ORIGINAL RESEARCH
Evaluating CDOM Sources Using
Excitation-Emission Matrix Fluorescence
and Parallel Factor Analysis, and their Links
to Water Quality in Highly Polluted Rivers
in China
| 1 | School of Environment, Institute of Natural Disaster Research, Northeast Normal University, Changchun, China |
| 2 | Key Laboratory for Vegetation Ecology, Ministry of Education, Changchun, China |
| 3 | State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration,
Northeast Normal University, Changchun, China |
| 4 | School of Life Science, Institute of Grass Science, Northeast Normal University, Changchun, China |
CORRESPONDING AUTHOR
Submission date: 2018-01-15
Final revision date: 2018-02-23
Acceptance date: 2018-02-28
Online publication date: 2018-11-14
Publication date: 2019-01-28
Pol. J. Environ. Stud. 2019;28(3):1203–1214
KEYWORDS
chromophoric dissolved organic matterfluorescencePARAFACwater quality parametersexcitation-emission matrix
TOPICS
ABSTRACT
Chromophoric dissolved organic matter (CDOM) is a valuable optically active substance. This study
examined the seasonal characteristics of fluorescent CDOM components in the Yinma and Songhua
rivers, highly polluted watershed tributaries of the Songhua River, and a drinking water source for
the city of Changchun, China. Parallel factor analysis (PARAFAC) and excitation-emission matrix
(EEM) spectra were used to assess CDOM fluorescence. Four components attributed to CDOM in 51
water samples were identified: three were humic-like (C1, C3, and C4) and one was protein-like (C2).
The average fluorescence intensities of the four components showed seasonal variation from May to
November 2016. A positive linear correlation was found between components C3 and C4 (R = 0.86,
p<0.001). The results from this investigation demonstrated that the frequency of rainfall and human
activities may be the main factors influencing the quantity and quality of CDOM in samples collected
from the watershed, and that the Yinma and Yitong rivers were polluted by terrestrial and agricultural
pollution. Furthermore, the utility of combining EEM fluorescence and PARAFAC to study CDOM
dynamics for different seasons and to quantify CDOM components for similar environmental (water
quality) conditions was established.
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