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Cloud and PM2.5 Spatiotemporal Monitoring using the PM2.5 IoT and AirLink sensors in Krabi, Thailand
Organization(s):Thailand Citizen Science
Country:Thailand
Student(s):Kristin Malayaphon, Tianrawit Komalittipong, Pongwarin Twesre, Dechatorn Khongcharoenchai, Charanchai akkeesuwan, Peranat Pornjaturin, Puntut Tanapaisarnwattana, Wanpee Julpamorn, Papangkorn Methavararak, Phattarapol Lakhan, Warot Phanphoowong, Napatsanan Ngeonbumroong, Chisakan Boonmee
Grade Level:Secondary School (grades 9-12, ages 14-18)
Educator(s):
Contributors:Teacher: Mrs. Kornkamon Kumnerdkarn, Mrs. Pawish Porwornchaiyakorn
Scientist: John Rex, Mr. Tewakorn Yaowa, Assoc. Prof. Dr. Krisnadej Jaroensutasinee, Assoc. Prof. Dr. Mullica Jaroensutasinee
Report Type(s):International Virtual Science Symposium Report
Protocols:Clouds
Presentation Video:
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Presentation Poster:
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Language(s):English
Date Submitted:03/03/2024
In this study, we compared (1)the PM2.5 dust sensor PMS3003 with the AirLink PM2.5 sensor to evaluate using a low-cost sensor for PM2.5 measurement at (1) Boon Siam Hotel and (2) Chao Fa Pier, Krabi Province, Southern Thailand and (2) examined the relationship of PM2.5 to air temperature, relative humidity, cloud type, and percentage of cloud cover using the GLOBE Observer: Cloud app. Our results show that the higher the air temperature, the more pm2.5 dust, and the higher the temperature, the better the pm2.5 dust can be distributed, reducing the chance that pm2.5 will fall to the ground. The higher the humidity, the less pm 2.5 will be because dust will stick to the water. Especially if it is a thick cloud with high humidity, pm 2.5 will be low because the cloud collects dust and disperses rainwater, causing the dust to fall to the ground. The higher the percentage of cloud cover, the less pm 2.5 will be because the higher the percentage of clouds that collect dust and disperse rainwater, the more dust will fall to the ground.