Volume 7 Issue 1
Jan.  2014
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Dong-xing FAN, Yu-ling HUANG, Lin-xu SONG, De-fu LIU, Ge ZHANG, Biao ZHANG. 2014: Prediction of chlorophyll-a concentration by HJ-1 satellite imagery for Xiangxi Bay in Three Gorges Reservoir. Water Science and Engineering, 7(1): 70-80. doi: 10.3882/j.issn.1674-2370.2014.01.008
Citation: Dong-xing FAN, Yu-ling HUANG, Lin-xu SONG, De-fu LIU, Ge ZHANG, Biao ZHANG. 2014: Prediction of chlorophyll-a concentration by HJ-1 satellite imagery for Xiangxi Bay in Three Gorges Reservoir. Water Science and Engineering, 7(1): 70-80. doi: 10.3882/j.issn.1674-2370.2014.01.008
shu

Prediction of chlorophyll-a concentration by HJ-1 satellite imagery for Xiangxi Bay in Three Gorges Reservoir

doi: 10.3882/j.issn.1674-2370.2014.01.008
  • 1.

    College of Hydraulic and Environmental Engineering, China Three Gorges University,Yichang 443002, P. R. China

  • 2.

    College of Resources and Environment Sciences, Hubei University of Technology, Wuhan 430068, P. R. China

Funds:  This work was supported by the National Natural Science Foundation of China (Grants No. 51009080 and 51179095) and the Research Innovation Fund for Postgraduates in China Three Gorges University (Grant No. 2012CX012).
  • Received Date: 2012-08-14
  • Rev Recd Date: 2013-02-28
    Abstract
  • Since the impoundment of the Three Gorges Reservoir in 2003, algal blooms have frequently been observed in it. The chlorophyll a concentration is an important parameter for evaluating algal blooms. In this study, the chlorophyll a concentration in Xiangxi Bay, in the Three Gorges Reservoir, was predicted using HJ-1 satellite imagery. Several models were established based on a correlation analysis between in situ measurements of the chlorophyll a concentration and the values obtained from satellite images of the study area from January 2010 to December 2011. Chlorophyll a concentrations in Xiangxi Bay were predicted based on the established models. The results show that the maximum correlation is between the reflectance of the band combination of B4/(B2+B3) and in situ measurements of chlorophyll a concentration. The root mean square errors of the predicted values using the linear and quadratic models are 18.49 mg/m3 and 18.52 mg/m3, respectively, and the average relative errors are 37.79% and 36.79%, respectively. The results provide a reference for water bloom prediction in typical tributaries of the Three Gorges Reservoir and contribute to large-scale remote sensing monitoring and water quality management.

     

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