Foundations for an Operational Earthquake Prediction System

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Foundations for an Operational Earthquake Prediction System

Angelo De Santis - Nama Orang; Gianfranco Cianchini - Nama Orang; Loredana Perrone - Nama Orang; Maurizio Soldani - Nama Orang; Habib Rahimi - Nama Orang; Homayoon Alimoradi - Nama Orang;

Earthquake prediction is one of the most challenging enterprises of science. Any prediction system must be based on the search for a precursor appearing during the preparation phase of an earthquake in the ground, atmosphere, or ionosphere that can anticipate its occurrence. We present methods to detect potential pre-earthquake anomalies. In particular, we show the analysis of lithospheric, atmospheric, and ionospheric data and the detection of anomalies under specific criteria. When we apply these methods retrospectively, we find that their accuracy goes from 69% to 83%. The combination of two or more methods is expected to improve the accuracy.

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Perpustakaan BIG (Eksternal Harddisk) 550

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Judul Seri: Geosciences
No. Panggil: 550
Penerbit: Switzerland : MPDI., 2025
Deskripsi Fisik: 22 hlm PDF, 2.855 KB
Bahasa: Inggris
ISBN/ISSN: 2076-3263
Klasifikasi: 550
Tipe Isi: text
Tipe Media: -
Tipe Pembawa: online resource
Edisi: Vol.15, Issue 2, February 2025
Subjek: Prediction
Earthquake
precursors
LAIC
Info Detail Spesifik: Geosciences
Pernyataan Tanggungjawab: -

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Foundations for an Operational Earthquake Prediction System
Earthquake prediction is one of the most challenging enterprises of science. Any prediction system must be based on the search for a precursor appearing during the preparation phase of an earthquake in the ground, atmosphere, or ionosphere that can anticipate its occurrence. We present methods to detect potential pre-earthquake anomalies. In particular, we show the analysis of lithospheric, atmospheric, and ionospheric data and the detection of anomalies under specific criteria. When we apply these methods retrospectively, we find that their accuracy goes from 69% to 83%. The combination of two or more methods is expected to improve the accuracy.
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