Towards a homogeneous moment magnitude determination for earthquakes in South Africa: Reduction of associated uncertainties

Manzunzu, B.; Brandt, M.B.C.; Midzi, V.; Durrheim, Raymond; Saunders, Ian; Mulabisana, T.

doi:10.1016/j.jafrearsci.2020.104051

Cited by 2 publications

(1 citation statement)

References 46 publications

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“…However, the database of seismic events for the investigated area is highly incomplete and uncertain, particularly regarding the size and location of the strongest historical events. All seismic event magnitudes were homogenised and expressed in terms of local magnitude M L , which is quite close to moment magnitude M W (Heaton et al 1986;Deichmann 2006;Manzunzu et al 2021).…”

Section: Seismic Hazard Recurrence Parameters For Cape Town South Africamentioning

confidence: 99%

Estimation Techniques for Seismic Recurrence Parameters for Incomplete Catalogues

Kijko

Vermeulen²,

Smit

2021

Surv Geophys

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In probabilistic seismic hazard analysis, assessment of the three recurrence parameters, namely the mean activity rate , Gutenberg-Richter b-value, and maximum possible seismic event magnitude m max , is paramount. Over the years, several assessment procedures have been developed, each with its advantages and disadvantages. Typically, estimation techniques for the mean activity rate and the Gutenberg-Richter b-value are discussed and evaluated separately from those designed for the maximum possible event magnitude m max . Yet, the three parameters are typically defined in terms of joint distributions for , b , and m max . In this study, we focused on systematically constructing joint distributions for the three recurrence parameters for considering complete and incomplete seismic event catalogues. The Bayesian formalism is introduced to constrain the parameter estimates with independent a priori information. Further, we discuss an iterative technique to solve the systems of equations sequentially. The procedures are compared and illustrated using Monte Carlo simulation and a seismic event catalogue for Cape Town, South Africa. Article Highlights• Probabilistic seismic hazard analysis in case of incomplete catalogues • Assessment of the hazard recurrence parameters, activity rate , frequency-magnitude Gutenberg-Richter b-value and area characteristic, maximum possible seismic event magnitude m max • Application of Bayesian formalism to constrain hazard parameters estimation

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Section: Seismic Hazard Recurrence Parameters For Cape Town South Africamentioning

confidence: 99%

Estimation Techniques for Seismic Recurrence Parameters for Incomplete Catalogues

Kijko

Vermeulen²,

Smit

2021

Surv Geophys

View full text Add to dashboard Cite

show abstract

Performance enhancement of deep neural network using fusional data assimilation and divide-and-conquer approach; case study: earthquake magnitude calculation

Esmaeili,

Kimiaefar,

Hajian

et al. 2024

Neural Comput & Applic

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Towards a homogeneous moment magnitude determination for earthquakes in South Africa: Reduction of associated uncertainties

Cited by 2 publications

References 46 publications

Estimation Techniques for Seismic Recurrence Parameters for Incomplete Catalogues

Estimation Techniques for Seismic Recurrence Parameters for Incomplete Catalogues

Performance enhancement of deep neural network using fusional data assimilation and divide-and-conquer approach; case study: earthquake magnitude calculation

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