Integrating LIDAR data and four-dimensional flux method to analyzing the transmission of PM2.5 in Shenzhen

Liu, Chanfang; He, Long; Pi, Dongqin; Zhao, Jiangwei; Lin, Liheng; He, Pengfei; Jiahe, Wang; Wu, Jianbin; Chen, Huansheng; Yan, Peng; Wang, Weimin; Lin, S. B.; You, Yong

doi:10.1016/j.pce.2019.04.001

Cited by 8 publications

(1 citation statement)

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“…Then, transportations of PM 2.5 at the boundary of Beijing and Baoding on the southwest pathway were investigated in the winter of 2017 [30]. They found that the value of PM 2.5 fluxes from Baoding to Beijing were positive when the southern wind appeared and that they were negative when the northern wind occurred below 500 m. Besides, the transport characteristics of PM 2.5 of other regions such as Shenzhen were analyzed by a four-dimensional flux method and PM 2.5 source contribution was identified accordingly [31]. In summary, to retrieve aerosol flux and investigate the aerosol transport process, it is frequently used to combine an aerosol lidar with a Doppler wind lidar or other numerical models.…”

Section: Introductionmentioning

confidence: 99%

Retrieval and Calculation of Vertical Aerosol Mass Fluxes by a Coherent Doppler Lidar and a Sun Photometer

Dai

Sun

et al. 2021

Remote Sensing

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The direct and indirect radiation forcing of aerosol particles deeply affect the energy budget and the atmospheric chemical and physical processes. To retrieve the vertical aerosol mass fluxes and to investigate the vertical transport process of aerosol by a coherent Doppler lidar (CDL), a practical method for instrumental calibration and aerosol optical properties retrieval based on CDL and sun photometer synchronization observations has been developed. A conversion of aerosol optical properties to aerosol microphysical properties is achieved by applying a well-developed algorithm. Furthermore, combining the vertical velocity measured simultaneously with a CDL, we use the eddy covariance (EC) method to retrieve the vertical turbulent aerosol mass fluxes by a CDL and sun photometer with a spatial resolution of 15 m and a temporal resolution of 1 s throughout the planetary boundary layer (PBL). In this paper, we present a measurement case of 24-h continuous fluxes observations and analyze the diurnal variation of the vertical velocity, the aerosol backscatter coefficient at 1550 nm, the mean aerosol mass concentration, and the vertical aerosol mass fluxes on 13 April 2020. Finally, the main relative errors in aerosol mass flux retrieval, including sample error σF,S, aerosol optical properties retrieval error σF,R, and error introduced from aerosol microphysical properties retrieval algorithm σF,I, are evaluated. The sample error σF,S is the dominating error which increases with height except during 12:00–13:12 LST. The aerosol optical properties retrieval error σF,R is 21% and the error introduced from the aerosol microphysical properties retrieval algorithm σF,I is less than 50%.

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Section: Introductionmentioning

confidence: 99%