Inferring the depth of pre-instrumental earthquakes from macroseismic intensity data: a case-history from Northern Italy. [PDF]
Sbarra P +5 more
europepmc +1 more source
Seismic hazard assessment for Iran in terms of macroseismic intensity
AbstractWe present the results of probabilistic seismic hazard assessment for Iran based on a statistical procedure specifically developed to manage macroseismic intensity data. This method takes into careful consideration the specific features of such data, which are characterized as ordinal, discrete, and confined within a finite interval, ensuring a
Shabani, E. +5 more
openaire +3 more sources
Validation of seismic hazard curves using a calibrated 14 ka lacustrine record in the Eastern Alps, Austria. [PDF]
Daxer C +5 more
europepmc +1 more source
Development of a macroseismic intensity database for all French communities.
L'information des citoyens sur les risques majeurs est un droit et il est ainsi important de mettre à disposition des données sur l'exposition d'un territoire vis-à-vis du risque sismique, notamment sur la sismicité historique. Le BRGM a ainsi mis en place une base de données permettant de faire état de niveaux d'intensités présumés qui seraient ...
Rey, Julien +3 more
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Complex trans-ridge normal faults controlling large earthquakes. [PDF]
Bello S +7 more
europepmc +1 more source
Near-Real-Time Strong Motion Acquisition at National Scale and Automatic Analysis. [PDF]
Costa G +10 more
europepmc +1 more source
Investigating the potential effectiveness of earthquake early warning across Europe. [PDF]
Cremen G, Galasso C, Zuccolo E.
europepmc +1 more source
Macroseismic intensity probability in the context of Bayesian Natural Neighbours
Abstract The spatial distribution of seismic effects, quantified in terms of macroseismic intensity, forms the basis for a wide range of seismic analyses and hazard assessments. Voronoi tessellation provides an effective framework for representing discrete macroseismic observations in two dimensions.
Franco Pettenati, Massimiliano Iurcev
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Correction: Machine learning for prompt estimation of macroseismic intensity from seismometric data in Italy. [PDF]
Patelli L +6 more
europepmc +1 more source
Converting PSH estimates in terms of ground motion intensity into macroseismic intensity estimates
Abstract Methodological aspects relative to the conversion of probabilistic hazard evaluations in terms of ground motion intensity into hazard in terms of macroseismic Intensity. As a first step, the probabilistic relationships between ground motion intensity and macroseismic intensity are critically re-examined to account for the ...
openaire +1 more source

