Utilizing AR6 Daily Rainfall Data to Assess Climate Change Impacts on Flood Risk in Miaoli County, Taiwan

This study utilized AR6 daily rainfall data for Miaoli County, Taiwan, sourced from the National Science and Technology Center for Disaster Reduction (NCDR) through the "Taiwan Climate Change Projection Information and Adaptation Knowledge Platform" (TCCIP). Flood hazard maps were generated for the baseline period (1995–2014) and future projections (2081–2100), considering four greenhouse gas emission pathways: SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5. Social vulnerability composite index data for Miaoli County, developed by NCDR under the "Disaster Reduction Dynamic Data" initiative, were utilized to construct vulnerability maps. Village-level population data were retrieved from the Miaoli County Household Registration Service Platform to create exposure maps. By integrating hazard, vulnerability, and exposure data, flood disaster risk levels for each village were assessed. The results reveal that flood disaster risk in Miaoli County escalates with increasing greenhouse gas emissions under future scenarios. These findings highlight a growing vulnerability to flooding in the county, emphasizing the need for proactive measures. The outcomes of this study provide critical insights for the Miaoli County Government, supporting the identification of high-risk villages and the prioritization of resources for flood mitigation infrastructure. This strategic approach aims to effectively reduce the threat of flood disasters under changing climate conditions.