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Quantifying Household Water Demand: A Review of Theory and Practice in the UK

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  • Joanne Parker
  • Robert Wilby

Abstract

Socio-economic change, severe droughts, and environmental concerns focus attention on sustainability of water supplies and the ability of water utilities to meet levels of service. Traditionally, water management has been supply-side dominated and long-term demand forecasting has received relatively little attention. However, it is increasingly recognised that water demand management could be a ‘low regret’ adaptation measure (both financially and environmentally) given large uncertainties about future non-climate and climate pressures. This paper begins with a brief history of household water demand management in the UK. We then review approaches to water demand estimation and forecasting over the short- (daily to season) and long-term (years to decade) and note the paucity of studies on weather and climate. We discuss peak household water use behaviours identified from metering trials, micro-component diary-based studies, and statistical techniques for long-term demand forecasting. We refer to the Anglian Water Services (AWS) ‘Golden 100’ data to illustrate the significant practical and conceptual issues faced when mining household water use data for weather signals, especially when the data are noisy and originally intended for other applications. Further research is needed into the relationships between climate variables and household micro-component water use, especially for peak demands. Copyright The Author(s) 2013

Suggested Citation

  • Joanne Parker & Robert Wilby, 2013. "Quantifying Household Water Demand: A Review of Theory and Practice in the UK," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(4), pages 981-1011, March.
    • Handle: RePEc:spr:waterr:v:27:y:2013:i:4:p:981-1011
    DOI: 10.1007/s11269-012-0190-2
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    References listed on IDEAS

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    1. John Tate, 2000. "Water supply in the UK: towards a more sustainable future?," Sustainable Development, John Wiley & Sons, Ltd., vol. 8(3), pages 155-164.
    2. Fernando Arbués & Inmaculada Villanúa & Ramón Barberán, 2010. "Household size and residential water demand: an empirical approach ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 54(1), pages 61-80, January.
    3. Christian Richter & Rainer Stamminger, 2012. "Water Consumption in the Kitchen – A Case Study in Four European Countries," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(6), pages 1639-1649, April.
    4. Arbues, Fernando & Villanu´a, Inmaculada & Barberán Ortí, Ramón, 2010. "Household size and residential water demand: an empirical approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 54(1), pages 1-20.
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    Cited by:

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    2. Álvaro Sordo-Ward & Isabel Granados & Francisco Martín-Carrasco & Luis Garrote, 2016. "Impact of Hydrological Uncertainty on Water Management Decisions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(14), pages 5535-5551, November.
    3. Lee, Gi-Eu & Chou, Chang-Erh, 2020. "The Ex Ante Price Information Effect on Water Conservation: A Case Study of Taipei’s Water Tariff Adjustment," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304253, Agricultural and Applied Economics Association.
    4. D. Manouseli & B. Anderson & M. Nagarajan, 2018. "Domestic Water Demand During Droughts in Temperate Climates: Synthesising Evidence for an Integrated Framework," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(2), pages 433-447, January.
    5. Makki, Anas A. & Stewart, Rodney A. & Beal, Cara D. & Panuwatwanich, Kriengsak, 2015. "Novel bottom-up urban water demand forecasting model: Revealing the determinants, drivers and predictors of residential indoor end-use consumption," Resources, Conservation & Recycling, Elsevier, vol. 95(C), pages 15-37.
    6. Gurung, Thulo Ram & Stewart, Rodney A. & Sharma, Ashok K. & Beal, Cara D., 2014. "Smart meters for enhanced water supply network modelling and infrastructure planning," Resources, Conservation & Recycling, Elsevier, vol. 90(C), pages 34-50.
    7. Dália Loureiro & Aisha Mamade & Marta Cabral & Conceição Amado & Dídia Covas, 2016. "A Comprehensive Approach for Spatial and Temporal Water Demand Profiling to Improve Management in Network Areas," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(10), pages 3443-3457, August.
    8. Thulo Ram Gurung & Rodney A. Stewart & Cara D. Beal & Ashok K. Sharma, 2016. "Investigating the Financial Implications and Viability of Diversified Water Supply Systems in an Urban Water Supply Zone," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(11), pages 4037-4051, September.
    9. Arnaud Reynaud & Denis Lanzanova & Miodrag B. Milovanovic & Ad de Roo, 2016. "Informing Water Policies with a Residential Water Demand Function: The Case of Serbia," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 13(2), pages 247-266, December.

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