Future Flood Risk Zones using CMIP6 Climate Modeling and GeoInformatics in Phetchaburi Province Thailand

An excess of water that submerges normally dry ground is called a flood. It occurs when there is an excessive amount of water in a river, lake, or other water bodies, leading to the inundation of nearby areas. Flood prediction using Geoinformatics combines technology, data analysis, and spatial understanding to enhance our ability to predict, prevent, and manage floods effectively. This study developed techniques for mapping flood extent and assessing flood damages that can be used as a guideline for Geoinformatics technique, Analytical Hierarchy Process modeling and climate modeling to improve the efficiency of future flood disaster monitoring and management in Phetchaburi province in the year of 2030, western Thailand. Climate change is significantly impacting flood risk worldwide. The CMIP6 HadGEM2-ES model plays a crucial role in advancing our understanding of climate dynamics and informing policy decisions related to climate change. In the results, it was found that the Bang Khrok subdistrict, Ban Laem district, is classified as a high-risk future flood zone with an area of 22.10 sq.km., which is 10.29% of the whole province in terms of affected future floods in the year of 2030. The field of Geoinformatics has significantly aided in the monitoring and assessment of flood damage, leading to major contributions from disaster management authorities.