Measurement and driving factors of grey water footprint efficiency in Yangtze River Basin

Water shortages and poor water quality have become an urgent problem that is constraining the sustainable development of China. Grey water has been found to bring greater stress on the water supply than freshwater consumption, and the grey water footprint (GWF) has received significant attention as...

Full description

Saved in:
Bibliographic Details
Published in:The Science of the total environment Vol. 802; p. 149587
Main Authors: Fu, Tianbo, Xu, Changxin, Yang, Lihua, Hou, Siyu, Xia, Qing
Format: Journal Article
Language:English
Published: Elsevier B.V 01-01-2022
Subjects:
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Water shortages and poor water quality have become an urgent problem that is constraining the sustainable development of China. Grey water has been found to bring greater stress on the water supply than freshwater consumption, and the grey water footprint (GWF) has received significant attention as a comprehensive indicator to assess wastewater pollution. In this study, we analysed the grey water footprint in the Yangtze River Basin from 2003 to 2017 and established a Logarithmic mean divisia index (LMDI) model to decompose the grey water footprint efficiency into six key factors. Our findings are as follows: (1) The average grey water footprint (AGWF) in the central regions was 40% higher than eastern region and 172% higher than western region; (2) Economic effects and capital deepening effects are the main factors affecting positive changes in grey water footprint efficiency; (3) Based on an analysis of the driving factors of greywater footprint efficiency in each province, we conducted a territorial classification according to the primary driving factors in each province. Our results reflect the spatial distribution characteristics of the influencing factors on the grey water footprint effect in the Yangtze River Basin and will enable the government to formulate relevant policies for each subregion. [Display omitted] •Assessment of grey water footprint and its efficiency in 11 provinces of the Yangtze River basin main stream.•The LMDI model incorporating capital deepening effects is used to assess the efficiency of the greywater footprint.•The grey water footprints in central regions, such as Hunan, Hubei, and Sichuan, are relatively high.•The grey water footprint efficiency in the prosperous eastern area is higher than in the developing regions.•The provinces where the efficiency of the grey water footprint is most affected by the two-factor.
ISSN:0048-9697
1879-1026
DOI:10.1016/j.scitotenv.2021.149587