Articles | Volume 12, issue 6
https://doi.org/10.5194/amt-12-3303-2019
© 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/amt-12-3303-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
21 Jun 2019
Research article |
| 21 Jun 2019
| 21 Jun 2019
Relationship analysis of PM2.5 and boundary layer height using an aerosol and turbulence detection lidar
Chong Wang
CAS Key Laboratory of Geospace Environment, University of Science and
Technology of China, Hefei, 230026, China
Glory China Institute of Lidar Technology, Shanghai, 201315, China
Mingjiao Jia
Glory China Institute of Lidar Technology, Shanghai, 201315, China
CAS Key Laboratory of Geospace Environment, University of Science and
Technology of China, Hefei, 230026, China
Glory China Institute of Lidar Technology, Shanghai, 201315, China
Yunbin Wu
CAS Key Laboratory of Geospace Environment, University of Science and
Technology of China, Hefei, 230026, China
Tianwen Wei
CAS Key Laboratory of Geospace Environment, University of Science and
Technology of China, Hefei, 230026, China
Xiang Shang
CAS Key Laboratory of Geospace Environment, University of Science and
Technology of China, Hefei, 230026, China
Chengyun Yang
CAS Key Laboratory of Geospace Environment, University of Science and
Technology of China, Hefei, 230026, China
Xianghui Xue
CAS Key Laboratory of Geospace Environment, University of Science and
Technology of China, Hefei, 230026, China
Xiankang Dou
CAS Key Laboratory of Geospace Environment, University of Science and
Technology of China, Hefei, 230026, China
School of Electronic Information, Wuhan University, Wuhan, 430072,
China
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- Turbulence Detection in the Atmospheric Boundary Layer Using Coherent Doppler Wind Lidar and Microwave Radiometer P. Jiang et al.
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51 citations as recorded by crossref.
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- Estimating atmospheric visibility and PM from Doppler wind lidar with traditional and machine learning models W. Xu et al.
- Impacts of turbulent intermittency and pressure oscillation on persistent heavy haze pollution Q. Li et al.
- Meteorological Factors Attribution Analysis of Aerosol Layer Structure Changes in Mie-Scattering Profiles Measured by Lidar S. Yu et al.
- Research on impact of range resolutions on wind detection performance using virtual lidar J. Liu et al.
- Estimating hourly ground-level aerosols using Geostationary Environment Monitoring Spectrometer aerosol optical depth: a machine learning approach S. O et al.
- Robust Solution for Boundary Layer Height Detections with Coherent Doppler Wind Lidar L. Wang et al.
- Spatial resolution enhancement of coherent Doppler wind lidar using differential correlation pair technique Y. Zhang et al.
- Cloud Seeding Evidenced by Coherent Doppler Wind Lidar J. Yuan et al.
- Drone measurements reveal high near-surface urban haze A. Ahlawat et al.
- Analysis on Temporal Pattern of Fine Particulate Matter (PM<sub>2.5</sub>) in Hanoi, Vietnam and the Impact of Meteorological Conditions C. Tran et al.
- Severe Californian wildfires in November 2018 observed from space: the carbon monoxide perspective O. Schneising et al.
- Short-term impacts of 2017 western North American wildfires on meteorology, the atmosphere’s energy budget, and premature mortality D. Bernstein et al.
- Study on the Parameters of Ice Clouds Based on 1.5 µm Micropulse Polarization Lidar Y. Li et al.
- Estimation of Atmospheric Boundary Layer Turbulence Parameters over the South China Sea Based on Multi-Source Data Y. Liu et al.
- Wind vector retrieval algorithm for a coherent Doppler lidar based on KNN-COOKS J. Yu et al.
- Thundercloud structures detected and analyzed based on coherent Doppler wind lidar K. Wu et al.
- Evaluation of the boundary layer mixing height and air pollution in Arak, Iran M. Karampoor et al.
- Performance evaluation of photographic measurement in the machine-learning prediction of ground PM2.5 concentration L. Feng et al.
- Particulate matter concentrations derived from airborne high spectral resolution lidar measurements using machine learning regression R. Ferrare et al.
