IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v29y2015i14p5185-5200.html
   My bibliography  Save this article

A High Spatiotemporal Assessment of Consumptive Water Use and Water Scarcity in the Conterminous United States

Author

Listed:
  • Brandon Moore
  • André Coleman
  • Mark Wigmosta
  • Richard Skaggs
  • Erik Venteris

Abstract

There is an inextricable link between energy production and food/feed/fiber cultivation with available water resources. Currently in the United States, agriculture represents the largest sector of consumptive water use making up 80.7 % of the total. Electricity generation in the U.S. is projected to increase by 24 % in the next two decades and globally, the production of liquid transportation fuels are forecasted to triple over the next 25-years, having significant impacts on the import/export market and global economies. The tension between local water supply and demand across water use sectors needs to be evaluated with regards to risk evaluation and planning. To this end, we present a systematic method to spatially and temporally disaggregate nationally available 5-year county-scale water use data to a monthly 1/8° scale. Our study suggests that while 81.9 % of the U.S. exhibits unstressed local conditions at the annual scale, 13.7 % is considered water scarce; this value increases to 17.3 % in the summer months. The use of mean annual water scarcity at a coarser basin scale (~373,000 ha) was found to mask information critical for water planning whereas finer spatiotemporal scales revealed local areas that are water stressed or water scarce. Nationally, ~1 % of these “unstressed” basins actually contained water stressed or water scarce areas equivalent to at least 30 % and 17 %, respectively, of the basin area. These percentages increase to 34 % and 48 % in the summer months. Additionally, 15 % of basins classified as “unstressed” contained water scarce areas in excess of 10 % during the summer. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Brandon Moore & André Coleman & Mark Wigmosta & Richard Skaggs & Erik Venteris, 2015. "A High Spatiotemporal Assessment of Consumptive Water Use and Water Scarcity in the Conterminous United States," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(14), pages 5185-5200, November.
  • Handle: RePEc:spr:waterr:v:29:y:2015:i:14:p:5185-5200
    DOI: 10.1007/s11269-015-1112-x
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11269-015-1112-x
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11269-015-1112-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. -, 1997. "Economic survey of Canada, 1996," Oficina de la CEPAL en Washington (Estudios e Investigaciones) 28967, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    2. Animesh Gain & Yoshihide Wada, 2014. "Assessment of Future Water Scarcity at Different Spatial and Temporal Scales of the Brahmaputra River Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(4), pages 999-1012, March.
    3. -, 1997. "Economic survey of Puerto Rico, 1996," Oficina de la CEPAL en Washington (Estudios e Investigaciones) 28973, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    4. -, 1997. "Economic survey of United States, 1996," Oficina de la CEPAL en Washington (Estudios e Investigaciones) 28969, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    5. Eshita Gupta, 2012. "Global warming and electricity demand in the rapidly growing city of Delhi: A Semi-parametric variable coefficient approach," Discussion Papers 12-02, Indian Statistical Institute, Delhi.
    6. -, 2010. "Statistical survey," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 3, pages 152-194.
    7. Julian Fulton & Heather Cooley & Peter Gleick, 2014. "Water Footprint Outcomes and Policy Relevance Change with Scale Considered: Evidence from California," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(11), pages 3637-3649, September.
    8. Jon Franczyk & Heejun Chang, 2009. "Spatial Analysis of Water Use in Oregon, USA, 1985–2005," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(4), pages 755-774, March.
    9. Gupta, Eshita, 2012. "Global warming and electricity demand in the rapidly growing city of Delhi: A semi-parametric variable coefficient approach," Energy Economics, Elsevier, vol. 34(5), pages 1407-1421.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bors, Julijana & O’Brien, Katherine R. & Kenway, Steven J. & Lant, Paul A., 2017. "Regional-scale variability of cold water temperature: Implications for household water-related energy demand," Resources, Conservation & Recycling, Elsevier, vol. 124(C), pages 107-115.
    2. Colaizzi, Paul D. & O’Shaughnessy, Susan A. & Evett, Steve R. & Mounce, Ryan B., 2017. "Crop evapotranspiration calculation using infrared thermometers aboard center pivots," Agricultural Water Management, Elsevier, vol. 187(C), pages 173-189.
