Evidence map›Paper›PMID 41294980›Full record

ArticleEntropy (Basel, Switzerland)2025

Spatiotemporal Distribution of the Magnitude of Completeness and b-Values in Mainland China Based on a Fused Multi-Source Earthquake Catalog.

Chen Li, Ziyi Li, Mengqiao Duan, Lianqing Zhou

Abstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Chen LiInstitute of Earthquake Forecasting, China Earthquake Administration, Beijing 100036, China.
Ziyi LiInstitute of Geophysics, China Earthquake Administration, Beijing 100081, China.
Mengqiao DuanInstitute of Earthquake Forecasting, China Earthquake Administration, Beijing 100036, China.
Lianqing ZhouInstitute of Earthquake Forecasting, China Earthquake Administration, Beijing 100036, China.ORCID 0000-0002-5486-0159

Funding

Fundamental Research Funds of the Institute of Earthquake Forecasting, China Earthquake Administration CEAIEF20240405National Natural Science Foundation of China 42174072the Fundamental Research Funds of the Institute of Earthquake Forecasting, China Earthquake Administration CEAIEF2025080103the Special Project for Operational Work of the China Earthquake Administration IEF-ESI-202502
6 · The paper itself

Abstract

The b-value is a critical parameter for gauging seismic activity and is essential for seismic hazard assessment, monitoring stress evolution in focal zones, and forecasting major earthquakes. The minimum magnitude of completeness (Mc), a key indicator of the completeness of an earthquake catalog, reflects the monitoring capability of a seismic network and serves as a crucial foundation for the accurate calculation of the b-value. We began by integrating multi-source earthquake catalogs for mainland China using the nearest-neighbor method. Building on this, we employed a combination of partitioned time-series analysis and a grid-based spatial scanning technique to systematically investigate the spatiotemporal evolution of the Mc and the b-value across mainland China and its adjacent regions. Our findings indicate the following: (1) Since the 1980s, the overall trend of Mc has shifted from high and unstable values to low and stable ones. However, significant earthquake events can cause a notable short-term increase in the Mc. (2) The b-value exhibits strong fluctuations, primarily influenced by the dual effects of the tectonic stress field and catalog completeness. These fluctuations are particularly pronounced in highly active seismic regions such as the Sichuan-Yunnan area and Taiwan, whereas the western Tibetan Plateau has consistently maintained a low b-value. (3) The spatial distributions of both the Mc and the b-value are markedly heterogeneous. By developing a unified and complete earthquake catalog for mainland China, our research highlights the qualitative leap in monitoring capabilities brought about by the continuous densification and technological upgrading of seismic networks. This dataset provides a solid foundation for future seismological research, disaster prevention practices, and especially for the development of AI-based earthquake prediction models.

Indexed as

b-valueearthquake catalogearthquake predictionmagnitude of completenessmainland Chinaseismic monitoringstatistical seismology

Identifiers

PMID41294980
PMCPMC12651767

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.