Print Email Facebook Twitter Application of Seismic Interferometry by Multidimensional Deconvolution to Earthquake Data Recorded in Malargüe, Argentina Title Application of Seismic Interferometry by Multidimensional Deconvolution to Earthquake Data Recorded in Malargüe, Argentina Author Shirmohammadi, F. (TU Delft Applied Geophysics and Petrophysics; University of Tehran) Draganov, D.S. (TU Delft Applied Geophysics and Petrophysics) Hatami, Mohammad Reza (University of Tehran) Weemstra, C. (TU Delft Applied Geophysics and Petrophysics) Date 2021 Abstract Seismic interferometry (SI) refers to the principle of generating new seismic responses using crosscorrelations of existing wavefield recordings. In this study, we report on the use of a specific interferometric approach, called seismic interferometry by multidimensional deconvolution (SI by MDD), for the purpose of retrieving surface-wave responses. In theory, SI by MDD suffers less from irregularities in the distribution of (passive) sources than conventional SI. Here, we confirm this advantage for the application to surface waves originating from regional earthquakes close to Central Chile. For that purpose, we use the Malargüe seismic array in Argentina. This T-shaped array consists of two perpendicular lines of stations, which makes it rather suitable for the application of SI by MDD. Comparing the responses retrieved through SI by MDD to the responses retrieved using conventional SI, we find that the application of SI by MDD results in surface-wave responses that are both more accurate and more stable than surface-wave responses that are retrieved using conventional SI. That is, our results demonstrate that SI by MDD suffers less from non-uniformly distributed earthquakes and differences in the power spectra of earthquake responses. In addition, we show that SI by MDD mitigates the effect of site amplification on the retrieved surface waves. Subject Multidimensional deconvolutionOne-sided illuminationSeismic interferometrySite amplificationSurface wavesVirtual-source responses To reference this document use: http://resolver.tudelft.nl/uuid:19a0f5c2-50c9-4733-b6ec-3d514da133c8 DOI https://doi.org/10.3390/rs13234818 ISSN 2072-4292 Source Remote Sensing, 13 (23) Part of collection Institutional Repository Document type journal article Rights © 2021 F. Shirmohammadi, D.S. Draganov, Mohammad Reza Hatami, C. Weemstra Files PDF remotesensing_13_04818_v2.pdf 13.05 MB Close viewer /islandora/object/uuid:19a0f5c2-50c9-4733-b6ec-3d514da133c8/datastream/OBJ/view