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Environmental Science and Pollution Research | 2018

Spatiotemporal characteristics of aerosols and their trends over mainland China with the recent Collection 6 MODIS and OMI satellite datasets

Kang Hu; Kanike Raghavendra Kumar; Na Kang; Richard Boiyo; Jinwen Wu

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 (AOD550), Ångstrӧm exponent (AE470–660), and Absorption Aerosol Index (AAI). The spatial distribution of annual mean AOD550 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 AE470–660 (> 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.


Atmospheric Environment | 2015

Aerosol climatology and discrimination of aerosol types retrieved from MODIS, MISR and OMI over Durban (29.88°S, 31.02°E), South Africa

K. Raghavendra Kumar; Yan Yin; Venkataraman Sivakumar; Na Kang; Xingna Yu; Yiwei Diao; A. Joseph Adesina; R.R. Reddy


Atmospheric Environment | 2014

Long-term (2003–2013) climatological trends and variations in aerosol optical parameters retrieved from MODIS over three stations in South Africa

K. Raghavendra Kumar; Venkataraman Sivakumar; Yan Yin; R.R. Reddy; Na Kang; Yiwei Diao; A. Joseph Adesina; Xingna Yu


Environmental Science and Pollution Research | 2016

Dust aerosol properties and radiative forcing observed in spring during 2001-2014 over urban Beijing, China.

Xingna Yu; Lü R; Kanike Raghavendra Kumar; Jia Ma; Zhang Q; Jiang Y; Na Kang; Yang S; Junxiu Wang; Mei Li


Environmental Science and Pollution Research | 2016

Column-integrated aerosol optical properties and direct radiative forcing over the urban-industrial megacity Nanjing in the Yangtze River Delta, China

Na Kang; K. Raghavendra Kumar; Xingna Yu; Yan Yin


Atmospheric Environment | 2013

Aerosol optical properties during firework, biomass burning and dust episodes in Beijing

Xingna Yu; Chanzhen Shi; Jia Ma; Bin Zhu; Mei Li; Jing Wang; Suying Yang; Na Kang


Atmospheric Research | 2016

Long-term (2002–2014) evolution and trend in Collection 5.1 Level-2 aerosol products derived from the MODIS and MISR sensors over the Chinese Yangtze River Delta

Na Kang; K. Raghavendra Kumar; Kang Hu; Xingna Yu; Yan Yin


Atmospheric Environment | 2017

Temporal characteristics of columnar aerosol optical properties and radiative forcing (2011–2015) measured at AERONET’s Pretoria_CSIR_DPSS site in South Africa

K. Raghavendra Kumar; Na Kang; Venkataraman Sivakumar; Derek Griffith


Aerosol and Air Quality Research | 2015

Correlation Analysis between AOD and Cloud Parameters to Study Their Relationship over China Using MODIS Data (2003-2013): Impact on Cloud Formation and Climate Change

Na Kang; Kanike Raghavendra Kumar; Yan Yin; Yiwei Diao; Xingna Yu


International Journal of Climatology | 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

K. Raghavendra Kumar; Na Kang; Yan Yin

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K. Raghavendra Kumar

Nanjing University of Information Science and Technology

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Xingna Yu

Nanjing University of Information Science and Technology

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Yan Yin

Nanjing University of Information Science and Technology

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Yiwei Diao

Nanjing University of Information Science and Technology

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Jia Ma

Nanjing University of Information Science and Technology

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Kang Hu

Nanjing University of Information Science and Technology

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Kanike Raghavendra Kumar

Nanjing University of Information Science and Technology

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Richard Boiyo

University of Science and Technology

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