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Gray Water Footprint: Taking Quality, Quantity, and Time Effect into Consideration

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  • Yifan Gu
  • Yi Li
  • Hongtao Wang
  • Fengting Li

Abstract

Water footprint is a research hotspot in the field of water resource. Gray water footprint is important in the assessment of environmental effects on water resource. In this short communication, a new gray water footprint assessment method was proposed as: WFgray(α, β, ϒ). Here α is an index for water quality effect assessment; β is an index for water quantity effect assessment; ϒ is an index for time effect assessment. This model takes water quality, quantity, and time effect into consideration. We firmly believe that this method will contribute to the development of water footprint assessment. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Yifan Gu & Yi Li & Hongtao Wang & Fengting Li, 2014. "Gray Water Footprint: Taking Quality, Quantity, and Time Effect into Consideration," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(11), pages 3871-3874, September.
    • Handle: RePEc:spr:waterr:v:28:y:2014:i:11:p:3871-3874
    DOI: 10.1007/s11269-014-0695-y
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    Citations

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    Cited by:

    1. Jiefeng Kang & Jianyi Lin & Xiaofeng Zhao & Shengnan Zhao & Limin Kou, 2017. "Decomposition of the Urban Water Footprint of Food Consumption: A Case Study of Xiamen City," Sustainability, MDPI, vol. 9(1), pages 1-14, January.
    2. Rui Shu & Xinchun Cao & Mengyang Wu, 2021. "Clarifying Regional Water Scarcity in Agriculture based on the Theory of Blue, Green and Grey Water Footprints," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(3), pages 1101-1118, February.
    3. Zhang, Fengtai & Xiao, Yuedong & Gao, Lei & Ma, Dalai & Su, Ruiqi & Yang, Qing, 2022. "How agricultural water use efficiency varies in China—A spatial-temporal analysis considering unexpected outputs," Agricultural Water Management, Elsevier, vol. 260(C).
    4. Dan-dan Zhang & Ju-qin Shen & Fu-hua Sun, 2022. "Water Resources Liability Measurement and the Driving Factors of Water Resources Liability Intensity," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(5), pages 1553-1569, March.

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