Detection of p- and s-wave arrival times using the discrete wavelet transform in real seismograms

Joint Authors

Arman, Hasan
Colak, Omer H.
Destici, Tahir C.
Ozen, Sukru
Cerezci, Uthman

Source

The Arabian Journal for Science and Engineering. Section A, Science

Issue

Vol. 34, Issue 1A (31 Jan. 2009), pp.79-89, 11 p.

Publisher

King Fahd University of Petroleum and Minerals

Publication Date

2009-01-31

Country of Publication

Saudi Arabia

No. of Pages

11

Main Subjects

Earth Sciences, Water and Environment

Abstract AR

نقدم في البحث حلا جديدا يعتمد على تحويلات مقدمة المويجة لتعيين زمن وصول الموجة P و S في الزلزال.

طورنا خوارزمية تعتمد على التغير في كل من التردد و الطاقة عند الترددات و الطاقة عند الترددات العالية.

قسمنا الشريط الموجي للهزة الأرضية إلى مجالات يحتوي كل منها على 256 عينة طولية بحيث يكون هناك 128 عينة مشتركة بين المجالات المتجاورة و من ثم قسمنا كل مجال إلى تردداته العالية و المنخفضة باستخدام تحويلات مقدمة المويجة.

قمنا بحساب طاقة هذه الترددات و مكنا ذلك من تحديد زمن وصول الموجة P و S و المقرونة بأعلى مستويات الطاقة و بداية حدوث الانكسار ضمن المجال المستخدم.

حوت عينة البحث هذه 200 هزة أرضية مقرونة بحوالي 1000 زمن تسجيلي حقيقي.

Abstract EN

-In this study, a novel solution based on discrete wavelet transform is introduced to determine P- and S-wave arrival times.

An algorithm is developed based on changes in frequencies and energy in high frequency bands.

Firstly, the earthquake seismogram is divided into a series of windows of 256 samples in length, neighboring windows overlapping by 128 samples.

Next, each window is decomposed to its high frequency and low frequency components using discrete wavelet transforms.

After that, energies of these components are calculated.

As a result of these calculations, we have found that energy variations in high frequency bands are effective to calculate the P- and S-wave arrival times.

P- and S-wave arrival times are determined using the frequency components with the highest energy level and first refraction directions in the interested window.

In this study, 200 earthquakes with approximately 1000 real-time records were investigated using the proposed method.

American Psychological Association (APA)

Colak, Omer H.& Destici, Tahir C.& Ozen, Sukru& Arman, Hasan& Cerezci, Uthman. 2009. Detection of p- and s-wave arrival times using the discrete wavelet transform in real seismograms. The Arabian Journal for Science and Engineering. Section A, Science،Vol. 34, no. 1A, pp.79-89.
https://search.emarefa.net/detail/BIM-359001

Modern Language Association (MLA)

Colak, Omer H.…[et al.]. Detection of p- and s-wave arrival times using the discrete wavelet transform in real seismograms. The Arabian Journal for Science and Engineering. Section A, Science Vol. 34, no. 1A (Jan. 2009), pp.79-89.
https://search.emarefa.net/detail/BIM-359001

American Medical Association (AMA)

Colak, Omer H.& Destici, Tahir C.& Ozen, Sukru& Arman, Hasan& Cerezci, Uthman. Detection of p- and s-wave arrival times using the discrete wavelet transform in real seismograms. The Arabian Journal for Science and Engineering. Section A, Science. 2009. Vol. 34, no. 1A, pp.79-89.
https://search.emarefa.net/detail/BIM-359001

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 88-89

Record ID

BIM-359001