    3. Bagstad, Kenneth J. & Ancona, Zachary H. & Hass, Julie & Glynn, Pierre D. & Wentland, Scott & Vardon, Michael & Fay, John, 2020. "Integrating physical and economic data into experimental water accounts for the United States: Lessons and opportunities," Ecosystem Services, Elsevier, vol. 45(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Harish, Santosh & Singh, Nishmeet & Tongia, Rahul, 2020. "Impact of temperature on electricity demand: Evidence from Delhi and Indian states," Energy Policy, Elsevier, vol. 140(C).
    2. Byrne, Paul & Fournaison, Laurence & Delahaye, Anthony & Ait Oumeziane, Yacine & Serres, Laurent & Loulergue, Patrick & Szymczyk, Anthony & Mugnier, Daniel & Malaval, Jean-Luc & Bourdais, Romain & Gue, 2015. "A review on the coupling of cooling, desalination and solar photovoltaic systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 703-717.
    3. Hongliang Zhang & Jianhong E. Mu & Bruce A. McCarl & Jialing Yu, 2022. "The impact of climate change on global energy use," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 27(1), pages 1-19, January.
    4. Daniyal Zuberi, 2001. "Transfers Matter Most," LIS Working papers 271, LIS Cross-National Data Center in Luxembourg.
    5. Du, Kerui & Yu, Ying & Wei, Chu, 2020. "Climatic impact on China's residential electricity consumption: Does the income level matter?," China Economic Review, Elsevier, vol. 63(C).
    6. Wang, Yaoping & Bielicki, Jeffrey M., 2018. "Acclimation and the response of hourly electricity loads to meteorological variables," Energy, Elsevier, vol. 142(C), pages 473-485.
    7. Xu, Bin & Lin, Boqiang, 2015. "How industrialization and urbanization process impacts on CO2 emissions in China: Evidence from nonparametric additive regression models," Energy Economics, Elsevier, vol. 48(C), pages 188-202.
    8. Marilyn A. Brown & Matt Cox & Ben Staver & Paul Baer, 2016. "Modeling climate-driven changes in U.S. buildings energy demand," Climatic Change, Springer, vol. 134(1), pages 29-44, January.
    9. Eshita Gupta, 2016. "The Effect Of Development On The Climate Sensitivity Of Electricity Demand In India," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 7(02), pages 1-49, May.
    10. Xu, Bin & Lin, Boqiang, 2016. "Reducing CO2 emissions in China's manufacturing industry: Evidence from nonparametric additive regression models," Energy, Elsevier, vol. 101(C), pages 161-173.
    11. Waite, Michael & Cohen, Elliot & Torbey, Henri & Piccirilli, Michael & Tian, Yu & Modi, Vijay, 2017. "Global trends in urban electricity demands for cooling and heating," Energy, Elsevier, vol. 127(C), pages 786-802.
    12. Matthew Ranson & Lauren Morris & Alex Kats-Rubin, 2014. "Climate Change and Space Heating Energy Demand: A Review of the Literature," NCEE Working Paper Series 201407, National Center for Environmental Economics, U.S. Environmental Protection Agency, revised Dec 2014.
    13. Eshita Gupta, 2014. "The Effect of development on the climate sensitivity of electricity demand in India," Discussion Papers 14-05, Indian Statistical Institute, Delhi.
    14. Li, Jianglong & Yang, Lisha & Long, Houyin, 2018. "Climatic impacts on energy consumption: Intensive and extensive margins," Energy Economics, Elsevier, vol. 71(C), pages 332-343.
    15. Marilyn Brown & Matt Cox & Ben Staver & Paul Baer, 2016. "Modeling climate-driven changes in U.S. buildings energy demand," Climatic Change, Springer, vol. 134(1), pages 29-44, January.
    16. Falchetta, Giacomo & Mistry, Malcolm N., 2021. "The role of residential air circulation and cooling demand for electrification planning: Implications of climate change in sub-Saharan Africa," Energy Economics, Elsevier, vol. 99(C).
    17. Mahuya Basu & Tanupa Chakraborty, 2019. "Weather risk assessment of Indian power sector: A conditional value-at-risk approach," Energy & Environment, , vol. 30(4), pages 641-661, June.
    18. Ang, B.W. & Wang, H. & Ma, Xiaojing, 2017. "Climatic influence on electricity consumption: The case of Singapore and Hong Kong," Energy, Elsevier, vol. 127(C), pages 534-543.
    19. Hao, Xiaoli & Deng, Feng, 2019. "The marginal and double threshold effects of regional innovation on energy consumption structure: Evidence from resource-based regions in China," Energy Policy, Elsevier, vol. 131(C), pages 144-154.
    20. Michael O'Donnell & Robert P. Berrens, 2018. "Understanding Falling Municipal Water Demand in a Small City Dependent on the Declining Ogallala Aquifer: Case Study of Clovis, New Mexico," Water Economics and Policy (WEP), World Scientific Publishing Co. Pte. Ltd., vol. 4(04), pages 1-40, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:waterr:v:29:y:2015:i:14:p:5185-5200. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.