Detection of quarry and mine blast contamination in European regional catalogues

Gulia, Laura

doi:10.1007/s11069-009-9426-8

Cited by 28 publications

(24 citation statements)

References 60 publications

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“…To analyze the temporal evolution of b values in the L'Aquila source region, we select events in a circular area of 20 km radius, proportional to the fault length, centered on the main shock. The data set contains no quarry blasts [Wiemer and Baer, 2000;Gulia, 2010]. We assess the magnitude of completeness (M c ) by the maximum curvature criterion [Wiemer and Wyss, 2002;Mignan et al, 2011].…”

Section: Datamentioning

confidence: 99%

Short‐term probabilistic earthquake risk assessment considering time‐dependentbvalues

Gulia

Tormann

Wiemer

et al. 2016

Geophysical Research Letters

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Laboratory experiments highlight a systematic b value decrease during the stress increase period before failure, and some large natural events are known to show a precursory decrease in the b value. However, short‐term forecast models currently consider only the generic probability that an event can trigger subsequent seismicity in the near field. While the probability increase over a stationary Poissonian background is substantial, selected case studies have shown through cost‐benefit analysis that the absolute main shock probability remains too low to warrant significant mitigation actions. We analyze the probabilities considering both changes in the seismicity rates and temporal changes in the b value. The precursory b value decrease in the 2009 L'Aquila case results in an additional fiftyfold probability increase for a M6.3 event. Translated into time‐varying hazard and risk, these changes surpass the cost‐benefit threshold for short‐term evacuation.

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Section: Datamentioning

confidence: 99%

Short‐term probabilistic earthquake risk assessment considering time‐dependentbvalues

Gulia

Tormann

Wiemer

et al. 2016

Geophysical Research Letters

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“…We added the earthquakes from 01 March 2009 to 31 May 2009 from the I talian S eismic I nstrumental and parametric D ata‐bas e (ISIDe, http://iside.rm.ingv.it/iside/standard/index.jsp). All magnitudes were homogenized to ML [ Gasperini , 2002]; the catalogue was declustered using the standard parameters of Reasenberg [1985] and 6719 probably quarry blasts were removed based on mapping the day to night‐time ratio of events [ Gulia , 2010; Wiemer and Baer , 2000]. We considered only events with a maximum depth of 35 km: the final catalogue contains 43,713 events (Figure 1b).…”

Section: Datamentioning

confidence: 99%

The influence of tectonic regimes on the earthquake size distribution: A case study for Italy

Gulia

Wiemer

2010

Geophysical Research Letters

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121

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[1] We explore the hypothesis that the relative size distribution of earthquakes, or b-value, systematically depends on the style-of-faulting of seismotectonic zones. Because the b-value has been shown to be inversely proportional to stress, we expect to find b(thrust) < b (strike-slip) < b(normal). We test this expectation for the case of Italy. We first of all build a seismotectonic zonation model, consisting of 10 distinct tectonic zones. The faulting style of each zone is then characterized by the summed moment tensor of first-motion and full-waveform based focal mechanism. We calculate the b-value for each zone: the lowest values are obtained for reverse zones (0.75-0.81), highest for the normal (1.09), followed by the strikeslips (0.9-0.92). Our results suggest that b-values, which are a critical parameter in all seismic hazard assessments, should be set according to the local faulting regimes. In addition, seismotectonic zonation models should take b-value variations as one input. Citation: Gulia, L., and S. Weimer (2010), The influence of tectonic regimes on the earthquake size distribution: A case study for Italy, Geophys. Res. Lett.,

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“…The ground velocity spectra over a time window of 8 s duration of the vertical component seismograms at the 2 selected seismic stations, after applying butter worth band-pass filter (3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15), are shown in Figure 7. Comparable magnitudes of the order of M L ~2 are considered for spectral discrimination.…”

Section: Waveform Analysismentioning

confidence: 99%

Detection of Quarry Blasts in the Koyna-Warna Region, Western India

Shashidhar¹,

Rao²,

Satyanarayana³

et al. 2014

OJER

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Koyna-Warna is a seismically active region, characterized by earthquakes triggered by loading of artificial water reservoirs. In this region quarrying is ongoing and sometimes the quarry blasts are confused with triggered seismic events. About 410 events around a known mining area were observed during January 2007-October 2013. In general the quarry blasts are carried out mostly during the day time. Based on this fact a well known method of [1] is implemented, which has the capability of detecting the areas of quarry blast activity. Also, discrimination of quarry blasts from earthquakes has been achieved by studying waveforms at key seismic stations located close to the quarrying area. Further, distinction is achieved through spectral analysis in the frequency band of 3 -15 Hz. Ratio of day-time to night-time events, waveform pattern and spectral analysis approach confirm the presence of quarry blasts aligned south-east of the Warna reservoir.

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Detection of quarry and mine blast contamination in European regional catalogues

Cited by 28 publications

References 60 publications

Short‐term probabilistic earthquake risk assessment considering time‐dependentbvalues

Short‐term probabilistic earthquake risk assessment considering time‐dependentbvalues

The influence of tectonic regimes on the earthquake size distribution: A case study for Italy

Detection of Quarry Blasts in the Koyna-Warna Region, Western India

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