Title :

Spatio-Temporal Variability of Aerosol Components, Their Optical and Microphysical Properties over North China during Winter Haze in 2012, as Derived from POLDER/PARASOL Satellite Observations

Author(s) :

Ou, Yang [Auteur]
University of Chinese Academy of Sciences [Beijing] [UCAS]
Aerospace Information Research Institute [AIRICAS]
Li, Lei [Auteur]
Key Laboratory of Atmospheric Chemistry [Beijing]
Li, Zhengqiang [Auteur]
University of Chinese Academy of Sciences [Beijing] [UCAS]
Aerospace Information Research Institute [AIRICAS]
Zhang, Ying [Auteur]
University of Chinese Academy of Sciences [Beijing] [UCAS]
Aerospace Information Research Institute [AIRICAS]
Doubovik, Oleg [Auteur]
Laboratoire d'Optique Atmosphérique (LOA) - UMR 8518
Derimian, Yevgeny [Auteur]
Laboratoire d'Optique Atmosphérique (LOA) - UMR 8518
Chen, Cheng [Auteur]
Université de Lille
Fuertes, David [Auteur]
Université de Lille
Xie, Yisong [Auteur]
Aerospace Information Research Institute [AIRICAS]
Lopatin, Anton [Auteur]
Université de Lille
Ducos, Fabrice [Auteur]
Laboratoire d'Optique Atmosphérique (LOA) - UMR 8518
Peng, Zongren [Auteur]
Aerospace Information Research Institute [AIRICAS]

Journal title :

Remote Sensing

Abbreviated title :

Remote Sens.

Volume number :

13

Pages :

-

Publication date :

2021-08-08

ISSN :

2072-4292

English keyword(s) :

aerosol components
aerosol optical properties
aerosol microphysical properties
remote sensing
POLDER

HAL domain(s) :

Planète et Univers [physics]/Océan, Atmosphère

English abstract : [en]

Pollution haze is a frequent phenomenon in the North China Plain (NCP) appearing during winter when the aerosol is affected by various pollutant sources and has complex distribution of the aerosol properties, while different ...
Show more >Pollution haze is a frequent phenomenon in the North China Plain (NCP) appearing during winter when the aerosol is affected by various pollutant sources and has complex distribution of the aerosol properties, while different aerosol components may have various critical effects on air quality, human health and radiative balance. Therefore, large-scale and accurate aerosol components characterization is urgently and highly desirable but hardly achievable at the regional scale. In this respect, directional and polarimetric remote sensing observations have great potential for providing information about the aerosol components. In this study, a state-of-the-art GRASP/Component approach was employed for attempting to characterize aerosol components in the NCP using POLDER/PARASOL satellite observations. The analysis was done for January 2012 in Beijing (BJ) and Shanxi (SX). The results indicate a peak of the BC mass concentration in an atmospheric column of 82.8 mg/m2 in the SX region, with a mean of 29.2 mg/m2 that is about four times higher than one in BJ (8.9 mg/m2). The mean BrC mass concentrations are, however, higher in BJ (up to ca. 271 mg/m2) than that in SX, which can be attributed to a higher anthropogenic emission. The mean amount of fine ammonium sulfate-like particles observed in the BJ region was three times lower than in SX (131 mg/m2). The study also analyzes meteorological and air quality data for characterizing the pollution event in BJ. During the haze episode, the results suggest a rapid increase in the fine mode aerosol volume concentration associated with a decrease of a scale height of aerosol down to 1500 m. As expected, the values of aerosol optical depth (AOD), absorbing aerosol optical depth (AAOD) and fine mode aerosol optical depth (AODf) are much higher on hazy days. The mass fraction of ammonium sulfate-like aerosol increases from about 13% to 29% and mass concentration increases from 300 mg/m2 to 500 mg/m2. The daily mean PM2.5 concentration and RH independently measured during these reported pollution episodes reach up to 425 g/m3 and 80% correspondingly. The monthly mean mass concentrations of other aerosol components in the BJ are found to be in agreement with the results of previous research works. Finally, a preliminary comparison of these remote sensing derived results with literature and in situ PM2.5 measurements is also presented.Show less >

Language :

Anglais

Audience :

Internationale

Popular science :

Non

Administrative institution(s) :

Université de Lille
CNRS

Collections :

• Laboratoire d'Optique Atmosphérique (LOA) - UMR 8518

Submission date :

2024-01-16T22:28:34Z
2024-02-13T13:55:53Z