A point pattern analysis of the distribution of earthquakes in Normandy (France)

Author:

Amorese D.1,Lagarde J.-L.1,Laville E.1

Affiliation:

1. UPRESA CNRS 6143 “M2C” Centre de Geomorphologie Universite de Caen 14032 Caen Cedex , France

Abstract

Abstract A new mathematical method has been developed to guide the interpretation of sparse epicenter distributions. The aim of the technique is the assessment of the significance of epicenter alignments. This assessment is connected to the detection of seismic faults. The method has been tested on synthetic data sets and on seismicity from the San Francisco Bay area. These tests show high detection capabilities. When the method is applied to actual data, in order to discard artificial lines, the interpreter must check the results using geological information. The method is applied to epicenters in Western Normandy: The main structural directions of Normandy are tracked by sparse epicenters.

Publisher

Seismological Society of America (SSA)

Subject

Geochemistry and Petrology,Geophysics

Reference18 articles.

1. Variants for the Hough transform for line detection;Asano;Comput. Geom.,(1996)

2. Pattern recognition applied to earthquake epicenters in California and Nevada;Briggs;Geol. Soc. Am. Bull.,(1977)

3. Carte géologique de la France au 1/100000;Chantraine,(1996)

4. Seismo-tectonics of southeastern Queensland;Cuthbertson,(1990)

5. Cadomian geodynamic evolution of the Northeastern Armorican Massif (Normandy and Maine);Dupret,(1990)

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