This document discusses seismic activity (earthquakes and tremor) on Mt. Etna from 1977-1986 and its relationship to eruptive events. Seismic records were analyzed and parameters like microseismic activity rate, tremor amplitude, and dominant spectral peaks were found to vary systematically in relation to eruptions. Summit eruptions follow two stages without major seismic changes, while flank eruptions follow three stages with simultaneous changes to all seismic parameters, including increased activity and a shift in tremor frequencies preceding eruptions. This allows proposing a preliminary model of magma uprise mechanisms for different eruption types.
This document compares the statistical properties of solar flares and earthquakes by analyzing event energy distributions, time series, and interevent times from solar flare and earthquake catalogs. It finds that the two phenomena exhibit different scaling statistics, and the same phenomenon observed in different periods or locations cannot be uniformly scaled to a single distribution. This suggests an apparent complexity in impulsive energy release processes that does not follow a common behavior attributable to a universal physical mechanism.
P-Wave Onset Point Detection for Seismic Signal Using Bhattacharyya DistanceCSCJournals
In seismology Primary p-wave arrival identification is a fundamental problem for the geologist worldwide. Several numbers of algorithms that deal with p-wave onset detection and identification have already been proposed. Accurate p- wave picking is required for earthquake early warning system and determination of epicenter location etc. In this paper we have proposed a novel algorithm for p-wave detection using Bhattacharyya distance for seismic signals. In our study we have taken 50 numbers of real seismic signals (generated by earthquake) recorded by K-NET (Kyoshin network), Japan. Our results show maximum standard deviation of 1.76 sample from true picks which gives better accuracy with respect to ratio test method.
Seismic attribute analysis using complex trace analysisSomak Hajra
The document discusses seismic attributes, which are measurements or properties obtained from seismic data that provide information about rock properties. It defines various types of attributes such as pre-stack, instantaneous, physical, and multi-trace attributes. The document also discusses the analysis of key seismic attributes like reflection strength, instantaneous phase and frequency through the use of complex trace analysis. Finally, it concludes that seismic attributes are important tools that help interpreters extract more information from seismic data for applications like hydrocarbon exploration and reservoir characterization.
This document summarizes research on identifying sound sources and propagation in a supersonic jet. It first decomposes the jet flowfield into acoustic, hydrodynamic and vortical modes using Momentum Potential Theory. This identifies a coherent axial acoustic wavepacket in the jet core and shows fluctuating hydrodynamics interacting with vorticity as the dominant sound source. A novel Synchronized Large-Eddy Simulation technique then analyzes perturbation evolution, showing intermittent wavefronts and shifts to lower frequencies downstream, consistent with experiments. Future work will combine these methods to further study sound source characteristics and evolution of modes from specific forcing locations in the jet.
This document summarizes a study that performed broadband frequency simulations of strong ground motion in the Sea of Marmara region of Turkey based on fault rupture scenarios. Three earthquake scenarios were modeled involving rupture of the Central Marmara Fault and North Boundary Fault, which pose the largest hazard to Istanbul. A hybrid technique was used that combines deterministic and semi-stochastic methods. The location of the hypocenter was found to be a critical parameter for predicting ground motions in Istanbul. Anelasticity was also found to significantly affect regional attenuation of peak ground accelerations. The simulated ground motions resulted in large acceleration response spectra at long periods that could be critical for building damage in Istanbul during an actual earthquake.
1) Numerical simulations of magnetized accretion disks show evidence of selective transport of large-scale magnetic field modes from the disk into the corona.
2) A greater fraction of magnetic energy in the corona is stored in these large-scale modes compared to the disk, where energy is more evenly distributed across scales.
3) Magnetic field anisotropy decreases with height from the disk midplane, and turbulence and buoyancy may work together to explain observed non-toroidal field configurations transported out of the disk.
