Predictive Statistical Model for Indoor Manganese Airborne Particles Affected by Psychrometric Parameters

Commonly, there are varieties of indoor airborne particles in the foundry factories. One of the mainparticle with emphasize on health effect on exposed human is manganese airborne particle. The current studyconsidered correlation between indoor psychrometric parameters and manganese concentration in theworkplace. Overall, fifty samples were collected by filter based on OSHA ID-121 method in the workplaces.SPSS V.20 was used to find a predictive model using linear regression model. The mean personal exposureto manganese was 1.626 mg/m . The mean measured psychrometric 3 parameters for dry temperature, relativehumidity and air velocity were 29°C, 52% and 1.2m/s, respectively. The correlations between personal exposuresand indoor air parameters measurements showed a high significant relationship between personal exposure,dry temperature and wind speed in the factory (P< 0.05). This study concluded that controlling dry temperatureand air velocity is the main effective parameters on airborne manganese concentration in the workplaces anddecreased the personal exposure.