relation: https://khub.utp.edu.my/scholars/8017/
title: Development of mathematical model using group contribution method to predict exposure limit values in air for safeguarding health
creator: El-Harbawi, M.
creator: Trang, P.T.K.
description: 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, R2 = 0.9998. The model can be considered scientifically useful and convenient alternative to experimental assessments. © Springer-Verlag Berlin Heidelberg 2016.
publisher: Springer Verlag
date: 2016
type: Article
type: PeerReviewed
identifier:   El-Harbawi, M. and Trang, P.T.K.  (2016) Development of mathematical model using group contribution method to predict exposure limit values in air for safeguarding health.  Advances in Intelligent Systems and Computing, 382.  pp. 395-402.  ISSN 21945357     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84946762044&doi=10.1007%2f978-3-662-47926-1_38&partnerID=40&md5=630714ffe3e7c72a3e21dbc8de3a3895
relation: 10.1007/978-3-662-47926-1₃₈
identifier: 10.1007/978-3-662-47926-1₃₈