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First 820 results for ” Yuhang Zhang”

  1. Significant contribution of inland ships to the total NOx emissions along the Yangtze River

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    Zhang, X., van der A, R., Ding, J., Zhang, X., and Yin, Y. | Journal: Atmos. Chem. Phys. | Volume: 23 | Year: 2023 | First page: 5587 | Last page: 5604 | doi: https://doi.org/10.5194/acp-23-5587-2023

    Publication

  2. Relation between total vertical column density and near-surface NO2 based on in situ and Pandora ground-based remote sensing observations

    Nitrogen dioxide (NO2) is a major pollutant that at high concentrations may affect human health. ...

    Zhang, Y., Wei, Y., de Leeuw, G., Liu, O., Chen, Y., Lv, Y., Zhang, Y., and Li, Z. | Journal: Atmos. Chem. Phys | Volume: 25 | Year: 2025 | First page: 10643 | Last page: 10660 | doi: https://doi.org/10.5194/acp-25-10643-2025, 2025

    Publication

  3. Remote Sensing of Air Pollutants in China to Study the Effects of Emission Reduction Policies on Air Quality

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    de Leeuw, G., R. van der A, J. Bai, M. den Hoed, J. Ding, J. Guo, Z. Li, Y. Zhang, C. Fan, K. Qin, S. Sinnathamby, S. Safieddine, C. Varotsos, Y. Xue, Y. Yin, Q. Zhang, X. Zhang, X. Zhang, X. Zhang | Journal: Journal of Atmospheric and Solar-Terrestrial Physics | Volume: 106392 | Year: 2024 | doi: 10.1016/j.jastp.2024.106392.

    Publication

  4. Meteorological and anthropogenic contributions to changes in the Aerosol Optical Depth (AOD) over China during the last decade.

    To reduce air pollution over China, a series of measures to decrease concentrations of aerosols a...

    de Leeuw, G., Kang, H., Fan, C., Li, Z., Fang, C., Zhang, Y. | Journal: Atm. Env.. | Volume: 301 | Year: 2023 | First page: 119676 | doi: https://doi.org/10.1016/j.atmosenv.2023.119676

    Publication

  5. On the Potential of 3D Transdimensional Surface Wave Tomography for Geothermal Prospecting of the Reykjanes Peninsula.

    Seismic travel time tomography using surface waves is an effective tool for three-dimensional cru...

    A. Rahimi Dalkhani, X. Zhang, and C. Weemstra | Journal: Remote Sensing | Volume: 13 | Year: 2021 | doi: https://doi.org/ 10.3390/rs13234929

    Publication