- Forecasting the Exceedances of PM2.5 in an Urban Area S. Logothetis et al.
- A Robust Threshold Method of Mixed Layer Height Based on Lidar Turbulence Data Under Different Thermal Convection Conditions L. Wang et al.
- Derivation of PM10 mass concentration from advanced satellite retrieval products based on a semi-empirical physical approach Y. Wei et al.
- Applicability Assessment of Coherent Doppler Wind LiDAR for Monitoring during Dusty Weather at the Northern Edge of the Tibetan Plateau M. Song et al.
- Inversion probability enhancement of all-fiber CDWL by noise modeling and robust fitting T. Wei et al.
- Real-time synchronous detection of wind and aerosol using a coherent lidar Y. Shi et al.
- Single-photon avalanche diodes dynamic range and linear response enhancement by conditional probability correction B. Yang et al.
- Simultaneous wind and rainfall detection by power spectrum analysis using a VAD scanning coherent Doppler lidar T. Wei et al.
- Dark/bright band of a melting layer detected by coherent Doppler lidar and micro rain radar T. Wei et al.
- Characterizing urban planetary boundary layer dynamics using 3-year Doppler wind lidar measurements in a western Yangtze River Delta city, China T. Wei et al.
- Remote sensing of raindrop size distribution using the coherent Doppler lidar T. Wei et al.
- Theoretical and experimental investigation of the molecular depolarization ratio for broadband polarization lidar techniques Z. Kong et al.
- FastCTM (v1.0): Atmospheric chemical transport modelling with a principle-informed neural network for air quality simulations B. Lyu et al.
- A Compact, Flexible, and Robust Micropulsed Doppler Lidar P. Schroeder et al.
- Long-lived high-frequency gravity waves in the atmospheric boundary layer: observations and simulations M. Jia et al.
- Marine Mixed Layer Height Detection Using Ship-Borne Coherent Doppler Wind Lidar Based on Constant Turbulence Threshold L. Wang et al.
- From traffic flow to ozone surges: Exploring threshold effects and interactive drivers of urban ozone pollution in arid regions Y. Wang et al.
- Turbulence Detection in the Atmospheric Boundary Layer Using Coherent Doppler Wind Lidar and Microwave Radiometer P. Jiang et al.
- Observation of bioaerosol transport using wideband integrated bioaerosol sensor and coherent Doppler lidar D. Tang et al.
- Cities of Central Asia: New hotspots of air pollution in the world M. Tursumbayeva et al.
- Retrieving Boundary Layer Height Using Doppler Wind Lidar and Microwave Radiometer in Beijing Under Varying Weather Conditions C. Liu et al.
- Unexpected deep mixing layer in the Sichuan Basin, China Y. Liu et al.
- Contradictory response of ozone and particulate matter concentrations to boundary layer meteorology Y. Liu & G. Tang
- Significant regional climatic impacts of the wind farm redistribute air pollution in China Q. Wang et al.
- Retrieving aerosol backscatter coefficient using coherent Doppler wind lidar T. Wei et al.
- Investigating Indoor Air Pollution Sources and Student’s Exposure Within School Classrooms: Using a Low‐Cost Sensor and Source Apportionment Approach O. Rose et al.
- Assessment of Synergistic Impact of Ambient Surface Ozone and Fine Particulate Matter on Experimentally Grown Wheat Crop R. Sharma et al.
- Local-Scale Horizontal CO2 Flux Estimation Incorporating Differential Absorption Lidar and Coherent Doppler Wind Lidar B. Yue et al.
Saved (final revised paper)
Latest update: 06 May 2026
Short summary
To investigate the relationship between BLH and air pollution under different conditions, a compact micro-pulse lidar integrating both direct-detection lidar and coherent Doppler wind lidar is built. Evolution of atmospheric boundary layer height (BLH), aerosol layer and fine structure in cloud base are well retrieved. Negative correlation exists between BLH and PM2.5. Different trends show that the relationship between PM2.5 and BLH should be considered in different boundary layer categories.
To investigate the relationship between BLH and air pollution under different conditions, a...
