• Acta Optica Sinica
  • Vol. 37, Issue 7, 730003 (2017)
Wang Juan1、2, Zhang Fei1、2、3, Wang Xiaoping1、2, Yang Shengtian1、4, and Chen Yun5
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
  • 4[in Chinese]
  • 5[in Chinese]
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    DOI: 10.3788/aos201737.0730003 Cite this Article Set citation alerts
    Wang Juan, Zhang Fei, Wang Xiaoping, Yang Shengtian, Chen Yun. Three-Dimensional Fluorescence Characteristics by Parallel Factor Method Coupled with Self-Organizing Map and Its Relationship with Water Quality[J]. Acta Optica Sinica, 2017, 37(7): 730003 Copy Citation Text show less
    References

    [1] Du Shuxin, Du Yangfeng, Wu Xiaoli. Detection of dissolved organic matter based on three-dimensional first-order derivative fluorescence spectrometry[J]. Spectroscopy and Spectral Analysis, 2010, 30(12): 3268-3271.

    [2] Bellos D, Sawidis T, Tsekos I. Nutrient chemistry of River Pinios (Thessalia, Greece)[J]. Environment International, 2004, 30(1): 105-115.

    [3] Zhang Y, Liang X, Wang Z, et al. A novel approach combining self-organizing map and parallel factor analysis for monitoring water quality of watersheds under non-point source pollution[J]. Scientific Reports, 2015, 5(3): 16079.

    [4] Lai Bo, Zhou Yuexi, Dou Lianfeng, et al. Variation trend of three-dimensional fluorescence characteristics of aromatic organic pollutants in the ABS wastewater treatment process[J]. Acta Optica Sinica, 2011, 31(1): 0130001.

    [5] Xi Liuhua, Chen Guoqing, Zhu Zhuowei, et al. Determination of vintages of sesame flavor liquors by three-dimensional fluorescence spectroscopy[J]. Laser & Optoelectronics Progress, 2016, 53(12): 123002.

    [6] Stedmon C A, Seredyńska-Sobecka B, Boe-Hansen R, et al. A potential approach for monitoring drinking water quality from groundwater systems using organic matter fluorescence as an early warning for contamination events[J]. Water Research, 2011, 45(18): 6030-6038.

    [7] Bieroza M, Baker A, Bridgeman J. Relating freshwater organic matter fluorescence to organic carbon removal efficiency in drinking water treatment[J]. Science of the Total Environment, 2009, 407(5): 1765-1774.

    [8] Murphy K R, Hambly A, Singh S, et al. Organic matter fluorescence in municipal water recycling schemes: toward a unified PARAFAC model[J]. Environmental Science and Technology, 2011, 45(7): 2909-2916.

    [9] Yu Huibin, Song Yonghui, Tu Xiang, et al. Assessing removal efficiency of dissolved organic matter in wastewater treatment using fluorescence excitation emission matrices with parallel factor analysis and second derivative synchronous fluorescence[J]. Bioresource Technology, 2013, 144: 595-601.

    [10] Hudson N, Baker A, Ward D, et al. Can fluorescence spectrometry be used as a surrogate for the biochemical oxygen demand (BOD) test in water quality assessment An example from South West England[J]. Science of the Total Environment, 2008, 391(1): 149-158.

    [11] Liu Yanfang, Su Rongguo, Zhou Qianqian, et al. Rapid modeling offshore eutrophication technique using optical parameters of CDOM[J]. Chinese J Lasers, 2014, 41(12): 1215001.

    [12] Baghoth S A, Sharma S K, Amy G L. Tracking natural organic matter (NOM) in a drinking water treatment plant using fluorescence excitation-emission matrices and PARAFAC[J]. Water Research, 2011, 45(2): 797-809.

    [13] Kohonen T. Self-organizing maps[M]. 3rd ed. Berlin: Springer, 2001.

    [14] Kohonen T. Essentials of the self-organizing map[J]. Neural Networks, 2013, 37: 52-65.

    [15] Zhou P, Huang J, Pontius R G, et al. New insight into the correlations between land use and water quality in a coastal watershed of China: Does point source pollution weaken it [J]. Science of the Total Environment, 2016, 543: 591-600.

    [16] Kalteh A M, Hjorth P, Berndtsson R. Review of the self-organizing map (SOM) approach in water resources: Analysis, modelling and application[J]. Environmental Modelling and Software, 2008, 23(7): 835-845.

