GSTDTAP  > 气候变化
DOI10.1002/joc.5178
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
Kumar, K. Raghavendra1,2; Kang, Na1,2; Yin, Yan1,2
2018
发表期刊INTERNATIONAL JOURNAL OF CLIMATOLOGY
ISSN0899-8418
EISSN1097-0088
出版年2018
卷号38期号:1页码:320-336
文章类型Article
语种英语
国家Peoples R China
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 550nm (AOD(550)) exhibited pronounced seasonal variability over Nanjing in the YRD, with higher values during summer and spring seasons and lower in winter. angstrom ngstrom exponent (AE(470-660)) 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.


英文关键词MODIS OMI AOD aerosol type classification Yangtze River Delta
领域气候变化
收录类别SCI-E
WOS记录号WOS:000419093600023
WOS关键词OPTICAL-PROPERTIES ; CLIMATOLOGICAL TRENDS ; MODIS ; DEPTH ; MISR ; PRODUCTS ; DISCRIMINATION ; PARAMETERS ; LAND ; BASIN
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/37474
专题气候变化
作者单位1.Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Int Joint Res Lab Climate & Environm Change ILCEC, Key Lab Meteorol Disaster,Minist Educ KLME, Nanjing, Jiangsu, Peoples R China;
2.Nanjing Univ Informat Sci & Technol, Sch Atmospher Phys, Key Lab Aerosol Cloud Precipitat, China Meteorol Adm, Meteorol Bldg 219,Ningliu Rd, Nanjing 210044, Jiangsu, Peoples R China
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Kumar, K. Raghavendra,Kang, Na,Yin, Yan. 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,2018,38(1):320-336.
APA Kumar, K. Raghavendra,Kang, Na,&Yin, Yan.(2018).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.INTERNATIONAL JOURNAL OF CLIMATOLOGY,38(1),320-336.
MLA Kumar, K. Raghavendra,et al."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".INTERNATIONAL JOURNAL OF CLIMATOLOGY 38.1(2018):320-336.
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