Evidence map›Paper›PMID 38227264›Full record

ArticleEnvironmental geochemistry and health2024

Experimental study on the influence of water-rock interaction on the time-varying characteristics of coal rock mass.

Zenghui Yang, Shuncai Li, Yu Liu, Nong Zhang

Abstract read
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In one paragraph

Article in Environmental geochemistry and health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
4.0field-weighted citation impact, top 7% of its field
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

2 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
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

4 authors at 2 institutions in 1 country.

Zenghui YangSchool of Mechanical and Electrical Engineering, Jiangsu Normal University, Xuzhou, 221116, Jiangsu, China.
Shuncai LiSchool of Mechanical and Electrical Engineering, Jiangsu Normal University, Xuzhou, 221116, Jiangsu, China. zsclsc@263.net.
Yu LiuSchool of Mechanical and Electrical Engineering, Jiangsu Normal University, Xuzhou, 221116, Jiangsu, China.
Nong ZhangState Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology, Xuzhou, 221116, China.
Jiangsu Normal University · CNChina University of Mining and Technology · CN

Funding

the Key Project of National Natural Science Foundation of China 52034007the National Undergraduate Practice and Innovation Training Program 202110320013Zthe Open Fund Project of the State Key Laboratory of Coal Resources and Safe Mining, CUMT SKLCRSM19KF013
6 · The paper itself

Abstract

In order to study the influence of water-rock interaction on the mass time-varying characteristics of coal rocks, coal was selected as the research object and subjected to chemical immersion tests with different pH aqueous solutions for 12 days. By experiment, the time-varying patterns of mass change fraction in coal samples, pH value in solution, and ions concentration of calcium and magnesium were obtained. Based on the gray correlation theory, the correlation degree between the mass change fraction and four influencing factors was analyzed. The gray prediction models for the mass time-varying characteristics of coal rocks have been established. The research shows that: (1) the influence ways and degree of different pH aqueous solutions on the mass changes of coal rocks are different, (2) during the process of water-rock interaction, the change law of pH value, ions concentration of calcium and magnesium in solution are obvious, (3) the multiple regression models can be used to predict the mass change of coal rocks accurately under water-rock interaction.

Indexed as

CalciumMagnesiumCoalWaterCalciumCoalMagnesiumWaterCoal rockGray correlation degreeGray prediction modelIon concentration of calcium and magnesiumMass change rateWater–rock interaction

Identifiers

PMID38227264
OpenAlexW4390918329

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.