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 de...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-02-01
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| Series: | Geosciences |
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| Online Access: | https://www.mdpi.com/2076-3263/15/2/69 |
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| author | Angelo De Santis Gianfranco Cianchini Loredana Perrone Maurizio Soldani Habib Rahimi Homayoon Alimoradi |
| author_facet | Angelo De Santis Gianfranco Cianchini Loredana Perrone Maurizio Soldani Habib Rahimi Homayoon Alimoradi |
| author_sort | Angelo De Santis |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-191dba5de8bc4886b4037bd5ca250460 |
| institution | DOAJ |
| issn | 2076-3263 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Geosciences |
| spelling | doaj-art-191dba5de8bc4886b4037bd5ca2504602025-08-20T02:44:32ZengMDPI AGGeosciences2076-32632025-02-011526910.3390/geosciences15020069Foundations for an Operational Earthquake Prediction SystemAngelo De Santis0Gianfranco Cianchini1Loredana Perrone2Maurizio Soldani3Habib Rahimi4Homayoon Alimoradi5Istituto Nazionale di Geofisica e Vulcanologia, 00143 Rome, ItalyIstituto Nazionale di Geofisica e Vulcanologia, 00143 Rome, ItalyIstituto Nazionale di Geofisica e Vulcanologia, 00143 Rome, ItalyIstituto Nazionale di Geofisica e Vulcanologia, 00143 Rome, ItalyInstitute of Geophysics, University of Tehran, Tehran 14155-6619, IranInstitute of Geophysics, University of Tehran, Tehran 14155-6619, IranEarthquake 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.https://www.mdpi.com/2076-3263/15/2/69earthquakepredictionprecursorsLAIC |
| spellingShingle | Angelo De Santis Gianfranco Cianchini Loredana Perrone Maurizio Soldani Habib Rahimi Homayoon Alimoradi Foundations for an Operational Earthquake Prediction System Geosciences earthquake prediction precursors LAIC |
| title | Foundations for an Operational Earthquake Prediction System |
| title_full | Foundations for an Operational Earthquake Prediction System |
| title_fullStr | Foundations for an Operational Earthquake Prediction System |
| title_full_unstemmed | Foundations for an Operational Earthquake Prediction System |
| title_short | Foundations for an Operational Earthquake Prediction System |
| title_sort | foundations for an operational earthquake prediction system |
| topic | earthquake prediction precursors LAIC |
| url | https://www.mdpi.com/2076-3263/15/2/69 |
| work_keys_str_mv | AT angelodesantis foundationsforanoperationalearthquakepredictionsystem AT gianfrancocianchini foundationsforanoperationalearthquakepredictionsystem AT loredanaperrone foundationsforanoperationalearthquakepredictionsystem AT mauriziosoldani foundationsforanoperationalearthquakepredictionsystem AT habibrahimi foundationsforanoperationalearthquakepredictionsystem AT homayoonalimoradi foundationsforanoperationalearthquakepredictionsystem |