Evidence map›Paper›PMID 41304537›Full record

ArticleToxics2025

Improved Assessment and Prediction of Groundwater Drinking Quality Integrating Game Theory and Machine Learning in the Nyangchu River Basin, Southwestern Qinghai-Tibet Plateau.

Xun Huang, Xiyong Wu, Weiting Liu, Denghui Wei, Ying Wang, Hua Wu, Yangshuang Wang, Boyi Zhu, Qili Hu, Yunhui Zhang and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Toxics, 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

11 authors.

Xun HuangFaculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu 611756, China.ORCID 0000-0003-0652-8757
Xiyong WuFaculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu 611756, China.
Weiting LiuFaculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu 611756, China.
Denghui WeiFaculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu 611756, China.
Ying WangFaculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu 611756, China.
Hua WuCollege of Engineering, Tibet University, Lhasa 850000, China.
Yangshuang WangFaculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu 611756, China.
Boyi ZhuFaculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu 611756, China.ORCID 0009-0008-8586-0486
Qili HuSchool of Chemical and Environmental Engineering, Sichuan University of Science & Engineering, Zigong 643000, China.ORCID 0000-0002-7816-6874
Yunhui ZhangFaculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu 611756, China.ORCID 0000-0001-9833-2908
Wei WangThe 1st Geological Brigade of Sichuan, Chengdu 610032, China.ORCID 0009-0001-6313-5346

Funding

Sichuan Province Science and Technology program 2025YFHZ0269, 2025ZNSFSC0307Sichuan Transportation Science and Technology program 2023-B-15Yibin City Science and Technology program YBSCXY2023020006, YBSCXY2023020007
6 · The paper itself

Abstract

To address the limitations of traditional groundwater quality assessment and prediction methods, this study integrates game theory and machine learning to investigate the drinking quality of groundwater in the southwestern Qinghai-Tibet Plateau. The results showed that the groundwater in the study area is generally weakly alkaline (mean pH: 8.08) and dominated by freshwater (mean TDS: 302.58 mg/L), with hardness levels mostly ranging from soft to medium. Major cations follow the concentration order: Ca

Indexed as

game theorygroundwater quality predictionhydrochemical analysismachine learning

Identifiers

PMID41304537
PMCPMC12656682

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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.