Processes data for graphs and charts_the increasing water stress projected for China could shift the agriculture and manufacturing industry geographically.xlsx

This file contains the processes data utilized in the study <b><i>The increasing water stress projected for China could shift the agriculture and manufacturing industry geographically</i></b><b>.</b>In this study, we develop a new water stress prediction index using a fuzzy decision-making approach, which analyzes spatiotemporal variations of water stress and concomitant effects on the populace within China. Our results indicate that water stress will increase from 2020 to 2099 under both low and high emission scenarios, primarily due to decreased water supplies like surface runoff and snow water content. Seasonal analysis reveals that annual fluctuations in water stress are mainly driven by changes in spring and autumn. Water stress is projected to be considerably lower in southeastern provinces compared to northwestern ones, where, on average, over 20% of the Chinese population could be severely impacted. These changes in water stress could lead to the north-to-south migration of the agriculture sector, manufacturing sector, and human population.

本文件包含研究《中国预计日益加剧的水资源压力或将引发农业与制造业的地理迁移》所使用的过程数据集。本研究采用模糊决策方法构建了全新的水资源压力预测指数，用于分析中国境内水资源压力的时空变化特征及其对民众带来的连带影响。研究结果显示，在低排放与高排放情景下，2020年至2099年间水资源压力均呈上升趋势，这主要归因于地表径流、积雪水储量等水资源供给量的减少。季节分析结果表明，水资源压力的年度波动主要受春季与秋季的变化驱动。相较于西北省份，东南省份的水资源压力预计将显著更低；而西北省份平均将有超20%的中国人口受到严重影响。水资源压力的这类变化或将引发农业、制造业以及人口的南北迁移。