{"title":"预测海岸侵蚀的数学模型:以泰国宋卡Chalathat海滩为例","authors":"Sasalak Tongkaw, Pintipa Buadang, Supaporn Prompitak, Kamonnawin Inthanuchit","doi":"10.1109/IVIT55443.2022.10033328","DOIUrl":null,"url":null,"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.","PeriodicalId":325667,"journal":{"name":"2022 International Visualization, Informatics and Technology Conference (IVIT)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Mathematical Model to Predict a Coastal Erosion: Case Study Chalathat Beach, Songkhla, Thailand\",\"authors\":\"Sasalak Tongkaw, Pintipa Buadang, Supaporn Prompitak, Kamonnawin Inthanuchit\",\"doi\":\"10.1109/IVIT55443.2022.10033328\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":325667,\"journal\":{\"name\":\"2022 International Visualization, Informatics and Technology Conference (IVIT)\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Visualization, Informatics and Technology Conference (IVIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IVIT55443.2022.10033328\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Visualization, Informatics and Technology Conference (IVIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IVIT55443.2022.10033328","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Mathematical Model to Predict a Coastal Erosion: Case Study Chalathat Beach, Songkhla, Thailand
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.