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Numerical Simulation of Particulate Matter 2.5 Distribution in a Roadway
Large amounts of dust particles pose serious hazards to the health and safety of China’s coal miners during roadway blasting processes. It is known that among these dust particles, Particulate Matter 2.5 (PM(2.5)) does the greatest amount of harm. In order to study the distributions of the PM(2.5) i...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6125306/ https://www.ncbi.nlm.nih.gov/pubmed/30185917 http://dx.doi.org/10.1038/s41598-018-31419-0 |
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author | Feng, Guorui Liao, Qi Hu, Shengyong |
author_facet | Feng, Guorui Liao, Qi Hu, Shengyong |
author_sort | Feng, Guorui |
collection | PubMed |
description | Large amounts of dust particles pose serious hazards to the health and safety of China’s coal miners during roadway blasting processes. It is known that among these dust particles, Particulate Matter 2.5 (PM(2.5)) does the greatest amount of harm. In order to study the distributions of the PM(2.5) in roadway blasting processes, a mathematical model of the gas-solid two-phase flow was established in this study, which was based on a Direct Simulation Monte Carlo Method (DSMC). Then, a multiphase flow program was developed. This study’s results indicated that following the blasting processes, fine dust particles gradually floated up and were suspended for long durations in the underground roadway space. The medium-sized dust particles slowly sink to the ground and were eventually expelled before settling to the floor of the roadway. The coarse particles were rapidly settled to the roadway floor. It was determined that the PM(2.5) particles in the front end of the dust group could not be quickly diluted, and the concentrations were high until it is expelled from the roadway, whereas the PM(2.5) dust particles in the back end of the underground roadway were found to be gradually diluted. Eventually, the PM(2.5) concentrations exhibited an alternating thin to dense phase distribution. When compared with the Particulate Matter 5 (PM(5)), it was found that the PM(2.5) was more difficult to discharge, and easily formed serious PM(2.5) dust air pollution. This study’s results were determined to be conductive to the future control of PM(2.5) in the underground roadway blasting processes. |
format | Online Article Text |
id | pubmed-6125306 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-61253062018-09-10 Numerical Simulation of Particulate Matter 2.5 Distribution in a Roadway Feng, Guorui Liao, Qi Hu, Shengyong Sci Rep Article Large amounts of dust particles pose serious hazards to the health and safety of China’s coal miners during roadway blasting processes. It is known that among these dust particles, Particulate Matter 2.5 (PM(2.5)) does the greatest amount of harm. In order to study the distributions of the PM(2.5) in roadway blasting processes, a mathematical model of the gas-solid two-phase flow was established in this study, which was based on a Direct Simulation Monte Carlo Method (DSMC). Then, a multiphase flow program was developed. This study’s results indicated that following the blasting processes, fine dust particles gradually floated up and were suspended for long durations in the underground roadway space. The medium-sized dust particles slowly sink to the ground and were eventually expelled before settling to the floor of the roadway. The coarse particles were rapidly settled to the roadway floor. It was determined that the PM(2.5) particles in the front end of the dust group could not be quickly diluted, and the concentrations were high until it is expelled from the roadway, whereas the PM(2.5) dust particles in the back end of the underground roadway were found to be gradually diluted. Eventually, the PM(2.5) concentrations exhibited an alternating thin to dense phase distribution. When compared with the Particulate Matter 5 (PM(5)), it was found that the PM(2.5) was more difficult to discharge, and easily formed serious PM(2.5) dust air pollution. This study’s results were determined to be conductive to the future control of PM(2.5) in the underground roadway blasting processes. Nature Publishing Group UK 2018-09-05 /pmc/articles/PMC6125306/ /pubmed/30185917 http://dx.doi.org/10.1038/s41598-018-31419-0 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Feng, Guorui Liao, Qi Hu, Shengyong Numerical Simulation of Particulate Matter 2.5 Distribution in a Roadway |
title | Numerical Simulation of Particulate Matter 2.5 Distribution in a Roadway |
title_full | Numerical Simulation of Particulate Matter 2.5 Distribution in a Roadway |
title_fullStr | Numerical Simulation of Particulate Matter 2.5 Distribution in a Roadway |
title_full_unstemmed | Numerical Simulation of Particulate Matter 2.5 Distribution in a Roadway |
title_short | Numerical Simulation of Particulate Matter 2.5 Distribution in a Roadway |
title_sort | numerical simulation of particulate matter 2.5 distribution in a roadway |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6125306/ https://www.ncbi.nlm.nih.gov/pubmed/30185917 http://dx.doi.org/10.1038/s41598-018-31419-0 |
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