global sub-national water consumption data

Water consumption is indispensable data in the trends and changes of key factors such as the water resource restoration process and water pressure judgment. Due to difficulties in obtaining and varying statistical dimensions, as the spatial scale continues to expand, the least reliable and most inconsistent water consumption also becomes apparent. As a result, the contradiction between the demand for data refinement and the slow development is increasingly expanding. With the innovation of research methods, the transformation from regionalization to rasterization has accelerated, but it has also caused difficulty in unifying conclusions. For this type of complex data, continuous "convergence" research can lead to more reliable results for practical applications. To this end, based on existing sub-national water withdrawal, this study takes into account the idea of the trapezoid model and the development trend of socio-economic indicators, spatially quantifies the utilization coefficient of agricultural water consumption, and corrects and calculates the utilization coefficient of industrial/municipal water consumption. This study not only provides reliable insights into water consumption trends and key shifts in different sectors, but also provides strong support for the boundary constraints of sub-national data. Furthermore, by considering the changing relationship between the development rate and the averageness, the restriction situation of different sectors at the sub-national level was analyzed. Among them, industrial water consumption played a very significant role in achieving the goal of reaching the peak.用水量是水资源修复进程、水压研判等核心要素的趋势与变化研究中不可或缺的基础数据。但由于数据获取难度较高且统计维度存在差异，随着空间尺度持续扩大，用水量数据可靠性偏低、一致性偏差的问题也愈发凸显。由此，数据精细化需求与发展滞后之间的矛盾日益加剧。随着研究方法的革新，从区域化向栅格化(Rasterization)的转型进程不断加快，但这也导致研究结论难以统一。针对这类复杂数据集，持续开展"收敛性"研究可为实际应用提供更可靠的结果支撑。为此，本研究基于现有次国家层面(sub-national)取水量数据，结合梯形模型(Trapezoid Model)理念与社会经济指标发展趋势，对农业用水量利用系数进行空间量化，并对工业/城镇用水量利用系数开展修正测算。本研究不仅可为不同行业的用水量趋势与格局转变提供可靠的研判依据，也为次国家层面数据的边界约束提供了有力支撑。此外，本研究通过考量发展速率与均衡性之间的动态关系，分析了次国家层面各行业的约束现状。其中，工业用水量对达成用水峰值目标具有极为显著的推动作用。