The agricultural sector is responsible for around 85% of global freshwater consumption. Spatial variations of the water footprint (WF) of agricultural products can be employed to mitigate regional and global problems concerning water scarcity. In this study, the agricultural WF of Turkey at administrative boundary level based on a diverse crop pattern was analysed. The total, per capita and per land area blue and green WFs and virtual water contents (VWCs) of 81 agricultural products were calculated for administrative boundaries. Accordingly, the national WF of agricultural production was estimated to be 107 × 10⁹ m³, of which 56% is blue water. Cereals constitute the largest share of the national WF (57%), mostly due to the production of wheat, barley and maize. Detailed maps and quantifications of VWCs and total, per capita and per land area WFs of various crops are illustrated in this paper. To the authors’ knowledge, this study is the most comprehensive work carried out in the study area to date, with a wide range of crop patterns and administrative boundaries taken into account. This work is expected to contribute to national and international water management studies by proposing and discussing the water intensity of agricultural products at high spatial resolution.

中文翻译：

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农作物模式的蓝绿水足迹空间分析：土耳其

农业部门约占全球淡水消耗量的 85%。农产品水足迹 (WF) 的空间变化可用于缓解与水资源短缺有关的区域和全球问题。在这项研究中，分析了基于多样化作物模式的土耳其行政边界级别的农业 WF。以行政边界计算了81种农产品的总量、人均和土地面积蓝色和绿色WFs和虚拟水含量（VWCs）。因此，全国农业生产的 WF 估计为 107 × 10 ⁹  m ³，其中56%是蓝水。谷物占全国粮食产量的最大份额（57%），主要是由于小麦、大麦和玉米的生产。本文详细说明了 VWC 以及各种作物的总、人均和每土地面积 WF 的详细地图和量化。据作者所知，这项研究是迄今为止在研究区开展的最全面的工作，其中考虑了广泛的作物模式和行政边界。通过提出和讨论高空间分辨率农产品的水强度，这项工作有望为国家和国际水资源管理研究做出贡献。