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Spatial Variability of Temperature, Rainfall, and Wind Speed Across Cha-Uat and Tha Sala Districts, Nakhon Si Thammarat, Thailand
Organization(s):Srithammaratsuksa School
Country:Thailand
Student(s):Patchana Sittirit , Kanyarat Rattanachamnong , Thansiri Chaipong , Waritsanun Hemtanon , Woranittha Pannin , Chutikan Chookaew , Patthamaporn Luenkaew , Saruta Pongpaew , Chayapat Chumanee
Grade Level:Secondary School (grades 9-12, ages 14-18)
GLOBE Educator(s):Supatson Kanchanavivin
Contributors:Assoc.Prof.Dr.Krisanadej Jaorensutasinee, Assoc.Prof.Dr. Mullica Jaroensutasinee, Miss Thunwarut Sutthipun, and Miss Chacha Sattharat
Report Type(s):International Virtual Science Symposium Report
Protocols:Air Temperature, Clouds, Precipitation, Wind
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Language(s):English
Date Submitted:02/02/2025
This study investigates the temporal and spatial variability of temperature, rainfall, and wind speed in Nakhon Si Thammarat Province, Thailand, from December 11 to 18, 2024. The research aimed to analyze the differences in precipitation patterns between two districts, Tha Sala and Cha-Uat, and to assess the relationship between weather variables. Rainfall in Tha Sala ranged from 9.7 to 482.1 millimeters, with an extreme event on December 16 causing widespread flooding. In contrast, Cha-Uat recorded rainfall between 5 and 105.2 millimeters, with less severe flooding despite continuous heavy rain. The disparity in rainfall was attributed to topography, monsoon winds, moisture accumulation, and local weather systems. Temperature variations were similar between the districts, ranging from 24.03°C to 27.28°C. Still, no direct correlation with rainfall was found, suggesting other factors, such as humidity and wind patterns, played a more significant role. Wind speed fluctuated between the districts, with Tha Sala generally experiencing higher speeds. Statistical analysis using a Paired Samples t-test indicated that all variables (temperature, wind speed, and rainfall) showed significant changes (p-value < 0.01) between the two districts, confirming that the observed differences were not due to chance but were influenced by environmental and weather-related factors. This study highlights the importance of understanding local climate dynamics, particularly in regions with complex topography, for better disaster preparedness and resource management.