globalchange  > 气候减缓与适应
DOI: 10.1002/joc.5178
论文题名:
Classification of key aerosol types and their frequency distributions based on satellite remote sensing data at an industrially polluted city in the Yangtze River Delta, China
作者: Kumar K.R.; Kang N.; Yin Y.
刊名: International Journal of Climatology
ISSN: 8998418
出版年: 2018
卷: 38, 期:1
起始页码: 320
结束页码: 336
语种: 英语
英文关键词: aerosol type classification ; AOD ; MODIS ; OMI ; Yangtze River Delta
Scopus关键词: Atmospheric aerosols ; Classification (of information) ; Image reconstruction ; Optical properties ; Radiometers ; Rivers ; Satellite imagery ; Ultraviolet spectrometers ; Aerosol types ; Moderate resolution imaging spectroradiometer ; MODIS ; Optical properties of aerosols ; Ozone monitoring instruments ; Satellite remote sensing data ; Spatiotemporal heterogeneities ; Yangtze river delta ; Aerosols ; aerosol property ; biomass burning ; classification ; MODIS ; monitoring system ; optical depth ; satellite imagery ; satellite sensor ; seasonal variation ; urban pollution ; China ; Jiangsu ; Nanjing [Jiangsu] ; Yangtze Delta ; Yangtze River
英文摘要: In the present study, characterization of columnar aerosol optical properties and classifying the major aerosol types was investigated at an urban–industrial city, Nanjing in the Yangtze River Delta (YRD) region over East China using simultaneous data sets retrieved from the MODerate resolution Imaging Spectroradiometer (MODIS) and Ozone Monitoring Instrument (OMI) sensors during 2004–2015. A notable spatiotemporal heterogeneity was observed in the optical properties of aerosols on the seasonal scale over East China. Aerosol optical depth at 550 nm (AOD550) exhibited pronounced seasonal variability over Nanjing in the YRD, with higher values during summer and spring seasons and lower in winter. Ångström exponent (AE470–660) found higher in summer indicating the relative abundance of fine mode aerosols over the coarse mode. We also used the Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) model for presenting cluster trajectory analysis which revealed that the airmasses from different source regions contributed greatly to aerosol loading during the study period. In addition, we followed two techniques for studying classification of major aerosol types based on the predefined thresholds. Using the AOD–AE method (here called as Technique-I), five major aerosol types were identified via, continental clean (CC), marine (MA), biomass burning/urban–industrial (BU), desert dust (DD), and mixed (MX). In all the seasons, MX is the dominant aerosol type followed by the BU and DD type aerosols during summer and spring seasons, respectively. Further, the sub-classification of aerosol types was carried out considering into account of the characteristics of absorbing aerosol index (AAI) (here called as Technique-II). The two clustering techniques showed reasonable consistency in the obtained results. The various aerosol types (absorbing and non-absorbing) and their change over a region are highly helpful in fine tuning the models to decrease the uncertainty in the radiative and climatic effects of aerosols. © 2017 Royal Meteorological Society
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/117169
Appears in Collections:气候减缓与适应

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作者单位: Key Laboratory of Meteorological Disaster, Ministry of Education (KLME), Collaborative Innovation Centre for Forecast and Evaluation of Meteorological Disasters, International Joint Research Laboratory on Climate and Environment Change (ILCEC), Nanjing University of Information Science and Technology, Nanjing, China; Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing, China

Recommended Citation:
Kumar K.R.,Kang N.,Yin Y.. Classification of key aerosol types and their frequency distributions based on satellite remote sensing data at an industrially polluted city in the Yangtze River Delta, China[J]. International Journal of Climatology,2018-01-01,38(1)
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