Synthesis of public water supply use in the United States: Spatio‐temporal patterns and socio‐economic controls

Recent U.S. Geological Survey water‐use report suggests that increasing water‐use efficiency could mitigate the supply‐and‐demand imbalance arising from changing climate and growing population. However, this rich data have neither analyzed to understand the underlying patterns, nor have been investigated to identify the factors contributing to this increased efficiency. A national‐scale synthesis of public supply withdrawals (“withdrawals”) reveals a strong North–south gradient in public supply water use with the increasing population in the South contributing to increased withdrawal. Contrastingly, a reverse South–north gradient exists in per capita withdrawals (“efficiency”), with northern states consistently improving the efficiency, while the southern states' efficiency declined. Our analyses of spatial patterns of per capita withdrawals further demonstrate that urban counties exhibit improved efficiency over rural counties. Improved efficiency is also demonstrated over high‐income and well‐educated counties. Given the potential implications of the findings in developing long‐term water conservation measures (i.e., increasing block rates), we argue the need for frequent updates, perhaps monthly to annual, of water‐use data for identifying effective strategies that control the water‐use efficiency in various geographic settings under a changing climate.

[1]  E. Geller,et al.  Attempts to promote residential water conservation with educational, behavioral and engineering strategies , 1983 .

[2]  W. S. Mooty,et al.  Inventory of interbasin transfer of water in the Eastern United States , 1986 .

[3]  H. E. Petsch.  INVENTORY OF INTERBASIN TRANSFERS OF WATER IN THE WESTERN CONTERMINOUS UNITED STATES , 1989 .

[4]  G. Saporta.  Simultaneous Analysis of Qualitative and Quantitative Data , 1990 .

[5]  Michael Nieswiadomy,et al.  Estimating urban residential water demand: Effects of price structure, conservation, and education , 1992 .

[6]  T. McMahon,et al.  Residential Water Use: Predicting and Reducing Consumption1 , 1994 .

[7]  Peter H. Gleick,et al.  Basic Water Requirements for Human Activities: Meeting Basic Needs , 1996 .

[8]  Richard M. Vogel,et al.  Storage Reservoir Behavior in the United States , 1999 .

[9]  H. Campbell,et al.  Some best bets in residential water conservation : result of multivariate regression analysis, City of Phoenix, 1990-1996 : Final report , 1999 .

[10]  Sandra L. Postel,et al.  Water and world population growth , 2000 .

[11]  P. Gleick.  Water management: Soft water paths , 2002, Nature.

[12]  V. Corral-Verdugo,et al.  Residential Water Consumption, Motivation for Conserving Water and the Continuing Tragedy of the Commons , 2002, Environmental management.

[13]  Peter H. Gleick,et al.  Waste Not, Want Not: The Potential for Urban Water Conservation in California , 2003 .

[14]  G. Gregory,et al.  Repeated Behavior and Environmental Psychology: The Role of Personal Involvement and Habit Formation in Explaining Water Consumption1 , 2003 .

[15]  A. Sankarasubramanian,et al.  Hydroclimatology of the continental United States , 2003 .

[16]  H. Campbell,et al.  Prices, Devices, People, or Rules: The Relative Effectiveness of Policy Instruments in Water Conservation1 , 2004 .

[17]  B. Bates,et al.  Climate Change and Water: Technical Paper VI , 2008 .

[18]  William A. Clark,et al.  Household water conservation challenges in Blagoevgrad, Bulgaria: a descriptive study , 2008 .

[19]  Julian Thornton,et al.  Water Loss Control , 2008 .

[20]  B. Bates,et al.  Climate change and water. , 2008 .

[21]  M. Blanco,et al.  New directions in water resources management: The role of water pricing policies , 2008 .

[22]  Sheila M. Olmstead,et al.  Comparing price and nonprice approaches to urban water conservation , 2008 .

[23]  R. Balling,et al.  Sensitivity of residential water consumption to variations in climate: An intraurban analysis of Phoenix, Arizona , 2008 .

[24]  G. Daigger.  Evolving Urban Water and Residuals Management Paradigms: Water Reclamation and Reuse, Decentralization, and Resource Recovery , 2009, Water environment research : a research publication of the Water Environment Federation.

[25]  Larissa Larsen,et al.  Household Water Consumption in an Arid City: Affluence, Affordance, and Attitudes , 2009 .

[26]  Kevin O'Toole,et al.  Household water use behavior: an integrated model. , 2009, Journal of environmental management.

[27]  A. Sankarasubramanian,et al.  Improved Drought Management of Falls Lake Reservoir: Role of Multimodel Streamflow Forecasts in Setting up Restrictions , 2009 .

[28]  P. McIntyre,et al.  Global threats to human water security and river biodiversity , 2010, Nature.

[29]  Wesley W. Wallender,et al.  Reclaiming freshwater sustainability in the Cadillac Desert , 2010, Proceedings of the National Academy of Sciences.

[30]  Heejun Chang,et al.  Spatial Variations of Single-Family Residential Water Consumption in Portland, Oregon , 2010 .

[31]  Lily House-Peters,et al.  Effects of Urban Spatial Structure, Sociodemographics, and Climate on Residential Water Consumption in Hillsboro, Oregon1 , 2010 .

[32]  Kalyanmoy Deb,et al.  Calibration and Optimal Leakage Management for a Real Water Distribution Network , 2011 .

[33]  Peter H. Gleick,et al.  Water-use efficiency and productivity: rethinking the basin approach , 2011 .

[34]  Alberto Campisano,et al.  Calibration of Proportional Controllers for the RTC of Pressures to Reduce Leakage in Water Distribution Networks , 2012 .

[35]  Ankur Rathor,et al.  Web‐based benchmarking of drinking water utilities in the United States , 2013 .

[36]  Michael F. Wehner,et al.  Ch. 2: Our Changing Climate. Climate Change Impacts in the United States: The Third National Climate Assessment , 2014 .

[37]  G. Yohe,et al.  Climate Change Impacts in the United States: The Third National Climate Assessment , 2014 .

[38]  Dong Eun Lee,et al.  Dynamical Causes of the 2010/11 Texas–Northern Mexico Drought* , 2014 .

[39]  A. Sankarasubramanian,et al.  Decomposition of sources of errors in seasonal streamflow forecasting over the U.S. Sunbelt , 2014 .

[40]  V. L. McGuire.  Water-level changes and change in water in storage in the High Plains aquifer, predevelopment to 2013 and 2011-13 , 2014 .

[41]  S. B. Seo,et al.  Error Decomposition of Streamflow and Groundwater Projection Under Climate Change Information , 2014 .

[42]  Bernhard Truffer,et al.  The structuration of socio-technical regimes—Conceptual foundations from institutional theory , 2014 .

[43]  J. Pagès.  Multiple Factor Analysis by Example Using R , 2014 .

[44]  Shahzeen Z Attari,et al.  Perceptions of water use , 2014, Proceedings of the National Academy of Sciences.

[45]  Malcolm Farley,et al.  Losses in Water Distribution Networks: A Practitioners' Guide to Assessment, Monitoring and Control , 2015 .

[46]  A. Sankarasubramanian,et al.  Impacts of Near-Term Climate Change and Population Growth on Within-Year Reservoir Systems , 2015 .

[47]  G. Hornberger,et al.  Water conservation and hydrological transitions in cities in the United States , 2015 .

[48]  M. Hoerling,et al.  Causes of the 2011–14 California Drought , 2015 .

[49]  G. Mahinthakumar,et al.  Identification of dominant source of errors in developing streamflow and groundwater projections under near‐term climate change , 2016 .