Journal of Atmospheric and Environmental Optics, Volume. 14, Issue 6, 411(2019)

Temporal Characteristics of Aerosol Optical Depth Based on Cluster Analysis Method

Zhuang LIU1、*, Chenlie SHI1, Meng ZHANG1, Zhiyuan GAO1, ZHUXinming 1, and Xuhong WANG1,2
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  • 1[in Chinese]
  • 2[in Chinese]
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    Using the K-means cluster analysis method, the times series of aerosol optical depth (AOD) over central and eastern China from March 2008 to February 2018 were analyzed based on the data of moderate resolution imaging spectroradiometer (MODIS) MOD08M3. The results show that: 1) The characteristics of time series of AOD were analyzed from the pixel scale, which avoided the problem of rules mixing and leaded to the acquisition of accurate variation rules and fluctuation scales. 2) Four regional results were obtained on the inter-annual change scale, and the inter-annual variation of AOD was mainly influenced by the factor of population distribution. 3) There are 9 types of change zones on the inter-seasonal fluctuation scale, namely, North China plain region, Middle-Lower Yangtze River region, Plateau Mountain region, Yunnan-Guizhou region, Lanzhou-Yinchuan-Alxa region, Sichuan Basin region, Guanzhong-Shaannan region, Guangdong-Guangxi-Southern Hunan-Southern Jiangxi region, and the Southeast Coastal region. And the dominant influencing factors of seasonal fluctuations of AOD in the areas have been obtained based on the geographical location of some changes in the sub-regions. These results are helpful to study the precise changes of the AOD time series and the climatic environment in the central and eastern regions.

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    LIU Zhuang, SHI Chenlie, ZHANG Meng, GAO Zhiyuan, ZHUXinming, WANG Xuhong. Temporal Characteristics of Aerosol Optical Depth Based on Cluster Analysis Method[J]. Journal of Atmospheric and Environmental Optics, 2019, 14(6): 411

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    Paper Information

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    Received: Dec. 14, 2018

    Accepted: --

    Published Online: Dec. 5, 2019

    The Author Email: Zhuang LIU (1065661608@qq.com)

    DOI:10.3969/j.issn.1673-6141.2019.06.002

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