Print Email Facebook Twitter Improved surface?wave retrieval from ambient seismic noise by multi?dimensional deconvolution Title Improved surface?wave retrieval from ambient seismic noise by multi?dimensional deconvolution Author Wapenaar, C.P.A. Ruigrok, E.N. Van der Neut, J.R. Draganov, D.S. Faculty Civil Engineering and Geosciences Department Geotechnology Date 2011-01-15 Abstract The methodology of surface?wave retrieval from ambient seismic noise by crosscorrelation relies on the assumption that the noise field is equipartitioned. Deviations from equipartitioning degrade the accuracy of the retrieved surface?wave Green's function. A point?spread function, derived from the same ambient noise field, quantifies the smearing in space and time of the virtual source of the Green's function. By multidimensionally deconvolving the retrieved Green's function by the point?spread function, the virtual source becomes better focussed in space and time and hence the accuracy of the retrieved surface?wave Green's function may improve significantly. We illustrate this at the hand of a numerical example and discuss the advantages and limitations of this new methodology. Subject Green's functionambient noisesurface wave To reference this document use: http://resolver.tudelft.nl/uuid:db579f8a-3b14-4c1e-949e-d63f883cca2e Publisher American Geophysical Union ISSN 0094-8276 Source Geophysical Research Letters, 38, 2011 Part of collection Institutional Repository Document type journal article Rights (c) 2011 The Author(s)American Geophysical Union Files PDF Wapenaar_2011.pdf 850.1 KB Close viewer /islandora/object/uuid:db579f8a-3b14-4c1e-949e-d63f883cca2e/datastream/OBJ/view