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Related Experiment Video

Updated: May 23, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

Considerations on methodological challenges for water footprint calculations.

S Thaler1, M Zessner, F Bertran De Lis

  • 1Institute for Water Quality, Resources and Waste Management, Vienna University of Technology, Vienna, Austria. sthaler@iwag.tuwien.ac.at

Water Science and Technology : a Journal of the International Association on Water Pollution Research
|March 23, 2012
PubMed
Summary

Water footprint (WF) calculations vary significantly based on methodology. Standardizing the grey WF calculation is crucial for reliable water resource management in agriculture, particularly for sugar beet production.

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Last Updated: May 23, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

Area of Science:

  • Environmental Science
  • Agricultural Science
  • Water Resource Management

Background:

  • Water footprint (WF) assessments are vital for understanding water use in agriculture.
  • Existing WF calculation methods lack standardization, leading to inconsistent results.
  • Sugar beet production and refining serve as case studies for evaluating WF methodologies.

Purpose of the Study:

  • To investigate the impact of different water footprint calculation approaches on results.
  • To highlight discrepancies in water usage estimations (blue and green water) for sugar beet production.
  • To analyze the variability of grey water footprint based on chosen water quality standards.

Main Methods:

  • Comparison of various water footprint calculation methodologies.
  • Utilized real irrigation data from 59 European sugar beet growing areas.
  • Evaluated the sensitivity of grey WF to different receiving water quality standards.

Main Results:

  • A widely used simple WF approach inadequately estimated irrigation water, overestimating blue water and underestimating green water.
  • Grey WF results varied by over a factor of 10 depending on the selected water quality standard.
  • Methodological choices and assumptions significantly influence WF calculation outcomes.

Conclusions:

  • Further development and standardization of WF calculation methods are essential for reliable and comparable results.
  • Standardization of the grey WF methodology, particularly concerning receiving water quality standards, requires focused attention.
  • Improved WF standardization is critical for effective water resource management and agricultural sustainability.