Articles | Volume 16, issue 3
https://doi.org/10.5194/acp-16-1353-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-16-1353-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
08 Feb 2016
Research article |
| 08 Feb 2016
PLAM – a meteorological pollution index for air quality and its applications in fog-haze forecasts in North China
Y. Q. Yang
Institute of Atmospheric Composition/Key Laboratory of Atmospheric Chemistry of China Meteorological Administration (CMA), Chinese Academy of Meteorological Sciences (CAMS), Beijing, 100081, China
J. Z. Wang
CORRESPONDING AUTHOR
Institute of Atmospheric Composition/Key Laboratory of Atmospheric Chemistry of China Meteorological Administration (CMA), Chinese Academy of Meteorological Sciences (CAMS), Beijing, 100081, China
S. L. Gong
CORRESPONDING AUTHOR
Institute of Atmospheric Composition/Key Laboratory of Atmospheric Chemistry of China Meteorological Administration (CMA), Chinese Academy of Meteorological Sciences (CAMS), Beijing, 100081, China
X. Y. Zhang
Institute of Atmospheric Composition/Key Laboratory of Atmospheric Chemistry of China Meteorological Administration (CMA), Chinese Academy of Meteorological Sciences (CAMS), Beijing, 100081, China
Institute of Atmospheric Composition/Key Laboratory of Atmospheric Chemistry of China Meteorological Administration (CMA), Chinese Academy of Meteorological Sciences (CAMS), Beijing, 100081, China
Y. Q. Wang
Institute of Atmospheric Composition/Key Laboratory of Atmospheric Chemistry of China Meteorological Administration (CMA), Chinese Academy of Meteorological Sciences (CAMS), Beijing, 100081, China
J. Wang
National Meteorological Information Center, CMA, Beijing, 100081, China
D. Li
National Climate Center, CMA, Beijing, 100081, China
J. P. Guo
Institute of Atmospheric Composition/Key Laboratory of Atmospheric Chemistry of China Meteorological Administration (CMA), Chinese Academy of Meteorological Sciences (CAMS), Beijing, 100081, China
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28 citations as recorded by crossref.
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- Temporal and Spatial Distribution of Ozone and Its Influencing Factors in China Y. Zhou & H. Liu 10.3390/su151310042
- Aerosol and boundary-layer interactions and impact on air quality Z. Li et al. 10.1093/nsr/nwx117
- Contributions of inter-city and regional transport to PM2.5 concentrations in the Beijing-Tianjin-Hebei region and its implications on regional joint air pollution control X. Chang et al. 10.1016/j.scitotenv.2018.12.474
- Air pollution in China: Status and spatiotemporal variations C. Song et al. 10.1016/j.envpol.2017.04.075
- Application of stable index and transport index for regional air pollution over Twain-Hu Basin Y. Yue et al. 10.3389/fenvs.2022.1118316
- A Study of the Socioeconomic Forces Driving Air Pollution Based on a DPSIR Model in Henan Province, China X. Chuai et al. 10.3390/su12010252
- An Air Stagnation Index to Qualify Extreme Haze Events in Northern China J. Feng et al. 10.1175/JAS-D-17-0354.1
- Effect of the “coal to gas” project on atmospheric NOX during the heating period at a suburban site between Beijing and Tianjin S. Zhao et al. 10.1016/j.atmosres.2020.104977
- Amplified transboundary transport of haze by aerosol–boundary layer interaction in China X. Huang et al. 10.1038/s41561-020-0583-4
- Response of winter fine particulate matter concentrations to emission and meteorology changes in North China M. Gao et al. 10.5194/acp-16-11837-2016
- A fast forecasting method for PM2.5 concentrations based on footprint modeling and emission optimization M. Yu et al. 10.1016/j.atmosenv.2019.117013
- Stable and transport indices applied to winter air pollution over the Yangtze River Delta, China X. Liu et al. 10.1016/j.envpol.2020.115954
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- Vital contribution of residential emissions to atmospheric fine particles (PM2.5) during the severe wintertime pollution episodes in Western China J. Yang et al. 10.1016/j.envpol.2018.11.027
- Climatology of the meteorological factors associated with haze events over northern China and their potential response to the Quasi-Biannual Oscillation J. Liang & Y. Tang 10.1007/s13351-017-6412-z
- The modified ASHRAE model based on the mechanism of multi-parameter coupling W. Yao et al. 10.1016/j.enconman.2020.112642
- Heavy pollution episodes, transport pathways and potential sources of PM2.5 during the winter of 2013 in Chengdu (China) T. Liao et al. 10.1016/j.scitotenv.2017.01.160
24 citations as recorded by crossref.
