142 related articles for article (PubMed ID: 34454151)
1. Measurement and driving factors of grey water footprint efficiency in Yangtze River Basin.
Fu T; Xu C; Yang L; Hou S; Xia Q
Sci Total Environ; 2022 Jan; 802():149587. PubMed ID: 34454151
[TBL] [Abstract][Full Text] [Related]
2. Spatial-temporal evolution and driving factors of grey water footprint efficiency in the Yangtze River Economic Belt.
Xu C; Liu Y; Fu T
Sci Total Environ; 2022 Oct; 844():156930. PubMed ID: 35753457
[TBL] [Abstract][Full Text] [Related]
3. Dynamic decomposition and regional differences of urban emergy ecological footprint in the Yangtze River Delta.
Pan X; Guo S
J Environ Manage; 2023 Jan; 326(Pt B):116698. PubMed ID: 36413957
[TBL] [Abstract][Full Text] [Related]
4. Study on Regional Differences and Convergence of Green Development Efficiency of the Chemical Industry in the Yangtze River Economic Belt Based on Grey Water Footprint.
Xiang Y; Shao W; Wang S; Zhang Y; Zhang Y
Int J Environ Res Public Health; 2022 Feb; 19(3):. PubMed ID: 35162727
[TBL] [Abstract][Full Text] [Related]
5. Variation and internal-external driving forces of grey water footprint efficiency in China's Yellow River Basin.
Li Y; Liu Y; Yang L; Fu T
PLoS One; 2023; 18(3):e0283199. PubMed ID: 36947510
[TBL] [Abstract][Full Text] [Related]
6. Grey water footprint evaluation and driving force analysis of eight economic regions in China.
Cui S; Dong H; Wilson J
Environ Sci Pollut Res Int; 2020 Jun; 27(16):20380-20391. PubMed ID: 32239415
[TBL] [Abstract][Full Text] [Related]
7. Forecasting the Amount of Waste-Sewage Water Discharged into the Yangtze River Basin Based on the Optimal Fractional Order Grey Model.
Li S; Meng W; Xie Y
Int J Environ Res Public Health; 2017 Dec; 15(1):. PubMed ID: 29295517
[TBL] [Abstract][Full Text] [Related]
8. The gap of water supply-Demand and its driving factors: From water footprint view in Huaihe River Basin.
An M; Fan L; Huang J; Yang W; Wu H; Wang X; Khanal R
PLoS One; 2021; 16(3):e0247604. PubMed ID: 33661966
[TBL] [Abstract][Full Text] [Related]
9. Carbon footprint of cotton production in China: Composition, spatiotemporal changes and driving factors.
Huang W; Wu F; Han W; Li Q; Han Y; Wang G; Feng L; Li X; Yang B; Lei Y; Fan Z; Xiong S; Xin M; Li Y; Wang Z
Sci Total Environ; 2022 May; 821():153407. PubMed ID: 35090924
[TBL] [Abstract][Full Text] [Related]
10. [Spatial Distribution Pattern and Influencing Factors of Industrial Pollution Emissions in Yangtze River Economic Belt].
Li YY; Liu LP; Liu YY
Huan Jing Ke Xue; 2021 Aug; 42(8):3820-3828. PubMed ID: 34309268
[TBL] [Abstract][Full Text] [Related]
11. Spatial-temporal variation and driving factors decomposition of agricultural grey water footprint in China.
Kong Y; He W; Zhang Z; Shen J; Yuan L; Gao X; An M; Ramsey TS
J Environ Manage; 2022 Sep; 318():115601. PubMed ID: 35949098
[TBL] [Abstract][Full Text] [Related]
12. Spatiotemporal evolution characteristics and influencing factors of the crop water use efficiency in watersheds based on the water footprint.
Yang Y; Gao H
Environ Monit Assess; 2024 Jun; 196(7):620. PubMed ID: 38879715
[TBL] [Abstract][Full Text] [Related]
13. History and future of water footprint in the Yangtze River Delta of China.
Zhang C; Chen J; Chu Z; Zhang P; Xu J
Environ Sci Pollut Res Int; 2024 Apr; 31(17):25508-25523. PubMed ID: 38472581
[TBL] [Abstract][Full Text] [Related]
14. Mapping multiple water pollutants across China using the grey water footprint.
Feng H; Sun F; Liu Y; Zeng P; Deng L; Che Y
Sci Total Environ; 2021 Sep; 785():147255. PubMed ID: 33933768
[TBL] [Abstract][Full Text] [Related]
15. Incorrect method for calculation of grey water footprint in several articles.
Ansorge L
Sci Total Environ; 2022 Jun; 824():152048. PubMed ID: 34856266
[TBL] [Abstract][Full Text] [Related]
16. Evaluation and Prediction of the Ecological Footprint and Ecological Carrying Capacity for Yangtze River Urban Agglomeration Based on the Grey Model.
Peng B; Wang Y; Elahi E; Wei G
Int J Environ Res Public Health; 2018 Nov; 15(11):. PubMed ID: 30428569
[TBL] [Abstract][Full Text] [Related]
17. China's provincial grey water footprint characteristic and driving forces.
Zhang L; Dong H; Geng Y; Francisco MJ
Sci Total Environ; 2019 Aug; 677():427-435. PubMed ID: 31059885
[TBL] [Abstract][Full Text] [Related]
18. Assessing Transboundary Impacts of Energy-Driven Water Footprint on Scarce Water Resources in China: Catchments under Stress and Mitigation Options.
Liu X; Du H; Zhang X; Feng K; Zhao X; Zhong H; Zhang N; Chen Z
Environ Sci Technol; 2023 Jul; 57(26):9639-9652. PubMed ID: 37344372
[TBL] [Abstract][Full Text] [Related]
19. Evaluating the recycling efficiency of industrial water use systems in China: Basin differences and factor analysis.
Zhuang Y; Zhang L; Chiu YH; Guo Z; Chu Y; Du X
J Environ Manage; 2022 Aug; 316():115313. PubMed ID: 35658260
[TBL] [Abstract][Full Text] [Related]
20. Evaluating the anthropogenic nitrogen emissions to water using a hybrid approach in a city cluster: Insights into historical evolution, attribution, and mitigation potential.
Zhang Z; Deng C; Dong L; Zou T; Yang Q; Wu J; Li H
Sci Total Environ; 2023 Jan; 855():158500. PubMed ID: 36089012
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]