Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/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 |
ISSN | 0899-8418 |
EISSN | 1097-0088 |
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 |
推荐引用方式 GB/T 7714 | 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. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论