Biblioteca de la Universidad Complutense de Madrid

Using a genetic algorithm for 3-D inversion of gravity data in Fuerteventura (Canary Islands)

Impacto

Montesinos, F. G. y Arnoso, J. y Vieira, R. (2005) Using a genetic algorithm for 3-D inversion of gravity data in Fuerteventura (Canary Islands). International journal of earth sciences, 94 (2). pp. 301-316. ISSN 1437-3254

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URL Oficial: http://link.springer.com/article/10.1007%2Fs00531-005-0471-6




Resumen

The use of genetic algorithms in geophysical inverse problems is a relatively recent development and offers many advantages in dealing with the non-linearity inherent in such applications. We have implemented a genetic algorithm to efficiently invert a set of gravity data. Employing several fixed density contrasts, this algorithm determines the geometry of the sources of the anomaly gravity field in a 3-D context. The genetic algorithms, based on Darwin's theory of evolution, seek the optimum solution from an initial population of models, working with a set of parameters by means of modi. cations in successive iterations or generations. This searching method traditionally consists of three operators ( selection, crossover and mutation) acting on each generation, but we have added a further one, which smoothes the obtained models. In this way, we have designed an efficient inversion gravity method, confirmed by both a synthetic example and a real data set from the island of Fuerteventura. In the latter case, we identify crustal structures related to the origin and evolution of the island. The results show a clear correlation between the sources of gravity field in the model and the three volcanic complexes recognized in Fuerteventura by other geological studies.


Tipo de documento:Artículo
Palabras clave:APPROXIMATE EQUALITY CONSTRAINTS; SEISMIC-REFRACTION; CRUSTAL STRUCTURE; REUNION-ISLAND; EVOLUTION; INFORMATION; LANDSLIDES; LANZAROTE; ANOMALIES; THICKNESS
Materias:Ciencias > Geología > Sismología
Código ID:15924
Depositado:12 Jul 2012 11:38
Última Modificación:24 Nov 2016 12:56

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