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 *

112 related articles for article (PubMed ID: 39017878)

  • 1. Carbon emissions from road transportation in China: from past to the future.
    Teng W; Zhang Q; Guo Z; Ying G; Zhao J
    Environ Sci Pollut Res Int; 2024 Jul; 31(35):48048-48061. PubMed ID: 39017878
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Co-drivers of Air Pollutant and CO
    Qi Z; Zheng Y; Feng Y; Chen C; Lei Y; Xue W; Xu Y; Liu Z; Ni X; Zhang Q; Yan G; Wang J
    Environ Sci Technol; 2023 Dec; 57(50):20992-21004. PubMed ID: 38055305
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Temporal and spatial variation in recent vehicular emission inventories in China based on dynamic emission factors.
    Cai H; Xie S
    J Air Waste Manag Assoc; 2013 Mar; 63(3):310-26. PubMed ID: 23556241
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Mitigation potential of black carbon emissions from on-road vehicles in China.
    Zhang S; Wu X; Zheng X; Wen Y; Wu Y
    Environ Pollut; 2021 Jun; 278():116746. PubMed ID: 33676196
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Data mining and spatio-temporal characteristics of urban road traffic emissions: A case study in Shijiazhuang, China.
    Ren L; Guo X; Wu J; Singh AK
    PLoS One; 2023; 18(12):e0295664. PubMed ID: 38091279
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Carbon emissions tax policy of urban road traffic and its application in Panjin, China.
    Yang L; Hu X; Fang L
    PLoS One; 2018; 13(5):e0196762. PubMed ID: 29738580
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Carbon peak forecast and low carbon policy choice of transportation industry in China: scenario prediction based on STIRPAT model.
    Li C; Zhang Z; Wang L
    Environ Sci Pollut Res Int; 2023 May; 30(22):63250-63271. PubMed ID: 36961638
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A methodology for calculating transport emissions in cities with limited traffic data: Case study of diesel particulates and black carbon emissions in Murmansk.
    Kholod N; Evans M; Gusev E; Yu S; Malyshev V; Tretyakova S; Barinov A
    Sci Total Environ; 2016 Mar; 547():305-313. PubMed ID: 26789368
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Spatial Heterogeneity and Scale Effects of Transportation Carbon Emission-Influencing Factors-An Empirical Analysis Based on 286 Cities in China.
    Wang T; Zhang K; Liu K; Ding K; Qin W
    Int J Environ Res Public Health; 2023 Jan; 20(3):. PubMed ID: 36767675
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Comparative analysis of the USA's Washington Ferries and road transport carbon emissions using the Trozzi and Vaccaro and Greatest Integer functions.
    Mersin K; Yıldırım M; Alola AA
    Environ Sci Pollut Res Int; 2023 Aug; 30(36):85113-85124. PubMed ID: 37378729
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Impacts of transportation sector emissions on future U.S. air quality in a changing climate. Part I: Projected emissions, simulation design, and model evaluation.
    Campbell P; Zhang Y; Yan F; Lu Z; Streets D
    Environ Pollut; 2018 Jul; 238():903-917. PubMed ID: 29677550
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Development of a road transport emission inventory for Greece and the Greater Athens Area: effects of important parameters.
    Fameli KM; Assimakopoulos VD
    Sci Total Environ; 2015 Feb; 505():770-86. PubMed ID: 25461080
    [TBL] [Abstract][Full Text] [Related]  

  • 13. The Evolution of the Spatial Association Effect of Carbon Emissions in Transportation: A Social Network Perspective.
    Ma F; Wang Y; Yuen KF; Wang W; Li X; Liang Y
    Int J Environ Res Public Health; 2019 Jun; 16(12):. PubMed ID: 31216689
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Scenario analysis of energy consumption and related emissions in the transportation industry-a case study of Shaanxi Province.
    Zhang Y; Kong Y; Quan J; Wang Q; Zhang Y; Zhang Y
    Environ Sci Pollut Res Int; 2024 Apr; 31(17):26052-26075. PubMed ID: 38491239
    [TBL] [Abstract][Full Text] [Related]  

  • 15. [Forecasting of Emission Co-reduction of Greenhouse Gases and Pollutants for the Road Transport Sector in Lanzhou Based on the LEAP Model].
    Pang K; Zhang Q; Ma CY; Zhu LQ; Chen HR; Kong XR; Pan F; Yang H
    Huan Jing Ke Xue; 2022 Jul; 43(7):3386-3395. PubMed ID: 35791524
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Assessment of vehicle emission programs in China during 1998-2013: Achievement, challenges and implications.
    Wu X; Wu Y; Zhang S; Liu H; Fu L; Hao J
    Environ Pollut; 2016 Jul; 214():556-567. PubMed ID: 27131815
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Air pollutant emissions from on-road vehicles in China, 1999-2011.
    Lang J; Cheng S; Zhou Y; Zhang Y; Wang G
    Sci Total Environ; 2014 Oct; 496():1-10. PubMed ID: 25051424
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Fine-grained vehicle emission management using intelligent transportation system data.
    Zhang S; Niu T; Wu Y; Zhang KM; Wallington TJ; Xie Q; Wu X; Xu H
    Environ Pollut; 2018 Oct; 241():1027-1037. PubMed ID: 30029310
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Impact assessment of crude oil mix, electricity generation mix, and vehicle technology on road freight emission reduction in China.
    Jiang Z; Yan R; Gong Z; Guan G
    Environ Sci Pollut Res Int; 2023 Feb; 30(10):27763-27781. PubMed ID: 36385332
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Comparing emission rates derived from a model with those estimated using a plume-based approach and quantifying the contribution of vehicle classes to on-road emissions and air quality.
    Xu J; Wang J; Hilker N; Fallah-Shorshani M; Saleh M; Tu R; Wang A; Minet L; Stogios C; Evans G; Hatzopoulou M
    J Air Waste Manag Assoc; 2018 Nov; 68(11):1159-1174. PubMed ID: 29870681
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.