[1] [1] Y P Li, C Y Tang, Z B Yu, et al.. Correlations between algae and water quality: factors driving eutrophication in Lake Taihu, China [J]. Int J Environ Sci Technol, 2014, 11(1): 169-182.

[2] [2] Liu Jing, Liu Wenqing, Zhao Nanjing, et al.. Phytoplankton chlorophyll fluorescence characteristics excited by various light qualities and intensities [J]. Acta Optica Sinica, 2013, 33(9): 0930001.

[3] [3] Wang Zhigang, Liu Wenqing, Zhang Yujun, et al.. The classified measuring of three dimensional excitation-emission fluorescence matrix technique on phytoplankton concentration in water body [J]. China Environmental Science, 2008, 28(2): 136-141.

[4] [4] Wang Zhigang, Liu Wenqing, Zhang Yujun, et al.. The phytoplankton classified measure based on excitation fluorescence spectra technique [J]. China Environmental Science, 2008, 28(4): 329-333.

[5] [5] L Mhlanga, W Mhlanga, P Tendaupenyu. Response of phytoplankton assemblages isolated for short periods of time in a hyper-eutrophic reservoir (Lake Chivero, Zimbabwe) [J]. Water SA, 2014, 40(1): 157-164.

[6] [6] Duan Yali, Su Rongguo, Shi Xiaoyong, et al.. Differentiation of phytoplankton populations by in vivo fluorescence based on high-frequency component of wavelet [J]. Chinese J Lasers, 2012, 39(7): 0715003.

[7] [7] R Leardi. Genetic algorithms in chemometrics and chemistry: a review [J]. Journal of Chemometrics, 2001, 15(7): 559-569.

[8] [8] Zhao Jiewen, Hui Zhe, Huang Lin, et al.. Quantitative detection of TVB-N content in chicken meat with hyperspectral imaging technology [J]. Laser & Optoelectronics Progress, 2013, 50(7): 073003.

[9] [9] M Shamsipur, V Zare-Shahabadi, B Hemmateenejad, et al.. Ant colony optimisation: a powerful tool for wavelength selection [J]. Journal of Chemometrics, 2006, 20(3-4): 146-157.

[10] [10] M Zhang, S Zhang, J Iqbal. Key wavelengths selection from near infrared spectra using Monte Carlo sampling-recursive partial least squares [J]. Chemometrics and Intelligent Laboratory Systems, 2013, 128: 17-24.

[11] [11] W Cai, Y Li, X Shao. A variable selection method based on uninformative variable elimination for multivariate calibration of near-infrared spectra [J]. Chemometrics and Intelligent Laboratory Systems, 2008, 90(2): 188-194.

[12] [12] Han Qingjuan. New Chemometric Algorithms and Their Application Studies for Multiway Spectroscopy data[D]. Changsha: Hunan University, 2008.

[13] [13] J Zhou, J J Wang, A Baudon, et al.. Improved fluorescence excitation-emission matrix regional integration to quantify spectra for fluorescent dissolved organic matter [J]. Journal of Environmental Quality, 2013, 42(3): 925-930.

[14] [14] Du Shuxin, Du Yangfeng, Yuan Zhibao. Characteristic region selection methods for three-dimensional fluorescence spectrometry [J]. Chinese Journal of Luminescence, 2012, 33(3): 341-345.

[15] [15] V Esposito Vinzi, W W Chin, J Henseler, et al.. Handbook of Partial Least Squares: Concepts, Methods and Applications [M]. Heidelberg, Dordecht, London, New York: Springer, 2010.

[16] [16] V Centner, D L Massart, O E de Noord, et al.. Elimination of uninformative variables for multivariate calibration [J]. Analytical Chemistry, 1996, 68(21): 3851-3858.

[17] [17] W Cai, Y Li, X Shao. A variable selection method based on uninformative variable elimination for multivariate calibration of near-infrared spectra [J]. Chemometrics and Intelligent Laboratory Systems, 2008, 90(2): 188-194.

[18] [18] M Beutler. Spectral Fluorescence of Chlorophyll and Phycobilins as an In-Situ Tool of Phytoplankton Analysis-Models, Algorithms and Instruments [D]. Kile: Kile University, 2003.