Evaluating the Association Between Ambient Pollutants and Climate Conditions in Chiangmai, Thailand

The most significant air pollutant is particulate matter of less than 10 microns (PM10), followed by ozone (O3) during the monitoring period from 2006 to 2022 in Chiangmai. The association between ambient pollutants and climate conditions in Chiangmai was assessed using regression analysis and analysis of variance (ANOVA). The ANOVA analysis indicated that the average temperature was associated significantly with the nitrogen dioxide (NO2) concentration in the ambient, but the average rainfall volume was associated significantly with most pollutants except only sulfur dioxide (SO2). From the prediction models, the rise in average temperature affected to increase in the concentrations of PM10 and O3. Interestingly, the increase in rainfall will be advantageous to compromise the severity of all pollutants. Meanwhile, on hotter days should be careful of the rise of PM10 and O3 concentrations. Therefore, the vital meteorological variables associated with air pollution are very useful for forecasting the harmful and severity level of each air pollutant.

Authors

Publication Details

Journal
Nature Environment and Pollution Technology
Published
2024-12-01
DOI
https://doi.org/10.46488/nept.2024.v23i04.026
Citations
1
Primary Topic
Air Quality Monitoring and Forecasting
Type
article
Field-Weighted Citation Impact
0.21
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article

Evaluating the Association Between Ambient Pollutants and Climate Conditions in Chiangmai, Thailand

Piyavadee Srivichai, R. Chumaporn
1 citations
Nature Environment and Pollution Technology
Air Quality Monitoring and Forecasting
0.21
article

Evaluating the Association Between Ambient Pollutants and Climate Conditions in Chiangmai, Thailand

Piyavadee Srivichai, R. Chumaporn
article en
1 citations

Abstract

The most significant air pollutant is particulate matter of less than 10 microns (PM10), followed by ozone (O3) during the monitoring period from 2006 to 2022 in Chiangmai. The association between ambient pollutants and climate conditions in Chiangmai was assessed using regression analysis and analysis of variance (ANOVA). The ANOVA analysis indicated that the average temperature was associated significantly with the nitrogen dioxide (NO2) concentration in the ambient, but the average rainfall volume was associated significantly with most pollutants except only sulfur dioxide (SO2). From the prediction models, the rise in average temperature affected to increase in the concentrations of PM10 and O3. Interestingly, the increase in rainfall will be advantageous to compromise the severity of all pollutants. Meanwhile, on hotter days should be careful of the rise of PM10 and O3 concentrations. Therefore, the vital meteorological variables associated with air pollution are very useful for forecasting the harmful and severity level of each air pollutant.

Nature Environment and Pollution TechnologyVol. 23(4)
Climate action
Openalex Percentile: Top 48%
Air Quality Monitoring and Forecasting
0.21
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