With the rapid development of the economy in recent years, massive algal (blue-green algae in particular) blooms have often observed in Chinese eutrophic lakes. The concentration of the cyanobacterial pigment phycocyanin (PC), an accessory pigment unique to freshwater blue-green algae, is often used as a quantitative indicator of blue-green algae in eutrophic inland waters. The purpose of this study was to evaluate the semi-analytic PC retrieval algorithm proposed by Simis et al. and to explore the potential to improve this PC algorithm so that it is more suitable for eutrophic lakes, such as Taihu Lake: In this paper, we recalculated the correction coefficients gamma and delta to calculate the absorptions of chlorophyll-a at 665 nm and the absorptions of phycocyanin at 620 nm in terms of in situ measurements and observed that the values of these coefficients differed from the values used by Simis et al. and Randolph et al. The two coefficients are site dependent due to the different bio-optical properties of lakes. We also observed that the specific PC absorption at 620 nm a(pc)*(620) decreases exponentially with an increase in PC concentrations. Therefore, a non-linear power-function of a(pc)*(620), instead of a constant value of a(pc)*(620) as used by Simis et at, was proposed for our improved PC retrieval algorithm in Taihu Lake, yielding a squared correlation coefficient (R-2) of 0.55 and a root mean square error (RMSE) of 58.89 mu g/L. Compared with the original PC retrieval algorithm by Simis et al., the improved retrieval algorithm has generally superior performance. In evaluating the limitation of the PC retrieval algorithms, we observed that the ratio of the total suspended solids to phycocyanin can be used as a primary measure for retrieval performance. Validation in Dianchi Lake and an error analysis proved that the improved PC algorithm has a better universality and is more suitable for eutrophic lakes with higher PC concentrations. (C) 2013 Elsevier B.V. All rights reserved.
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Hong Kong Polytech Univ, Dept Land Survey & Geoinformat, Hong Kong, Peoples R China
Hubei Water Resources Res Inst, Hubei Soil & Water Conservat Engn Res Ctr, Wuhan 430070, Peoples R ChinaHong Kong Polytech Univ, Dept Land Survey & Geoinformat, Hong Kong, Peoples R China
Zhang, Xiaokang
Shi, Wenzhong
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Hong Kong Polytech Univ, Dept Land Survey & Geoinformat, Hong Kong, Peoples R ChinaHong Kong Polytech Univ, Dept Land Survey & Geoinformat, Hong Kong, Peoples R China
Shi, Wenzhong
Lv, Zhiyong
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XiAn Univ Technol, Sch Comp Sci & Engn, Xian 710048, Peoples R ChinaHong Kong Polytech Univ, Dept Land Survey & Geoinformat, Hong Kong, Peoples R China
Lv, Zhiyong
Peng, Feifei
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Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Peoples R ChinaHong Kong Polytech Univ, Dept Land Survey & Geoinformat, Hong Kong, Peoples R China