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Fault Strike Detection Using Satellite Gravity Data Decomposition by Discrete Wavelets: A Case Study from Iran | ||
| Journal of Sciences, Islamic Republic of Iran | ||
| مقاله 5، دوره 30، شماره 1، فروردین 2019، صفحه 41-50 اصل مقاله (766.92 K) | ||
| نوع مقاله: Original Paper | ||
| شناسه دیجیتال (DOI): 10.22059/jsciences.2019.69631 | ||
| نویسندگان | ||
| ata eshaghzadeh* 1؛ A. Dehghanpour2؛ Roghayeh Alsadat kalantari1 | ||
| 1Graduate student of geophysics, Institute of Geophysics, University of Tehran, Iran | ||
| 2Islamic Azad University, Science and Research Branch, Tehran, Islamic Republic of Iran | ||
| چکیده | ||
| Estimating the gravity anomaly causative bodies boundary can facilitate the gravity field interpretation. In this paper, 2D discrete wavelet transform (DWT) is employed as a method to delineate the boundary of the gravity anomaly sources. Hence, the GRACE’ satellite gravity data is decomposed using DWT. DWT decomposites a single approximation coefficients into four distinct components: the approximation, horizontal, vertical and diagonal. For evaluating the efficiency of wavelets, both the noisy and free-noise synthetic gravity data, have been decomposed at level 1 with six discrete two-dimensional wavelets. In this manuscript, the satellite gravity data of a part of the Makran region (in the south-east of Iran) is decomposed by DWT in order to detect the Saravan Fault trend. The outcome indicates the acceptable performance of the Haar and Biorthogonal mother wavelets in detecting the edges of the real and synthetic gravity anomaly sources. Also, the results demonstrate that the satellite gravity data can be appropriate to study the regional geological structures, particular in revealing the hidden faults where have great importance in earthquake risk analysis. | ||
| کلیدواژهها | ||
| Discrete wavelet transform (DWT)؛ Makran؛ Saravan fault؛ Satellite gravity | ||
| مراجع | ||
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