Evolution Characteristics of Seismic Detection Probability in Underground Mines and Its Application for Assessing Seismic Risks—A Case Study

Seismic hazards are typical mining hazards causing dynamic failure of coal and rock mass, which greatly threatens the safety of personnel and equipment. At present, various seismic analysis methods are used to assess seismic risks but their accuracy is significantly limited by the incompleteness of...
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Autor*in:	Hui Li [verfasserIn] Anye Cao [verfasserIn] Siyuan Gong [verfasserIn] Changbin Wang [verfasserIn] Rupei Zhang [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	coal burst rockbursts detection probability seismic monitoring magnitude of completeness seismic data integrity

Übergeordnetes Werk:	In: Sensors - MDPI AG, 2003, 22(2022), 10, p 3682
Übergeordnetes Werk:	volume:22 ; year:2022 ; number:10, p 3682

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/s22103682

Katalog-ID:	DOAJ025546279

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520			\|a Seismic hazards are typical mining hazards causing dynamic failure of coal and rock mass, which greatly threatens the safety of personnel and equipment. At present, various seismic analysis methods are used to assess seismic risks but their accuracy is significantly limited by the incompleteness of seismic data. The probability of detecting earthquakes (<i<PDE</i<) method has been proven as a powerful means for retrieving missed seismic events and enhancing the seismic data integrity in mines. However, to date, the reliability of the results of the <i<PDE</i< method has not been assessed and the highly integrated seismic data have not been linked with the actual hazard potential. To fill these gaps, this paper investigated the impacts of the seismic data volume used for calculation and the modification of the layout of sensors on the reliability and robustness of the <i<PDE</i< method. The event counts and seismic energy were compensated using the <i<PDE</i< method, correlated with strong seismic events. The results indicated that the compensated seismic data presented higher accuracy in locating future hazardous events than before. This research provides references on enhancing the performance of seismic analysing methods for seismic risk assessments.
650		4	\|a coal burst
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language	English
source	In Sensors 22(2022), 10, p 3682 volume:22 year:2022 number:10, p 3682
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authorswithroles_txt_mv	Hui Li @@aut@@ Anye Cao @@aut@@ Siyuan Gong @@aut@@ Changbin Wang @@aut@@ Rupei Zhang @@aut@@
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callnumber-first	T - Technology
author	Hui Li
spellingShingle	Hui Li misc TP1-1185 misc coal burst misc rockbursts misc detection probability misc seismic monitoring misc magnitude of completeness misc seismic data integrity misc Chemical technology Evolution Characteristics of Seismic Detection Probability in Underground Mines and Its Application for Assessing Seismic Risks—A Case Study
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topic_title	TP1-1185 Evolution Characteristics of Seismic Detection Probability in Underground Mines and Its Application for Assessing Seismic Risks—A Case Study coal burst rockbursts detection probability seismic monitoring magnitude of completeness seismic data integrity
topic	misc TP1-1185 misc coal burst misc rockbursts misc detection probability misc seismic monitoring misc magnitude of completeness misc seismic data integrity misc Chemical technology
topic_unstemmed	misc TP1-1185 misc coal burst misc rockbursts misc detection probability misc seismic monitoring misc magnitude of completeness misc seismic data integrity misc Chemical technology
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title	Evolution Characteristics of Seismic Detection Probability in Underground Mines and Its Application for Assessing Seismic Risks—A Case Study
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title_full	Evolution Characteristics of Seismic Detection Probability in Underground Mines and Its Application for Assessing Seismic Risks—A Case Study
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title_sort	evolution characteristics of seismic detection probability in underground mines and its application for assessing seismic risks—a case study
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title_auth	Evolution Characteristics of Seismic Detection Probability in Underground Mines and Its Application for Assessing Seismic Risks—A Case Study
abstract	Seismic hazards are typical mining hazards causing dynamic failure of coal and rock mass, which greatly threatens the safety of personnel and equipment. At present, various seismic analysis methods are used to assess seismic risks but their accuracy is significantly limited by the incompleteness of seismic data. The probability of detecting earthquakes (<i<PDE</i<) method has been proven as a powerful means for retrieving missed seismic events and enhancing the seismic data integrity in mines. However, to date, the reliability of the results of the <i<PDE</i< method has not been assessed and the highly integrated seismic data have not been linked with the actual hazard potential. To fill these gaps, this paper investigated the impacts of the seismic data volume used for calculation and the modification of the layout of sensors on the reliability and robustness of the <i<PDE</i< method. The event counts and seismic energy were compensated using the <i<PDE</i< method, correlated with strong seismic events. The results indicated that the compensated seismic data presented higher accuracy in locating future hazardous events than before. This research provides references on enhancing the performance of seismic analysing methods for seismic risk assessments.
abstractGer	Seismic hazards are typical mining hazards causing dynamic failure of coal and rock mass, which greatly threatens the safety of personnel and equipment. At present, various seismic analysis methods are used to assess seismic risks but their accuracy is significantly limited by the incompleteness of seismic data. The probability of detecting earthquakes (<i<PDE</i<) method has been proven as a powerful means for retrieving missed seismic events and enhancing the seismic data integrity in mines. However, to date, the reliability of the results of the <i<PDE</i< method has not been assessed and the highly integrated seismic data have not been linked with the actual hazard potential. To fill these gaps, this paper investigated the impacts of the seismic data volume used for calculation and the modification of the layout of sensors on the reliability and robustness of the <i<PDE</i< method. The event counts and seismic energy were compensated using the <i<PDE</i< method, correlated with strong seismic events. The results indicated that the compensated seismic data presented higher accuracy in locating future hazardous events than before. This research provides references on enhancing the performance of seismic analysing methods for seismic risk assessments.
abstract_unstemmed	Seismic hazards are typical mining hazards causing dynamic failure of coal and rock mass, which greatly threatens the safety of personnel and equipment. At present, various seismic analysis methods are used to assess seismic risks but their accuracy is significantly limited by the incompleteness of seismic data. The probability of detecting earthquakes (<i<PDE</i<) method has been proven as a powerful means for retrieving missed seismic events and enhancing the seismic data integrity in mines. However, to date, the reliability of the results of the <i<PDE</i< method has not been assessed and the highly integrated seismic data have not been linked with the actual hazard potential. To fill these gaps, this paper investigated the impacts of the seismic data volume used for calculation and the modification of the layout of sensors on the reliability and robustness of the <i<PDE</i< method. The event counts and seismic energy were compensated using the <i<PDE</i< method, correlated with strong seismic events. The results indicated that the compensated seismic data presented higher accuracy in locating future hazardous events than before. This research provides references on enhancing the performance of seismic analysing methods for seismic risk assessments.
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title_short	Evolution Characteristics of Seismic Detection Probability in Underground Mines and Its Application for Assessing Seismic Risks—A Case Study
url	https://doi.org/10.3390/s22103682 https://doaj.org/article/667cd8d4b3224c90ae992363d9c0d709 https://www.mdpi.com/1424-8220/22/10/3682 https://doaj.org/toc/1424-8220
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Evolution Characteristics of Seismic Detection Probability in Underground Mines and Its Application for Assessing Seismic Risks—A Case Study

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