The objectives of this research are to propose a linear mixed model including spatial effects to present the distribution of air pollution of each gas being Sulphur dioxide (SO2) Nitrogen dioxide (NO2) Carbon monoxide (CO) and Ozone (O3) and particulate matter (PM10) and to investigate the factors related to those air pollution in each area of Bangkok Metropolitan Region. The spatial effects are assumed to be a conditional autoregressive (CAR) model. The dependent variables are the amount of SO2 NO2 CO O3 and PM10 in each area and the independents considered are Industrial area business area and suburb area. The results indicate that the factors influencing the amount of air pollution ranking from most to least are industrial area suburb area and business area respectively.

For this work PM10 were collected from 7 stations within the area of North Phra Nakhon campus Rajamangala University of Technology Phra Nakhon Thailand. The samples were collected within 24 hours from January to April 2015. The result shows that the concentrations of PM10 values are in the range of 0.06 - 0.16 mg/m3 and average PM10 of 0.09 mg/m3. The maximum PM10 were found in front of the university. The comparison of maximum PM10 with the standard value of Pollution Control Department (PCD) was slightly over but did not affect human health.