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Statements

Subject Item
n2:RIV%2F00216208%3A11320%2F12%3A10124587%21RIV13-GA0-11320___
rdf:type
n8:Vysledek skos:Concept
dcterms:description
To retrieve the parameters of a seismic source from seismograms means to deconvolve the response of the medium from the seismic records. Thus, in general, source parame- ters are determined from both the seismograms and the Green function describing the properties of the medium in which the earthquake focus is buried. The quality of each of these two data sets is equally significant for a successful determination of the source characteristics. As a rule, both the sets are subject to contamination by effects, which decrease the resolution of the source parameters. Seismic records are usually contami- nated by noise which appears as a spurious signal not related to the source. Error in the Green function is usually caused by the use of an improper model of the medium due to generally common poor knowledge of the seismic velocity of the area under study. Then, the phenomena of the structure which are not modelled in the Green function are assigned to the source where they distort the source mechanism. To retrieve the parameters of a seismic source from seismograms means to deconvolve the response of the medium from the seismic records. Thus, in general, source parame- ters are determined from both the seismograms and the Green function describing the properties of the medium in which the earthquake focus is buried. The quality of each of these two data sets is equally significant for a successful determination of the source characteristics. As a rule, both the sets are subject to contamination by effects, which decrease the resolution of the source parameters. Seismic records are usually contami- nated by noise which appears as a spurious signal not related to the source. Error in the Green function is usually caused by the use of an improper model of the medium due to generally common poor knowledge of the seismic velocity of the area under study. Then, the phenomena of the structure which are not modelled in the Green function are assigned to the source where they distort the source mechanism.
dcterms:title
Effects of 1-D versus 3-D velocity models on moment tensor inversion in the Dobrá Voda locality at the Malé Karpaty region, Slovakia Effects of 1-D versus 3-D velocity models on moment tensor inversion in the Dobrá Voda locality at the Malé Karpaty region, Slovakia
skos:prefLabel
Effects of 1-D versus 3-D velocity models on moment tensor inversion in the Dobrá Voda locality at the Malé Karpaty region, Slovakia Effects of 1-D versus 3-D velocity models on moment tensor inversion in the Dobrá Voda locality at the Malé Karpaty region, Slovakia
skos:notation
RIV/00216208:11320/12:10124587!RIV13-GA0-11320___
n8:predkladatel
n18:orjk%3A11320
n3:aktivita
n14:P
n3:aktivity
P(GAP210/10/0736)
n3:dodaniDat
n5:2013
n3:domaciTvurceVysledku
n13:3023028
n3:druhVysledku
n15:O
n3:duvernostUdaju
n12:S
n3:entitaPredkladatele
n9:predkladatel
n3:idSjednocenehoVysledku
133516
n3:idVysledku
RIV/00216208:11320/12:10124587
n3:jazykVysledku
n16:eng
n3:klicovaSlova
Slovakia; region; Karpaty; Malée; locality; Voda; Dobrá; inversion; tensor; moment; models; velocity; 3-D; versus; 1-D; Effects
n3:klicoveSlovo
n6:Slovakia n6:Voda n6:inversion n6:tensor n6:locality n6:Effects n6:moment n6:region n6:Mal%C3%A9e n6:models n6:3-D n6:1-D n6:versus n6:Karpaty n6:Dobr%C3%A1 n6:velocity
n3:kontrolniKodProRIV
[A259F164E171]
n3:obor
n4:DC
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
2
n3:projekt
n7:GAP210%2F10%2F0736
n3:rokUplatneniVysledku
n5:2012
n3:tvurceVysledku
Bulant, Petr Jechumtálová, Zuzana
n17:organizacniJednotka
11320