1988
DOI: 10.4294/jpe1952.36.255
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A spectral approach to moho depths estimation from gravity measurements in Epirus (NW Greece).

Abstract: We compute crustal thickness in Epirus (NE Greece), from spectral analysis of the Bouguer gravity field.Moho depths were established from the slope of the log-power radial spectrum at the lower end of the wavenumber band and were found to vary from 31 to 38 km. This is in agreement with the results obtained by other investigators employing seismological methods of analysis.

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Cited by 47 publications
(19 citation statements)
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“…Breaks in the slope of the power spectrum curve represent density discontinuities [Gomez-Ortiz et al, 2005]. The linear segment at the lower frequencies is assumed to be related to the Moho depth since the crust/mantle boundary represents a major density interface [Tselentis et al, 1988] since the maximum depth of the estimated density interface is directly related to the dimension of the subregion used in the investigation (~120 × 120 km in this case).…”
Section: Moho Depthmentioning
confidence: 76%
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“…Breaks in the slope of the power spectrum curve represent density discontinuities [Gomez-Ortiz et al, 2005]. The linear segment at the lower frequencies is assumed to be related to the Moho depth since the crust/mantle boundary represents a major density interface [Tselentis et al, 1988] since the maximum depth of the estimated density interface is directly related to the dimension of the subregion used in the investigation (~120 × 120 km in this case).…”
Section: Moho Depthmentioning
confidence: 76%
“…We used the 2‐D radially averaged power spectral analysis developed by Tselentis et al . [] for the estimation of the thickness of the crust beneath the ORZ and the surroundings. This method has been widely used for both magnetic and gravity data [ Tselentis et al ., ; Maus and Dimri , ; Maden , ; Hussein et al ., ].…”
Section: Methodsmentioning
confidence: 99%
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“…The spectral curves were constructed by plotting “ln (Power Spectrum)” against the “wave number (k)” (Figures a and b). The depth to differing gravity anomalies representing boundaries of significant density contrast in the subsurface such as the Moho and the LAB can be estimated by fitting straight lines through linear segments of the spectral curve (Tselentis et al, ). Linear segments of the spectral curve that correspond to lower wave numbers represent deeper density contrast boundaries and higher wave number segments represent shallower density contrast boundaries (Gomez‐Ortiz et al, ; Tselentis et al, ).…”
Section: Gravity Data Methods and Resultsmentioning
confidence: 99%
“…Due to the two-dimensional character of the dataset, radial averaging of the power spectrum was performed to obtain a onedimensional representation [39][40][41][42][43]. Confidence limits for the depth estimations were calculated from the standard errors of the slopes of the best fitting lines for the linear segments.…”
Section: Power Spectral Analysismentioning
confidence: 99%