Feng Liu , Chen Yue , Jianfei Ma , Sijia Guo , Long Li
{"title":"基于水足迹理论的西部九省水资源评价及驱动因素分析","authors":"Feng Liu , Chen Yue , Jianfei Ma , Sijia Guo , Long Li","doi":"10.1016/j.ecolind.2025.113457","DOIUrl":null,"url":null,"abstract":"<div><div>The Western China is characterized by scarce rainfall and fragile ecological environments. The quantity and utilization of water resources determine the region’s development prospects. Previous studies have assessed water resource changes in this region using the water footprint concept but struggled to quantify actual water consumption, resulting in double counting of blue water and gray water. This study applies the virtual water footprint theory to integrate water footprint and water stress indicators from 2015 to 2023. It establishes a multi-dimensional water resource evaluation system, and uses the LMDI method to identify driving factors. Results show an uneven spatial distribution of per capita water footprint, with virtual water footprint accounting for 67.01% to 86.60% of total water resource consumption. And the results of this method are overall 30% to 40% smaller. Overall water stress is manageable, but water supply–demand conflicts are significant in Ningxia. Economic and technological effects are the main positive and negative driving factors of the study area’s water footprint, respectively. Thus, industrial upgrading and technological innovation could alleviate these regions’ water resource constraints in multiple ways. Our findings indicate weak sustainable water use capacity in the nine western provinces (regions), providing a scientific basis for optimizing western China’s water resource allocation and devising differentiated water-saving policies.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"174 ","pages":"Article 113457"},"PeriodicalIF":7.0000,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Water resources evaluation and driving factor analysis in nine provinces of Western China based on water footprint theory\",\"authors\":\"Feng Liu , Chen Yue , Jianfei Ma , Sijia Guo , Long Li\",\"doi\":\"10.1016/j.ecolind.2025.113457\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The Western China is characterized by scarce rainfall and fragile ecological environments. The quantity and utilization of water resources determine the region’s development prospects. Previous studies have assessed water resource changes in this region using the water footprint concept but struggled to quantify actual water consumption, resulting in double counting of blue water and gray water. This study applies the virtual water footprint theory to integrate water footprint and water stress indicators from 2015 to 2023. It establishes a multi-dimensional water resource evaluation system, and uses the LMDI method to identify driving factors. Results show an uneven spatial distribution of per capita water footprint, with virtual water footprint accounting for 67.01% to 86.60% of total water resource consumption. And the results of this method are overall 30% to 40% smaller. Overall water stress is manageable, but water supply–demand conflicts are significant in Ningxia. Economic and technological effects are the main positive and negative driving factors of the study area’s water footprint, respectively. Thus, industrial upgrading and technological innovation could alleviate these regions’ water resource constraints in multiple ways. Our findings indicate weak sustainable water use capacity in the nine western provinces (regions), providing a scientific basis for optimizing western China’s water resource allocation and devising differentiated water-saving policies.</div></div>\",\"PeriodicalId\":11459,\"journal\":{\"name\":\"Ecological Indicators\",\"volume\":\"174 \",\"pages\":\"Article 113457\"},\"PeriodicalIF\":7.0000,\"publicationDate\":\"2025-04-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ecological Indicators\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1470160X25003875\",\"RegionNum\":2,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Indicators","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1470160X25003875","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Water resources evaluation and driving factor analysis in nine provinces of Western China based on water footprint theory
The Western China is characterized by scarce rainfall and fragile ecological environments. The quantity and utilization of water resources determine the region’s development prospects. Previous studies have assessed water resource changes in this region using the water footprint concept but struggled to quantify actual water consumption, resulting in double counting of blue water and gray water. This study applies the virtual water footprint theory to integrate water footprint and water stress indicators from 2015 to 2023. It establishes a multi-dimensional water resource evaluation system, and uses the LMDI method to identify driving factors. Results show an uneven spatial distribution of per capita water footprint, with virtual water footprint accounting for 67.01% to 86.60% of total water resource consumption. And the results of this method are overall 30% to 40% smaller. Overall water stress is manageable, but water supply–demand conflicts are significant in Ningxia. Economic and technological effects are the main positive and negative driving factors of the study area’s water footprint, respectively. Thus, industrial upgrading and technological innovation could alleviate these regions’ water resource constraints in multiple ways. Our findings indicate weak sustainable water use capacity in the nine western provinces (regions), providing a scientific basis for optimizing western China’s water resource allocation and devising differentiated water-saving policies.
期刊介绍:
The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published.
• All aspects of ecological and environmental indicators and indices.
• New indicators, and new approaches and methods for indicator development, testing and use.
• Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources.
• Analysis and research of resource, system- and scale-specific indicators.
• Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs.
• How research indicators can be transformed into direct application for management purposes.
• Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators.
• Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.