Evidence map›Paper›PMID 30022392›Full record

ArticleEnvironmental science and pollution research international2018

Microscale dispersion behaviors of dust particles during coal cutting at large-height mining face.

Yao Xie, Weimin Cheng, Haiming Yu, Biao Sun

Abstract readValidation Study
PubMed Publisher
In one paragraph

Article in Environmental science and pollution research international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Investigation on the dust migration behavior and safety zone in the fully mechanized mining face.Environmental science and pollution research international · 2021
    Article
  4. 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.

Yao XieCollege of Mining and Safety Engineering, Shandong University of Science and Technology, Qingdao, 266590, China.
Weimin ChengCollege of Mining and Safety Engineering, Shandong University of Science and Technology, Qingdao, 266590, China. skdwmc@163.com.
Haiming YuCollege of Mining and Safety Engineering, Shandong University of Science and Technology, Qingdao, 266590, China.
Biao SunCollege of Mining and Safety Engineering, Shandong University of Science and Technology, Qingdao, 266590, China.

Funding

State Key Program of National Natural Science of China U1261205Sub Project of National Key Research & Development Program 2017YFC0805202the Key Research and Development Program of Shandong Province 2016GSF120002the Outstanding Youth Fund Project of Provincial Universities in Shandong Province ZR2017JL026the Qingdao City Science and Technology Project 16-6-2-52-nsh
6 · The paper itself

Abstract

In order to ensure safe production and occupational health at a large-mining-height fully mechanized mining face in a coal mine, the present study firstly establishes an airflow-dust coupled model based on gas/solid two-phase flow equations and combines numerical simulation and field measurement for analyzing the dispersion pattern of dust particles with various sizes for different coal cutter locations. Results show that, due to the existence of drums, airflow deviates from the original direction and enters the footway. Driven by the airflow, dust particles enter the footway at different locations depending on coal cutter locations. The coal-cutting location (denoted as P

Indexed as

Air MovementsCoal MiningModels, TheoreticalCoalComputer SimulationDustHumansOccupational ExposureOccupational HealthCoalDustCutting locationDispersion patternsDust sizesFully mechanized mining faceLarge mining height

Identifiers

PMID30022392

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.