Evidence map›Paper›PMID 39007325›Full record

ArticleWater science and technology : a journal of the International Association on Water Pollution Research2024

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

Abstract read
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In one paragraph

Article in Water science and technology : a journal of the International Association on Water Pollution Research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Han SongSchool of Earth and Environment, Anhui University of Science and Technology, Huainan 232001, China.
Liangmin GaoSchool of Earth and Environment, Anhui University of Science and Technology, Huainan 232001, China E-mail: lmgao@aust.edu.cn.
Xiaolong LiSchool of Earth and Environment, Anhui University of Science and Technology, Huainan 232001, China.
Kai ZhangSchool of Earth and Environment, Anhui University of Science and Technology, Huainan 232001, China.
Jieyu XiaSchool of Earth and Environment, Anhui University of Science and Technology, Huainan 232001, China.
Xin ShuSchool of Earth and Environment, Anhui University of Science and Technology, Huainan 232001, China.
Lin WuSchool of Earth and Environment, Anhui University of Science and Technology, Huainan 232001, China.

Funding

Anhui Provincial Key Research and Development Plan 202004i07020012
6 · The paper itself

Abstract

This study investigated the characteristics of dissolved organic matter (DOM) in two distinct water bodies, through the utilization of three-dimensional fluorescence spectroscopy coupled with self-organizing map (SOM) methodology. Specifically, this analysis concentrated on neurons 3, 14, and 17 within the SOM model, identifying notable differences in the DOM compositions of a coal subsidence water body (TX) and the MaChang Reservoir (MC). The humic substance content of DOM TX exceeded that of MC. The origin of DOM in TX was primarily linked to agricultural inputs and rainfall runoff, whereas the DOM in MC was associated with human activities, displaying distinctive autochthonous features and heightened biological activity. Principal component analysis revealed that humic substances dominated the DOM in TX, while the natural DOM in MC was primarily autochthonous. Furthermore, a multiple linear regression model (MLR) determined that external pollution was responsible for 99.11% of variation in the humification index (HIX) of water bodies.

Indexed as

Humic SubstancesEnvironmental MonitoringOrganic ChemicalsPrincipal Component AnalysisSpectrometry, FluorescenceWater Pollutants, ChemicalHumic SubstancesOrganic ChemicalsWater Pollutants, Chemicalabsolute principal component-multiple linear regressiondissolved organic matterfluorescence spectroscopymachine learningnon-point source pollutionself-organizing map

Identifiers

PMID39007325

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.