A Mathematical Model to Predict a Coastal Erosion: Case Study Chalathat Beach, Songkhla, Thailand

Sasalak Tongkaw, Pintipa Buadang, Supaporn Prompitak, Kamonnawin Inthanuchit
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Abstract

Geographical condition in the south of Thailand stretches along both sides of the sea, causing coastal erosion problems. Especially at Chalathat Beach of Songkhla Province, problems caused by erosion are caused by many reasons. However, the rate of erosion is increasing every year. This research combines primary and secondary data to analyze coastal erosion trends using geographic measurement techniques using Google Earth Pro and Linear Regression to obtain a coastal erosion rate forecasting model that can forecast the area caused by the erosion of the coast of Chalathat Beach Songkhla Province in the next ten years. In 2032, the area of Chalathat Beach will be eroded by approximately 213,448.8232 square meters. This model can be applied to assess coastal erosion in the area nearby. In addition, this research is helping environmental agencies in coastal erosion assessments where they can assess the damage caused by coastal erosion and used for editing plans for long-term coastal erosion solutions.
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预测海岸侵蚀的数学模型:以泰国宋卡Chalathat海滩为例
泰国南部的地理条件沿海两岸延伸,造成海岸侵蚀问题。特别是在宋卡省的Chalathat海滩,侵蚀造成的问题是由许多原因引起的。然而,侵蚀的速度每年都在增加。本研究结合第一手资料和第二手资料,利用地理测量技术,利用Google Earth Pro和线性回归对海岸侵蚀趋势进行分析,得到了可以预测未来十年宋卡省Chalathat海滩海岸侵蚀面积的海岸侵蚀速率预测模型。2032年,Chalathat海滩的面积将被侵蚀约213448.8232平方米。该模型可用于评估附近地区的海岸侵蚀。此外,这项研究正在帮助环境机构进行海岸侵蚀评估,他们可以评估海岸侵蚀造成的损害,并用于编辑长期海岸侵蚀解决方案的计划。
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