Key research themes
1. How can sedimentological proxies and depositional characteristics distinguish tsunami deposits from storm deposits?
This research area focuses on identifying diagnostic sedimentary, geomorphological, and mineralogical criteria to differentiate tsunami deposits from storm-induced deposits. The distinction matters as it underpins accurate paleotsunami reconstructions, hazard assessments, and coastal risk management, especially in regions with overlapping storm and tsunami activity. Researchers employ methods such as grain size analysis, heavy mineral assemblages, boulder morphology and distribution, and geochemical signatures to establish provenance and transport mechanisms of sediments and clasts.
2. What are the sedimentological and geomorphological characteristics of tsunami boulder deposits and their transport mechanisms?
This theme investigates the evidentiary features, spatial distribution, and depositional dynamics of coarse clast (boulder and block) tsunami deposits. Understanding boulder mobilization allows reconstruction of paleo-tsunami flow parameters and improves hazard assessment for volcanic, tectonic, and landslide-triggered tsunamis. The research involves field measurements, orientation analyses, morphometric data, and hydrodynamic modeling to infer wave heights, flow velocities, and transport pathways, including application in volcanic island contexts and arid coastal systems.
3. How do tsunami sediment deposits inform tsunami hazard assessment and improve long-term coastal risk understandings?
This theme addresses the application of stratigraphic, sedimentological, and geophysical tsunami deposit studies to reconstruct the timing, magnitude, and recurrence of tsunamis, thereby enhancing hazard models and mitigation strategies. Regional case studies demonstrate how deposits, integrated with historical and modeling data, extend tsunami records beyond instrumental and historical archives. Methodological convergence involves radiocarbon dating, geochemical fingerprinting, spatial geophysical imaging, and numerical tsunami propagation models to evaluate tsunami flow parameters, inundation extents, and risk classification.