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1.
Guang Pu Xue Yu Guang Pu Fen Xi ; 28(4): 834-8, 2008 Apr.
Artigo em Chinês | MEDLINE | ID: mdl-18619310

RESUMO

Without the hypothesis of atmospheric parameters and auxiliary equipment, it is proven the slope method is capable of deriving extinction coefficients profiles and atmosphere optical depth through the analysis of the atmospheric environment detecting airborne lidar (AEDAL) data collected during November 7 to 11, 2005. The spatial and temporal variations of the planet boundary layer (PBL), aerosol optical depth (AOD) of the PBL and aerosol distribution along flight lines are exhibited from the AEDAL inversion results. Firstly, the sinking of aerosol was found in Yellow Sea area, moreover, the PBL altitude also dropped while the multi-layer aerosol presented after a cold front passage; secondly, the AOD of the PBL is the highest over Qingdao city, the lowest over foothill area and in between them over sea area, Meanwhile, it is relatively stable over sea area but slightly increases nearby upslope. The AOD values of the PBL were determined to be 0.15-0.35 in clear day and 0.3-0.45 in foggy day over the area from Qingdao to Bohai, but they are higher and reach around 0.55 in Yellow Sea area. It is evidenced that the aerosol in the PBL mainly comes from city and also is contributed by salt sea over Qingdao area, and ridge and surface wind play an important role in the aerosol transport while the monsoon affects the aerosol distribution.


Assuntos
Poluentes Atmosféricos/análise , Monitoramento Ambiental/métodos , Aerossóis/química , Calibragem , China , Oceanos e Mares
2.
Guang Pu Xue Yu Guang Pu Fen Xi ; 26(11): 1973-6, 2006 Nov.
Artigo em Chinês | MEDLINE | ID: mdl-17260734

RESUMO

A new mobile lidar system has been developed for measuring tropospheric aerosol. Its main structure and specification as well as lidar data processing method are described. The results of measurement over Hefei city show that this lidar has ability to gain profiles of tropospheric aerosol day and night, and to manifest aerosol temporal and spatial distributions with high precision.

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