Self-similarity of active fault systems and distribution of earthquake epicenters ...
<!--!introduction!--> We analyse the fractal dimension of active fault systems versus the fractal dimension of earthquake epicentres in the Greater Caucasus, Altai-Sayan, Baikal, and Kamchatka Regions. In particular, for each of the four regional systems of active faults the box counting and c...
| Main Authors: | , , |
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| Format: | Article in Journal/Newspaper |
| Language: | unknown |
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GFZ German Research Centre for Geosciences
2023
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| Subjects: | |
| Online Access: | https://dx.doi.org/10.57757/iugg23-0383 https://gfzpublic.gfz-potsdam.de/pubman/item/item_5016092 |
| Summary: | <!--!introduction!--> We analyse the fractal dimension of active fault systems versus the fractal dimension of earthquake epicentres in the Greater Caucasus, Altai-Sayan, Baikal, and Kamchatka Regions. In particular, for each of the four regional systems of active faults the box counting and correlation dimensions, D 0 and D 2 , were computed based on the Active Faults of Eurasia Database (Bachmanov et al., 2017). The data permit distinguishing fractal dimensionality of the vertical, lateral and extensional displacement faults. The obtained regional values of D 0 and D 2 are compared to the regional distributions of the C-coefficient of the Unified Scaling Law for Earthquakes (USLE) that compliments to the a- and b-values of the classical Gutenberg-Richter relationship with C, an estimate of fractal dimension of earthquake epicentres at a given site. We used maps of the USLE coefficients in the selected four regions from (Kossobokov&Nekrasova 2018a, 2018b; Nekrasova&Kossobokov 2020, 2022). The ... : The 28th IUGG General Assembly (IUGG2023) (Berlin 2023) ... |
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