Development of Mathematical Model Using Group Contribution Method to Predict Exposure Limit Values in Air for Safeguarding Health

  • Mohanad El-Harbawi
  • Phung Thi Kieu Trang
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 382)


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.


OELs Group contribution method QSPR MATLAB 


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© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  1. 1.Department of Chemical Engineering, College of EngineeringKing Saud UniversityRiyadhKingdom of Saudi Arabia
  2. 2.Chemical Engineering DepartmentUniversiti Teknologi PETRONASTronohMalaysia

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