The spectral resolution of DOM in urban rivers affected by different non-point source intensities using self-organizing maps

UV–Vis, three-dimensional excitation–emission matrix fluorescence spectroscopy (EEMs) and a self-organizing map (SOM) were used to study changes in the composition and constituent concentrations of dissolved organic matter (DOM) in the water column of two urban rivers with different non-point source...

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Main Authors: Xincheng Jin, Xiaoqing Chen, Liangmin Gao, Menghang Yuan, Yufan Wu, Hansong Lu, Jiahui Cui, Feiyan Wei
Format: Article
Language:English
Published: IWA Publishing 2023-07-01
Series:Water Science and Technology
Subjects:
Online Access:http://wst.iwaponline.com/content/88/1/266
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author Xincheng Jin
Xiaoqing Chen
Liangmin Gao
Menghang Yuan
Yufan Wu
Hansong Lu
Jiahui Cui
Feiyan Wei
author_facet Xincheng Jin
Xiaoqing Chen
Liangmin Gao
Menghang Yuan
Yufan Wu
Hansong Lu
Jiahui Cui
Feiyan Wei
author_sort Xincheng Jin
collection DOAJ
description UV–Vis, three-dimensional excitation–emission matrix fluorescence spectroscopy (EEMs) and a self-organizing map (SOM) were used to study changes in the composition and constituent concentrations of dissolved organic matter (DOM) in the water column of two urban rivers with different non-point source inputs during spring and summer. The level of humification and the relative molecular mass of DOM were remarkably higher in the summer than in the spring (P < 0.01) in both rivers. The SOM model showed that the fluorescence intensity of the spring component was lower than in summer in water bodies with higher levels of non-point source inputs, while the opposite was true for water bodies with lower levels of non-point source inputs. Principal component analysis (PCA) showed that nutrients like nitrogen and phosphorus promoted autogenous processes in these water bodies. Seasonal variations and differing intensities of non-point source inputs had remarkable effects on urban river waters (R2 = 0.775, P < 0.001). Non-point source inputs increased the concentrations of humus-like fractions and promoted autogenesis in the water bodies. HIGHLIGHTS Investigation of the variation of DOM spectral characteristics of urban rivers.; Application of unsupervised machine learning to spectral resolution.; Impact of seasonal variation on DOM in urban rivers.;
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spelling doaj.art-1ea11c95954c4040bdc59f1fc1db0cc92023-08-10T14:49:54ZengIWA PublishingWater Science and Technology0273-12231996-97322023-07-0188126627710.2166/wst.2023.187187The spectral resolution of DOM in urban rivers affected by different non-point source intensities using self-organizing mapsXincheng Jin0Xiaoqing Chen1Liangmin Gao2Menghang Yuan3Yufan Wu4Hansong Lu5Jiahui Cui6Feiyan Wei7 School of Earth and Environment, Anhui University of Science and Technology, Huainan 232001, China School of Earth and Environment, Anhui University of Science and Technology, Huainan 232001, China School of Earth and Environment, Anhui University of Science and Technology, Huainan 232001, China School of Earth and Environment, Anhui University of Science and Technology, Huainan 232001, China School of Earth and Environment, Anhui University of Science and Technology, Huainan 232001, China School of Earth and Environment, Anhui University of Science and Technology, Huainan 232001, China School of Earth and Environment, Anhui University of Science and Technology, Huainan 232001, China School of Earth and Environment, Anhui University of Science and Technology, Huainan 232001, China UV–Vis, three-dimensional excitation–emission matrix fluorescence spectroscopy (EEMs) and a self-organizing map (SOM) were used to study changes in the composition and constituent concentrations of dissolved organic matter (DOM) in the water column of two urban rivers with different non-point source inputs during spring and summer. The level of humification and the relative molecular mass of DOM were remarkably higher in the summer than in the spring (P < 0.01) in both rivers. The SOM model showed that the fluorescence intensity of the spring component was lower than in summer in water bodies with higher levels of non-point source inputs, while the opposite was true for water bodies with lower levels of non-point source inputs. Principal component analysis (PCA) showed that nutrients like nitrogen and phosphorus promoted autogenous processes in these water bodies. Seasonal variations and differing intensities of non-point source inputs had remarkable effects on urban river waters (R2 = 0.775, P < 0.001). Non-point source inputs increased the concentrations of humus-like fractions and promoted autogenesis in the water bodies. HIGHLIGHTS Investigation of the variation of DOM spectral characteristics of urban rivers.; Application of unsupervised machine learning to spectral resolution.; Impact of seasonal variation on DOM in urban rivers.;http://wst.iwaponline.com/content/88/1/266dissolved organic matterexcitation–emission matrix spectroscopyself-organizing mapurban riversuv–vis
spellingShingle Xincheng Jin
Xiaoqing Chen
Liangmin Gao
Menghang Yuan
Yufan Wu
Hansong Lu
Jiahui Cui
Feiyan Wei
The spectral resolution of DOM in urban rivers affected by different non-point source intensities using self-organizing maps
Water Science and Technology
dissolved organic matter
excitation–emission matrix spectroscopy
self-organizing map
urban rivers
uv–vis
title The spectral resolution of DOM in urban rivers affected by different non-point source intensities using self-organizing maps
title_full The spectral resolution of DOM in urban rivers affected by different non-point source intensities using self-organizing maps
title_fullStr The spectral resolution of DOM in urban rivers affected by different non-point source intensities using self-organizing maps
title_full_unstemmed The spectral resolution of DOM in urban rivers affected by different non-point source intensities using self-organizing maps
title_short The spectral resolution of DOM in urban rivers affected by different non-point source intensities using self-organizing maps
title_sort spectral resolution of dom in urban rivers affected by different non point source intensities using self organizing maps
topic dissolved organic matter
excitation–emission matrix spectroscopy
self-organizing map
urban rivers
uv–vis
url http://wst.iwaponline.com/content/88/1/266
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