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Precipitation Pattern, PM2.5, CO2, and Temperature Variability Analysis in Southern Province
Organization(s):Samsenwittayalai School
Country:Thailand
Student(s):Jarubha Suanklieng, Artima Jamjang, Supichcha Tongboon, Jidapa
Niamhom, Supitcha Boonnak, Jarukan Tangkamonkasem, Pimpawee Piamjomsiri,
Kotchanun Charoenchinnaphat, Kuldhira Iemarrom, Panthipha Srisutraporn, Sukrita
Rasameephen, Gunyarut Chatkaewmorakot
Grade Level:Secondary School (grades 9-12, ages 14-18)
GLOBE Educator(s):Kornkamon Kumnerdkarn
Contributors:Kornkamon Kumnerdkan, Nattaya Chuichai Assoc.Prof.Dr.Krisanadej, Jaorensutasinee, Assoc.Prof.Dr. Mullica Jaroensutasinee, Mr. John Rex Piamonte, Center of Excellence for Ecoinformatics, School of Science, Walailak University, Samsenwittayalai School
Report Type(s):International Virtual Science Symposium Report
Protocols:Air Temperature, Clouds, Precipitation
Presentation Video:
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Presentation Poster:
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Language(s):English
Date Submitted:02/28/2025
This study examines the interplay of precipitation, PM2.5, CO2, and temperature
variability in Southern Thailand Province, revealing key environmental insights. Scatter
plots show a strong inverse relationship between rainfall and both PM2.5 and CO2, with
higher rainfall reducing pollutant levels due to its cleansing effect, while temperature and
rainfall exhibit a weak inverse correlation, with cooler conditions linked to rain. However,
the relationships between temperature and PM2.5 (R² = 0.006) and rainfall and CO2 (R²
= 0.012) are very weak, indicating other factors like emissions and seasonal patterns
dominate. The CO2 time series, peaking at 670 ppm during dry periods, highlights
significant variability driven by activities like biomass burning. These findings underscore
health risks from elevated pollutants during dry, hot seasons and the limited mitigating
role of rain, necessitating integrated strategies to reduce emissions, enhance monitoring,
and adapt to climate change. Future research should use advanced models to predict
trends, while regional policies should prioritize sustainable practices to safeguard public
health and the environment in this tropical region.
Keywords: PM, CO2, Precipitation Pattern, Temperature Variability