Classification of the Ionospheric Disturbances Caused by Geomagnetic and Seismic Activity with K-Nearest Neighbors Algorithm
Yazarlar (4)
Doç. Dr. Cafer Budak Dicle Üniversitesi, Türkiye
Doç. Dr. Seçil KARATAY Kastamonu Üniversitesi, Türkiye
Dr. Öğr. Üyesi Faruk ERKEN Kastamonu Üniversitesi, Türkiye
Arş. Gör. Ali ÇINAR Kastamonu Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Wireless Personal Communications (Q3) | ||
| Dergi ISSN | 0929-6212 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 04-2024 |
| Cilt / Sayı / Sayfa | 134 / 3 / 1551–1569 | DOI | 10.1007/s11277-024-10965-z |
| Makale Linki | http://dx.doi.org/10.1007/s11277-024-10965-z | ||
| Özet |
| Detection of earthquake-precursor signals a few days before the earthquake day has become an area of increasing interest. In recent years, it has been observed that the major earthquakes and geomagnetic activity can cause significant disturbances and anomalies in the ionospheric parameters such as Total Electron Content (TEC). TEC provides important information about the detection of anomalies and disturbances related to seismic and geomagnetic activity in the ionosphere. The main goal of this study is to classify the disturbances due to the seismic and geomagnetic activity in the ionosphere using TEC data. For this purpose, the K-Nearest Neighbors (K-NN) algorithm is applied to TEC estimated from Global Positioning System stations during five earthquakes with magnitudes Mw greater than 5.6 between 1999 and 2016 and for the geomagnetically quiet and disturbed conditions of the ionosphere. The … |
| Anahtar Kelimeler |
| Classification | Disturbance | Earthquake | Ionosphere | K-nearest neighbors |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 4 |
| Scopus | 7 |
| Google Scholar | 10 |