Articles | Volume 21, issue 4
https://doi.org/10.5194/acp-21-2725-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-21-2725-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Recommendations on benchmarks for numerical air quality model applications in China – Part 1: PM2.5 and chemical species
Ling Huang
School of Environmental and Chemical Engineering, Shanghai University,
Shanghai, 200444, China
Yonghui Zhu
School of Environmental and Chemical Engineering, Shanghai University,
Shanghai, 200444, China
Hehe Zhai
School of Environmental and Chemical Engineering, Shanghai University,
Shanghai, 200444, China
Shuhui Xue
School of Environmental and Chemical Engineering, Shanghai University,
Shanghai, 200444, China
Tianyi Zhu
School of Environmental and Chemical Engineering, Shanghai University,
Shanghai, 200444, China
Yun Shao
School of Environmental and Chemical Engineering, Shanghai University,
Shanghai, 200444, China
Ziyi Liu
School of Environmental and Chemical Engineering, Shanghai University,
Shanghai, 200444, China
Chris Emery
Ramboll, Novato, CA 94945, USA
Greg Yarwood
Ramboll, Novato, CA 94945, USA
Yangjun Wang
School of Environmental and Chemical Engineering, Shanghai University,
Shanghai, 200444, China
Joshua Fu
Department of Civil and Environmental Engineering, University of
Tennessee, Knoxville, TN 37996, USA
Kun Zhang
School of Environmental and Chemical Engineering, Shanghai University,
Shanghai, 200444, China
School of Environmental and Chemical Engineering, Shanghai University,
Shanghai, 200444, China
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- Representing Ozone Formation from Volatile Chemical Products (VCP) in Carbon Bond (CB) Chemical Mechanisms G. Yarwood & K. Tuite 10.3390/atmos15020178
- Assessment of the effects of straw burning bans in China: Emissions, air quality, and health impacts L. Huang et al. 10.1016/j.scitotenv.2021.147935
- Adjustment of Foreign Emission Impacts on Provincial PM2.5 Concentrations in South Korea based on Upwind Observations and Estimation of Domestic Emission Uncertainty M. Bae & S. Kim 10.5572/KOSAE.2022.38.4.624
- Characterization of winter PM2.5 source contributions and impacts of meteorological conditions and anthropogenic emission changes in the Sichuan Basin, 2002–2020 Y. Xian et al. 10.1016/j.scitotenv.2024.174557
- An improved framework for efficiently modeling organic aerosol (OA) considering primary OA evaporation and secondary OA formation from VOCs, IVOCs, and SVOCs L. Huang et al. 10.1039/D4EA00060A
- Long-term variability in black carbon emissions constrained by gap-filled absorption aerosol optical depth and associated premature mortality in China W. Zhao et al. 10.5194/acp-24-6593-2024
Latest update: 11 Dec 2024
Short summary
Numerical air quality models (AQMs) are being applied extensively to address diverse scientific and regulatory compliance associated with deteriorating air quality in China. For any AQM applications, model performance evaluation is a critical step that guarantees the robustness and reliability of the baseline modeling results and subsequent applications. We provided benchmarks for model performance evaluation of AQM applications in China to demonstrate model robustness.
Numerical air quality models (AQMs) are being applied extensively to address diverse scientific...
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