Attenuation, source parameters and site effects in the Irpinia–Basilicata region (southern Apennines, Italy)

Cantore, Luciana; Oth, Adrien; Parolai, Stefano; Bindi, Dino

doi:10.1007/s10950-011-9230-2

Cited by 14 publications

(8 citation statements)

References 33 publications

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“…de Lorenzo et al [, Figure 16b] and Malagnini et al [, Figure ]) for which the correct estimation of corner frequency from near‐source, broadband, and short‐period velocity records may be critical. Using a subset of the data analyzed in this study and a nonparametric method, Cantore et al [] found a self‐similar scaling law with Brune's stress drop ranging from 0.01 to about 2 MPa, which are well consistent with estimates in the present study. The observed ratio between P and S corner frequencies varies in the range 1–2 with a median value of

{italicf}_{italicc}^{italicP} / {italicf}_{italicc}^{italicS} = 1.5

(confidence limits: 0.9 and 2.4) which matches closely the value (1.52) expected from the theory of an expanding circular crack [ Madariaga , ], although data show a large dispersion (Figure ).…”

Section: Discussionsupporting

confidence: 88%

Source parameter scaling and radiation efficiency of microearthquakes along the Irpinia fault zone in southern Apennines, Italy

2014

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We analyzed the P and S wave displacement spectra of 717 microearthquakes in the moment range 4 × 10 9 À 2 × 10 14 N m recorded at the dense networks operating in southern Apennines (Italy) and deployed along the 1980 M s 6.9 Irpinia earthquake fault zone. Source, attenuation, and site parameters are estimated by using a parametric modeling approach, which is combined with a multistep, nonlinear inversion strategy. We found that in the analyzed frequency band, an attenuation model with constant Q has to be preferred to frequency-dependent Q models. Consistent estimates of the median P and S quality factors e Q P ¼ 167 (90; 296) and e Q S ¼ 226 (114; 417) are obtained from two different techniques and relatively high values of Q S /Q P (median value 1.3, (0.8; 2.1)) are found in the same depth range where high V P /V S and a peak in seismicity distribution are observed. This is the evidence for a highly fractured, partially, or completely fluid-saturated medium embedding the Irpinia fault zone, down to crustal depths of 15-20 km. A nearly constant stress drop ( f Δσ ¼ 1:4 MPa, (0.4; 5.0)) and apparent stress (e τ a ¼ 0:1 MPa, (0.03, 0.4)) scaling of P and S corner frequencies and seismic energies is observed above a seismic moment value of about 10 11 N m. The measured radiation efficiency is low (g η SW ¼ 0:06; 0:03; 0:13 ð Þ ), e.g., the radiated energy is only a small fraction of the whole energy spent by friction and fracture development. A large positive dynamic overshoot (high dynamic shear strength) can be the dominant mechanism controlling the microearthquake fractures along the Irpinia fault zone.

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{italicf}_{italicc}^{italicP} / {italicf}_{italicc}^{italicS} = 1.5

(confidence limits: 0.9 and 2.4) which matches closely the value (1.52) expected from the theory of an expanding circular crack [ Madariaga , ], although data show a large dispersion (Figure ).…”

Section: Discussionsupporting

confidence: 88%

Source parameter scaling and radiation efficiency of microearthquakes along the Irpinia fault zone in southern Apennines, Italy

2014

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“…Statistical bootstrapping has been successfully utilized by researchers in many areas of seismology. For example, bootstrapping was used to determine the standard deviation of the parameters of the GMPE model and the estimation of confidence intervals [11][12][13][14][15][16][17]. Another application of bootstrapping in seismology is for determining the uncertainty of estimated seismic deformations [18], determining the confidence intervals of the location of historical earthquakes [19], calculating the horizontal component of the seismic slowness vector [20], calculating the b parameter of the Gutenberg-Richter law [21], as well as estimating the uncertainty of the values describing seismic magnitude attenuation function [22].…”

Section: Introductionmentioning

confidence: 99%

Ground Motion Prediction of High-Energy Mining Seismic Events: A Bootstrap Approach

