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The water use of Indian diets and socio-demographic factors related to dietary blue water footprint

Agriculture accounts for ~ 90% of India's fresh water use, and there are concerns that future food production will be threatened by insufficient water supply of adequate quality. This study aimed to quantify the water required in the production of diets in India using the water footprint (WF) a...

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Autores principales: Harris, Francesca, Green, Rosemary F, Joy, Edward J M, Kayatz, Benjamin, Haines, Andy, Dangour, Alan D
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5378197/
https://www.ncbi.nlm.nih.gov/pubmed/28215793
http://dx.doi.org/10.1016/j.scitotenv.2017.02.085
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author Harris, Francesca
Green, Rosemary F
Joy, Edward J M
Kayatz, Benjamin
Haines, Andy
Dangour, Alan D
author_facet Harris, Francesca
Green, Rosemary F
Joy, Edward J M
Kayatz, Benjamin
Haines, Andy
Dangour, Alan D
author_sort Harris, Francesca
collection PubMed
description Agriculture accounts for ~ 90% of India's fresh water use, and there are concerns that future food production will be threatened by insufficient water supply of adequate quality. This study aimed to quantify the water required in the production of diets in India using the water footprint (WF) assessment method. The socio-demographic associations of dietary WFs were explored using mixed effects regression models with a particular focus on blue (irrigation) WF given the importance for Indian agriculture. Dietary data from ~ 7000 adults living in India were matched to India-specific WF data for food groups to quantify the blue and green (rainfall) WF of typical diets. The mean blue and green WF of diets was 737 l/capita/day and 2531 l/capita/day, respectively. Vegetables had the lowest WFs per unit mass of product, while roots/tubers had the lowest WFs per unit dietary energy. Poultry products had the greatest blue WFs. Wheat and rice contributed 31% and 19% of the dietary blue WF respectively. Vegetable oils were the highest contributor to dietary green WF. Regional variation in dietary choices meant large differences in dietary blue WFs, whereby northern diets had nearly 1.5 times greater blue WFs than southern diets. Urban diets had a higher blue WF than rural diets, and a higher standard of living was associated with larger dietary blue WFs. This study provides a novel perspective on the WF of diets in India using individual-level dietary data, and demonstrates important variability in WFs due to different food consumption patterns and socio-demographic characteristics. Future dietary shifts towards patterns currently consumed by individuals in higher income groups, would likely increase irrigation requirements putting substantial pressure on India's water resources.
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spelling pubmed-53781972017-06-01 The water use of Indian diets and socio-demographic factors related to dietary blue water footprint Harris, Francesca Green, Rosemary F Joy, Edward J M Kayatz, Benjamin Haines, Andy Dangour, Alan D Sci Total Environ Article Agriculture accounts for ~ 90% of India's fresh water use, and there are concerns that future food production will be threatened by insufficient water supply of adequate quality. This study aimed to quantify the water required in the production of diets in India using the water footprint (WF) assessment method. The socio-demographic associations of dietary WFs were explored using mixed effects regression models with a particular focus on blue (irrigation) WF given the importance for Indian agriculture. Dietary data from ~ 7000 adults living in India were matched to India-specific WF data for food groups to quantify the blue and green (rainfall) WF of typical diets. The mean blue and green WF of diets was 737 l/capita/day and 2531 l/capita/day, respectively. Vegetables had the lowest WFs per unit mass of product, while roots/tubers had the lowest WFs per unit dietary energy. Poultry products had the greatest blue WFs. Wheat and rice contributed 31% and 19% of the dietary blue WF respectively. Vegetable oils were the highest contributor to dietary green WF. Regional variation in dietary choices meant large differences in dietary blue WFs, whereby northern diets had nearly 1.5 times greater blue WFs than southern diets. Urban diets had a higher blue WF than rural diets, and a higher standard of living was associated with larger dietary blue WFs. This study provides a novel perspective on the WF of diets in India using individual-level dietary data, and demonstrates important variability in WFs due to different food consumption patterns and socio-demographic characteristics. Future dietary shifts towards patterns currently consumed by individuals in higher income groups, would likely increase irrigation requirements putting substantial pressure on India's water resources. Elsevier 2017-06-01 /pmc/articles/PMC5378197/ /pubmed/28215793 http://dx.doi.org/10.1016/j.scitotenv.2017.02.085 Text en © 2017 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Harris, Francesca
Green, Rosemary F
Joy, Edward J M
Kayatz, Benjamin
Haines, Andy
Dangour, Alan D
The water use of Indian diets and socio-demographic factors related to dietary blue water footprint
title The water use of Indian diets and socio-demographic factors related to dietary blue water footprint
title_full The water use of Indian diets and socio-demographic factors related to dietary blue water footprint
title_fullStr The water use of Indian diets and socio-demographic factors related to dietary blue water footprint
title_full_unstemmed The water use of Indian diets and socio-demographic factors related to dietary blue water footprint
title_short The water use of Indian diets and socio-demographic factors related to dietary blue water footprint
title_sort water use of indian diets and socio-demographic factors related to dietary blue water footprint
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5378197/
https://www.ncbi.nlm.nih.gov/pubmed/28215793
http://dx.doi.org/10.1016/j.scitotenv.2017.02.085
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