Evidence map›Paper›PMID 41673108›Full record

ArticleScientific reports2026

The significance of structural coal in regional coal and gas outbursts in southern Sichuan Coalfield.

Wenqing Sun, Qihua Zhao, Deguang Cui, Sheqin Peng

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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

4 authors.

Wenqing SunCollege of Environment and Civil Engineering, Chengdu University of Technology, Chengdu, 610059, Sichuan, China. safety_sun@sicnu.edu.cn.
Qihua ZhaoCollege of Environment and Civil Engineering, Chengdu University of Technology, Chengdu, 610059, Sichuan, China.
Deguang CuiXinjiang Uygur Autonomous Region Geological Research Institute, Urumqi, 830001, Xinjiang, China.
Sheqin PengCollege of Environment and Civil Engineering, Chengdu University of Technology, Chengdu, 610059, Sichuan, China.

Funding

Yhe second batch of the "Tianshan Talents" Cultivation Program for Science and Technology Innovation Team Fund Project 2023TSYCTD0001
6 · The paper itself

Abstract

The prediction of coal and gas outburst zones in structurally complex coalfields remains a critical concern globally. Focusing on the southern Sichuan Coalfield, this study systematically analyzes geological factors governing gas accumulation, develops a quantitative model linking structural coal evolution to outburst susceptibility, establishes standardized logging interpretation criteria for structural coal, and completes regional outburst hazard assessment. This work offers practical methodological references for outburst prediction in structurally disturbed coal-bearing areas.The study results indicate that gas outbursts in the southern Sichuan Coalfield are highly severe, with gas content showing a positive correlation with burial depth. Structural controls are pivotal to outburst distribution: gentle-dipping fold limbs and blind fault zones act as high-susceptibility hotspots. structural coal properties exhibit robust statistical correlations with outburst risk: coal firmness coefficient f and composite outburst index K scale with the proportion of structural coal thickness, while outburst intensity follows an exponential growth trend with single-layer structural coal thickness. Zones with single-layer structural coal exceeding 1.1 m are prone to catastrophic outbursts.Using the JGS-6 integrated digital logging system, regional structural coal thickness ranges from 0.19 to 1.72 m, with single-layer structural coal accounting for 10–50% of the total coal seam thickness. The predicted f and K values show minimal deviations from field measurements, and modeled outburst intensities match observed event magnitudes. Spatial zoning identifies the Daxueshan and Baijiao areas as extreme outburst-prone zones, with maximum predicted outburst intensity reaching 8840.06t. Large-scale outbursts are concentrated in the Guanwen and Shiping areas, while the remaining coalfield is dominated by small-scale outburst risk. This study provides data-driven zoning references for targeted gas outburst prevention and control in the southern Sichuan Coalfield.

Indexed as

Coal and gas outburstGas occurrencePredictionSouthern Sichuan CoalfieldStructural coal

Identifiers

PMID41673108
PMCPMC12913724

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.