    [17] Céréghino R, Park Y S. Review of theSelf-Organizing Map (SOM) approach in water resources: Commentary[J]. Environmental Modelling and Software, 2009, 24(8): 945-947.

    [18] Chon T S. Self-Organizing Maps applied to ecological sciences[J]. Ecological Informatics, 2011, 6(1): 50-61.

    [19] Li Wei, Yao Xiaoyan, Liang Zhiwei, et al. Assessment of surface water quality using self-organizing map and Hasse diagram technique[J]. Acta Scientiae Circumstantiae, 2013, 33(3): 893-903.

    [20] Zhang F, Tiyip T, Johnson V C, et al. The influence of natural and human factors in the shrinking of the Ebinur Lake, Xinjiang, China, during the 1972-2013 period[J]. Environmental Monitoring and Assessment, 2015, 187(1): 4128.

    [21] Jilil Abduvali, Mu Guijin. Analysis on the dust storms and their disasters in the lakebed region of Ebinur Lake, Xinjiang[J]. Arid Land Geography, 2002, 25(2): 149-154.

    [22] Cui Y, Wu Q, Yang M, et al. Three-dimensional excitation-emission matrix fluorescence spectroscopy and fractions of dissolved organic matter change in landfill leachate by biological treatment[J]. Environmental Science and Pollution Research, 2016, 23(1): 793-799.

    [23] Stedmon C A, Bro R. Characterizing dissolved organic matter fluorescence with parallel factor analysis: A tutorial[J]. Limnology and Oceanography Methods, 2008, 6(11): 572-579.

    [24] Zhang S, Chen Z, Wen Q, et al. Assessing the stability in composting of penicillin mycelial dreg via parallel factor (PARAFAC) analysis of fluorescence excitation-emission matrix (EEM)[J]. Chemical Engineering Journal, 2016, 299: 167-176.

    [25] Li Juan, Hao Zhigang. Tourism planning based on Google Earth virtual earth platform[J]. Remote Sensing for Land and Resources, 2010, 22(1): 130-133.

    [26] Gao Jie, Jiang Tao, Li Lulu, et al. Ultraviolet-visible (UV-Vis) and fluorescence spectral characteristics of dissolved organic matter (DOM) in soils of water-level fluctuation zones of the Three Gorges Reservoir Region[J]. Environmental Science, 2015, 36(1): 151-162.

    [27] Yu G H, He P J, Shao L M. Novel insights into sludge dewater ability by fluorescence excitation-emission matrix combined with parallel factor analysis[J]. Water Research, 2010, 44(3): 797-806.

    [28] Liu Xiaohan, Zhang Yunlin, Yin Yan, et al. Application of three-dimensional fluorescence spectroscopy and parallel factor analysis in CDOM study[J]. Transactions of Oceanology and Limnology, 2012(3): 133-145.

    [29] Song Xiaona, Yu Tao, Zhang Yuan, et al. Distribution characterization and source analysis of dissolved organic matters in Taihu Lake using a three-dimensional fluorescence excitation-emission matrix[J]. Acta Scientiae Circumstantiae, 2010, 30(11): 2321-2331.

    [30] Li Haibo, Sun Chen, Liu Xiaoling, et al. Assessing organic matter removal from municipal wastewater by excitation-emission matrix fluorescence[J]. China Environmental Science, 2016, 36(8): 2371-2379.

    [31] Zhang Y, van Dijk M A, Liu M, et al. The contribution of phytoplankton degradation to chromophoric dissolved organic matter (CDOM) in eutrophic shallow lakes: Field and experimental evidence[J]. Water Research, 2009, 43(18): 4685-4697.

    [32] Rochelle-Newall E J, Fisher T R. Production of chromophoric dissolved organic matter fluorescence in marine and estuarine environments: an investigation into the role of phytoplankton[J]. Marine Chemistry, 2002, 77(1): 7-21.

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    Wang Juan, Zhang Fei, Wang Xiaoping, Yang Shengtian, Chen Yun. Three-Dimensional Fluorescence Characteristics by Parallel Factor Method Coupled with Self-Organizing Map and Its Relationship with Water Quality[J]. Acta Optica Sinica, 2017, 37(7): 730003
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