基于全球作物模型的模拟研究1990–2019年期间175种作物的水足迹与作物用水量

作物的水足迹（Water Footprint，WF）是评估农业用水量和生产效率的常用指标。为更新并改进现有的水足迹数据集，本研究应用了一个全球过程驱动的作物模型，在5弧分（约10公里）分辨率下，模拟并量化了1990–2019年间175种作物的耗水性水足迹。该模型依据当地环境条件、作物特性及农田管理措施，模拟了每日的作物生长和垂直水分收支。
研究将水足迹划分为绿色水足迹（来自降水的水）和蓝色水足迹（来自灌溉或毛细上升的水），并区分了雨养与灌溉生产系统。输出数据包括单位水足迹的网格数据和国家尺度平均值（以 m³/t/yr 表示）、作物生产总水足迹（m³/yr）和作物用水量（mm/yr）。
本研究还将结果与其他采用不同历史时期和方法的全球研究进行了对比。所提供的数据产品可用于揭示农业用水的时空格局，并为虚拟水贸易研究、生命周期评估和水足迹评估等提供支撑。

The Water Footprint (WF) of crops is a commonly used indicator for evaluating agricultural water consumption and production efficiency. To update and improve existing water footprint datasets, this study applied a global process-driven crop model at a resolution of 5 arc-minutes (~10 km) to simulate and quantify the consumptive water footprints of 175 crop types over the period 1990–2019. This model simulates daily crop growth and vertical water budgets based on local environmental conditions, crop characteristics, and farmland management practices.

This study classified water footprints into green water footprints (water sourced from precipitation) and blue water footprints (water sourced from irrigation or capillary rise), and differentiated between rainfed and irrigated production systems. The output data includes grid-level data of water footprint per unit yield (expressed in m³/t/yr), national-scale average values, total water footprints of crop production (in m³/yr), and crop water use (in mm/yr).

This study also compared the research results with other global studies that adopted different historical periods and methodologies. The provided data products can be used to reveal the spatiotemporal patterns of agricultural water use, and provide support for studies on virtual water trade, life cycle assessment, water footprint assessment, and other relevant research areas.

搜集汇总

背景与挑战

背景概述

该数据集基于全球过程驱动的作物模型，在1990–2019年期间模拟了175种作物的水足迹和作物用水量，分辨率为5弧分（约10公里）。它将水足迹细分为绿色水足迹（来自降水）和蓝色水足迹（来自灌溉），并区分雨养与灌溉系统，提供网格和国家尺度的数据，用于分析农业用水的时空格局和支持虚拟水贸易等研究。