Evidence map›Paper›PMID 41318667›Full record

ArticleScientific reports2025

Multi-criteria decision analysis of gas enrichment risk and land degradation in goaf areas.

Lu Wang, Yibo Li, Yuhui Lei

Abstract read
In one paragraph

Article in Scientific reports, 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
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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

The trial behind it

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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

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

3 authors.

Lu WangCollege of IoT Technology, Zhengzhou Urban Construction Vocational College, Zhengzhou, 451200, China.
Yibo LiCollege of IoT Technology, Zhengzhou Urban Construction Vocational College, Zhengzhou, 451200, China. 15638816767@163.com.
Yuhui LeiZhongyuan Institute of Science and Technology, Xuchang, 461100, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gas enrichment in goaf areas significantly threatens mine safety and surface environmental stability, particularly under top-cutting and pressure-relief mining methods. This study proposes a comprehensive multi-criteria decision-making framework that configures the Analytic Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to evaluate a coupled gas enrichment-land degradation risk in goaf areas under top-cutting and pressure-relief mining. Five main criteria, geological conditions, mining parameters, ventilation characteristics, gas emission rates, and ecological vulnerability, were assessed through expert judgment and field data. AHP was used to derive criterion weights, with fault density (11.5%) and coal seam gas content (10.2%) identified as key sub-factors. TOPSIS analysis ranked six goaf zones, identifying G5 as the lowest-risk (C

Indexed as

AHP-TOPSISGas enrichmentGoaf areasLand degradationRisk assessment

Identifiers

PMID41318667
PMCPMC12780022

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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.