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Attenuation of Ground Roll Data With Co-Core Trace Transform Method | OMICS International | Abstract
ISSN: 2157-7617

Journal of Earth Science & Climatic Change
Open Access

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Research Article

Attenuation of Ground Roll Data With Co-Core Trace Transform Method

Samira J1* and Mohammad M2

1Department of Geophysics, College of Basic Sciences, North Tehran Branch, Islamic Azad University, Tehran, Iran

2National Center for Earthquake Prediction, International Institute of Seismology and Earthquake Engineering, Tehran, Iran

*Corresponding Author:
Samira Jaafari
Department of Geophysics
College of Basic Sciences
North Tehran Branch
Islamic Azad University, Tehran, Iran
Tel: 982122565149
Fax: 982122547787
E-mail: [email protected]

Received date: January 23, 2017; Accepted date: March 13, 2017; Published date: March 16, 2017

Citation: Samira J, Mohammad M (2017) Attenuation of Ground Roll Data With Co-Core Trace Transform Method. J Earth Sci Clim Change 8:391. doi:4172/2157-7617.1000391

Copyright: © 2017 Samira J, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.


Since the reflectors are favourable in the seismic records, and most of these records are impaired due to presence of noise particularly surface waves, therefore, applying the proper way to remove or weaken the noise with minimal damage to the reflectors in seismic data processing steps is important and undeniable. Attenuation of ground roll data with co-core trace transform method is the purpose of this article so that a two-dimensional image is converted into another one with the ρ and Ф parameters. In the following the co-core trace transform method was applied on the synthetic and real data in an area in southern Iran. This method is able to decrease the noise by reducing the amplitude and increasing the signalto noise ratio. The results were compared with F-K finally.