Modeling haze problems in the North of Thailand using logistic regression
At present, air pollution is a major problem in the upper northern region of Thailand. Air pollutants have an effect on human health, the economy and the traveling industry. The severity of this problem clearly appears every year during the dry season, from February to April. In particular it becomes very serious in March, especially in Chiang Mai province where smoke haze is a major issue. This study looked into related data from 2005-2010 covering eight principal parameters: PM10 (particulate matter with a diameter smaller than 10 micrometer), CO (carbon monoxide), NO
Pimpunchat, B. Sirimangkhala, K. Junyapoon, S.
Journal of Mathematical and Fundamental Sciences,2014
Forecasting, Haze problem, Mathematical model, Multivariate logistic regression, PM10