Impact assessment of future flooding in southwest Taiwan using an ensemble climate simulation dataset, d4PDF

Autor: Chang, J., Yasuto, T., Tomohiro, T.
Rok vydání: 2023
Zdroj: XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
DOI: 10.57757/iugg23-2822
Popis: Flooding is one of the major disasters in Taiwan, significantly impacting society and the economy. Under climate change, rainfall patterns have become denser and more intense than they used to be. Under this change, more water-related disasters may happen more commonly, such as flooding due to difficulty draining the water quickly. Various research for assessing climate change's impact on flooding has been well done, relying on knowledge and technology improvement. However, the high uncertainty of climate change still needs more studies to understand. Data quality has been critical for climate change modeling and impact assessment research. Few observation data usually cause significant uncertainty for future climate prediction. Nowadays, simulation climate datasets have been widely accepted for understanding the impact of climate change in various research. Taiwan still lacks a robust climate database for future climate research. Database for Policy Decision-Making for Future Climate Change (d4PDF) has proved to have high applicability on Taiwan catchments by Chang et al. However, the application of d4PDF has not been used in practical research. This research demonstrates the application of d4PDF in Taiwan on future flooding assessment. The results illustrate the inundation area under the interaction of pluvial and fluvial floods using 3000 years of d4PDF historical simulation data in southwest Taiwan. Also, demonstrate the inundation change under the climate condition of a +4K temperature increase. Moreover, based on the simulation results, we assess the potential economic loss change due to the shifting inundation area, providing more precise and comprehensive flooding control works.
The 28th IUGG General Assembly (IUGG2023) (Berlin 2023)
Databáze: OpenAIRE