Modelling of temporal variation of PM 2.5 in Chiang Mai, Thailand

Abstract

While air pollution appears to be one of the most critical environmental problems, which directly from manmade with generally resulting in greater amount than natural degradation. Therefore, everyone should concern more on the concept of sustainable development, which mainly focus on economics, social, and environment for being to an approach to economic planning that attempts to raise economic growth while preserving the quality of the environment. The study aims construct a model of temporal variation of PM2.5 in Chiang Mai, which the magnitude of PM2.5 in certain periods of time can be observed every year in Chiang Mai using Fourier Series Expansion and Spline Interpolation and compare the performance of Fourier Series Expansion and Spline Interpolation. The result of the study shows that the performance of Fourier Series Expansion of fitting Fourier coefficient 5 (Fourier 5) and Spline Interpolation of Yupparaj Wittayalai School and Chiang Mai city hall monitoring station have the same performance. In other words, the result shows that the model can be used to predict the concentration of PM2.5. at a specific time in the future precisely. These would be a part of the decision of the private sector or those involved in organizing outdoor activities or during the burning season. Moreover, the study can benefit for government sector to planning and making decision to formulate economic policies which would reduce the air pollution problem for green economy