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:: Volume 4, Issue 2 (11-2014) ::
JGST 2014, 4(2): 123-137 Back to browse issues page
Determination of the Best Window Size and Structural Index in Estimating Moho Depth through Euler Deconvolution Method (Case Study: The Zagros Zone)
A. R. Safari , M. A. Sharifi , A. Bahroudi , S. Parang *
Abstract:   (7132 Views)
This study aims at finding Moho Depth in the Zagros zone and estimating crustal thickness through Euler Deconvolution method. Euler Deconvolution method is an automatic one to estimate depth, shape and place of magnetic and gravity sources which is based on using field derivatives in Euler`s homogenous equation. In using Euler Deconvolution method it is important to identify structural index and window size of estimator, these parameters strongly affect the final results. The study first uses spherical harmonic coefficients of EIGEN-GL04C geopotential model to calculate free air gravity anomaly in φ=29.25 ͦ - 34.75 ͦ & λ= 48.25 ͦ - 53.75 ͦ region, then Moho Depth was estimated using free air gravity anomaly and Euler Deconvolution method for various structural indices and window sizes. The best structural index and window size were resulted from comparing Moho depth of Euler Deconvolution and of receiver function method (based on seismic studies) in 14 seismic stations of the region and finally the results were compared to CRUST 2.0 model. Results declare that for 0.5 structural index and 40-45 km window size the best Moho depth is estimated for the region.
Keywords: Euler Deconvolution, Moho depth, Free Air Gravity Anomaly, Crustal Structure
Full-Text [PDF 631 kb]   (2584 Downloads)    
Type of Study: Research | Subject: Geo&Hydro
Received: 2015/01/21
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A. R. Safari, M. A. Sharifi, A. Bahroudi, S. Parang. Determination of the Best Window Size and Structural Index in Estimating Moho Depth through Euler Deconvolution Method (Case Study: The Zagros Zone). JGST 2014; 4 (2) :123-137
URL: http://jgst.issgeac.ir/article-1-248-en.html


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Volume 4, Issue 2 (11-2014) Back to browse issues page
نشریه علمی علوم و فنون نقشه برداری Journal of Geomatics Science and Technology