Analytical optimization of demand management strategies across all urban water use sectors

Water Resources Research

Volumn 50, Issue 7, 2014, Pages 5475-5491

  Friedman, Kenneth ^a   Heaney, James P ^b   Morales, Miguel ^b   Palenchar, John ^c  

^a Northwest Florida Water Management District   (United States)

^b University of Florida   (United States)

^c City of Largo   (United States)

Author keywords

alternative water supply; data driven approach; optimization; outdoor water usage; urban water demand management; water resources planning

Indexed keywords

EID: 84903688438     PISSN: 00431397     EISSN: 19447973     Source Type: Journal    
DOI: 10.1002/2013WR014261     Document Type: Article

References (42)

1. Aksela, K., and, M. Aksela, (2011), Demand estimation with automatic meter reading in a distribution network, J. Water Resour. Plann. Manage., 137 (5), 456-467.
2. Athanasiadis, I., A. Mentes, P. Mitkas, and, Y. Mylopoulos, (2005), A hybrid agent-based model for estimating residential water demand, J. Simul., 81 (3), 175-187. (Pubitemid 40986273)
3. Billings, R. B., and, C. V. Jones, (2008), Forecasting Urban Water Demand, Am. Water Works Assoc., Denver, Colo.
4. Blokker, E. J. M., J. H. G. Vreeburg, and, J. C. van Dijk, (2010), Simulating residential water demand with a stochastic end-use model, J. Water Resour. Plann. Manage., 136, 19-26.
5. Buchberger, S., and, G. Wells, (1996), Intensity, duration, and frequency of residential water demands, J. Water Resour. Plann. Manage., 122, 11-19.
6. Cahill, R., J. R. Lund, B. DeOreo, and, J. Medellin-Azuara, (2013), Household water use and conservation using Monte Carlo techniques, Hydrol. Earth Syst. Sci., 17, 3957-3967.
7. Chen, L., (1994), Modeling housing and demographic diversity at census tract versus block group levels of aggregation, Urban Reg. Inf. Assoc. J., 6 (1), 11-20.
8. Chesnutt, T., D. Pekelney, and, E. Maureen, (2004), Evaluation of the Landscape Performance Certification Program, Encinitas, Calif.
9. Chu, J., C. Wang, J. Chen, and, H. Wang, (2009), Agent-based residential water use behavior simulation and policy implications: A case study in Beijing City, Water Resour. Manage., 23, 3267-3295.
10. Dawadi, S., and, S. Ahmad, (2013), Evaluating the impact of demand-side management on water resources under changing climatic conditions and increasing population, J. Environ. Manage., 114, 261-275.
11. DeOreo, W., and, P. Mayer, (2012), Insights into declining single family residential water demands, J. Am. Water Works Assoc., 104 (6), E383-E394.
12. Donkor, E. A., T. A. Mazzuchi, R. Soyer, and, J. A. Robertson, (2012), Urban water demand forecasting: A review of methods and models, J. Water Resour. Plann. Manage., 140 (2), 146-159, doi: 10.1061/(ASCE)WR.1943-5452.0000314.
13. Dziegielewski, B., and, E. Opitz, (2002), Water demand analysis, in Urban Water Supply Handbook, edited by, L. Mays, chap. 5, pp. 5.3-5.55, McGraw-Hill, N. Y.
14. Dziegielewski, B., E. M. Opitz, J. C. Kiefer, and, D. D. Baumann, (1993), Evaluation of Urban Water Conservation Programs: A Procedures Manual, Calif. Urban Water Agencies, Sacramento.
15. Friedman, K., J. Heaney, M. Morales, and, J. Palenchar, (2011), Water demand management optimization methodology, J. Am. Water Works Assoc., 103 (9), 74-84.
16. Friedman, K., J. Heaney, M. Morales, and, J. Palenchar, (2013), Predicting and managing residential potable irrigation using parcel level databases, J. Am. Water Works Assoc., 105 (7), E372-E385.
17. Gainesville Regional Utilities (2008), Water reclamation brochure. [Available at https://www.gru.com/Pdf/Reclaimed%20Water%20brochure. pdf, accessed May 2012.]
18. Gato, S., N. Jayasuriya, and, P. Roberts, (2007), Forecasting residential water demand: Case study, J. Water Resour. Plann. Manage., 133 (4), 309-319. (Pubitemid 47017922)
19. Ghiassi, M., D. Zimbra, and, H. Saidane, (2008), Urban water demand forecasting with a dynamic artificial neural network model, J. Water Resour. Plann. Manage., 134 (2), 138-146. (Pubitemid 351279619)
