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Spatial and Temporal Variations of Aerosol Optical Depth and Influence Factors over the East China Sea

Received: 29 April 2016     Accepted: 12 May 2016     Published: 28 May 2016
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Abstract

Atmospheric aerosols are solid and liquid particles suspended in the air, which has an important effect in macroscopic climate change. The aerosol optical depth (i.e, AOD) is one of the main factors to characterize the composition and the content of the aerosol. This study was conducted over the area of East China Sea (24ºN-41ºN, 117ºE-128ºE) based on the monthly average AOD data and monthly average wind data of 10 meter over sea surface during 2003-2013. The AOD distribution has the annual periodic variation, the AOD values increased significantly from January to March, and reached the maximum 0.133 in March, and the AOD values declined from April to August, and they stabilized around 0.1 in September to December. The trend of seasonal changes indicated that the AOD values were the highest in the spring, and slightly higher in the winter. The AOD values of spring and winter were significantly higher than the summer and the autumn. For time-series variation, the maximum of AOD values during certain periods gradually increase from 2003 to 2009, and the maximum of AOD values during certain periods gradually decrease from 2009 to 2013. Analyzing the relationship between spatial distribution of AOD and wind vectors over the sea surface, the spatial and temporal distribution and variation of AOD were closely related to the wind direction and speed over the East China Sea.

Published in International Journal of Environmental Monitoring and Analysis (Volume 4, Issue 3)
DOI 10.11648/j.ijema.20160403.15
Page(s) 94-101
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2016. Published by Science Publishing Group

