Articles | Volume 9, issue 3
https://doi.org/10.5194/amt-9-1369-2016
© 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/amt-9-1369-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
01 Apr 2016
Research article |
| 01 Apr 2016
Profiling the PM2.5 mass concentration vertical distribution in the boundary layer
Zongming Tao
New Star Institute of Applied Technology, Hefei, Anhui 230031, China
Key Laboratory of Atmospheric Composition and Optical Radiation, Anhui
Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei,
Anhui 230031, China
Key Laboratory of Atmospheric Composition and Optical Radiation, Anhui
Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei,
Anhui 230031, China
Shijun Yang
New Star Institute of Applied Technology, Hefei, Anhui 230031, China
Huihui Shan
New Star Institute of Applied Technology, Hefei, Anhui 230031, China
Xiaomin Ma
New Star Institute of Applied Technology, Hefei, Anhui 230031, China
Hui Zhang
New Star Institute of Applied Technology, Hefei, Anhui 230031, China
Sugui Zhao
New Star Institute of Applied Technology, Hefei, Anhui 230031, China
Dong Liu
Key Laboratory of Atmospheric Composition and Optical Radiation, Anhui
Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei,
Anhui 230031, China
Chenbo Xie
Key Laboratory of Atmospheric Composition and Optical Radiation, Anhui
Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei,
Anhui 230031, China
Yingjian Wang
Key Laboratory of Atmospheric Composition and Optical Radiation, Anhui
Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei,
Anhui 230031, China
University of Science and Technology of China, Hefei, Anhui 230031,
China
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26 citations as recorded by crossref.
- Characteristics of fine particle matter at the top of Shanghai Tower C. Yin et al. 10.5194/acp-23-1329-2023
- Research status and progress of lidar for atmosphere in China D. Huige et al. 10.1002/mop.32874
- Method to Evaluate the Errors of Mie-Lidar in the Transition Zone with a Dual Ccd Laser System Y. Zhao et al. 10.2139/ssrn.4171472
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- Implementation of a violet Scheimpflug lidar system for atmospheric aerosol studies L. Mei et al. 10.1364/OE.26.00A260
- Detection of aerosol mass concentration profiles using single-wavelength Raman Lidar within the planetary boundary layer S. Li et al. 10.1016/j.jqsrt.2021.107833
- Evaluation of vertical and horizontal distribution of particulate matter near an urban roadway using an unmanned aerial vehicle R. Dubey et al. 10.1016/j.scitotenv.2022.155600
- Ten-year global particulate mass concentration derived from space-borne CALIPSO lidar observations X. Ma et al. 10.1016/j.scitotenv.2020.137699
- Vertical Distribution Characteristics of PM2.5 Observed by a Mobile Vehicle Lidar in Tianjin, China in 2016 L. Lyu et al. 10.1007/s13351-018-7068-z
- Exploring the Conversion Model from Aerosol Extinction Coefficient to PM1, PM2.5 and PM10 Concentrations H. Shao et al. 10.3390/rs15112742
- Variabilities in PM2.5 and Black Carbon Surface Concentrations Reproduced by Aerosol Optical Properties Estimated by In-Situ Data, Ground Based Remote Sensing and Modeling A. Damiani et al. 10.3390/rs13163163
- Investigation on the vertical distribution and transportation of PM2.5 in the Beijing-Tianjin-Hebei region based on stereoscopic observation network T. Sun et al. 10.1016/j.atmosenv.2022.119511
- Long-Range Daytime 3D Imaging Lidar With Short Acquisition Time Based on 64×64 Gm-APD Array C. Tan et al. 10.1109/JPHOT.2022.3166807
- Retrieving the Vertical Distribution of PM2.5 Mass Concentration From Lidar Via a Random Forest Model Y. Zhu et al. 10.1109/TGRS.2021.3102059
- Electrochemical gas sensing module combined with Unmanned Aerial Vehicles for air quality monitoring P. Arroyo et al. 10.1016/j.snb.2022.131815
- Using Objective Analysis for the Assimilation of Satellite-Derived Aerosol Products to Improve PM2.5 Predictions over Europe M. Chrit & M. Majdi 10.3390/atmos13050763
- Using unmanned aerial vehicle to investigate the vertical distribution of fine particulate matter D. Wang et al. 10.1007/s13762-019-02449-6
- Vertical profile of particulate matter: A review of techniques and methods R. Dubey et al. 10.1007/s11869-022-01192-1
- Measurement of Fugitive Particulate Matter Emission: Current State and Trends T. Cai & W. Zhou 10.14356/kona.2024008
- Distribution and transport characteristics of fine particulate matter in beijing with mobile lidar measurements from 2015 to 2018 L. Lv et al. 10.1016/j.jes.2021.06.013
- Vertical profile of aerosols in the Himalayas revealed by lidar: New insights into their seasonal/diurnal patterns, sources, and transport Y. Xiang et al. 10.1016/j.envpol.2021.117686
- 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
- Observations and Impacts of Long‐Range Transported Wildfire Smoke on Air Quality Across New York State During July 2021 B. Shrestha et al. 10.1029/2022GL100216
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Saved (preprint)
Latest update: 20 Apr 2024
Short summary
A new measurement technology of PM2.5 mass concentration profile near ground is addressed using a CCD side-scatter lidar and a PM2.5 detector.
The PM2.5 mass concentration profile can be built upon the vertical distribution of the extinction coefficient for aerosol. The PM2.5 is always loading in the planet boundary layer with a complex muti-layer structure. The new method for PM2.5 mass concentration profile is useful for improving our understanding of air quality and atmospheric environment.
A new measurement technology of PM2.5 mass concentration profile near ground is addressed using...
