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Computers & Chemical Engineering
Article . 2020 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Computers & Chemical Engineering
Article
License: CC BY
Data sources: UnpayWall
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Water planning framework for alfalfa fields using treated wastewater fertigation in Qatar: An energy-water-food nexus approach

Authors: Gordon McKay; Fatima-zahra Lahlou; Udeogu C. Onwusogh; Hamish R. Mackey; Tareq Al-Ansari;

Water planning framework for alfalfa fields using treated wastewater fertigation in Qatar: An energy-water-food nexus approach

Abstract

Abstract The state of Qatar is challenged by food insecurity due to its limited water resources. Considering its large industrial infrastructure and municipal water usage, treated wastewater with varying nutritional content can alleviate the stress on groundwater resources and enhance food production. Using an energy-water-food nexus approach, this study presents a planning framework that identifies the optimum allocation of 13 sources of treated wastewater to be used in cultivating alfalfa, achieving reductions in greywater footprint, energy for transportation, and carbon footprint. The treated wastewater sources are allocated according to their nitrogen-phosphorus-potassium contents to meet alfalfa requirements while respecting irrigation water standards. Results demonstrate that treated wastewater optimally provides the water and nutrient requirements to both farms. Greywater footprint, energy for transportation, and carbon footprint associated with the growth of 1 ton of alfalfa are found to be -917m3, 70 kWh and -34kg-Co2,eq for Er-rakhiya farm, and -1,770m3, 68 kWh and -18kg-Co2,eq for Wadi Al Araig farm.

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    31
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
31
Top 10%
Top 10%
Top 10%
hybrid