Abstract While earthquakes can have a devastating impact on the economic growth and social welfare of earthquake prone regions, probabilistic seismic risk assessment be employed to assess mitigate such risks from future destructive events. In previous study (Sianko et al. in Bull Earthq Eng 18:2523–2555, 2020), hazard analysis (PSHA) tool based Monte-Carlo approach, was developed predict for hi...

SUMMARY In this paper, we simulate the earthquake that hit city of L’Aquila on 2009 April 6 using SPEED (SPectral Elements in Elastodynamics with Discontinuous Galerkin), an open-source code able to propagation seismic waves complex 3-D domains. Our model includes accurate reconstruction Quaternary deposits, according most up-to-date data obtained from Microzonation studies Central Italy and a ...

Abstract Recent studies found that some structural damage can be attributed to the effect of surface waves. A shallow underground structure may heavily influenced by waves, which makes lose energy over distance more slowly than body This study deals with evaluating Rayleigh waves (R-waves) interaction cavities on seismic ground response and amplification pattern using Finite Element Method (FEM...

Abstract The latest studies concerning seismic risk assessment in Italy were developed without considering the site geo-lithological effects, thus limiting to rock soil type. In this study, for evaluation of amplification we used results recent works based on Italian microzonation data. As first study is performed entire territory at municipality scale, factors (AFs) have been assigned chief to...

We analyzed 12 years of continuous seismic data acquired by two stations in Central Apennines (Italy) with the aim to investigate temporal variations H/V spectral ratios. The are located epicentral areas main strong motion earthquakes occurred Italy last (L’Aquila 06 April 2009, Mw 6.1; Amatrice 24 August 2016, 6.0; Visso 26 October 5.9, and Norcia 30 6.5). ratios computed both on recorded stat...

Permafrost in the NE European Russian Arctic is suffering from some of highest degradation rates world. The rising mean annual air temperature causes warming permafrost, increase active layer thickness (ALT), and reduction permafrost extent. These phenomena represent a serious risk for infrastructures human activities. ALT characterization important to estimate degree degradation. We used multi...