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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...

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Autores principales: Wang, Yuan, Du, Cuifeng, Xu, Haiyue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2020
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.
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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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