中国灰水足迹时空动态演进及驱动因素研究OA北大核心CSTPCD

The grey water footprint enables the assessment of water environmental pollution in terms of water quantity,thereby facilitating the evaluation of the impact of water pollution on water resource scarcity.China possesses the largest grey water footprint globally.It is crucial to mitigate water resource shortages in China,by measuring China's grey water footprint comprehensively and accurately,analyzing its spatiotemporal dynamic evolution characteristics,and identifying its driving forces precisely.This study comprehensively calculated the grey water footprint of 31 provinces(cities,autonomous regions,excluding Hong Kong,Macao and Taiwan)in China from 2011-2021 across three sectors:agriculture(including planting and animal husbandry),industry and domestic use.ArcGIS spatial mapping,kernel density estimation and standard deviation ellipse methods were used to analyze the temporal and spatial variation characteristics and dynamic evolution trend of grey water footprint.Additionally,the generalized divisia index method was used to explore the driving force of the temporal and spatial dynamic evolution of grey water footprint in China.The results showed that 1)China's grey water footprint and its composition exhibited a declining trend from 2011 to 2021,with the industrial grey water footprint decreasing at a significantly higher rate compared to the agricultural and domestic sectors.Except for Xizang,Qinghai and Xinjiang,the grey water footprint of the rest of the provinces showed a downward trend,and the regional differences in the grey water footprint and its composition of the provinces showed a narrowing trend.2)The grey water footprint of Henan,Shandong,and Sichuan ranked top three in China,while Beijing,Tianjin,Shanghai,and Hainan ranked at the lower end.The standard deviation ellipses of grey water footprint showed a clear"northeast southwest"distribution pattern,with the center of gravity slightly moving westward.The overall spatial distribution of grey water footprint in China showed little change.3)GDP and population were positive driving factors of the grey water footprint in China and various provinces.However,the intensity of grey water footprint,per capita grey water footprint,and technological effects were negative driving factors of these footprints.In addition,GDP exerted the greatest promoting effect on their growth while the intensity of grey water footprint played an essential role in reducing them.The research outcomes could provide valuable scientific insights to formulate targeted measures,aiming at water pollution management across different regions within China.