Articles | Volume 19, issue 20
https://doi.org/10.5194/acp-19-12857-2019
© Author(s) 2019. 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-19-12857-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
16 Oct 2019
Research article |
| 16 Oct 2019
| 16 Oct 2019
Aerosol vertical mass flux measurements during heavy aerosol pollution episodes at a rural site and an urban site in the Beijing area of the North China Plain
School of Earth and Space Sciences, University of Science and
Technology of China, Anhui 230026, China
Xiaoye Zhang
CORRESPONDING AUTHOR
State Key Laboratory of Severe Weather & Key Laboratory of
Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences,
Beijing 100081, China
Center for Excellence in Regional Atmospheric Environment, IUE, CAS,
Xiamen 361021, China
Hao Liu
School of Earth and Space Sciences, University of Science and
Technology of China, Anhui 230026, China
Yu Gui
School of Earth and Space Sciences, University of Science and
Technology of China, Anhui 230026, China
Bohao Shao
School of Earth and Space Sciences, University of Science and
Technology of China, Anhui 230026, China
Xiaoping Tao
School of Physical Sciences, University of Science and Technology of
China, Anhui 230026, China
Yaqiang Wang
State Key Laboratory of Severe Weather & Key Laboratory of
Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences,
Beijing 100081, China
Junting Zhong
State Key Laboratory of Severe Weather & Key Laboratory of
Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences,
Beijing 100081, China
Yubin Li
School of Geography and Remote Sensing, Nanjing University of
Information Science and Technology, Nanjing 210044, China
Zhiqiu Gao
School of Geography and Remote Sensing, Nanjing University of
Information Science and Technology, Nanjing 210044, China
Viewed
Total article views: 2,848 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 10 Apr 2019)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,048 | 726 | 74 | 2,848 | 56 | 57 |
- HTML: 2,048
- PDF: 726
- XML: 74
- Total: 2,848
- BibTeX: 56
- EndNote: 57
Total article views: 2,290 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 16 Oct 2019)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,753 | 471 | 66 | 2,290 | 50 | 50 |
- HTML: 1,753
- PDF: 471
- XML: 66
- Total: 2,290
- BibTeX: 50
- EndNote: 50
Total article views: 558 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 10 Apr 2019)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 295 | 255 | 8 | 558 | 6 | 7 |
- HTML: 295
- PDF: 255
- XML: 8
- Total: 558
- BibTeX: 6
- EndNote: 7
Viewed (geographical distribution)
Total article views: 2,848 (including HTML, PDF, and XML)
Thereof 2,730 with geography defined
and 118 with unknown origin.
Total article views: 2,290 (including HTML, PDF, and XML)
Thereof 2,202 with geography defined
and 88 with unknown origin.
Total article views: 558 (including HTML, PDF, and XML)
Thereof 528 with geography defined
and 30 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
12 citations as recorded by crossref.
