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An Application of the Polynomial Regression Algorithm for Predicting the Effects of Coastal Erosion at Bang Khun Thian
Organization(s):Darunsikkhalai School for Innovative Learning
Country:Thailand
Student(s):Mr. Dheerin TEMPHUWAPAT
Mr. Teerut TANGSIRIPINYO
Mr. Nattavee SUNITSAKUL
Mr. Theekhathat WONGSUBSANTATI
Grade Level:Secondary School (grades 9-12, ages 14-18)
GLOBE Educator(s):Kitsada Doungjitjaroen
Contributors:
Report Type(s):International Virtual Science Symposium Report
Protocols:Air Temperature, Surface Temperature, Wind, Water Temperature, Water Transparency
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Presentation Poster:
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Language(s):English, Other (Thai)
Date Submitted:2023-03-04
The problem of coastal erosion in Bang Khun Thian, Bangkok has resulted in people being forced to retreat or relocate, causing significant impacts on their livelihoods and way of life. To address this issue, a system is aimed to be developed by researchers that can measure and predict the likelihood of coastal erosion patterns in the future using the Polynomial Regression Algorithm based on water flow data, wind speed, and direction measurements. It was found from the experiment that a relatively high accuracy was yielded by the model when compared to the current erosion rates in 2023, and a high level of accuracy is expected to be achieved in predicting erosion for the next 50 years, particularly in the year 2073. With the help of this system, timely prevention and management measures can be taken to reduce the impacts of coastal erosion on the environment, economy, tourism, safety, and people's way of life.