Environmental Earth Sciences

, Volume 73, Issue 8, pp 4063–4075 | Cite as

Spatial and temporal variations of chlorophyll-a concentration from 2009 to 2012 in Poyang Lake, China

  • Juanle WangEmail author
  • Yongjie Zhang
  • Fei Yang
  • Xiaoming Cao
  • Zhongqiang Bai
  • Junxiang Zhu
  • Eryang Chen
  • Yifan Li
  • Yingying Ran
Original Article


Water eutrophication in Poyang Lake, the largest freshwater lake in China, has been considered to be an obstacle to aquatic environment protection and regional sustainable development. Chlorophyll-a concentration is one of the most important indices of water eutrophication. This paper builds seasonal chlorophyll-a concentration retrieval models using a semi-analytical model. Quarterly distributions of chlorophyll-a concentration from 2009 to 2012 are explored using multi-spectra data from a moderate-resolution imaging spectroradiometer (MODIS). The correlation coefficient of the retrieval models primarily ranged from 0.6 to 0.9. The results show that the chlorophyll-a concentration in Poyang Lake has significant seasonality characteristics that present low values in the winter and spring, and present relatively high values in the summer and autumn; this report also presents an obvious, increasing trend of inter-annual variability from 2009 to 2012. The spatial distribution of the chlorophyll-a concentration has regional differences that give relatively high values adjacent to the shore in the north area of Poyang Lake, in the flow in river entries, and in the main channel area in the central and south areas of Poyang Lake. The natural hydrology features have a close relationship with the variation in the chlorophyll-a concentration. Intensive human activities are the main driving forces for the increasing chlorophyll-a concentration.


Water color remote sensing Retrieval model Chlorophyll-a concentration Spectral analysis Remote-sensing inversion Poyang Lake 



Special thanks are due to the Lake Poyang Laboratory for Wetland Ecosystem Research (PLWER) for providing the foundation for the experiment. We are grateful to Prof. Yuwei Chen and Dr. Lu Zhang for their help with field work preparation and for providing a portion of the data for this study. This study was financially supported by the Chinese Industry Public Welfare Scientific Research Program on environmental protection field (grant 201109075), Science & Technology Basic Research Program of China (2011FY110400), and the Chinese Academy of Sciences Informatization Scientific Research Program (grant XXH12504-1-01). We also thank the anonymous reviewers for their detailed comments and suggestions.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Juanle Wang
    • 1
    Email author
  • Yongjie Zhang
    • 1
  • Fei Yang
    • 1
  • Xiaoming Cao
    • 2
  • Zhongqiang Bai
    • 1
  • Junxiang Zhu
    • 1
  • Eryang Chen
    • 1
  • Yifan Li
    • 1
  • Yingying Ran
    • 3
  1. 1.State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijingChina
  2. 2.Institute of Desertification StudiesChinese Academy of ForestryBeijingChina
  3. 3.Tianjin Land Resources and House Vocational CollegeTianjinChina

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