Climate Modeling in the Gulf of Thailand to Predict Beach Loss Due to Sea Level Rise

The world's sea levels have been rising during the 20th and early 21 st centuries, following thousands of years of little change. Based on two Representative Concentration Pathway (RCP) scenarios, namely RCP2.5 and RCP8.5, this study estimated future SLR for all of Thailand's coastlines and found that between 2081 and 2100 using Coupled Model Intercomparison Project 5 (CMIP5). The results were presented of RCP 2.6 found that 13 sub districts in Rayong province had beach loss rates ranging from 70 to 92 % and more than 92 % in Choeng Noen, Noen Phra, Pak Nam, Taphong, and Tha Pa-Du and then Beach loss rates were identified in six sub districts of the fourth Suratthani province (54-61 % and 100-145%) according to RCP S.S. especially in Don Sak sub district.

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Publication Details

Published
2024-12-11
DOI
https://doi.org/10.1109/gis-ideas63212.2024.10991285
Primary Topic
Coastal and Marine Management
Type
article
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article

Climate Modeling in the Gulf of Thailand to Predict Beach Loss Due to Sea Level Rise

Phaisarn Jeefoo, Mesha Singharath, Thanakrizt Peebkhunthod
Coastal and Marine Management
article

Climate Modeling in the Gulf of Thailand to Predict Beach Loss Due to Sea Level Rise

Phaisarn Jeefoo, Mesha Singharath, Thanakrizt Peebkhunthod
article en

Abstract

The world's sea levels have been rising during the 20th and early 21 st centuries, following thousands of years of little change. Based on two Representative Concentration Pathway (RCP) scenarios, namely RCP2.5 and RCP8.5, this study estimated future SLR for all of Thailand's coastlines and found that between 2081 and 2100 using Coupled Model Intercomparison Project 5 (CMIP5). The results were presented of RCP 2.6 found that 13 sub districts in Rayong province had beach loss rates ranging from 70 to 92 % and more than 92 % in Choeng Noen, Noen Phra, Pak Nam, Taphong, and Tha Pa-Du and then Beach loss rates were identified in six sub districts of the fourth Suratthani province (54-61 % and 100-145%) according to RCP S.S. especially in Don Sak sub district.

University of Phayao (TH)
Climate action
Openalex Percentile: Top 56%
Coastal and Marine Management
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