Wildlife Federation and Sierra Club, Austin, TX, 1-51.
33. 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.
34. Miller, J., and Page, S. (2007). Complex adaptive systems, Princeton University Press, Princeton, NJ.
35. Moncur, J. (1987). "Urban water pricing and drought management." Water Resour. Res., 23(3), 393-398.
36. 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., 10.1061/(ASCE)0733-9496(1997) 123:3(189), 189-195.
37. 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." CPM Rep. No. 00-76, Centre for Policy Modelling, The Business School, Manchester Metropolitan Univ., Manchester, U.K.
38. 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.
39. Olmstead, S., and Stavins, R. (2009). "Comparing price and nonprice approaches to urban water conservation." Water Resour. Res., 45(4), 1-10.
40. Pahl-Wostl, C. (2007). "Transitions towards adaptive management of water facing climate and global change." Water Resour. Manage., 21(1), 49-62.
41. 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.
42. 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.
43. Polebitski, A., and Palmer, R. (2010). "Seasonal residential water demand forecasting for census tracts." J. Water Resour. Plann. Manage., 10.1061/(ASCE)WR.1943-5452.0000003, 27-36.
44. Rixon, A., and Burn, S. (2002). "Exploring water conservation behavior through participatory agent-based modeling." IFAC, Elsevier, NewYork.
45. Rosenberg, D. (2007). "Probabilistic estimation of water conservation effectiveness." J. Water Resour. Plann. Manage., 10.1061/(ASCE) 0733-9496(2007)133:1(39), 39-49.
46. Rosenberg, D. (2010). "Residential water demand under alternative rate structures: Simulation approach." J. Water Resour. Plann. Manage., 10.1061/(ASCE)WR.1943-5452.0000046, 395-402.
47. Russell, S., and Fielding, K. (2009). "Water demand management research: A psychological perspective." Water Resour. Res., 46(5), 1-12.
48. Sakamoto, Y., Ishiguro, M., and Kitagawa, G. (1986). Akaike information criterion statistics, Springer, New York.
49. 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.
50. Srbljinoví,c 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.
51. 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.
52. Tarrant Regional Water District (TRWD). (2009). "Water conservation and drought contingency plan." Fort Worth, TX.
53. Texas Water Development Board (TWDB). (2010). "Evaporation/precipitation data for Texas." www.twdb.state.tx.us (Apr. 11, 2010).
54. 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).
55. 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.
56. U.S. Dept. of Housing and Urban Development. (2002). "American housing survey for the Fort Worth-Arlington metropolitan area: 2002." U.S. Census Bureau, Current Housing Reports, Series H170/02-6, Washington, DC.
57. Watts, D. (2004). Small worlds, Princeton University Press, Princeton, NJ.
58. Watts, D., and Strogatz, S. (1998). "Collective dynamics of 'small-world' networks." Nature, 393(6684), 440-442.
59. White, S., Milne, G., and Riedy, C. (2004). "End-use analysis: Issues and lessons." Water Sci. Technol.: Water Supply, 4(3), 57-65.
60. XJ Technology. (2010). "AnyLogic 6.5." www.xjtek.com (Mar. 23, 2010).
61. Yang, A., and Shan, Y. (2008). Intelligent complex adaptive systems, IGIP, New York.
62. Young, R. A. (1973). "Price elasticity of demand for water: A case study of Tucson, Arizona." Water Resour. Res., 9(4), 1068-1072.