20. Green, D., (2010), Water Conservation for Small and Medium Sized Utilities, Am. Water Works Assoc., Denver.
21. Haley, M., and, M. Dukes, (2010), Irrigation water use separation from overall water use: Evaluation of methodology and verification of assumptions, paper presented at the 5th National Decennial Irrigation Conference, American Society of Agricultural and Biological Engineers (ASABE), Phoenix, Ariz.
22. Hillier, F. S., and, G. J. Lieberman, (2010), Introduction to Operations Research, 9th ed., McGraw-Hill, N. Y.
23. House-Peters, L., and, H. Chang, (2011), Urban water demand modeling: Review of concepts, methods, and organizing principles, Water Resour. Res., 47, W05401, doi: 10.1029/2010WR009624.
24. Kvam, P., and, B. Vidakovic, (2007), Nonparametric Statistics With Applications to Science and Engineering, John Wiley, N. Y.
25. Leiby, V., and, M. Burke, (2011), Energy Efficiency Best Practices for North American Drinking Water Utilities, Water Res. Found., Denver.
26. Maddaus, W., and, L. Maddaus, (2006), Water Conservation Programs-A Planning Manual, American Water Works Association Manual of Water Supply Practices M52, Am. Water Works Assoc., Denver.
27. Mayer, P., W. DeOreo, E. Opitz, J. Kiefer, B. Dziegielewski, W. Davis, and, J. Nelson, (1999), Residential End Uses of Water, Am. Water Works Assoc. Res. Found., Denver.
28. Morales, M., J. Heaney, K. Friedman, and, J. Martin, (2011), Estimating commercial, industrial, and institutional water use on the basis of heated building area, J. Am. Water Works Assoc., 103 (6), 84-96.
29. Morales, M., J. Martin, J. Heaney, and, K. Friedman, (2013a), Parcel-level modeling of end use water demands in public supply, J. Am. Water Works Assoc., 105 (8), E460-E470.
30. Morales, M., J. Heaney, K. Friedman, and, J. Martin, (2013b), Parcel-level model of water and energy end use, J. Am. Water Works Assoc., 105 (9), E507-E516.
31. Palenchar, J., (2009), Trends in irrigation use of potable water by the single family residential sector in Alachua County, Florida, ME thesis, Dep. of Environ. Eng. Sci., Univ. of Fla., Gainesville.
32. Polebitski, A., and, R. Palmer, (2010), Seasonal residential water demand forecasting for census tracts, J. Water Resour. Plann. Manage., 136 (1), 27-36.
33. Rashid, M., W. Maddaus, and, M. Maddaus, (2010), Progress in US water conservation planning and implementation: 1990-2009, J. Am. Water Works Assoc., 102 (6), 85-99.
34. Rosenberg, D. E., (2007a), Probabilistic estimation of water conservation effectiveness, J. Water Resour. Plann. Manage., 133 (1), 39-49. (Pubitemid 44942434)
35. Rosenberg, D. E., T. Tarawneh, R. Abdel-Khaleq, and, J. Lund, (2007b), Modeling integrated water user decisions in intermittent supply systems, Water Resour. Res., 43, W07425, doi: 10.1029/2006WR005340.
36. Schwarz, N., and, A. Ernst, (2008), Agent-based modeling of the diffusion of environmental innovations: An empirical approach, Technol. Forecasting Social Change, 76 (4), 497-511.
37. Suero, F., P. Mayer, and, D. E. Rosenberg, (2012), Estimating and verifying United States Households' potential to conserve water, J. Water Resour. Plann. Manage., 138 (3), 299-306.
38. Tanverakul, S., and, J. Lee, (2012), Historical review of US residential water demand, paper presented at the World Environmental and Water Resources Congress 2012: Crossing Boundaries, American Society of Civil Engineers (ASCE), Albuquerque, N. M.
39. United States Environmental Protection Agency (1992), Energy Policy Act of 1992. Public Law 102-486, 106 Stat. 2776. [Available at http://www.usbr.gov/ power/legislation/epa92.pdf.]
40. Vickers, A., (2001), Handbook of Water Use and Conservation, Water Plow Press, Amherst, Mass.
41. Whitcomb, J., (2006), Evaluation of Irrigation Restrictions in East-Central Florida, St. Johns River Water Manage. Dist., Palatka, Fla.
42. White, S., G. Milne, and, C. Riedy, (2004), End use analysis: Issues and lessons, Water Supply, 4 (3), 57-65. (Pubitemid 39422830)