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Spatial forecasting of seismicity provided from Earth observation by space satellite technology.
Farolfi, Gregorio; Keir, Derek; Corti, Giacomo; Casagli, Nicola.
Affiliation
  • Farolfi G; Italian Military Geographic Institute, Firenze, Italy. gregorio.farolfi@unifi.it.
  • Keir D; Department of Earth Sciences, University of Firenze, Firenze, Italy. gregorio.farolfi@unifi.it.
  • Corti G; Italian Military Geographic Institute, Firenze, Italy.
  • Casagli N; School of Ocean and Earth Science, University of Southampton, Southampton, United Kingdom.
Sci Rep ; 10(1): 9696, 2020 Jun 16.
Article in En | MEDLINE | ID: mdl-32546797
ABSTRACT
Understanding the controls on the distribution and magnitude of earthquakes is required for effective earthquake forecasting. We present a study that demonstrates that the distribution and size of earthquakes in Italy correlates with the steady state rate at which the Earth's crust moves. We use a new high-resolution horizontal strain rate (S) field determined from a very dense velocity field derived from the combination of Global Navigation Satellite System (GNSS) and satellite radar interferometry from two decades of observations. Through a statistical approach we study the correlation between the S and the magnitude of M ≥ 2.5 earthquakes that occurred in the same period of satellite observations. We found that the probability of earthquakes occurring is linked to S by a linear correlation, and more specifically the probability that a strong seismic event occurs doubles with the doubling of S. It also means that lower horizontal strain rate zone can have as large earthquakes as high horizontal strain rate zones, just with a reduced probability. The work demonstrates an independent and quantitative tool to spatially forecast seismicity.

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Sci Rep Year: 2020 Document type: Article Affiliation country: Italia

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Sci Rep Year: 2020 Document type: Article Affiliation country: Italia