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Evaluation of the effect of particulate matter on construction accidents using relative probability

PM(10) is known to have a great adverse effect on the human body. However, there is a lack of research analyzing the impact of PM(10) on the occurrence of accidents. Accordingly, the purpose of this study is to analyze the correlation between PM(10) and accidents in the construction industry and to...

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Autores principales: Lee, Minsu, Jeong, Jaewook, Kim, Daeho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10593837/
https://www.ncbi.nlm.nih.gov/pubmed/37872208
http://dx.doi.org/10.1038/s41598-023-45358-y
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author Lee, Minsu
Jeong, Jaewook
Kim, Daeho
author_facet Lee, Minsu
Jeong, Jaewook
Kim, Daeho
author_sort Lee, Minsu
collection PubMed
description PM(10) is known to have a great adverse effect on the human body. However, there is a lack of research analyzing the impact of PM(10) on the occurrence of accidents. Accordingly, the purpose of this study is to analyze the correlation between PM(10) and accidents in the construction industry and to present a new concentration group to manage accidents caused by PM(10) in the construction industry. This study was conducted in the following four stages. (i) collection of data, (ii) classification of data, (iii) relative probability analysis, and (iv) modified PM(10) group classification. The main results of this study are as follows. When the frequency analysis of the traditional method was conducted, 3,721 accidents occurred at a PM(10) concentration of 32 μg/m(3). However, as a result of the relative probability analysis presented in this study, it was confirmed that the relative accident probability increased as the PM(10) concentration increased. In addition, the current PM(10) concentration is presented by the WHO in six groups from a health perspective. However, in this study, the newly proposed PM(10) group was classified into three groups from the perspective of the probability of construction accidents. The group proposed in this study is not from a health perspective but a group for managing construction site accidents. The contribution of this study was to confirm that PM(10) also affects accidents occurring at construction sites, and the impact of PM(10) on accidents was quantitatively analyzed through the relative probability analysis presented in this study.
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spelling pubmed-105938372023-10-25 Evaluation of the effect of particulate matter on construction accidents using relative probability Lee, Minsu Jeong, Jaewook Kim, Daeho Sci Rep Article PM(10) is known to have a great adverse effect on the human body. However, there is a lack of research analyzing the impact of PM(10) on the occurrence of accidents. Accordingly, the purpose of this study is to analyze the correlation between PM(10) and accidents in the construction industry and to present a new concentration group to manage accidents caused by PM(10) in the construction industry. This study was conducted in the following four stages. (i) collection of data, (ii) classification of data, (iii) relative probability analysis, and (iv) modified PM(10) group classification. The main results of this study are as follows. When the frequency analysis of the traditional method was conducted, 3,721 accidents occurred at a PM(10) concentration of 32 μg/m(3). However, as a result of the relative probability analysis presented in this study, it was confirmed that the relative accident probability increased as the PM(10) concentration increased. In addition, the current PM(10) concentration is presented by the WHO in six groups from a health perspective. However, in this study, the newly proposed PM(10) group was classified into three groups from the perspective of the probability of construction accidents. The group proposed in this study is not from a health perspective but a group for managing construction site accidents. The contribution of this study was to confirm that PM(10) also affects accidents occurring at construction sites, and the impact of PM(10) on accidents was quantitatively analyzed through the relative probability analysis presented in this study. Nature Publishing Group UK 2023-10-23 /pmc/articles/PMC10593837/ /pubmed/37872208 http://dx.doi.org/10.1038/s41598-023-45358-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Lee, Minsu
Jeong, Jaewook
Kim, Daeho
Evaluation of the effect of particulate matter on construction accidents using relative probability
title Evaluation of the effect of particulate matter on construction accidents using relative probability
title_full Evaluation of the effect of particulate matter on construction accidents using relative probability
title_fullStr Evaluation of the effect of particulate matter on construction accidents using relative probability
title_full_unstemmed Evaluation of the effect of particulate matter on construction accidents using relative probability
title_short Evaluation of the effect of particulate matter on construction accidents using relative probability
title_sort evaluation of the effect of particulate matter on construction accidents using relative probability
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10593837/
https://www.ncbi.nlm.nih.gov/pubmed/37872208
http://dx.doi.org/10.1038/s41598-023-45358-y
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