Automated Method for Merging Earthquake Catalogs with Duplicate Identification

Merging earthquake catalogs is a popular procedure in many studies based on seismicity analysis. This is necessary, in particular, to create a single catalogue for adjacent territories and to enhance the representativeness of catalogs based on data from various regional networks of seismic stations. When merging catalogs, the problem arises of identifying duplicating records related to the same seismic event. A recently developed algorithm for identifying duplicates using a modified nearest-neighbor method has proven its effectiveness in creating merged catalogs of the Russian Arctic. The application of this method involved several stages: preliminary identification of duplicates, determination of metric parameters, determination of the threshold value of the metric, and, ultimately, final identification of duplicates and merging of catalogs. Based on the accumulated experience, a fully automated method for merging earthquake catalogs with duplicate identification and the corresponding software product were developed, which we present in this paper. The input data are the original catalogs, and the user gets a merged catalog cleared of duplicates.

Authors

Institutions

Publication Details

Journal
Doklady Earth Sciences
Published
2025-09-21
DOI
https://doi.org/10.1134/s1028334x25608090
Primary Topic
Seismology and Earthquake Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Automated Method for Merging Earthquake Catalogs with Duplicate Identification

I. A. Vorobieva, П. Н. Шебалин, P. A. Malutin
Doklady Earth Sciences
Seismology and Earthquake Studies
article

Automated Method for Merging Earthquake Catalogs with Duplicate Identification

I. A. Vorobieva, П. Н. Шебалин, P. A. Malutin
article en

Abstract

Merging earthquake catalogs is a popular procedure in many studies based on seismicity analysis. This is necessary, in particular, to create a single catalogue for adjacent territories and to enhance the representativeness of catalogs based on data from various regional networks of seismic stations. When merging catalogs, the problem arises of identifying duplicating records related to the same seismic event. A recently developed algorithm for identifying duplicates using a modified nearest-neighbor method has proven its effectiveness in creating merged catalogs of the Russian Arctic. The application of this method involved several stages: preliminary identification of duplicates, determination of metric parameters, determination of the threshold value of the metric, and, ultimately, final identification of duplicates and merging of catalogs. Based on the accumulated experience, a fully automated method for merging earthquake catalogs with duplicate identification and the corresponding software product were developed, which we present in this paper. The input data are the original catalogs, and the user gets a merged catalog cleared of duplicates.

Doklady Earth SciencesVol. 524(2)
Institute of Earthquake Prediction Theory and Mathematical Geophysics (RU)
Openalex Percentile: Top 86%
Seismology and Earthquake Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.