TY - JOUR AU - Pongsakchat, Vanida AU - Kidpholjaroen, Pattaraporn PY - 2020/06/28 Y2 - 2024/03/28 TI - The Statistical Distributions of PM2.5 in Rayong and Chonburi Provinces, Thailand JF - Asian Journal of Applied Sciences JA - AJAS VL - 8 IS - 3 SE - Articles DO - 10.24203/ajas.v8i3.6153 UR - https://www.ajouronline.com/index.php/AJAS/article/view/6153 SP - AB - <p>The fine particulate matter (PM<sub>2.5</sub>) concentrations is one of the most important issues that are often discussed since it has a greater impact on human health. Statistical distribution modeling plays an important role in predicting PM<sub>2.5</sub> concentrations. This research aims to find the optimum statistical distribution model of PM<sub>2.5</sub> in Rayong Province and Chonburi Province. The daily average data from 2014 – 2019 for Rayong and from 2015 – 2019 for Chonburi were using. Five statistical distributions were compared. A proper statistical distribution that represents PM<sub>2.5</sub> concentrations has been chosen based on three criteria include Anderson-Darling statistic and RMSE. The results show that Pearson type VI distribution performs better compared to other distributions for PM<sub>2.5</sub> concentrations in Rayong. For Chonburi, the proper statistical distribution is Log normal distribution.</p><p> </p> ER -