Estimating the Columnar Concentrations of Black Carbon Aerosols in China Using MODIS Products

Bao, Fangwen1; Li, Ying1,2; Cheng, Tianhai3; Gao, Jinhui1; Yuan, Shuyun1

2020-09-15

10.1021/acs.est.0c00816

ENVIRONMENTAL SCIENCE & TECHNOLOGY   影响因子和分区

0013-936X

1520-5851

Black carbon (BC), the strongest light-absorbing particle, is believed to play substantial roles in regional air quality and global climate change. In this study, taking advantage of the high quality of moderate resolution imaging spectroradiometer products, we developed a new algorithm to estimate the BC columnar concentrations over China by simulating the BC and non-BC aerosol mixing states in detail. The results show that our new algorithm produces a reliable estimation of BC aerosols, in which BC columnar concentrations and their related parameters (aerosol absorption and BC surface concentration) show reasonable agreements and low biases compared with ground-based measurements. The uncertainties of BC retrievals are mainly associated with the surface and aerosol assumptions used in the algorithm, ranging from -14 to 44% at higher aerosol optical depth (AOD > 0.5). The proposed algorithm can improve the capability of space-borne aerosol remote sensing by successfully distinguishing BC from other aerosols. The acquired BC columnar concentrations enable the spatial pattern of serious BC aerosol pollution over East China to be characterized, showing that it exhibits higher levels in winter. These nationwide results are beneficial for estimating BC emissions, proposing mitigation strategies for air pollution, and potentially reducing the uncertainties of climate change studies.

SCI ; EI

英语

NI论文

第一 ; 通讯

Guangdong Province Science and Technology Planning Project of China[2017A050506003] ; National Natural Science Foundation of China[41961160728] ; Shenzhen Peacock Teams Plan[KQTD20180411143441009] ; National Key Research and Development Program of China[2017YFC0212302] ; Shenzhen Key Laboratory Foundation[ZDSYS20180208184349083] ; Guangdong Basic and Applied Basic Research Foundation[2019A1515110384] ; China Postdoctoral Science Foundation[2019M662169][2019M662199]

Engineering ; Environmental Sciences & Ecology

Engineering, Environmental ; Environmental Sciences

WOS:000572834700005

AMER CHEMICAL SOC

20204609491326

Atmospheric aerosols ; Radiometers ; Uncertainty analysis ; Air quality ; Optical remote sensing ; Carbon

Atmospheric Properties:443.1 ; Air Pollution Control:451.2 ; Optical Devices and Systems:741.3 ; Chemical Products Generally:804 ; Probability Theory:922.1 ; Radiation Measuring Instruments:944.7

ENVIRONMENT/ECOLOGY

Web of Science

1.Southern Univ Sci & Technol, Ctr Ocean & Atmospher Sci SUSTech COAST, Dept Ocean Sci & Engn, Shenzhen 518055, Peoples R China
2.Southern Univ Sci & Technol, Shenzhen Key Lab Marine Archaea GeoOm, Shenzhen 518055, Guangdong, Peoples R China
3.Chinese Acad Sci, State Key Lab Remote Sensing Sci, Inst Remote Sensing & Digital Earth, Beijing 100094, Peoples R China

Bao, Fangwen,Li, Ying,Cheng, Tianhai,et al. Estimating the Columnar Concentrations of Black Carbon Aerosols in China Using MODIS Products[J]. ENVIRONMENTAL SCIENCE & TECHNOLOGY,2020,54(18):11025-11036.

Bao, Fangwen,Li, Ying,Cheng, Tianhai,Gao, Jinhui,&Yuan, Shuyun.(2020).Estimating the Columnar Concentrations of Black Carbon Aerosols in China Using MODIS Products.ENVIRONMENTAL SCIENCE & TECHNOLOGY,54(18),11025-11036.

Bao, Fangwen,et al."Estimating the Columnar Concentrations of Black Carbon Aerosols in China Using MODIS Products".ENVIRONMENTAL SCIENCE & TECHNOLOGY 54.18(2020):11025-11036.