2021AIP conference proceedingsRequires access

Evaluation of existing earthquake prediction for lead time parameter using geomagnetic anomaly (case study: Sumatra region and its vicinity)

Jaya Murjaya, Indah Marsyam, Suaidi Ahadi, Muhamad Syirojudin, N. Efendy, Tri Istiana

Open publisher page 0 citations

Abstract

Currently, the earthquake is still unpredictable geomagnetic sensors since 2013. We observed the magnetic spectrum anomaly for Z/H components, using filter 0.01– 0.02 Hz, and azimuth±22.5° from the geomagnetic sensor. Based on the geomagnetic anomaly data along 2017-2018, we have declared 99 anomalies data as precursors and determined time, potential zone, and magnitude of an earthquake will occur around in Sumatra Region. The optimum predictable accuracy of earthquake prediction for lead time parameters about 4-45 days after anomaly is 64 %., especially for the short-term period. Many methods have been developed to predict earthquakes, but still cannot answer, when, where, and how big earthquake will occur. National for Meteorology, Climatology, and Geophysics Agency (BMKG) cooperated with Kyushu University and Chiba University to carry out earthquake precursor studies in the Sumatra region in the last 5 years ago using the geomagnetic data. We had installed 7

About this research paper

What this paper is about

Currently, the earthquake is still unpredictable geomagnetic sensors since 2013. We observed the magnetic spectrum anomaly for Z/H components, using filter 0.01– 0.02 Hz, and azimuth±22.5° from the geomagnetic sensor. Based on the geomagnetic anomaly data along 2017-2018, we have declared 99 anomalies data as precursors and determined time, potential zone, and magnitude of an earthquake will occur around in Sumatra Region. The optimum predictable accuracy of earthquake prediction for lead time parameters about 4-45 days after anomaly is 64 %., especially for the short-term period. Many methods have been developed to predict earthquakes, but still cannot answer, when, where, and how big earthquake will occur. National for Meteorology, Climatology, and Geophysics Agency (BMKG) cooperated with Kyushu University and Chiba University to carry out earthquake precursor studies in the Sumatra region in the last 5 years ago using the geomagnetic data. We had installed 7

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Currently, the earthquake is still unpredictable geomagnetic sensors since 2013. We observed the magnetic spectrum anomaly for Z/H components, using filter 0.01– 0.02 Hz, and azimuth±22.5° from the geomagnetic sensor. Based on the geomagnetic anomaly data along 2017-2018, we have declared 99 anomalies data as precursors and determined time, potential zone, and magnitude of an earthquake will occur around in Sumatra Region. The optimum predictable accuracy of earthquake prediction for lead time parameters about 4-45 days after anomaly is 64 %., especially for the short-term period. Many methods have been developed to predict earthquakes, but still cannot answer, when, where, and how big earthquake will occur. National for Meteorology, Climatology, and Geophysics Agency (BMKG) cooperated with Kyushu University and Chiba University to carry out earthquake precursor studies in the Sumatra region in the last 5 years ago using the geomagnetic data. We had installed 7

Key concepts: Earth's magnetic field, Anomaly (physics), Earthquake prediction, Geology, Seismology, Magnitude (astronomy), Geodesy, Magnetic anomaly

Related papers

Back to paper searchBrowse research topicsOriginal source
Evaluation of existing earthquake prediction for lead time parameter using geomagnetic anomaly (case study: Sumatra region and its vicinity) — Research Paper | ScholarLens