Empirical Relations Converting Md and Mp Magnitudes Applied in Bulgarian Seismological Routine Practice to Moment Magnitude

Solakov, Dimcho; Simeonova, Stela; Raykova, Plamena; Aleksandrova, Irena

doi:10.7546/crabs.2018.08.09

Cited by 2 publications

(2 citation statements)

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“…The number of earthquakes is 1023 covering the period from 1981 to 2019 in the magnitude range Mw ≥ 3.2. The earthquakes in the Bulgarian catalog are presented in [67] by Mw magnitude scale, and we have directly included them in the compiled catalog for the Black Sea region. After the first half of the past century, significant progress has been made in increasing the number of seismic stations and earthquake detection capabilities in the Black Sea region, as seen in Figure 6a.…”

Section: Western Polygon (Wp)mentioning

confidence: 99%

Compilation of Regional Homogeneous Seismic Catalog for Identification of Tsunamigenic Zones in the Black Sea Region

et al. 2023

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Although tsunamis in the Black Sea are rare and less destructive, recently, their study has been the subject of interest due to the increasing concentration of population and infrastructure in low-lying coastal areas. This study aims to elucidate the spatial–temporal characteristics of earthquakes in the Black Sea region (27° E–42° E and 40° N–47° N) over a century to clarify the seismicity pattern further to be used for probabilistic seismic and tsunami hazard analysis. Significant volumes of seismic data from international and national databases were analyzed, and the results obtained from previous research were supplemented and expanded. Earthquakes over the period 1905–2022 from eight up-to-date seismic catalogs were used to compile a unified catalog after conversion to the moment magnitude scale Mw. The best-fit linear relationship between several magnitude scales and Mw was determined using the general orthogonal regression (GOR) and the least squares method (LSM). After the declustering procedure, the compiled catalog consists of 18,528 unique events. To assess the catalog data quality, the magnitude of completeness Mc was estimated for the entire catalog (1905–2022) and the so-called instrumental catalog (1977–2022). In addition, the spatial distribution of the completeness magnitude Mc and the recurrence b-plot slope in the Gutenberg–Richter distribution law were assessed using the goodness-of-fit and maximum likelihood methods from the instrumental catalog data. Finally, the most significant earthquakes within the Black Sea boundaries were estimated with their parameters and focal mechanisms. A possibility of the realization of strong quakes in the near future with tsunamigenic potential in the Black Sea region was concluded.

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Section: Western Polygon (Wp)mentioning

confidence: 99%

Compilation of Regional Homogeneous Seismic Catalog for Identification of Tsunamigenic Zones in the Black Sea Region

et al. 2023

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“…To insure homogeneity in energy domain and compatibility of seismological information magnitude estimates are converted in [8] to the most widely used (in recent years) scale-seismic moment magnitude M W [9]. The de-clustered and homogenized catalogue was also studied for the completeness (e.g.…”

Section: Seismologymentioning

confidence: 99%

Integration of Geological, Geophysical and Seismological Data for Seismic Hazard Assessment Using Spatial Matching Index

Trifonova¹,

Metodiev²,

Stavrev³

et al. 2019

JGIS

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Probabilistic seismic hazard assessment (PSHA) takes into account as much data as possible for defining the initial seismic source zone model. In response to this, an algorithm has been developed for integration of geological, geophysical and seismological data through a spatial index showing the presence or absence of a potential seismic source feature in the input data. The spatial matching index (SMI) is calculated to define the coincidence of independent data showing any indications for existence of a fault structure. It is applied for hazard assessment of Bulgaria through quantification of the seismic potential of 416 square blocks, 20 × 20 km in size covering the entire territory of Bulgaria and extended by 20 km outside of the country borders. All operations are carried out in GIS environment using its capabilities to work with different types of georeferenced spatial data. Results show that the highest seismic potential (largest SMI) is observed in 56 block elements (13% of the territory) clearly delineating cores of the source zones. Partial match is registered in 98 block elements when one of the features is missing. Not any evidence for earthquake occurrence is predicted by our calculation in 117 elements, comprising 28% of the examined area. The quantitative parameter for spatial data integration which is obtained in the present research may be used to analyze information regardless of its type and purpose.

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Empirical Relations Converting Md and Mp Magnitudes Applied in Bulgarian Seismological Routine Practice to Moment Magnitude

Cited by 2 publications

References 0 publications

Compilation of Regional Homogeneous Seismic Catalog for Identification of Tsunamigenic Zones in the Black Sea Region

Compilation of Regional Homogeneous Seismic Catalog for Identification of Tsunamigenic Zones in the Black Sea Region

Integration of Geological, Geophysical and Seismological Data for Seismic Hazard Assessment Using Spatial Matching Index

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