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 pre...
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Veröffentlicht in: | Scientific reports 2023-10, Vol.13 (1), p.18045-18045, Article 18045 |
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Sprache: | eng |
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Zusammenfassung: | 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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ISSN: | 2045-2322 2045-2322 |
DOI: | 10.1038/s41598-023-45358-y |