论文标题
Makran俯冲带的全面概率海啸危害评估
Comprehensive Probabilistic Tsunami Hazard Assessment in the Makran Subduction Zone
论文作者
论文摘要
在2004年和2011年的海啸之后,科学界毫无前所未有,海啸 - 奔波地区的概率海啸危害评估(PTHA)的作用脱颖而出。麦克兰俯冲带(MSZ)是一个危险的海啸地区。但是,由于其人口密度较低,文献中并不那么突出。在这项研究中,我们评估了MSZ对伊朗和巴基斯坦海岸构成的海啸危害的威胁,无论人口密度如何,整个海岸都呈现了全面的PTHA。我们通过采用事件树和整体建模来解释认知不确定性的来源。还通过概率密度函数来考虑进行差异。此外,我们考虑了小到大幅度的贡献,并使用我们的事件树来创建多种场景作为初始条件。 Funwave-TVD被用来传播这些情况。我们的结果表明,海岸不同位置的危险曲线的传播非常大,并且最大波浪沿海岸某个地方的可能性将超过3 m的范围$ \ \ {13.5、25、52、74、91 \%$ $,用于返回期的$ \ {50,100、250、500、1000、1000、1000 \} $相应。此外,我们发现,如果我们认为它像MSZ的东部一样活跃,那么在Makran西部的超出概率可能会更高。最后,我们证明了差异性变异性的贡献是显着的,并且忽视它会导致明显的危害低估,尤其是在长期返回期间。
After the 2004 and 2011 tsunamis came unprecedented to the scientific community the role of probabilistic tsunami hazard assessment (PTHA) in tsunami-prone areas came to the fore. The Makran subduction zone (MSZ) is a hazardous tsunami-prone region; however, due to its low population density, it is not as prominent in literature. In this study, we assess the threat of tsunami hazard posed to the coast of Iran and Pakistan by the MSZ and present a comprehensive PTHA for the entire coast regardless of population density. We accounted for sources of epistemic uncertainties by employing event tree and ensemble modeling. Aleatory variability was also considered through probability density function. Further, we considered the contribution of small to large magnitudes and used our event trees to create a multitude of scenarios as initial conditions. Funwave-TVD was employed to propagate these scenarios. Our results demonstrate that the spread of hazard curves for different locations on the coast is remarkably large, and the probability that a maximum wave will exceed 3 m somewhere along the coast reaches $\{13.5, 25, 52, 74, 91\}\%$ for return periods $\{50,100, 250, 500, 1000\}$, respectively. Moreover, we found that the exceedance probability could be higher at the west part of Makran for a long return period if we consider it as active as the east part of the MSZ. Finally, we demonstrated that the contribution of aleatory variability is significant, and overlooking it leads to a significant hazard underestimation, particularly for a long return period.