Tsunami Forecasting Based on Deepwater-Station Dataстатья
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Дата последнего поиска статьи во внешних источниках: 19 октября 2015 г.
Аннотация:Short-term forecasting of tsunamis is proposed by sea-level prediction based on the data of a dense network of deepwater stations. This approach was applied to calculate tsunami waves on March 11, 2011 in the Kii Peninsular coast (Japan). Variations in bottom pressure recorded by DONET stations were used as the input data. The calculation results were compared with the data of JMA coastal tide gauges. Only the two to three first waves that were recorded with coastal tide gauges that were closest to the DONET system were reconstructed with sufficient accuracy. The reasons for the inconsistency between the measured and predicted sea-level variations are discussed. Principles of optimal layout of deep-water stations for tsunami forecasting are suggested.