LAUSR

In the wake of the unprecedented disaster caused by the 2004 and 2011 tsunamis, efforts by the scientific community have highlighted the important role of probabilistic tsunami hazard assessment (PTHA) in tsunami-prone areas. The Makran subduction zone (MSZ) is a hazardous tsunami-prone region; however, due to its low population density, it is not as prominent in the literature. In this study, we assess the threat a tsunami hazard poses 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 the 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}\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\{13.5, 25, 52, 74, 91\}$$\end{document} for return periods {50,100,250,500,1000}\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\{50,100, 250, 500, 1000\}$$\end{document}, 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 demonstrate that the contribution of aleatory variability is significant, and overlooking it leads to a significant hazard underestimation, particularly for a long return period.