Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1007/s11356-017-0715-6 |
Spatiotemporal characteristics of aerosols and their trends over mainland China with the recent Collection 6 MODIS and OMI satellite datasets | |
Hu, Kang1; Kumar, Kanike Raghavendra1; Kang, Na1; Boiyo, Richard1,2; Wu, Jinwen3 | |
通讯作者 | Kumar, Kanike Raghavendra |
来源期刊 | ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
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ISSN | 0944-1344 |
EISSN | 1614-7499 |
出版年 | 2018 |
卷号 | 25期号:7页码:6909-6927 |
英文摘要 | With the rapid development of China’s economy and high rate of industrialization, environmental pollution has become a major challenge for the country. The present study is aimed at analyzing spatiotemporal heterogeneities and changes in trends of different aerosol optical properties observed over China. To achieve this, Collection 6 Level 3 data retrieved from the Moderate Resolution Imaging Spectroradiometer (MODIS; 2002-2016) and Ozone Monitoring Instrument (OMI; 2005-2016) sensors were used to investigate aerosol optical depth (AOD(550)), Angstrom exponent (AE(470-660)), and Absorption Aerosol Index (AAI). The spatial distribution of annual mean AOD(550) was noticed to be high over economically and industrialized regions of the east, south, and northeast of China, while low aerosol loadings were located over rural and less-developed areas of the west and northeast of China. High AE(470-660) (> 1.0) values were characterized by the abundance of fine-mode particles and vice versa, likely attributed to large anthropogenic activities. Similarly, high AOD with corresponding high AE and low AAI was characterized over the urban-industrialized regions of the central, east, and south of China during most of the months, being more pronounced in June and July. On seasonal scale, AOD values were found to be high during spring, followed by the summer and autumn, and low during the winter season. It is also evident that all aerosol parameters showed a single-peak frequency distribution in all seasons over entire China. Further, the annual, monthly, and seasonal spatial trends revealed a decreasing trend in AOD over most regions of China, except in the southwest of China, which showed a positive increasing trend. Significant increasing trends were noted in AAI for all the seasons, particularly during autumn and winter, resulting in a large amount of the absorbing type of aerosols produced from biomass burning and desert dust. |
英文关键词 | MODIS OMI Aerosol optical depth Absorption Aerosol Index Spatial trends China |
类型 | Article |
语种 | 英语 |
国家 | Peoples R China ; Kenya |
收录类别 | SCI-E |
WOS记录号 | WOS:000426571000073 |
WOS关键词 | OPTICAL DEPTH ; ANGSTROM EXPONENT ; URBAN ; MISR ; PRODUCTS ; AERONET ; CLIMATOLOGY ; PARAMETERS ; ALGORITHM ; PROVINCE |
WOS类目 | Environmental Sciences |
WOS研究方向 | Environmental Sciences & Ecology |
来源机构 | 南京信息工程大学 |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/209134 |
作者单位 | 1.Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Int Joint Lab Climate & Environm Change ILCEC,Sch, Key Lab Meteorol Disasters,Minist Educ KLME,Key L, Nanjing 210044, Jiangsu, Peoples R China; 2.Meru Univ Sci & Technol, Dept Phys Sci, POB 972-60200, Meru, Kenya; 3.China Meteorol Adm, Inst Atmospher Environm, Shenyang 110016, Liaoning, Peoples R China |
推荐引用方式 GB/T 7714 | Hu, Kang,Kumar, Kanike Raghavendra,Kang, Na,et al. Spatiotemporal characteristics of aerosols and their trends over mainland China with the recent Collection 6 MODIS and OMI satellite datasets[J]. 南京信息工程大学,2018,25(7):6909-6927. |
APA | Hu, Kang,Kumar, Kanike Raghavendra,Kang, Na,Boiyo, Richard,&Wu, Jinwen.(2018).Spatiotemporal characteristics of aerosols and their trends over mainland China with the recent Collection 6 MODIS and OMI satellite datasets.ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,25(7),6909-6927. |
MLA | Hu, Kang,et al."Spatiotemporal characteristics of aerosols and their trends over mainland China with the recent Collection 6 MODIS and OMI satellite datasets".ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH 25.7(2018):6909-6927. |
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