Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/137184
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dc.contributor.authorCavalier, Paul Pholes_ES
dc.contributor.authorBaghai-Wadji, Alireza Res_ES
dc.contributor.authorPoprawski, Yohannes_ES
dc.contributor.authorInggs, M. R.es_ES
dc.date.accessioned2016-09-22T09:59:38Z-
dc.date.available2016-09-22T09:59:38Z-
dc.date.issued2016-09-
dc.identifier.citationJournal of Applied Geophysics, 134: 89-99 (2016)es_ES
dc.identifier.issn0926-9851-
dc.identifier.urihttp://hdl.handle.net/10261/137184-
dc.description.abstractWavelet methods have been used in potential fields study to estimate source properties such as depth or structural index, through the analysis of Wavelet Transform Modulus Maxima Lines (WTMML) intersections and slopes at high scales. Little has been done on the study of maximum points of the wavelet diagram, that we call here Maximum Wavelet Coefficient Scales (MWCS). Previous works have shown interesting correlations between MWCS and source depths, depending on the wavelet used in regards to the source nature and the data derivative order. In this paper, we introduce an empirical law involving spectral parameters that have not been studied so far, which allows analytical calculation of the MWCS, knowing the source characteristics and using certain wavelets. In return, the study of MWCS allows recovering source characteristics from the use of a single wavelet, without prior knowledge on the source. We demonstrate through synthetic models that the new capability of predicting the source type and depth according to the wavelet coefficient behaviour allows new ways of potential fields’ sources characterization and identification. We show an application of the formula on a real case example in the Uinta Mountains (Utah, USA). © 2016 Elsevier B.V.es_ES
dc.description.sponsorshipThe lead author (P. Cavalier) acknowledges the Claude Leon Foundation for funding the project.es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsclosedAccesses_ES
dc.subjectGravityes_ES
dc.subjectInverse theoryes_ES
dc.subjectMagneticses_ES
dc.subjectPotential fieldses_ES
dc.subjectWavelet transformes_ES
dc.titleAn empirical law for wavelet maxima interpretation of potential fields: Application to the Uinta Mountains rangees_ES
dc.typeartículoes_ES
dc.identifier.doi10.1016/j.jappgeo.2016.08.008-
dc.description.peerreviewedPeer reviewedes_ES
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.jappgeo.2016.08.008es_ES
dc.relation.csices_ES
oprm.item.hasRevisionno ko 0 false*
dc.type.coarhttp://purl.org/coar/resource_type/c_6501es_ES
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.openairetypeartículo-
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