Articles | Volume 19, issue 14
https://doi.org/10.5194/acp-19-9531-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/acp-19-9531-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Mixing layer transport flux of particulate matter in Beijing, China
Yusi Liu
State Key Laboratory of Severe Weather & Key Laboratory for
Atmospheric Chemistry of China Meteorology Administration, Chinese Academy
of Meteorological Sciences, Beijing 100081, China
Guiqian Tang
CORRESPONDING AUTHOR
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of
Sciences, Beijing 100029, China
Center for Excellence in Urban Atmospheric Environment, Institute of
Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
Libo Zhou
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of
Sciences, Beijing 100029, China
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of
Sciences, Beijing 100029, China
Baoxian Liu
Beijing Municipal Environmental Monitoring Centre, Beijing 100048,
China
Beijing Key Laboratory of Airborne Particulate Matter Monitoring
Technology, Beijing 100048, China
Yunting Li
Beijing Municipal Environmental Monitoring Centre, Beijing 100048,
China
Beijing Key Laboratory of Airborne Particulate Matter Monitoring
Technology, Beijing 100048, China
Shu Liu
Liaoning Eco-environmental Monitoring Center,
Shenyang 110031, China
Yuesi Wang
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of
Sciences, Beijing 100029, China
Center for Excellence in Urban Atmospheric Environment, Institute of
Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
University of Chinese Academy of Sciences, Beijing 100049, China
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28 citations as recorded by crossref.
- Aerosol vertical profile variations with seasons, air mass movements and local PM2.5 levels in three large China cities L. Wang et al. 10.1016/j.atmosenv.2020.117329
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- Investigating the effects of the greenery increase on air temperature, ventilation and cooling energy demand in Melbourne with the Weather Research and Forecasting model and Local Climate Zones S. Falasca et al. 10.1016/j.scitotenv.2024.176016
- Quantify the Contribution of Dust and Anthropogenic Sources to Aerosols in North China by Lidar and Validated with CALIPSO Z. Wang et al. 10.3390/rs13091811
- Simultaneous Extraction of Planetary Boundary-Layer Height and Aerosol Optical Properties from Coherent Doppler Wind Lidar Y. Chen et al. 10.3390/s22093412
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- The use of radon as a tracer for air quality assessment: a case study in Bratislava, Slovakia M. Sultani et al. 10.1007/s10967-023-08969-3
- Vertical Structure of Air Pollutant Transport Flux as Determined by Ground-Based Remote Sensing Observations in Fen-Wei Plain, China X. Ji et al. 10.3390/rs13183664
- Significant Decline in Aerosols in the Mixing Layer in Beijing from 2015 to 2020: Effects of Regional Coordinated Air Pollution Control Z. Zhu et al. 10.2139/ssrn.4045484
- Variation Characteristics and Transportation of Aerosol, NO2, SO2, and HCHO in Coastal Cities of Eastern China: Dalian, Qingdao, and Shanghai X. Li et al. 10.3390/rs13050892
- Boundary Layer Height as Estimated from Radar Wind Profilers in Four Cities in China: Relative Contributions from Aerosols and Surface Features B. Liu et al. 10.3390/rs12101657
- Vertically decreased VOC concentration and reactivity in the planetary boundary layer in winter over the North China Plain S. Wu et al. 10.1016/j.atmosres.2020.104930
- Impact of residual layer transport on air pollution in Beijing, China Y. Liu et al. 10.1016/j.envpol.2020.116325
- Characterization of winter air pollutant gradients near a major highway C. Jeong et al. 10.1016/j.scitotenv.2022.157818
- Profiling of particulate matter transport flux based on dual-wavelength lidar and ensemble learning algorithm R. Li et al. 10.1364/OE.522165
- Unexpected deep mixing layer in the Sichuan Basin, China Y. Liu et al. 10.1016/j.atmosres.2020.105300
- Practices and Empirical Insights from the National Research Program for Key Issues in Air Pollution in Beijing–Tianjin–Hebei and Surrounding Areas H. Li et al. 10.1016/j.eng.2022.08.021
- Assessing Transboundary‐Local Aerosols Interaction Over Complex Terrain Using a Doppler LiDAR Network T. Huang et al. 10.1029/2021GL093238
- Estimation of the vertical distribution of particle matter (PM<sub>2.5</sub>) concentration and its transport flux from lidar measurements based on machine learning algorithms Y. Ma et al. 10.5194/acp-21-17003-2021
- Insights into multidimensional transport flux from vertical observation and numerical simulation in two cities in North China Z. Zhang et al. 10.1016/j.jes.2021.11.018
- Identifying the impacts of warming anomalies in the Arctic region and the Tibetan Plateau on PM2.5 pollution and regional transport over China X. Sun et al. 10.1016/j.atmosres.2023.106966
- Contradictory response of ozone and particulate matter concentrations to boundary layer meteorology Y. Liu & G. Tang 10.1016/j.envpol.2023.123209
- Impact of mixing layer height on air quality in winter B. Murthy et al. 10.1016/j.jastp.2019.105157
- Long-Term Variation in Wintertime Atmospheric Diffusion Conditions Over the Sichuan Basin G. Wang et al. 10.3389/fenvs.2021.763504
- Exploring the Conversion Model from Aerosol Extinction Coefficient to PM1, PM2.5 and PM10 Concentrations H. Shao et al. 10.3390/rs15112742
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Latest update: 10 Dec 2024
Short summary
Weak atmospheric dilution capability is a key factor leading to the frequent occurrence of serious air pollution. This study aims to analyze the mixing layer dilution capability of the atmosphere and to quantify the mixing layer PM2.5 transport flux. Our results showed the main controlling factors during the transition and heavy polluted period in Beijing. The results help in understanding the causes of air pollution and making decisions on prevention and control of air pollution.
Weak atmospheric dilution capability is a key factor leading to the frequent occurrence of...
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