The Enhancement of Control Banding for Nanomaterials Risk Assessment in Paint and Coating Industry
In this study, the Bayesian Network (BN) model and the existing Nanomaterials Risk Assessment by Department of Occupational Safety and Health (NaRA DOSH) guideline were integrated to develop a quantitative Nanomaterials Risk Assessment (NanoRisk) framework for predicting the hazard potential in the...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
2023
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| Subjects: | |
| Online Access: | http://utpedia.utp.edu.my/id/eprint/24626/1/NorsuzieanahHalil_19001816%20%282%29.pdf http://utpedia.utp.edu.my/id/eprint/24626/ |
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| Institution: | Universiti Teknologi Petronas |
| Language: | English |
| Summary: | In this study, the Bayesian Network (BN) model and the existing Nanomaterials Risk Assessment by Department of Occupational Safety and Health (NaRA DOSH) guideline were integrated to develop a quantitative Nanomaterials Risk Assessment (NanoRisk) framework for predicting the hazard potential in the paint and coating industry. The existing qualitative control banding approach by the NaRA DOSH guideline has the following limitations: (1) less sensitivity of qualitative control banding approach, due to uncertain characterization, toxicological measurement, and exposure tests, (2) limited operating parameters and variables in Nano-BN model development, and (3) inadequate information on the control band. Therefore, the data collected is deemed to be unreliable and will complicate the risk assessment process. |
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