Multiple Linear Regression on Ultra-Low Frequency (ULF) and Solar Wind for Earthquake Precursor Purposes

• Published in: JURNAL FIZIK MALAYSIA
• Main Authors: Umar, R.; Zafar, S. N. A. Syed; Sabri, N. H.; Jusoh, M. H.; Dagang, A. N.; Yoshikawa, A.; Abe, S.; Uozumi, T.
• Format: Article
• Language: English
• Published: INST FIZIK MALAYSIA 2023
• Subjects: Physics
• Online Access: https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001124566400004

The great devastation caused by earthquake events motivates researchers to investigate earthquake precursors. According to previous research, precursory signals are predominantly in the ULF frequency range (0.01 to 10 Hz). Recent research indicates that the abnormality of ULF activity is caused by a near-Earth disturbance. To investigate the relationship of ULF Pc4 -Pc5 with solar wind parameters and near-Earth geomagnetic storms preceding earthquake events in the low-latitude region, correlation and multiple linear regression (MLR) analysis were used. The ground ULF magnetometer station in Cebu, Philippines (CEB) is chosen along with nearby earthquakes of magnitude (M< 6.0), depth (d <100km), and epicenter distance from magnetometer station (r <100). Prior to earthquakes, the ULF Pc4 -Pc5 is found to be significantly correlated with solar wind parameters (Bz, Vsw, Psw, IEsw) and geomagnetic storm (SYM/H) at R-2 = 20.10% for ULF Pc4 and R-2 = 27.11% for ULF Pc5. This research allows non-seismologists to assist seismologists in detecting earthquakes before they occur by monitoring ULF emission. As a result, the destructive effect of earthquakes can be lessened.