Earthquake migration characteristics and triggering mechanisms in the Baihetan Reservoir Area based on machine-learning microseismic detection Article Swipe
Mengqiao Duan
,
Lianqing Zhou
,
Longfei Duan
,
Ziyi Li
,
Cuiping Zhao
,
Xiaodong Zhang
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1093/gji/ggae304
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1093/gji/ggae304
SUMMARY The Baihetan Reservoir, the second largest in the world, is located at the intersection of multiple large active fault zones on the eastern boundary of the Sichuan-Yunnan rhombic block. After impoundment on 6 April 2021, many earthquakes occurred around the reservoir area submerged by water. The largest ML 4.7 earthquake in the reservoir area occurred after the water level reached its highest point. But the seismogenic structures and mechanisms of earthquakes in the reservoir area are still unclear. Based on dense array data from the reservoir area, this paper uses the experimental site submodel of USTC-Pickers, transfer learned with ‘DiTing’ data set of China to obtain a high-precision earthquake catalogue that is twice as large as that the manual catalogue. This study show that earthquakes in the reservoir region primarily occur on secondary faults of pre-existing ones, characterized by a prominent feature of high dip angles trending northwest to southeast. Combined with the spatiotemperal migration characteristics of earthquakes and the relationship between earthquakes and water levels, we infer that most earthquakes are rapid response type and may be induced by rapid increase in elastic stress. Only the spatiotemporal distribution image of the ML 3.2 earthquakes sequence in the dam site-Toudaogou section conforms to the law of pore pressure diffusion, and belongs to the fast response type, which may be induced by the poroelasiticity coupling mechanism. The ML 3.0 earthquake swarm with deep depths in the Heishui River section belongs to the delayed response type and may be induced by the poroelasiticity coupling mechanism.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1093/gji/ggae304
- https://academic.oup.com/gji/advance-article-pdf/doi/10.1093/gji/ggae304/58955034/ggae304.pdf
- OA Status
- gold
- Cited By
- 1
- References
- 40
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4402026029
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Raw OpenAlex JSON
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https://openalex.org/W4402026029Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1093/gji/ggae304Digital Object Identifier
- Title
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Earthquake migration characteristics and triggering mechanisms in the Baihetan Reservoir Area based on machine-learning microseismic detectionWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-08-28Full publication date if available
- Authors
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Mengqiao Duan, Lianqing Zhou, Longfei Duan, Ziyi Li, Cuiping Zhao, Xiaodong ZhangList of authors in order
- Landing page
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https://doi.org/10.1093/gji/ggae304Publisher landing page
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https://academic.oup.com/gji/advance-article-pdf/doi/10.1093/gji/ggae304/58955034/ggae304.pdfDirect link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
- OA URL
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https://academic.oup.com/gji/advance-article-pdf/doi/10.1093/gji/ggae304/58955034/ggae304.pdfDirect OA link when available
- Concepts
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Geology, Seismology, Microseism, Fault (geology), Block (permutation group theory), Earthquake swarm, Intersection (aeronautics), Sequence (biology), Induced seismicity, Cartography, Geometry, Genetics, Geography, Biology, MathematicsTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| primary_location.source.issn | 0956-540X, 1365-246X |
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| primary_location.source.host_organization_name | Oxford University Press |
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| primary_location.source.host_organization_lineage_names | Oxford University Press, University of Oxford |
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| primary_location.pdf_url | https://academic.oup.com/gji/advance-article-pdf/doi/10.1093/gji/ggae304/58955034/ggae304.pdf |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
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| primary_location.raw_source_name | Geophysical Journal International |
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| publication_date | 2024-08-28 |
| publication_year | 2024 |
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