Analysis of the 30 October 2020 İzmir-Samos Tsunami Measurements with Compressive Sensing Method

Ali Rıza Alan; Cihan Bayındır

Makale detayları

Analysis of the 30 October 2020 İzmir-Samos Tsunami Measurements with Compressive Sensing Method

Yazarlar:

Ali Rıza Alan | Cihan Bayındır

Yayıncı:

Fırat University

Ana Başlıklar:

Kıyı Bilimleri ve Mühendisliği

Dergi:

Fırat Üniversitesi Mühendislik Bilimleri Dergisi Vol.36 Issue 2, pp.837-845

Belge Tipi:

Makale

Yayın Tarihi:

9/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001317086

pISSN:

1308-9072

Anahtar kelimeler:

Özet:

 Although they do not occur as frequently as other natural disasters, tsunamis can cause tremendous damage to the near-shore ecosystem. On October 30, 2020, at 12:51 p.m. an earthquake with a magnitude of 6.9 Mw occurred at UTC 2:51 p.m. GMT03:00. The epicenter of the earthquake is located off the Greek island of Samos, approximately 23 km south of Turkeys İzmir province. This earthquake caused the İzmir-Samos Aegean tsunami, which has the same name, on October 30, 2020. In this research, the efficient reconstruction of the hydrodynamic time series of this tsunami with efficient measurements was examined using the Compressive Sensing CS algorithm, which is an effective detection technique applied to observational data. For this purpose, tsunami time series records obtained from Kos Marina and Bodrum stations of the UNESCO data portal were used. The potential application of effectively measuring and reconstructing tsunami water surface fluctuation time series and the Fourier spectra of these series with the CS algorithm has been investigated. It has been shown that tsunami parameters such as water surface fluctuations, horizontal and vertical tsunami velocities, and tsunami flood discharge time series can be successfully measured, analyzed, and recorded using CS. In addition, potential future directions and the usefulness and applicability of our findings are also examined.

 Although they do not occur as frequently as other natural disasters, tsunamis can cause tremendous damage to the near-shore ecosystem. On October 30, 2020, at 12:51 p.m. an earthquake with a magnitude of 6.9 Mw occurred at UTC 2:51 p.m. GMT03:00. The epicenter of the earthquake is located off the Greek island of Samos, approximately 23 km south of Turkeys İzmir province. This earthquake caused the İzmir-Samos Aegean tsunami, which has the same name, on October 30, 2020. In this research, the efficient reconstruction of the hydrodynamic time series of this tsunami with efficient measurements was examined using the Compressive Sensing CS algorithm, which is an effective detection technique applied to observational data. For this purpose, tsunami time series records obtained from Kos Marina and Bodrum stations of the UNESCO data portal were used. The potential application of effectively measuring and reconstructing tsunami water surface fluctuation time series and the Fourier spectra of these series with the CS algorithm has been investigated. It has been shown that tsunami parameters such as water surface fluctuations, horizontal and vertical tsunami velocities, and tsunami flood discharge time series can be successfully measured, analyzed, and recorded using CS. In addition, potential future directions and the usefulness and applicability of our findings are also examined.

 Although they do not occur as frequently as other natural disasters, tsunamis can cause tremendous damage to the near-shore ecosystem. On October 30, 2020, at 12:51 p.m. an earthquake with a magnitude of 6.9 Mw occurred at UTC 2:51 p.m. GMT03:00. The epicenter of the earthquake is located off the Greek island of Samos, approximately 23 km south of Turkeys İzmir province. This earthquake caused the İzmir-Samos Aegean tsunami, which has the same name, on October 30, 2020. In this research, the efficient reconstruction of the hydrodynamic time series of this tsunami with efficient measurements was examined using the Compressive Sensing CS algorithm, which is an effective detection technique applied to observational data. For this purpose, tsunami time series records obtained from Kos Marina and Bodrum stations of the UNESCO data portal were used. The potential application of effectively measuring and reconstructing tsunami water surface fluctuation time series and the Fourier spectra of these series with the CS algorithm has been investigated. It has been shown that tsunami parameters such as water surface fluctuations, horizontal and vertical tsunami velocities, and tsunami flood discharge time series can be successfully measured, analyzed, and recorded using CS. In addition, potential future directions and the usefulness and applicability of our findings are also examined.

