Evidence map›Paper›PMID 40307967›Full record

ArticleWater science and technology : a journal of the International Association on Water Pollution Research2025

Coupled exponential smoothing and gray model for water quality prediction in the Guo River, China.

Manting Shang, Jiaao Huang, Peigui Liu, Jingjing Gao, Jiaxuan Li

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, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Manting ShangCollege of Civil Engineering, Hefei University of Technology, Hefei 230009, China.
Jiaao HuangCollege of Civil Engineering, Hefei University of Technology, Hefei 230009, China.
Peigui LiuCollege of Civil Engineering, Hefei University of Technology, Hefei 230009, China E-mail: liupg@hfut.edu.cn.ORCID https://orcid.org/0000-0003-2343-6512
Jingjing GaoCollege of Civil Engineering, Hefei University of Technology, Hefei 230009, China.
Jiaxuan LiCollege of Civil Engineering, Hefei University of Technology, Hefei 230009, China.

Funding

Anhui Provincial Natural Science Foundation 2208085US07Anhui Provincial Natural Science Foundation 2408085MD093
6 · The paper itself

Abstract

To address the issue of poor prediction accuracy and performance caused by the influence of the original data sequence on the first-order single-variable gray model (GM(1,1)), this study proposes an exponential smoothing gray model (ESGM(1,1)). Taking the Anliu Station situated at the border between Henan and Anhui provinces as an example, ammonia nitrogen and the permanganate index were selected for water quality prediction using the GM(1,1) and ESGM(1,1) models from 2010 to 2021. The fitting accuracy of these models is evaluated by comparing the computed values with the actual monitored water quality index values. The results reveal that the average relative percentage error in the simulation period decreased by 3.01% compared with GM(1,1) and further decreased by 27.41% during the verification period. The mean square error ratio

Indexed as

Environmental MonitoringModels, TheoreticalRiversWater QualityChinaWater Pollutants, ChemicalWater Pollutants, Chemical1)ESGM(1exponential smoothingGM(1Guo Riverwater quality prediction

Identifiers

PMID40307967

What OpenQuestion holds

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Registered trials

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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.