Keywords

Aerosol Optical Depth, Spatial and Temporal Variation, Wind, the East China Sea

References
[1] An W. J., Pathak R. K., Lee B. H., Pandis S. N., 2007, “Aerosol volatility measurement using an improved thermodenuder: Application to secondary organic aerosol”, Journal of Aerosol Science, 38, pp. 305-314.
[2] Chen C.-T. A., 2009, “Chemical and physical fronts in the Bohai, Yellow and East China Seas”, Journal of Marine Systems, 78, pp.394–410.
[3] Chudnovsky A. A., Koutrakis P., Kloog I., Melly S., Nordio F., Lyapustin A., Wang Y. J., Schwartz J., 2014, “Fine particulate matter predictions using high resolution.
[4] Aerosol Optical Depth (AOD) retrievals”, Atmospheric Environment, 89, pp. 189-198.
[5] Cong Z. Y., Kang S. C., Liu X. D., Wang G. F., 2007, “Elemental composition of aerosol in the Nam Co region, Tibetan Plateau, during summer monsoon season”, Atmospheric Environment, 41, pp. 1180-1187.
[6] Cong Z. Y., Kang S. C., Smirnov A., Holben B., 2009, “Aerosol optical properties at Nam Co, a remote site in central Tibetan Plateau”, Atmospheric Research, 92, pp. 42-48.
[7] Fraser R. S., Kaufman Y. J., Mahoney R. L., 1984, “Satellite measurement of aerosol mass and transport”, Atmospheric Environment,18, pp. 2577-2584.
[8] Glantz P., Nilsson E. D., Hoyningen-Huene W. von, 2009, “Estimating a relationship between aerosol optical thickness and surface wind speed over the ocean”, Atmospheric Research, 92, pp. 58-68.
[9] Guo J. P., Zhang X. Y., Wu Y. R., Zhaxi Y. Z., Che H. Z., La B., Wang W., Li X. W., 2011, “Spatio-temporal variation trends of satellite-based aerosol optical depth in China during 1980-2008”, Atmospheric Environment, 45, pp. 6802-6811.
[10] Lee J., Kim J., Lee Y. G., 2014, “Simultaneous retrieval of aerosol properties and clear-sky direct radiative effect over the global ocean from MODIS”, Atmospheric Environment, 92, pp. 309-317.
[11] Lee S., Ghim Y. S., Kim S. W., Yoon S. C., 2009, “Seasonal characteristics of chemically apportioned aerosol optical properties at Seoul and Gosan, Korea”, Atmospheric Environment, 43, pp. 1320-1328.
[12] Li Y. J., Xue Y., Leeuw Gerrit de, Li C., Yang L. K., Hou T. T., Marir F., 2013, “Retrieval of aerosol optical depth and surface reflectance over land from NOAA AVHRR data”, Remote Sensing of environment, 133, pp. 1-20.
[13] Luo N. N., Wong M. S., Zhao W. J., Yan X., Xiao F., 2015, “Improved aerosol retrieval algorithm using Landsat images and its application for PM10 monitoring over urban areas”, Atmospheric Research, 153, pp. 264–275.
[14] Mehta M., 2015, “A study of aerosol optical depth variations over the Indian region using thirteen years (2001–2013) of MODIS and MISR Level 3 data”, Atmospheric Environment, 109, pp. 161-170.
[15] Meij A.de, Pozzer A., Lelieveld J., 2012, “Trend analysis in aerosol optical depths and pollutant emission estimates between 2000 and 2009”, Atmospheric Environment, 51, pp. 75-85.
[16] Moula M., Verdebout J., Eva H., 2002, “Aerosol optical thickness retrieval over the Atlantic Ocean using GOES imager data”, Physics and Chemistry of the Earth, 27, pp. 1525-1531.
[17] Stopa J. E., Cheung K. F., 2014, “Intercomparison of Wind and Wave Data from the ECMWF Reanalysis Interim and the NCEP Climate Forecast System Reanalysis”, Ocean Modelling, 75, pp. 65-83.
[18] Sun X. P, 2008, Coastal Regional Oceanography in China, Beijing: Ocean Press.
[19] Sundström A. M., Kolmonen Sogacheva P., L., Leeuw G. de, 2012, “Aerosol retrievals over China with the AATSR dual view algorithm”, Remote Sensing of Environment, 116, pp. 189-198.
[20] Tai A. P. K., Mickley L. J., Jacob D. J., 2010, “Correlations between fine particulate matter (PM2.5) and meteorological variables in the United States: implications for the sensitivity of PM2.5 to climate change”, Atmospheric Environment, 44, pp. 3976-3984.
[21] Wang J., Xu X. G., Spurr R., Wang Y. X., Drury E., 2010, “Improved algorithm for MODIS satellite retrievals of aerosol optical thickness over land in dusty atmosphere: Implications for air quality monitoring in China”, Remote Sensing of Environment, 114, pp. 2575-2583.
[22] Wei. F. Y., 2007, Modern diagnosis and prediction of climate statistics, Meteorological Press. Beijing, 2nd edition.
[23] Yuan Y., Shuai Y., Li X. W., Liu B., Tan H. P., 2014, “Using a new aerosol relative optical thickness concept to identify aerosol particle species”, Atmospheric Research, 150, pp. 1-11.
Cite This Article
  • APA Style

    Xiao-shen Zheng, Ya-nan Zhang, Yue Pan. (2016). Spatial and Temporal Variations of Aerosol Optical Depth and Influence Factors over the East China Sea. International Journal of Environmental Monitoring and Analysis, 4(3), 94-101. https://doi.org/10.11648/j.ijema.20160403.15

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    ACS Style

    Xiao-shen Zheng; Ya-nan Zhang; Yue Pan. Spatial and Temporal Variations of Aerosol Optical Depth and Influence Factors over the East China Sea. Int. J. Environ. Monit. Anal. 2016, 4(3), 94-101. doi: 10.11648/j.ijema.20160403.15

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    AMA Style

    Xiao-shen Zheng, Ya-nan Zhang, Yue Pan. Spatial and Temporal Variations of Aerosol Optical Depth and Influence Factors over the East China Sea. Int J Environ Monit Anal. 2016;4(3):94-101. doi: 10.11648/j.ijema.20160403.15

