ORIGINAL RESEARCH
Spectral Characteristic Changes of Dissolved Organic Matter in Aquatic Systems Under the Influences of Agriculture and Coal Mining
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1
School of Earth and Environment, Anhui University of Science and Technology, Huainan, China
 
2
Environmental Protection Monitoring Station of Huainan city, Huainan, China
 
 
Submission date: 2021-09-02
 
 
Final revision date: 2021-12-02
 
 
Acceptance date: 2021-12-07
 
 
Online publication date: 2022-03-23
 
 
Publication date: 2022-05-05
 
 
Corresponding author
Liangmin Gao   

School of Earth and Environment, Anhui University of Science and Technology, Huainan, China
 
 
Pol. J. Environ. Stud. 2022;31(3):2549-2561
 
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ABSTRACT
Under the combined influence of various factors, the dissolved organic matter (DOM) in the drainage basin presents complex variation characteristics. In this study, we investigated the spectral characteristics of DOM in the middle reach of the Huai River aquatic systems under the influence of complex conditions (i.e., agricultural nonpoint pollution, coal mining activities, photovoltaics on the water surface, and rural sewage). In addition to the general water quality indices, ultraviolet-visible (UV-Vis) absorption spectroscopy, the excitation-emission matrix spectroscopy (EEMs) combined with the parallel factor analysis (PARAFAC), the fluorescence regional integration (FRI), and the fluorescence indices were used to describe the spectral characteristics of DOM. The results show that agricultural non-point source input from agricultural activities deteriorates water quality, but the coal mining activities weaken the agricultural non-point pollution intensity (i.e., occupy farmland, and subsidence area collected agricultural runoff). The PARAFAC model was composed of the following three chemical components: fulvic-like (C1), humic-like (C2), and tryptophan-like (C3). The results of PRAFAC and FRI indicated that the photovoltaic industry significantly influenced the properties of DOM in the aquatic systems by slowing the photochemical reactions. The principal component analysis (PCA) and Adonis test showed that under different influencing conditions, the aquatic systems within the four study areas showed significant differences. Spectral characteristics of DOM can sensitively indicate water distinction. It is of practical significance to monitor the change characteristics of DOM in a minor watershed under complex influencing factors by spectroscopy.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
 
CITATIONS (6):
1.
Fluorescence Analysis of River DOM Spectra Using PARAFAC in Combination with a Self-Organizing Map to Distinguish Organic Matter Sources
Xincheng Jin, Xiaoqing Chen, Liangmin Gao, Yufan Wu, Hansong Lu, Menghang Yuan, Jiahui Cui, Feiyan Wei
International Journal of Environmental Research
 
2.
A self-organizing map approach to the analysis of lake DOM fluorescence for differentiation of organic matter sources
Xincheng Jin, Xiaoqing Chen, Liangmin Gao, Xudong Chen, Juan Ge, Feiyan Wei, Hansong Lu, Yufan Wu, Jiahui Cui, Menghang Yuan
Environmental Science and Pollution Research
 
3.
Novel insights into antimony mobilization in different high- antimony aquifers from the molecular signatures of dissolved organic matter
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Ecotoxicology and Environmental Safety
 
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How Do Zooplankton Communities Respond to Environmental Factors across the Subsidence Wetlands Created by Underground Coal Mining in the North China Plain?
Yue Liang, Jianjun Huo, Weiqiang Li, Yutao Wang, Guangyao Wang, Chunlin Li
Diversity
 
5.
The use of the self-organizing map (SOM) methodology to study the dissolved organic matter (DOM) in different water body types
Han Song, Liangmin Gao, Xiaolong Li, Kai Zhang, Jieyu Xia, Xin Shu, Lin Wu
Water Science & Technology
 
6.
From Protein-Like to Humic-Like Substances: Feed-Derived Regulation of Dissolved Organic Matter Transformation in RAS
Ying Bai, Ruijie Ma, Zhengguo Cui, Hao Li, Hongwu Cui, Yong Xu, Jianlei Chen, Keming Qu
Aquacultural Engineering
 
eISSN:2083-5906
ISSN:1230-1485
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