Proceedings of the 7th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention

Researches on Welder's Pneumoconiosis Risk Assessment Methods Based on Logistic Regression

Authors
Deyin Huang, Minyan Li, Mao Liu
Corresponding Author
Deyin Huang
Available Online November 2016.
DOI
https://doi.org/10.2991/rac-16.2016.71How to use a DOI?
Keywords
Welding fume; Welders' pneumoconiosis; Risk assessment; Logistic regression model
Abstract
Objective To research the risk assessment method of welder's pneumoconiosis caused by welding fume exposure, predict the incidence of welder's pneumoconiosis, and provide technical basis for occupational risk management. Method Welders of a large-scale agricultural machinery processing workshop were chosen as objectives. The incidence of welder's pneumoconiosis was predicted by logistic non-linear regression model using the concentrations of the welding fume that the welders exposed to and their exposure durations. Furthermore, the relationship between the incidence probability of welder's pneumoconiosis and exposure situation was found by using logistic regression model, and the incidence probability distribution was evaluated by Monte-Carlo simulation. Results It was found that if these welders exposed to the welding fume of the current concentration for 5 or 10 years, the risk of welder's pneumoconiosis would be between 10-3 and 10-2, and for 20 or 30 years, it would be between 10-2 and 10-1. Assuming that they exposed to welding fume of this concentration for 30 years, the risk would exceed the acceptable risk level and measures should be taken. Conclusion In this study, a practical quantitative approach was proposed to assess the risk of welder's pneumoconiosis caused by welding fume exposure. Based on the results, it showed that as the risk management target, the concentration and exposure duration should be well controlled to reduce the risk of welder's pneumoconiosis. This method could be applied in evaluations of occupational disease hazard in construction projects and help to control and manage the risk of welder's pneumoconiosis.
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Proceedings
7th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC-2016)
Part of series
Advances in Intelligent Systems Research
Publication Date
November 2016
ISBN
978-94-6252-242-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/rac-16.2016.71How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Deyin Huang
AU  - Minyan Li
AU  - Mao Liu
PY  - 2016/11
DA  - 2016/11
TI  - Researches on Welder's Pneumoconiosis Risk Assessment Methods Based on Logistic Regression
BT  - 7th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC-2016)
PB  - Atlantis Press
SP  - 439
EP  - 445
SN  - 1951-6851
UR  - https://doi.org/10.2991/rac-16.2016.71
DO  - https://doi.org/10.2991/rac-16.2016.71
ID  - Huang2016/11
ER  -