Tsunamis are unpredictable and infrequent but potentially large impact natural disasters. To
prepare, mitigate and prevent losses from tsunamis, probabilistic hazard and risk analysis …

Applying probabilistic methods to infrequent but devastating natural events is intrinsically
challenging. For tsunami analyses, a suite of geophysical assessments should be in …

Abstract The 6 February 2023 M w 7.8 Pazarcık and subsequent M w 7.5 Elbistan
earthquakes generated strong ground shaking that resulted in catastrophic human and …

We develop new empirical scaling laws for rupture width W⁠, rupture length L⁠, rupture
area A⁠, and average slip D⁠, based on a large database of rupture models. The database …

Two sets of predictive models are developed based on the machine learning (ML) and
general orthogonal regression (GOR) approaches for predicting the seismic source …

Earthquake-triggered giant tsunamis can cause catastrophic disasters to coastal
populations, ecosystems and infrastructure on scales over thousands of kilometres. In …

Here, I present a database of> 160 finite fault models for all earthquakes of M 7.5 and above
since 1990, created using a consistent modeling approach. The use of a common approach …

This paper describes geomorphologic evidence for the principal neotectonic features of
Myanmar and its immediate surroundings. We combine this evidence with published …

This paper derives source scaling relations between rupture dimensions and moment
magnitude for subduction-zone earthquakes, separating between interface events occurring …

Probabilistic hazard assessments are a fundamental tool for assessing the threats posed by
hazards to communities and are important for underpinning evidence-based decision …