Bańka,

Lurka,

Szuła

2023

Energies

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Induced seismicity has been a serious problem for many coal mines in the Upper Silesian Coal Basin in Poland for many decades. The occurring mining tremors of the rock mass generate seismic vibrations that cause concern to the local population and in some rare cases lead to partial damage to buildings on the surface. The estimation of peak ground acceleration values caused by high energy mining seismic tremors is an important part of seismic hazard assessment in mining areas. A specially designed bootstrapping procedure has been applied to estimate the ground motion prediction model and makes it possible to calculate the confidence intervals of these peak ground acceleration values with no assumptions about the statistical distribution of the recorded seismic data. Monte Carlo sampling with the replacement for 132 seismic records measured for mining seismic tremors exceeding 150 mm/s2 have been performed to estimate the mean peak ground acceleration values and the corresponding upper limits of 95% confidence intervals. The specially designed bootstrap procedure and obtained ground motion prediction model reflect much better the observed PGA values and therefore provide more accurate PGA estimators compared to the GMPE model from multiple regression analysis. The bootstrap analysis of recorded peak ground acceleration values of high-energy mining tremors provides significant information on the level of seismic hazard on the surface infrastructure. A new tool has been proposed that allows for more reliable determination of PGA estimators and identification in the areas in coal mines that are prone to high-energy seismic activity.

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“…

Morozov's comment has its root in a new model proposed by Morozov (2008Morozov ( , 2010 for the interpretation of seismic attenuation data, where the author comes to the conclusion that the typically used geometrical spreading terms are oversimplified and argues in favor of a new geometrical spreading model basically including an additional corrective term decaying exponentially with time (respectively distance).

…”

mentioning

confidence: 99%

“…We thank Igor B. Morozov for his interest in our article and for his comment (Morozov, 2011) regarding the non-parametric attenuation curves for the IrpiniaBasilicata region obtained by generalized spectral inversion (Cantore et al, 2011). …”

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confidence: 99%

“…The step of fitting a parametric model to these non-parametric curves (equation 2 in Cantore et al, 2011) is not a part of the spectral inversion, as Morozov (2011) seems to suggest, but a simple interpretation of the non-parametric results (that might be done then also using a frequency-independent Q model). Indeed, no a priori assumptions are made on the parametric description of seismic attenuation when inverting the amplitudes (equation 1 in Cantore et al, 2011), and the non-parametric curves implicitly include all effects leading to amplitude reduction with distance (geometrical spreading, intrinsic and scattering attenuation), apart from potential 2D/3D effects. This is the great advantage of the non-parametric generalized inversion approach as first proposed by Castro et al (1990) compared to parametric inversion approaches (see for instance Oth et al, 2011, and references therein, for a more complete discussion of this issue).…”

mentioning

confidence: 99%

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Reply to “Comment on ‘Attenuation, source parameters and site effects in the Irpinia–Basilicata region (southern Apennines, Italy)’ by I.B. Morozov”

et al. 2011

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We thank Igor B. Morozov for his interest in our article and for his comment (Morozov, 2011) regarding the non-parametric attenuation curves for the IrpiniaBasilicata region obtained by generalized spectral inversion (Cantore et al., 2011).Morozov's comment has its root in a new model proposed by Morozov (2008Morozov ( , 2010 for the interpretation of seismic attenuation data, where the author comes to the conclusion that the typically used geometrical spreading terms are oversimplified and argues in favor of a new geometrical spreading model basically including an additional corrective term decaying exponentially with time (respectively distance). Morozov (2008Morozov ( , 2010 reanalyzed a range of datasets presented by other authors in the past using this model and, contrary to previous studies, concludes that all these datasets can be well explained using a frequency-independent Q e (which he terms as "effective Q"), in contrast to the classical power-law model often implying a significant frequency-dependence of Q.

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Attenuation, source parameters and site effects in the Irpinia–Basilicata region (southern Apennines, Italy)

Cited by 14 publications

References 33 publications

Source parameter scaling and radiation efficiency of microearthquakes along the Irpinia fault zone in southern Apennines, Italy

Source parameter scaling and radiation efficiency of microearthquakes along the Irpinia fault zone in southern Apennines, Italy

Ground Motion Prediction of High-Energy Mining Seismic Events: A Bootstrap Approach

Reply to “Comment on ‘Attenuation, source parameters and site effects in the Irpinia–Basilicata region (southern Apennines, Italy)’ by I.B. Morozov”

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