An example of solution of the problem of quantitative evaluation of the tsunami hazard is considered using tsunami data for the Kamchatka coast. This approach is based on the probability model of the Poisson type for tsunami process, with parameters calculated using geophysical data. The quality of the model used for tsunami risk estimation depends on the tsunami incidence frequency f and characteristic tsunami height H~*. The parameters f and H~* are not stationary and we refer them to their evolution as dispersion. Three models using different tsunami data sets were considered: a homogeneous model based on a 50-year data set, a second model using the same set with additional 15-meter run-up data on Khalaktyrka coast in eastern Kamchatka caused by the 1841 tsunami, and a third model using the additional paleotsunami data from Khalaktyrka lake. The comparison between them allows to conclude, that using the paleotsunami data for an elected point combined with the historical data makes the dispersion of the tsunami process parameters f and H~* much less.
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机译：考虑使用Kamchatka海岸的海啸数据考虑海啸危害的定量评估问题的一个例子。该方法基于海啸过程的泊松类型的概率模型，使用地球物理数据计算的参数。用于海啸风险估计的模型的质量取决于海啸发生频率F和特征海啸高度H〜*。参数f和h〜*不是静止的，我们将它们引用到他们的演变中作为分散。考虑了使用不同海啸数据集的三种模型：一个基于50年的数据集的同类模型，第二种模型使用与1841海啸的东堪塔卡省Khalaktyrka海岸的额外15米升降数据。使用来自Khalaktyrka湖的额外Paleotsunami数据的第三种模型。 The comparison between them allows to conclude, that using the paleotsunami data for an elected point combined with the historical data makes the dispersion of the tsunami process parameters f and H~* much less.
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