Fault Strike Detection Using Satellite Gravity Data Decomposition by Discrete Wavelets: A Case Study from Iran

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Eshaghzadeh a.; Dehghanpour a.; Alsadat Kalantari r.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Journal of Sciences, Islamic Republic of Iran Year:2019 | Volume:30 | Issue:1 Page(s): 41-50

Download Full-Text

View:

240

Download:

211

Cites:

Information Journal Paper

Title

Fault Strike Detection Using Satellite Gravity Data Decomposition by Discrete Wavelets: A Case Study from Iran

Author(s)

Eshaghzadeh a. | Dehghanpour a. | Alsadat Kalantari r. | Issue Writer Certificate

Keywords

Discrete wavelet transform (DWT)

Makran

Saravan Fault

Satellite gravity

Abstract

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 freenoise synthetic gravity data, have been decomposed at level 1 with six discrete twodimensional 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.

Cites

No record.

References

No record.

Cite

APA: Copy

Eshaghzadeh, a., Dehghanpour, a., & Alsadat Kalantari, r.. (2019). Fault Strike Detection Using Satellite Gravity Data Decomposition by Discrete Wavelets: A Case Study from Iran. JOURNAL OF SCIENCES ISLAMIC REPUBLIC OF IRAN, 30(1), 41-50. SID. https://sid.ir/paper/719973/en

Vancouver: Copy

Eshaghzadeh a., Dehghanpour a., Alsadat Kalantari r.. Fault Strike Detection Using Satellite Gravity Data Decomposition by Discrete Wavelets: A Case Study from Iran. JOURNAL OF SCIENCES ISLAMIC REPUBLIC OF IRAN[Internet]. 2019;30(1):41-50. Available from: https://sid.ir/paper/719973/en

IEEE: Copy

a. Eshaghzadeh, a. Dehghanpour, and r. Alsadat Kalantari, “Fault Strike Detection Using Satellite Gravity Data Decomposition by Discrete Wavelets: A Case Study from Iran,” JOURNAL OF SCIENCES ISLAMIC REPUBLIC OF IRAN, vol. 30, no. 1, pp. 41–50, 2019, [Online]. Available: https://sid.ir/paper/719973/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops