Uncovering the complexity of source mechanism in an anisotropic coal mine using sequential inversion.

Chun-Hui Song, Cai-Ping Lu, Xiu-Feng Zhang, Chao Wang, Jie-Fang Song, Yang Liu, Shi-Dong Li, Dapeng Zhao

Abstract read

In one paragraph

Article in Scientific reports, 2024. 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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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Chun-Hui SongKey Laboratory of Deep Coal Resource Mining (Ministry of Education), School of Mines, China University of Mining and Technology, Xuzhou, 221116, Jiangsu, PR China.

Cai-Ping LuKey Laboratory of Deep Coal Resource Mining (Ministry of Education), School of Mines, China University of Mining and Technology, Xuzhou, 221116, Jiangsu, PR China. cplucumt@126.com.

Xiu-Feng ZhangResearch Center for Rock Burst Control, Shandong Energy Group Co., LTD, Jinan, 250014, Shandong, PR China.

Chao WangYankuang Energy Group Co., LTD, Zoucheng, 273513, Shandong, PR China.

Jie-Fang SongKey Laboratory of Deep Coal Resource Mining (Ministry of Education), School of Mines, China University of Mining and Technology, Xuzhou, 221116, Jiangsu, PR China.

Yang LiuKey Laboratory of Deep Coal Resource Mining (Ministry of Education), School of Mines, China University of Mining and Technology, Xuzhou, 221116, Jiangsu, PR China.

Shi-Dong LiZhaolou Coal Mine, Yankuang Energy Group Co., LTD, Juye, 252123, Shandong, PR China.

Dapeng ZhaoDepartment of Geophysics, Graduate School of Science, Tohoku University, Sendai, 980-8578, Japan.

Funding

China University of Mining and Technology 2023WLKXJ024Japan Society for the Promotion of Science 19H01996National Natural Science Foundation of China 51574225

6 · The paper itself

Abstract

Accurate characterisation of seismic source mechanisms in mining environments is crucial for effective hazard mitigation, but it is complicated by the presence of anisotropic geological conditions. Neglecting anisotropic effects during moment tensor (MT) inversion introduces significant distortions in the retrieved source characteristics. In this study, we investigated the impact of ignoring anisotropy during MT inversion on the reliability of hazard assessment. We investigated a high-energy (2.18×10

Indexed as

AnisotropyHazard assessmentMining-induced seismicityMoment tensor inversionSequential inversion

Identifiers

PMID39733178

DOI10.1038/s41598-024-83226-5

PMCPMC11682407

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LicenceCC BY-NC-ND

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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.