These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

144 related articles for article (PubMed ID: 36947510)

  • 1. 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]  

  • 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. Dynamics of the water environment in a water quantity-quality-soil model of China's Yellow River basin: imbalance and driving factors.
    Yang L; Xu C; Zhu H; Fu T
    Environ Monit Assess; 2023 Feb; 195(3):371. PubMed ID: 36754889
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. 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]  

  • 6. 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]  

  • 7. 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]  

  • 8. Monitoring grey water footprint and associated environmental controls in agricultural watershed.
    Gao X; Qiu L; Huang X; Wu M; Cao X
    Environ Sci Pollut Res Int; 2024 Feb; 31(7):11334-11348. PubMed ID: 38217819
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. 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]  

  • 11. Driving factors of spatial-temporal difference in China's transportation sector carbon productivity: an empirical analysis based on Geodetector method.
    Zhu C; Dong S; Sun Y; Wang M; Dong P; Xu L
    Environ Sci Pollut Res Int; 2023 Mar; 30(11):30656-30671. PubMed ID: 36437363
    [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. Spatial Differentiation and Influencing Factors of Water Pollution-Intensive Industries in the Yellow River Basin, China.
    Du H; Ji X; Chuai X
    Int J Environ Res Public Health; 2022 Jan; 19(1):. PubMed ID: 35010762
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Understanding China's industrialization driven water pollution stress in 2002-2015-A multi-pollutant based net gray water footprint analysis.
    Yang Z; Li B; Xia R; Ma S; Jia R; Ma C; Wang L; Chen Y; Bin L
    J Environ Manage; 2022 May; 310():114735. PubMed ID: 35202950
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Regional differences and dynamic evolution of agricultural water resources utilization efficiency in China.
    Zeng Q; Cao S; H E J
    PLoS One; 2023; 18(9):e0282051. PubMed ID: 37768897
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Industrial ecological efficiency of cities in the Yellow River Basin in the background of China's economic transformation: spatial-temporal characteristics and influencing factors.
    Song C; Yin G; Lu Z; Chen Y
    Environ Sci Pollut Res Int; 2022 Jan; 29(3):4334-4349. PubMed ID: 34403058
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Spatial Association Network Evolution and Variance Decomposition of Economic Sustainability Development Efficiency in China.
    Fang X; Cao Y
    Int J Environ Res Public Health; 2023 Feb; 20(4):. PubMed ID: 36833661
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Spatial and Temporal Evolution Analysis of Industrial Green Technology Innovation Efficiency in the Yangtze River Economic Belt.
    Yao M; Duan J; Wang Q
    Int J Environ Res Public Health; 2022 May; 19(11):. PubMed ID: 35681945
    [TBL] [Abstract][Full Text] [Related]  

  • 20. North-south regional differential decomposition and spatiotemporal dynamic evolution of China's industrial green total factor productivity.
    Wang S; Xiao S; Lu X; Zhang Q
    Environ Sci Pollut Res Int; 2023 Mar; 30(13):37706-37725. PubMed ID: 36574115
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.