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Geospatial analysis of relationship between climate factors and diffusion of air pollution in Chiang Mai, Thailand

Supachai Nakapan^a,c,*, Supab Choopun^a,b,c

 
ABSTRACT:     Geospatial analysis is applied to find a relationship between climate factors (relative humidity and temperature) and air pollutants (PM10 and CO) from January to May 2012?2014, the period when Chiang Mai province, northern part of Thailand, was covered with haze episode. Air pollutants and climate factors data were obtained from air monitoring stations of the Pollution Control Department. Temporal and spatial distribution of air pollutants and climate factors were analysed by Inverse Distance Weight techniques in ARCGIS. Correlation between air pollutants (PM10 and CO) and climate factors (relative humidity and temperature) were also investigated. The results showed that temporal trend of PM10 and CO were similar, they were high during February to April. Low level of relative humidity was observed during February to April, while high temperature was found in March and April. When the relative humidity decreased, the PM10 increased especially in the northern part of Chiang Mai with high correlation (R2 = 0.83, 0.66, 0.73). On the other hand, when high moisture (%RH) covered almost Chiang Mai area during January 2012 and May 2013, the PM10 was decreased, and low correlation between the PM10 and the temperature was observed (R² = 0.01, 0.01, 0.04). Distribution of CO covered in the area during March and April was similar to PM10, however, it was higher in the central and the northern part of Chiang Mai. High correlation between CO and relative humidity was found (R2 = 0.90, 0.02, 0.92), whereas low relationship between CO and temperature was observed.

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* Corresponding author, E-mail: snakapan@gmail.com

Received 12 May 2018, Accepted 31 Oct 2018