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Key Factor Analysis and Model Establishment of Blasting Dust Diffusion in a Deep, Sunken Open-Pit Mine
[Image: see text] Blasting dust is the main source of atmospheric pollution in deep, sunken open-pit mines (DSOMs), which affects seriously the normal work and production in the mines. Here, the influencing factors and a diffusion model with regard to blasting dust diffusion were investigated and pr...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7807780/ https://www.ncbi.nlm.nih.gov/pubmed/33458496 http://dx.doi.org/10.1021/acsomega.0c04881 |
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author | Wang, Yuan Du, Cuifeng Xu, Haiyue |
author_facet | Wang, Yuan Du, Cuifeng Xu, Haiyue |
author_sort | Wang, Yuan |
collection | PubMed |
description | [Image: see text] Blasting dust is the main source of atmospheric pollution in deep, sunken open-pit mines (DSOMs), which affects seriously the normal work and production in the mines. Here, the influencing factors and a diffusion model with regard to blasting dust diffusion were investigated and proposed in a representative mine. Dimensional analysis and multiple nonlinear regression analysis were applied to establish a mathematical model of the blasting dust diffusion. A high multiple correlation coefficient of 91.4% was obtained, indicating a highly reliable model. This study provides a theoretical basis for rationally arranging production and avoiding air pollution in the DSOMs. |
format | Online Article Text |
id | pubmed-7807780 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-78077802021-01-15 Key Factor Analysis and Model Establishment of Blasting Dust Diffusion in a Deep, Sunken Open-Pit Mine Wang, Yuan Du, Cuifeng Xu, Haiyue ACS Omega [Image: see text] Blasting dust is the main source of atmospheric pollution in deep, sunken open-pit mines (DSOMs), which affects seriously the normal work and production in the mines. Here, the influencing factors and a diffusion model with regard to blasting dust diffusion were investigated and proposed in a representative mine. Dimensional analysis and multiple nonlinear regression analysis were applied to establish a mathematical model of the blasting dust diffusion. A high multiple correlation coefficient of 91.4% was obtained, indicating a highly reliable model. This study provides a theoretical basis for rationally arranging production and avoiding air pollution in the DSOMs. American Chemical Society 2020-12-22 /pmc/articles/PMC7807780/ /pubmed/33458496 http://dx.doi.org/10.1021/acsomega.0c04881 Text en © 2020 American Chemical Society This is an open access article published under a Creative Commons Non-Commercial No Derivative Works (CC-BY-NC-ND) Attribution License (http://pubs.acs.org/page/policy/authorchoice_ccbyncnd_termsofuse.html) , which permits copying and redistribution of the article, and creation of adaptations, all for non-commercial purposes. |
spellingShingle | Wang, Yuan Du, Cuifeng Xu, Haiyue Key Factor Analysis and Model Establishment of Blasting Dust Diffusion in a Deep, Sunken Open-Pit Mine |
title | Key Factor Analysis and Model Establishment
of Blasting Dust Diffusion in a Deep, Sunken Open-Pit Mine |
title_full | Key Factor Analysis and Model Establishment
of Blasting Dust Diffusion in a Deep, Sunken Open-Pit Mine |
title_fullStr | Key Factor Analysis and Model Establishment
of Blasting Dust Diffusion in a Deep, Sunken Open-Pit Mine |
title_full_unstemmed | Key Factor Analysis and Model Establishment
of Blasting Dust Diffusion in a Deep, Sunken Open-Pit Mine |
title_short | Key Factor Analysis and Model Establishment
of Blasting Dust Diffusion in a Deep, Sunken Open-Pit Mine |
title_sort | key factor analysis and model establishment
of blasting dust diffusion in a deep, sunken open-pit mine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7807780/ https://www.ncbi.nlm.nih.gov/pubmed/33458496 http://dx.doi.org/10.1021/acsomega.0c04881 |
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