Comprehensive study of regional haze in the North China Plain with synergistic measurement from multiple mobile vehicle-based lidars and a lidar network

Lv, Lihui; Yan, Xiang; Chai, Wenxuan; Liu, Wenqing

doi:10.1016/j.scitotenv.2020.137773

Cited by 19 publications

(9 citation statements)

References 30 publications

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“…T. Liu et al: Long-term variation in aerosol lidar ratio in Shanghai 2015; Lv et al, 2020;Ma et al, 2019). In addition, CALIOP (Cloud-Aerosol Lidar with Orthogonal Polarization) onboard CALIPSO (Cloud-Aerosol Lidar Infrared Pathfinder Satellite Observations) can observe the vertical distribution of global aerosol optical properties, and its data products have been widely used around the world (Kim et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Long-term variation in aerosol lidar ratio in Shanghai based on Raman lidar measurements

Liu

Chen

et al. 2021

Atmos. Chem. Phys.

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Abstract. Accurate lidar ratio (LR) and better understanding of its variation characteristics can not only improve the retrieval accuracy of parameters from elastic lidar, but also play an important role in assessing the impacts of aerosols on climate. Using the observational data of a Raman lidar in Shanghai from 2017 to 2019, LRs at 355 nm were retrieved and their variations and influence factors were analyzed. Within the height range of 0.5–5 km, about 90 % of the LRs were distributed in 10–80 sr with an average value of 41.0 ± 22.5 sr, and the LR decreased with the increase in height. The volume depolarization ratio (δ) was positively correlated with LR, and it also decreased with the increase in height, indicating that the vertical distribution of particle shape was one of the influence factors of the variations in LR with height. LR had a strong dependence on the original source of air masses. Affected by the aerosols transported from the northwest, the average LR was the largest, 44.2 ± 24.7 sr, accompanied by the most irregular particle shape. The vertical distribution of LR was affected by atmospheric turbidity, with the greater gradient of LR under clean conditions. The LR above 1 km could be more than 80 sr, when Shanghai was affected by biomass burning aerosols.

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Section: Introductionmentioning

confidence: 99%

Long-term variation in aerosol lidar ratio in Shanghai based on Raman lidar measurements

Liu

Chen

et al. 2021

Atmos. Chem. Phys.

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“…The northeast transport path, especially through Liaoning province, had the substantial impact on PM 2.5 in the three recipient cities. The previous studies found that the regional transports were mainly a southerly transport path for NCP (Zhu et al 2016 ; Du et al 2020 ; Lv et al 2020 ). However, this study shows that the northeast transport path dominates the regional transport for the haze formation in the North China Plain.…”

Section: Resultsmentioning

confidence: 93%

Non-stop industries were the main source of air pollution during the 2020 coronavirus lockdown in the North China Plain

et al. 2021

Environ Chem Lett

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“…The HYSPLIT (Hybrid Single‐Particle Lagrangian Integrated Trajectory) Model (http://ready.arl.noaa.gov/HYSPLIT.php) was jointly developed by the Air Resources Laboratory of the National Oceanic and Atmospheric Administration (NOAA) and the Australian Bureau of Meteorology for the calculation and analysis of the trajectory of transport and diffusion of atmospheric pollutants (Lv et al., 2020). In this study, 1° × 1° Global Data Assimilation System (GDAS) data from the National Centers for Environmental Prediction (NCEP) were used to calculate a 24‐h retreat trajectory 500 m above ground level (AGL).…”

Section: Methodsmentioning

confidence: 99%

Characteristics and Source Apportionment of the Vertical Distribution of Ozone at a Site of the Pearl River Delta Region of China

Wang

Yan

Liu³

et al. 2021

Earth and Space Science

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Ozone pollution adversely affects human health. In recent years, ozone pollution has become an important research topic and a challenge. By combining differential absorption lidar (DIAL), meteorological gradient tower data, the Weather Research and Forecasting (WRF) model, and the backward trajectories model, changes in vertical ozone concentration, the influencing factors on ozone vertical distribution, and ozone sources were analyzed in Shenzhen from September 20 to 30, 2019.Results indicated that from September 25 to 30, there was obvious residual ozone and transport at night. The analysis of ozone concentration and meteorological factors shows that the temperatures of 291.3-301.8 K and the humidity of 19.4%-71.6% were conducive to ozone formation. As height increased from less than 0.1 km to 0.3 km, the average ozone concentration increased, and the average NO2 concentration decreased. The analysis of potential ozone sources showed that ozone was mainly transported from the northeast of China and that the highest concentration of ozone mainly comes from southeast of Jiangxi province in southeastern China.

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Comprehensive study of regional haze in the North China Plain with synergistic measurement from multiple mobile vehicle-based lidars and a lidar network

Cited by 19 publications

References 30 publications

Long-term variation in aerosol lidar ratio in Shanghai based on Raman lidar measurements

Long-term variation in aerosol lidar ratio in Shanghai based on Raman lidar measurements

Non-stop industries were the main source of air pollution during the 2020 coronavirus lockdown in the North China Plain

Characteristics and Source Apportionment of the Vertical Distribution of Ozone at a Site of the Pearl River Delta Region of China

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