Temporal Delineation and Quantification of Short Term Clustered Mining Seismicity

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3 Citations (Scopus)

Abstract

The assessment of the temporal characteristics of seismicity is fundamental to understanding and quantifying the seismic hazard associated with mining, the effectiveness of strategies and tactics used to manage seismic hazard, and the relationship between seismicity and changes to the mining environment. This article aims to improve the accuracy and precision in which the temporal dimension of seismic responses can be quantified and delineated. We present a review and discussion on the occurrence of time-dependent mining seismicity with a specific focus on temporal modelling and the modified Omori law (MOL). This forms the basis for the development of a simple weighted metric that allows for the consistent temporal delineation and quantification of a seismic response. The optimisation of this metric allows for the selection of the most appropriate modelling interval given the temporal attributes of time-dependent mining seismicity. We evaluate the performance weighted metric for the modelling of a synthetic seismic dataset. This assessment shows that seismic responses can be quantified and delineated by the MOL, with reasonable accuracy and precision, when the modelling is optimised by evaluating the weighted MLE metric. Furthermore, this assessment highlights that decreased weighted MLE metric performance can be expected if there is a lack of contrast between the temporal characteristics of events associated with different processes.

Original languageEnglish
Pages (from-to)2581-2599
Number of pages19
JournalPure and Applied Geophysics
Volume174
Issue number7
DOIs
Publication statusPublished - Jul 2017

Cite this

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title = "Temporal Delineation and Quantification of Short Term Clustered Mining Seismicity",
abstract = "The assessment of the temporal characteristics of seismicity is fundamental to understanding and quantifying the seismic hazard associated with mining, the effectiveness of strategies and tactics used to manage seismic hazard, and the relationship between seismicity and changes to the mining environment. This article aims to improve the accuracy and precision in which the temporal dimension of seismic responses can be quantified and delineated. We present a review and discussion on the occurrence of time-dependent mining seismicity with a specific focus on temporal modelling and the modified Omori law (MOL). This forms the basis for the development of a simple weighted metric that allows for the consistent temporal delineation and quantification of a seismic response. The optimisation of this metric allows for the selection of the most appropriate modelling interval given the temporal attributes of time-dependent mining seismicity. We evaluate the performance weighted metric for the modelling of a synthetic seismic dataset. This assessment shows that seismic responses can be quantified and delineated by the MOL, with reasonable accuracy and precision, when the modelling is optimised by evaluating the weighted MLE metric. Furthermore, this assessment highlights that decreased weighted MLE metric performance can be expected if there is a lack of contrast between the temporal characteristics of events associated with different processes.",
keywords = "Temporal, delineation, quantification, mining, seismicity, response, REENTRY PROTOCOL DEVELOPMENT, AFTERSHOCK SEQUENCES, EARTHQUAKE CATALOGS, OMORI FORMULA, RATE DECAY, LAW, CALIFORNIA, MODELS, IDENTIFICATION, FREQUENCIES",
author = "Kyle Woodward and Johan Wesseloo and Yves Potvin",
year = "2017",
month = "7",
doi = "10.1007/s00024-017-1570-6",
language = "English",
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issn = "0033-4553",
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TY - JOUR

T1 - Temporal Delineation and Quantification of Short Term Clustered Mining Seismicity

AU - Woodward, Kyle

AU - Wesseloo, Johan

AU - Potvin, Yves

PY - 2017/7

Y1 - 2017/7

N2 - The assessment of the temporal characteristics of seismicity is fundamental to understanding and quantifying the seismic hazard associated with mining, the effectiveness of strategies and tactics used to manage seismic hazard, and the relationship between seismicity and changes to the mining environment. This article aims to improve the accuracy and precision in which the temporal dimension of seismic responses can be quantified and delineated. We present a review and discussion on the occurrence of time-dependent mining seismicity with a specific focus on temporal modelling and the modified Omori law (MOL). This forms the basis for the development of a simple weighted metric that allows for the consistent temporal delineation and quantification of a seismic response. The optimisation of this metric allows for the selection of the most appropriate modelling interval given the temporal attributes of time-dependent mining seismicity. We evaluate the performance weighted metric for the modelling of a synthetic seismic dataset. This assessment shows that seismic responses can be quantified and delineated by the MOL, with reasonable accuracy and precision, when the modelling is optimised by evaluating the weighted MLE metric. Furthermore, this assessment highlights that decreased weighted MLE metric performance can be expected if there is a lack of contrast between the temporal characteristics of events associated with different processes.

AB - The assessment of the temporal characteristics of seismicity is fundamental to understanding and quantifying the seismic hazard associated with mining, the effectiveness of strategies and tactics used to manage seismic hazard, and the relationship between seismicity and changes to the mining environment. This article aims to improve the accuracy and precision in which the temporal dimension of seismic responses can be quantified and delineated. We present a review and discussion on the occurrence of time-dependent mining seismicity with a specific focus on temporal modelling and the modified Omori law (MOL). This forms the basis for the development of a simple weighted metric that allows for the consistent temporal delineation and quantification of a seismic response. The optimisation of this metric allows for the selection of the most appropriate modelling interval given the temporal attributes of time-dependent mining seismicity. We evaluate the performance weighted metric for the modelling of a synthetic seismic dataset. This assessment shows that seismic responses can be quantified and delineated by the MOL, with reasonable accuracy and precision, when the modelling is optimised by evaluating the weighted MLE metric. Furthermore, this assessment highlights that decreased weighted MLE metric performance can be expected if there is a lack of contrast between the temporal characteristics of events associated with different processes.

KW - Temporal

KW - delineation

KW - quantification

KW - mining

KW - seismicity

KW - response

KW - REENTRY PROTOCOL DEVELOPMENT

KW - AFTERSHOCK SEQUENCES

KW - EARTHQUAKE CATALOGS

KW - OMORI FORMULA

KW - RATE DECAY

KW - LAW

KW - CALIFORNIA

KW - MODELS

KW - IDENTIFICATION

KW - FREQUENCIES

U2 - 10.1007/s00024-017-1570-6

DO - 10.1007/s00024-017-1570-6

M3 - Article

VL - 174

SP - 2581

EP - 2599

JO - Pure and Applied Geophysics

JF - Pure and Applied Geophysics

SN - 0033-4553

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ER -