A Unified Seismicity Catalog Development for Saudi Arabia: Multi-Network Fusion and Machine Learning-Based Anomaly Detection

A Unified Seismicity Catalog Development for Saudi Arabia: Multi-Network Fusion and Machine Learning-Based Anomaly Detection

This investigation concentrates on refining the accuracy of earthquake parameters as reported by various Saudi seismic networks, addressing the significant challenges arising from data discrepancies in earthquake location, depth, and magnitude estimations. The application of sophisticated machine le...

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Bibliographic Details
Main Authors: Sayed S. R. Moustafa, Mohamed H. Yassien, Mohamed Metwaly, Ahmad M. Faried, Basem Elsaka
Format: Article
Language:English
Published: MDPI AG 2024-08-01
Series:Applied Sciences
Subjects:
seismic hazard
Red Sea
seismicity discrepancies
Saudi seismic networks
Online Access:https://www.mdpi.com/2076-3417/14/16/7070

Internet

https://www.mdpi.com/2076-3417/14/16/7070

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