- Formation, features and controlling strategies of severe haze-fog pollutions in China H. Fu & J. Chen 10.1016/j.scitotenv.2016.10.201
- Multi‐Index Attribution of Extreme Winter Air Quality in Beijing, China C. Callahan et al. 10.1029/2018JD029738
- Capturing synoptic-scale variations in surface aerosol pollution using deep learning with meteorological data J. Feng et al. 10.5194/acp-23-375-2023
- Analysis of extinction properties as a function of relative humidity using a <i>κ</i>-EC-Mie model in Nanjing Z. Zhang et al. 10.5194/acp-17-4147-2017
- Important meteorological variables for statistical long-term air quality prediction in eastern China L. Zhang et al. 10.1007/s00704-017-2245-z
- Air stagnation in China (1985–2014): climatological mean features and trends Q. Huang et al. 10.5194/acp-17-7793-2017
- Singular value decomposition analysis of spatial relationships between monthly weather and air pollution index in China L. Zhang et al. 10.1007/s00477-017-1491-z
- On the Relationship Between Aerosol and Boundary Layer Height in Summer in China Under Different Thermodynamic Conditions M. Lou et al. 10.1029/2019EA000620
- Relationship between meteorological conditions and atmospheric PM2.5 in uranium mining areas and source analysis P. Wei et al. 10.1007/s10967-024-09380-2
- Temporal and Spatial Distribution of Ozone and Its Influencing Factors in China Y. Zhou & H. Liu 10.3390/su151310042
- Aerosol and boundary-layer interactions and impact on air quality Z. Li et al. 10.1093/nsr/nwx117
- Contributions of inter-city and regional transport to PM2.5 concentrations in the Beijing-Tianjin-Hebei region and its implications on regional joint air pollution control X. Chang et al. 10.1016/j.scitotenv.2018.12.474
- Air pollution in China: Status and spatiotemporal variations C. Song et al. 10.1016/j.envpol.2017.04.075
- Application of stable index and transport index for regional air pollution over Twain-Hu Basin Y. Yue et al. 10.3389/fenvs.2022.1118316
- A Study of the Socioeconomic Forces Driving Air Pollution Based on a DPSIR Model in Henan Province, China X. Chuai et al. 10.3390/su12010252
- An Air Stagnation Index to Qualify Extreme Haze Events in Northern China J. Feng et al. 10.1175/JAS-D-17-0354.1
- Effect of the “coal to gas” project on atmospheric NOX during the heating period at a suburban site between Beijing and Tianjin S. Zhao et al. 10.1016/j.atmosres.2020.104977
- Amplified transboundary transport of haze by aerosol–boundary layer interaction in China X. Huang et al. 10.1038/s41561-020-0583-4
- Response of winter fine particulate matter concentrations to emission and meteorology changes in North China M. Gao et al. 10.5194/acp-16-11837-2016
- A fast forecasting method for PM2.5 concentrations based on footprint modeling and emission optimization M. Yu et al. 10.1016/j.atmosenv.2019.117013
- Stable and transport indices applied to winter air pollution over the Yangtze River Delta, China X. Liu et al. 10.1016/j.envpol.2020.115954
- Meteorology-driven variability of air pollution (PM<sub>1</sub>) revealed with explainable machine learning R. Stirnberg et al. 10.5194/acp-21-3919-2021
- New Insights on the Formation of Nucleation Mode Particles in a Coastal City Based on a Machine Learning Approach C. Yang et al. 10.1021/acs.est.3c07042
- Contribution distinguish between emission reduction and meteorological conditions to “Blue Sky” Y. Zhang et al. 10.1016/j.atmosenv.2018.07.015
4 citations as recorded by crossref.
- Vital contribution of residential emissions to atmospheric fine particles (PM2.5) during the severe wintertime pollution episodes in Western China J. Yang et al. 10.1016/j.envpol.2018.11.027
- Climatology of the meteorological factors associated with haze events over northern China and their potential response to the Quasi-Biannual Oscillation J. Liang & Y. Tang 10.1007/s13351-017-6412-z
- The modified ASHRAE model based on the mechanism of multi-parameter coupling W. Yao et al. 10.1016/j.enconman.2020.112642
- Heavy pollution episodes, transport pathways and potential sources of PM2.5 during the winter of 2013 in Chengdu (China) T. Liao et al. 10.1016/j.scitotenv.2017.01.160
Saved (preprint)
Latest update: 23 Nov 2024
Short summary
A new model, PLAM/h, has been developed and used in near-real-time air quality forecasts by considering both meteorology and pollutant emissions, based on the two-dimensional probability density function diagnosis model for emissions. The results show that combining the influence of regular meteorological conditions and emission factors together in the PLAM/h parameterization scheme is very effective in improving the forecasting ability for fog-haze weather in North China.
A new model, PLAM/h, has been developed and used in near-real-time air quality forecasts by...
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