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Showing 1–8 of 8 results

Advanced filters: Author: Anawat Suppasri Clear advanced filters

Machine learning and hydrodynamic proxies for enhanced rapid tsunami vulnerability assessment

Hydrodynamic modelling and machine learning-based methods can effectively model tsunami damage mechanisms and represent an improvement over traditional univariate fragility functions for vulnerability assessments.

Anna Rita Scorzini
Mario Di Bacco
Anawat Suppasri
ResearchOpen Access05 Jun 2024
Communications Earth & Environment

Volume: 5, P: 1-11
Critical research in the water-related multi-hazard field

Heidi Kreibich
Marleen C. de Ruiter
Bruce D. Malamud
Correspondence23 Dec 2021
Nature Sustainability

Volume: 5, P: 90-91
A proposed approach towards minimizing basis risk in tsunami parametric insurance scheme

Yushi Miki
Constance Ting Chua
Fumihiko Imamura
ResearchOpen Access21 Jul 2025
npj Natural Hazards

Volume: 2, P: 1-14
Dataset of Post-Event Survey of the 2024 Noto Peninsula Earthquake Tsunami in Japan

Masatoshi Yuhi
Shinya Umeda
Nobuhito Mori
ResearchOpen Access17 Jul 2024
Scientific Data

Volume: 11, P: 1-8
A Global Multi-Sensor Dataset of Surface Water Indices from Landsat-8 and Sentinel-2 Satellite Measurements

Yohei Miura
Mohammad Shamsudduha
Daisuke Sano
ResearchOpen Access17 Jul 2025
Scientific Data

Volume: 12, P: 1-13
An approach to assessing tsunami risk to the global port network under rising sea levels

Constance Ting Chua
Takuro Otake
Adam D. Switzer
ResearchOpen Access04 Dec 2024
npj Natural Hazards

Volume: 1, P: 1-13
Resonance characteristics of tsunami in bay of Japan by the Hunga Tonga-Hunga Ha’apai volcano eruption on 15th January 2022

Kwanchai Pakoksung
Anawat Suppasri
Fumihiko Imamura
ResearchOpen Access26 Oct 2023
Scientific Reports

Volume: 13, P: 1-16
The near-field tsunami generated by the 15 January 2022 eruption of the Hunga Tonga-Hunga Ha’apai volcano and its impact on Tongatapu, Tonga

Kwanchai Pakoksung
Anawat Suppasri
Fumihiko Imamura
ResearchOpen Access07 Sept 2022
Scientific Reports

Volume: 12, P: 1-15