Peng Wang

Affiliations: 
2012-2018 Civil Engineering Texas A & M University, College Station, TX, United States 
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"Peng Wang"

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Qi Ying grad student 2012-2018 Texas A & M
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Chen J, Zhu S, Wang P, et al. (2024) Predicting particulate matter, nitrogen dioxide, and ozone across Great Britain with high spatiotemporal resolution based on random forest models. The Science of the Total Environment. 926: 171831
Wu L, Wang P, Zhang Q, et al. (2024) Dominant contribution of combustion-related ammonium during haze pollution in Beijing. Science Bulletin
Wang Y, Liang L, Xu W, et al. (2023) Influence of meteorological factors on open biomass burning at a background site in Northeast China. Journal of Environmental Sciences (China). 138: 1-9
Li Y, Lei L, Sun J, et al. (2023) Significant Reductions in Secondary Aerosols after the Three-Year Action Plan in Beijing Summer. Environmental Science & Technology. 57: 15945-15955
He YS, Wu ZD, Wang GH, et al. (2023) Impact of short-term exposure to ambient air pollution on osteoarthritis: a multi-city time-series analysis in Central-Eastern China. Environmental Science and Pollution Research International
Li X, Wang P, Wang W, et al. (2023) Mortality burden due to ambient nitrogen dioxide pollution in China: Application of high-resolution models. Environment International. 176: 107967
Wang P, Hu Q, Xie W, et al. (2023) Big data-driven carbon emission traceability list and characteristics of ships in maritime transportation-a case study of Tianjin Port. Environmental Science and Pollution Research International
Wang S, Wang P, Zhang R, et al. (2023) Estimating particulate matter concentrations and meteorological contributions in China during 2000-2020. Chemosphere. 330: 138742
Su F, Xu Q, Yin S, et al. (2023) Contributions of local emissions and regional background to summertime ozone in central China. Journal of Environmental Management. 338: 117778
Wang S, Wang P, Qi Q, et al. (2023) Improved estimation of particulate matter in China based on multisource data fusion. The Science of the Total Environment. 161552
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