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

机译:印度饮食用水和与饮食中蓝色水足迹有关的社会人口统计学因素

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摘要

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.
机译:农业约占印度淡水使用量的90%,人们担心未来的粮食生产将受到质量足够的供水不足的威胁。这项研究旨在使用水足迹(WF)评估方法对印度饮食生产中所需的水进行量化。使用混合效应回归模型探索了膳食白WF的社会人口统计学关联,特别是考虑到印度农业的重要性,特别关注蓝色(灌溉)白WF。来自印度的约7000名成年人的饮食数据与印度特定食物类别的WF数据相匹配,以量化典型饮食的蓝色和绿色(降雨)WF。日粮的平均蓝色和绿色WF分别为737 l /人均/天和2531 l /人均/天。蔬菜每单位质量产品的WFs最低,而块根/块茎每单位膳食能量的WFs最低。家禽产品具有最高的蓝色WF。小麦和大米分别贡献了膳食蓝色WF的31%和19%。植物油是膳食绿色WF的最大贡献者。饮食选择的区域差异意味着饮食中的蓝色WF差异很大,北方饮食中的蓝色WF比南方饮食高出近1.5倍。城市饮食中的蓝色WF高于农村饮食,较高的生活水平与较高的饮食蓝色WF相关。这项研究使用个体水平的饮食数据为印度饮食的WF提供了一个新颖的观点,并证明了由于不同的食物消费方式和社会人口统计学特征,WF的重要差异。未来饮食向高收入群体个人当前消费方式的转变可能会增加灌溉需求,给印度的水资源造成巨大压力。

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