ASSIMILATION OF REAL-TIME DEEP SEA BUOY DATA FOR TSUNAMI FORECASTING ALONG THAILAND’S ANDAMAN COASTLINE

Science of Tsunami Hazards

关键词: Numerical modeling;    Neural network modeling;    Web-based online;    Data assimilation;    GRNN;    DART Buoy;   

DOI  :  

来源: DOAJ

【 摘 要 】

The occurrence of 2004 Indian Ocean tsunami enhanced the necessity for a tsunami early warning system for countries bordering the Indian Ocean, including Thailand. This paper describes the assimilation of real-time deep sea buoy data for tsunami forecasting along Thailand’s Andaman coastline. Firstly, the numerical simulation (by the linear and non-linear shallow water equations) was carried out for hypothetical cases of tsunamigenic earthquakes with epicenters located in the Andaman micro plate. Outputs of the numerical model are tsunami arrival times and the maximum wave height that can be expected at 58 selected communities along Thailand Andaman coastline and two locations of DART buoys in the Indian Ocean. Secondly, a “neural” network model (GRNN) was developed to access the data from the numerical computations for subsequent construction of a tsunami database that can be displayed on a web-based system. This database can be updated with the integration from two DART buoys and from several GRNN models.

【 授权许可】

Unknown