Integrated Earthquake Catalog of the Eastern Sector of the Russian Arctic

• Published in: Applied Sciences
• Main Authors: Alexei D. Gvishiani, Inessa A. Vorobieva, Peter N. Shebalin, Boris A. Dzeboev, Boris V. Dzeranov, Anna A. Skorkina
• Format: Article in Journal/Newspaper
• Language: English
• Published: MDPI AG 2022
• Subjects: merging catalogs; earthquake; clustering algorithm; Arctic region; magnitude unification; duplicate events; Technology; T; Engineering (General). Civil engineering (General); TA1-2040; Biology (General); QH301-705.5; Physics; QC1-999; Chemistry; QD1-999; Arctic
• Online Access: https://doi.org/10.3390/app12105010; https://doaj.org/article/41c83105be8746cc9439552d21770bdf

The objective of this study was to create a representative earthquake catalog for the Eastern Sector of the Arctic zone of the Russian Federation that combines all available data from Russian and international seismological agencies, with magnitude reduction to a uniform scale. The article describes the catalog compilation algorithm, as well as formalized procedures for removing duplicates and choosing the optimal magnitude scale. Due to different network configurations and record processing methods, different agencies may register/miss different events. This results in the absence of some events in different earthquake catalogs. Therefore, merging the data of various seismological agencies will provide the most complete catalog for the studied region. When merging catalogs, the problem of identifying duplicates (records related to the same seismic event) necessarily arises. An additional difficulty arises when distinguishing between aftershocks and duplicates since both are events that are close in space and time. To solve this problem, we used a modified nearest neighbor method developed earlier by the authors. The modified version, which is focused on identifying duplicates and distinguishing between duplicates and aftershocks, uses a probabilistic metric in the network error space to determine the epicenters and times of seismic events. In the present paper, a comparison and regression analysis of the different magnitude types of the integrated catalog is carried out, and based on the obtained ratios, the magnitude estimates are unified.