Modeling of Inhalation Health Risk of Volatile Organic Compounds in the Vicinity of Maptaphut Petroleum and Petrochemical Industrial Estate, Thailand

Wissawa Malakan, Sarawut Thepanondh () and Akira Kondo
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Wissawa Malakan: Department of Sanitary Engineering, Faculty of Public Health, Mahidol University, Bangkok 10400, Thailand
Sarawut Thepanondh: Department of Sanitary Engineering, Faculty of Public Health, Mahidol University, Bangkok 10400, Thailand
Akira Kondo: Graduate School of Engineering, Osaka University, Osaka 565-0871, Japan

Sustainability, 2022, vol. 14, issue 19, 1-14

Abstract: The purpose of this research was to explicate a human health risk assessment that can be employed with inhalation risk estimates to provide a screening level of risks. Model input parameters provide reasonable values with the site- and compound-specific values relied on by the Human Health Risk Assessment Protocol (HHRAP). This method uses a generic risk assessment, consisting of air dispersion and deposition modeling followed by risk modeling. An intensive evaluation was conducted in the surrounding area of the largest petroleum and petrochemical estate in Thailand, the Maptaphut industrial area, where a large volume of VOCs was emitted, with an increasing negative health impact on the local population. The potential inhalation health risk assessment showed that the lifetime cancer risk in all residential areas is higher than the health benchmarks. The highest cancer risk was 7.82 × 10 −2 in children and 3.91 × 10 −1 in adults. The inhalation effects are based on the specific emission rates, the united concentrations and deposition fluxes, and the emission phase. The results revealed that four VOCs (benzene, 1,3-butadiene, vinyl chloride, and 1,2-dichloroethane) should be given priority when controlling for sustainable health risk management through the comprehensive analysis of the integrated analysis of air dispersion and health risk mathematical models.

Keywords: AERMOD; emission inventory; HHRAP; IRAP-h view; Maptaphut; VOCs (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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