Abstract
Occupational Exposure Limits (OELs) are representing the amount of a workplace health hazard that most workers can be exposed to without harming their health. In this work, a new Quantitative Structure Property Relationships (QSPR) model to estimate occupational exposure limits values has been developed. The model was developed based on a set of 100 exposure limit values, which were published by the American Conference of Governmental Industrial Hygienists (ACGIH). MATLAB software was employed to develop the model based on a combination between Multiple Linear Regression (MLR) and polynomial models. The results showed that the model is able to predict the exposure limits with high accuracy, R 2 = 0.9998. The model can be considered scientifically useful and convenient alternative to experimental assessments.
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El-Harbawi, M., Trang, P.T.K. (2016). Development of Mathematical Model Using Group Contribution Method to Predict Exposure Limit Values in Air for Safeguarding Health. In: Kim, J., Geem, Z. (eds) Harmony Search Algorithm. Advances in Intelligent Systems and Computing, vol 382. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47926-1_38
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DOI: https://doi.org/10.1007/978-3-662-47926-1_38
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