Validating a Tsunami Vulnerability Assessment Model (the PTVA Model) Using Field Data from the 2004 Indian Ocean Tsunami

The “PTVAM” tsunami vulnerability assessment model [Papathoma and Dominey-Howes: 2003, Nat. Hazards Earth Syst. Sci. 3, 733–744; Papathoma et al.: 2003, Nat. Hazards Earth Syst. Sci. 3, 377–389], like all models, requires validation. We use the results from post-tsunami surveys in the Maldives following the December 26, 2004 Indian Ocean tsunami to ‘evaluate’ the appropriateness of the PTVAM attributes to understanding spatial and temporal vulnerability to tsunami damage and loss. We find that some of the PTVAM attributes are significantly important and others moderately important to understanding and assessing vulnerability. Some attributes require further investigation. Based upon the ground-truth data, we make several modifications to the model framework and propose a revised version of the PTVAM (PTVAM 2).     

南海主要岛礁概率海啸风险评估

影响地震海啸的震源参数众多且具有很强的不确定性,充分评估海啸风险需要大量的情景模拟.本文基于建立的概率海啸风险模型,采用一种高效的海啸模拟方法,评估了南海主要岛礁的概率海啸风险.通过对历史地震数据的分析,综合考虑震级、震中位置、震源深度的随机性,形成了百万数量级的潜在地震情景集,并通过叠加近似方法实现了大量地震情景引发...     

海啸初期诱发形成阶段的研究

对近年来有关海啸初期阶段几种激发模式的理论与实验研究的成果做了总体的回顾与阐述,同时对一些存在的问题和前人未给予说明的地方做了些扩充.