A Web-Based Online Tsunami Warning System for Thailand's Andaman Coastline

Abstract

The 2004 Indian Ocean tsunami caused significant damages to Thailand. This great experience enhances the necessity of an early warning system. This paper describes three techniques for developing the tsunami warning system (Numerical modeling, Neural network modeling and web-based online displaying). Hypothetical earthquake and tsunami sources are obtained from past events and are mostly concentrated in the Andaman microplate. The GRNN is seen to provide reasonable predictions of wave heights for variable location, magnitude and depth of earthquake. The obtained online tsunami database warning system will be very useful for Thailand's response measure against the future damages.

Use of OR in earthquake operations management: A review of the literature and roadmap for future research

“…Earthquake location/magnitude prediction Machine learning [129,131] Tsunami wave height prediction Machine learning [130,132]…”

“…Mathematical programing [89,[119][120][121][122][123][124]] Heuristic [125][126][127] Decision analysis [122] Emergency response & relief chain coordination Soft OR [128] Early warning system Earthquake/tsunami prediction and notification Machine learning [129][130][131][132][133][134][135][136] Simulation [137,138]…”

“…This is critical to improving the performance of EEWSs, as excessive false alarm rates cant impose a heavy cost in terms of service loss, undue panic, and diminishing confidence in EEWSs [102]. Machine learning has also been used for initial detection of earthquakes from siesmic sensor data [133][134][135], advanced prediction of the location and magnitude of earthquakes [129,131], real-time classifcation of near-versus far-source earthquakes, and tsunami wave height estimation [130,132].…”