 Diğer doğal afetler kadar sık meydana gelmeseler de tsunamiler kıyıya yakın ekosisteme çok büyük zararlar verebilir. 30 Ekim 2020de saat 12:51 p.m. UTCde 2:51 p.m. GMT03:00 6,9 Mw büyüklüğünde bir deprem meydana gelmiştir. Depremin merkez üssü, Türkiyenin İzmir ilinin yaklaşık 23 km güneyinde, Yunanistanın Samos adası açıklarında bulunmaktadır. Bu deprem 30 Ekim 2020de kendisiyle aynı adı taşıyan İzmir-Samos Ege tsunamisine neden olmuştur. Bu araştırmada, gözlemsel verilere uygulanan etkili bir algılama tekniği olan Sıkıştırılabilir Algılama CS algoritması kullanılarak bu tsunaminin hidrodinamik zaman serilerinin verimli ölçümlerle geri çatılması incelenmiştir. Bu amaçla UNESCO veri portalının Kos Marina ve Bodrum istasyonlarından elde edilen tsunami zaman serisi kayıtlarından faydalanılmıştır. Tsunami su salınım seviyesi zaman serilerinin ve bu serilerin Fourier spektrumlarının CS algoritmasıyla etkili bir şekilde ölçülerek geri çatılmasının potansiyel uygulaması araştırılmıştır. CS kullanılarak su seviyesi salınımı, yatay ve düşey tsunami hızları, tsunami taşkın debisi zaman serileri gibi tsunami parametrelerinin başarıyla ölçülebileceği, analiz edilebileceği ve kayıt altına alınabileceği gösterilmiştir. Ayrıca gelecekteki potansiyel yönelimler, bulgularımızın kullanışlılığı ve uygulanabilirliği de irdelenmiştir.

Makale detayları

Analysis of the 30 October 2020 İzmir-Samos Tsunami Measurements with Compressive Sensing Method

Yazarlar:

Ali Rıza Alan | Cihan Bayındır

Yayıncı:

Fırat University

Ana Başlıklar:

Kıyı Bilimleri ve Mühendisliği

Dergi:

Fırat Üniversitesi Mühendislik Bilimleri Dergisi Vol.36 Issue 2, pp.837-845

Belge Tipi:

Makale

Yayın Tarihi:

9/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001317086

pISSN:

1308-9072

30 October 2020 İzmir-Samos (Aegean) tsunami

compressive sensing

time series analysis30 Ekim 2020 İzmir-Samos (Ege) tsunamisi

sıkıştırılabilir algılama

zaman serisi analizi

Sayı

Makale detayları

Analysis of the 30 October 2020 İzmir-Samos Tsunami Measurements with Compressive Sensing Method

Yazarlar: Ali Rıza Alan | Cihan Bayındır

Yayıncı: Fırat University

Ana Başlıklar: Kıyı Bilimleri ve Mühendisliği

Dergi: Fırat Üniversitesi Mühendislik Bilimleri Dergisi Vol.36 Issue 2, pp.837-845

Belge Tipi: Makale

Yayın Tarihi: 9/2024

Belge Dili: Türkçe

Document ID (Org No.): 2001317086

pISSN: 1308-9072

30 October 2020 İzmir-Samos (Aegean) tsunami

compressive sensing

time series analysis30 Ekim 2020 İzmir-Samos (Ege) tsunamisi

sıkıştırılabilir algılama

zaman serisi analizi

Sayı

Yazarlar:

Ali Rıza Alan | Cihan Bayındır

Yayıncı:

Fırat University

Ana Başlıklar:

Kıyı Bilimleri ve Mühendisliği

Dergi:

Fırat Üniversitesi Mühendislik Bilimleri Dergisi Vol.36 Issue 2, pp.837-845

Belge Tipi:

Makale

Yayın Tarihi:

9/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001317086

pISSN:

1308-9072