- Quantitative verification of the turbulence barrier effect during heavy haze pollution events Y. Ren et al. 10.1088/2515-7620/ac6381
- Temporal and spatial characteristics of turbulent transfer and diffusion coefficient of PM2.5 Y. Ren et al. 10.1016/j.scitotenv.2021.146804
- Application of Turbulent Diffusion Term of Aerosols in Mesoscale Model W. Jia et al. 10.1029/2021GL093199
- Turbulent transport dissimilarities of particles, momentum, and heat W. Jia et al. 10.1016/j.envres.2022.113111
- Comparison of the imaginary parts of the atmospheric refractive index structure parameter and aerosol flux based on different measurement methods R. Yuan et al. 10.5194/amt-17-2089-2024
- Classification and estimation of unfavourable boundary-layer meteorological conditions in Beijing for PM2.5 concentration changes using vertical meteorological profiles T. Zhang et al. 10.1016/j.atmosres.2023.106902
- Effect of urban underlying surface on PM2.5 vertical distribution based on UAV in Xi’an, China K. Xin et al. 10.1007/s10661-021-09044-8
- Tracing Atmospheric Anthropogenic Black Carbon and Its Potential Radiative Response Over Pan‐Third Pole Region: A Synoptic‐Scale Analysis Using WRF‐Chem M. Rai et al. 10.1029/2021JD035772
- Elucidating roles of near-surface vertical layer structure in different stages of PM2.5 pollution episodes over urban Beijing during 2004–2016 S. Fan et al. 10.1016/j.atmosenv.2020.118157
- A method for estimating the ratio of aerosol mass concentration to the imaginary part of the atmospheric complex refractive index and its application R. Yuan et al. 10.1016/j.atmosres.2021.105848
- Lidar vertical observation network and data assimilation reveal key processes driving the 3-D dynamic evolution of PM<sub>2.5</sub> concentrations over the North China Plain Y. Xiang et al. 10.5194/acp-21-7023-2021
- Equity in Public Facilities Provision in an Urban Area: A Spatial Analysis of Rajshahi City Corporation A. Chakrabarty & M. Rahman 10.11648/j.urp.20240903.14
12 citations as recorded by crossref.
- Quantitative verification of the turbulence barrier effect during heavy haze pollution events Y. Ren et al. 10.1088/2515-7620/ac6381
- Temporal and spatial characteristics of turbulent transfer and diffusion coefficient of PM2.5 Y. Ren et al. 10.1016/j.scitotenv.2021.146804
- Application of Turbulent Diffusion Term of Aerosols in Mesoscale Model W. Jia et al. 10.1029/2021GL093199
- Turbulent transport dissimilarities of particles, momentum, and heat W. Jia et al. 10.1016/j.envres.2022.113111
- Comparison of the imaginary parts of the atmospheric refractive index structure parameter and aerosol flux based on different measurement methods R. Yuan et al. 10.5194/amt-17-2089-2024
- Classification and estimation of unfavourable boundary-layer meteorological conditions in Beijing for PM2.5 concentration changes using vertical meteorological profiles T. Zhang et al. 10.1016/j.atmosres.2023.106902
- Effect of urban underlying surface on PM2.5 vertical distribution based on UAV in Xi’an, China K. Xin et al. 10.1007/s10661-021-09044-8
- Tracing Atmospheric Anthropogenic Black Carbon and Its Potential Radiative Response Over Pan‐Third Pole Region: A Synoptic‐Scale Analysis Using WRF‐Chem M. Rai et al. 10.1029/2021JD035772
- Elucidating roles of near-surface vertical layer structure in different stages of PM2.5 pollution episodes over urban Beijing during 2004–2016 S. Fan et al. 10.1016/j.atmosenv.2020.118157
- A method for estimating the ratio of aerosol mass concentration to the imaginary part of the atmospheric complex refractive index and its application R. Yuan et al. 10.1016/j.atmosres.2021.105848
- Lidar vertical observation network and data assimilation reveal key processes driving the 3-D dynamic evolution of PM<sub>2.5</sub> concentrations over the North China Plain Y. Xiang et al. 10.5194/acp-21-7023-2021
- Equity in Public Facilities Provision in an Urban Area: A Spatial Analysis of Rajshahi City Corporation A. Chakrabarty & M. Rahman 10.11648/j.urp.20240903.14
Latest update: 20 Nov 2024
Short summary
To understand the contribution of ground emission during heavy pollution in Beijing, Tianjin and Hebei, aerosol fluxes were estimated in Beijing and Gucheng areas. The results show that in the three stages of a heavy pollution process (transport, accumulative and removal stages: TS, AS and RS), the ground emissions in the TS and RS stages are stronger, while the ground discharge in the AS stage is weak. The weakened mass flux indicates that the already weak turbulence would be further weakened.
To understand the contribution of ground emission during heavy pollution in Beijing, Tianjin and...
Altmetrics
Final-revised paper
Preprint