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  • @article{10.11648/j.ijema.20160403.15,
      author = {Xiao-shen Zheng and Ya-nan Zhang and Yue Pan},
      title = {Spatial and Temporal Variations of Aerosol Optical Depth and Influence Factors over the East China Sea},
      journal = {International Journal of Environmental Monitoring and Analysis},
      volume = {4},
      number = {3},
      pages = {94-101},
      doi = {10.11648/j.ijema.20160403.15},
      url = {https://doi.org/10.11648/j.ijema.20160403.15},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijema.20160403.15},
      abstract = {Atmospheric aerosols are solid and liquid particles suspended in the air, which has an important effect in macroscopic climate change. The aerosol optical depth (i.e, AOD) is one of the main factors to characterize the composition and the content of the aerosol. This study was conducted over the area of East China Sea (24ºN-41ºN, 117ºE-128ºE) based on the monthly average AOD data and monthly average wind data of 10 meter over sea surface during 2003-2013. The AOD distribution has the annual periodic variation, the AOD values increased significantly from January to March, and reached the maximum 0.133 in March, and the AOD values declined from April to August, and they stabilized around 0.1 in September to December. The trend of seasonal changes indicated that the AOD values were the highest in the spring, and slightly higher in the winter. The AOD values of spring and winter were significantly higher than the summer and the autumn. For time-series variation, the maximum of AOD values during certain periods gradually increase from 2003 to 2009, and the maximum of AOD values during certain periods gradually decrease from 2009 to 2013. Analyzing the relationship between spatial distribution of AOD and wind vectors over the sea surface, the spatial and temporal distribution and variation of AOD were closely related to the wind direction and speed over the East China Sea.},
     year = {2016}
    }
    

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  • TY  - JOUR
    T1  - Spatial and Temporal Variations of Aerosol Optical Depth and Influence Factors over the East China Sea
    AU  - Xiao-shen Zheng
    AU  - Ya-nan Zhang
    AU  - Yue Pan
    Y1  - 2016/05/28
    PY  - 2016
    N1  - https://doi.org/10.11648/j.ijema.20160403.15
    DO  - 10.11648/j.ijema.20160403.15
    T2  - International Journal of Environmental Monitoring and Analysis
    JF  - International Journal of Environmental Monitoring and Analysis
    JO  - International Journal of Environmental Monitoring and Analysis
    SP  - 94
    EP  - 101
    PB  - Science Publishing Group
    SN  - 2328-7667
    UR  - https://doi.org/10.11648/j.ijema.20160403.15
    AB  - Atmospheric aerosols are solid and liquid particles suspended in the air, which has an important effect in macroscopic climate change. The aerosol optical depth (i.e, AOD) is one of the main factors to characterize the composition and the content of the aerosol. This study was conducted over the area of East China Sea (24ºN-41ºN, 117ºE-128ºE) based on the monthly average AOD data and monthly average wind data of 10 meter over sea surface during 2003-2013. The AOD distribution has the annual periodic variation, the AOD values increased significantly from January to March, and reached the maximum 0.133 in March, and the AOD values declined from April to August, and they stabilized around 0.1 in September to December. The trend of seasonal changes indicated that the AOD values were the highest in the spring, and slightly higher in the winter. The AOD values of spring and winter were significantly higher than the summer and the autumn. For time-series variation, the maximum of AOD values during certain periods gradually increase from 2003 to 2009, and the maximum of AOD values during certain periods gradually decrease from 2009 to 2013. Analyzing the relationship between spatial distribution of AOD and wind vectors over the sea surface, the spatial and temporal distribution and variation of AOD were closely related to the wind direction and speed over the East China Sea.
    VL  - 4
    IS  - 3
    ER  - 

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Author Information
  • Tianjin Key Laboratory of Marine Resources and Chemistry, College of Marine and Environmental Science, Tianjin University of Science and Technology, Tianjin, P. R. China

  • Tianjin Key Laboratory of Marine Resources and Chemistry, College of Marine and Environmental Science, Tianjin University of Science and Technology, Tianjin, P. R. China

  • Tianjin Key Laboratory of Marine Resources and Chemistry, College of Marine and Environmental Science, Tianjin University of Science and Technology, Tianjin, P. R. China

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