The Statistical Distributions of PM2.5 in Rayong and Chonburi Provinces, Thailand
DOI:
https://doi.org/10.24203/ajas.v8i3.6153Keywords:
PM2.5, Statistical distribution, Chonburi Province, Rayong ProvinceAbstract
The fine particulate matter (PM2.5) 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 PM2.5 concentrations. This research aims to find the optimum statistical distribution model of PM2.5 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 PM2.5 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 PM2.5 concentrations in Rayong. For Chonburi, the proper statistical distribution is Log normal distribution.
References
[2] El-Shanshoury, Gh. I., “Fitting the Probability Distribution Functions to Model Particulate Matter Concentrationsâ€, Arab Journal of Nuclear Sciences and Applications, vol.50, no. 2, pp. 108-122, 2017.
[3] Forbes, C., Evans, M., Hastings, N. and Peacock, B., Statistical Distributions, 4th ed., Wiley, New York, 2011.
[4] Gavriil, I., Grivas, G., Kassomenos, P., Chaloulakou, A. and Spyrellis, N., “An application of theoretical probability distributions, to the study of PM10 and PM2.5 time series in Athens, Greeceâ€, GlobalNEST International Journal. 8. 241-251. 2006.
[5] Kan, H. D. and Chen, B. H., “Statistical Distributions of Ambient Air Pollutants in Shanghai, Chinaâ€, Biomedical and Environmental Sciences, vol. 17, pp. 366-372, 2004.
[6] Limpaseni, W. “The Harmful Effects of PM2.5â€, Thailand Engineering Journal, vol. 71 no. 1, pp. 9-17, 2018. (In Thai)
[7] Lu, H. C., Fang, G. C. and Wu Y. S., “Estimating the Frequency Distributions of Particulate Matter and Their Metal Elements in a Templeâ€, Journal of the Air & Waste Management Association, vol. 56, no. 7, pp. 1033-1040, 2006.
[8] Pobocikova, I., Sedliackova, Z. and Michalkova, M., “Application of Four Probability Distributions for Wind Speed Modelingâ€, Procedia Engineering, vol. 192, pp. 713-718, 2017.
[9] Rossita M. Y. and Masud M. H., “Predicting Hourly PM10 Concentration in Seberang Perai and Petaling Jaya Using Log-Normal Linear Modelâ€, International Journal of Management and Applied Science (IJMAS), vol. 3, no. 3, pp. 103-108, 2017.
[10] Wang, X., Chen, R. J., Chen, B. H. and Kan, H. D., “Application of Statistical Distribution of PM10 Concentration in Air Quality Management in 5 Representative Cities of Chinaâ€, vol. 26, no. 8, pp. 638-646, 2013.
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Copyright (c) 2020 Vanida Pongsakchat, Pattaraporn Kidpholjaroen
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Copyright © The Author(s). This article is published under the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
