灌溉排水学报2025，Vol.44Issue(2)：1-10,10.DOI:10.13522/j.cnki.ggps.2024379
基于蓝水、绿水足迹和PLS-SEM模型的长江流域粮食生产用水解析及驱动力分析
Using water footprints and PLS-SEM model to analyze water utilization and its determinants for food production in the Yangtze River Basin
摘要
Abstract
[Objective]Food production is the primary consumer of water resources in many countries.At the catchment and basin scale,understanding the spatiotemporal variation of food production and the underlying determinants is crucial for improving water resource use efficiency and promoting sustainable development.We propose a new method in this paper to analyze this issue.[Method]Our study focuses on the Yangtze River Basin.The water used for food production and its spatiotemporal variation from 2000 to 2020 in the basin were calculated based on crop water demand.Path analysis was used to elucidate the underlying determinants affecting the blue and green water footprint per unit area.[Result]① The annual average grain water footprint in the basin from 2000 to 2020 was 205.25×109 m3,with the green water footprint accounting for 66%.② Due to differences in cultivation scales,the upper,middle,and lower reaches contributed 36.5%,46.8%,and 16.7%,respectively,to the total grain water footprint of the basin.Additionally,the grain water footprints in the middle and lower reaches have increasingly relied on green water.③ Meteorological factors positively influenced the density of the green water footprint and negatively affected the density of the blue water footprint.Social development and economic factors significantly impacted the density of the blue water footprint.[Conclusion]The middle reaches of the Yangtze River Basin,where irrigation demand for grain crop production is high,are likely to face growing pressure due to land and water resource shortages.This challenge is particularly acute in Henan,Hubei,Hunan,and Jiangxi provinces,where investments in agricultural infrastructure,such as irrigation systems and advanced water management technologies,are essential.In Gansu,Qinghai,and Henan provinces,where water scarcity and pollution persist,adopting technologies such as soil mulching,rainwater harvesting and water storage can enhance green water utilization and alleviate regional water resource pressures.关键词
作物/蓝水足迹/绿水足迹/路径分析/流域Key words
crops/blue water footprint/green water footprint/path analysis/basin分类
农业科技引用本文复制引用
秦雅琴,吴楠,吴梦洋,张金鹏,操信春..基于蓝水、绿水足迹和PLS-SEM模型的长江流域粮食生产用水解析及驱动力分析[J].灌溉排水学报,2025,44(2):1-10,10.基金项目
国家自然科学基金项目(52309049) （52309049）
江苏省自然科学基金项目(BK20221504,BK20230969) （BK20221504,BK20230969）
河南省水利科技应用中心开放课题(HNAZ202402) （HNAZ202402）