This document provides a 3-paragraph summary of the Empirical Green's Function Method for simulating strong ground motions from large earthquakes:
1) The Empirical Green's Function Method uses observed records from small earthquakes around a large earthquake's source area to simulate strong ground motions from the large earthquake. It accounts for complex wave propagation effects by incorporating observations. Parameters are estimated to scale up the small earthquake records to the large earthquake.
2) Key parameters - like the ratio of fault dimensions (N) and stress drops (C) between the large and small earthquakes - are estimated using spectral ratios of the earthquakes. A "filtering function" is used to adjust for differences in slip velocity time functions between
1) The document examines the frequency-magnitude relationship for small earthquakes recorded at a borehole seismograph station in the Newport-Inglewood fault zone.
2) It finds a clear departure from the expected linear relationship for magnitudes below 3, with frequencies of M=0.5 earthquakes almost 10 times lower than expected.
3) This provides evidence that the frequency-magnitude relationship departs from self-similarity below about magnitude 3, coinciding with the observed departure of corner frequency from self-similarity. This supports the interpretation that the upper limit of large earthquake spectra (fmax) is related to fault zone size.
This document compares the statistical properties of solar flares and earthquakes by analyzing event energy distributions, time series, and interevent times from solar flare and earthquake catalogs. It finds that the two phenomena exhibit different scaling statistics, and the same phenomenon observed in different periods or locations cannot be uniformly scaled to a single distribution. This suggests an apparent complexity in impulsive energy release processes that does not follow a common behavior attributable to a universal physical mechanism.
P-Wave Onset Point Detection for Seismic Signal Using Bhattacharyya DistanceCSCJournals
In seismology Primary p-wave arrival identification is a fundamental problem for the geologist worldwide. Several numbers of algorithms that deal with p-wave onset detection and identification have already been proposed. Accurate p- wave picking is required for earthquake early warning system and determination of epicenter location etc. In this paper we have proposed a novel algorithm for p-wave detection using Bhattacharyya distance for seismic signals. In our study we have taken 50 numbers of real seismic signals (generated by earthquake) recorded by K-NET (Kyoshin network), Japan. Our results show maximum standard deviation of 1.76 sample from true picks which gives better accuracy with respect to ratio test method.
Seismic attribute analysis using complex trace analysisSomak Hajra
The document discusses seismic attributes, which are measurements or properties obtained from seismic data that provide information about rock properties. It defines various types of attributes such as pre-stack, instantaneous, physical, and multi-trace attributes. The document also discusses the analysis of key seismic attributes like reflection strength, instantaneous phase and frequency through the use of complex trace analysis. Finally, it concludes that seismic attributes are important tools that help interpreters extract more information from seismic data for applications like hydrocarbon exploration and reservoir characterization.
This document summarizes research on identifying sound sources and propagation in a supersonic jet. It first decomposes the jet flowfield into acoustic, hydrodynamic and vortical modes using Momentum Potential Theory. This identifies a coherent axial acoustic wavepacket in the jet core and shows fluctuating hydrodynamics interacting with vorticity as the dominant sound source. A novel Synchronized Large-Eddy Simulation technique then analyzes perturbation evolution, showing intermittent wavefronts and shifts to lower frequencies downstream, consistent with experiments. Future work will combine these methods to further study sound source characteristics and evolution of modes from specific forcing locations in the jet.
This document summarizes a study that performed broadband frequency simulations of strong ground motion in the Sea of Marmara region of Turkey based on fault rupture scenarios. Three earthquake scenarios were modeled involving rupture of the Central Marmara Fault and North Boundary Fault, which pose the largest hazard to Istanbul. A hybrid technique was used that combines deterministic and semi-stochastic methods. The location of the hypocenter was found to be a critical parameter for predicting ground motions in Istanbul. Anelasticity was also found to significantly affect regional attenuation of peak ground accelerations. The simulated ground motions resulted in large acceleration response spectra at long periods that could be critical for building damage in Istanbul during an actual earthquake.
1) Numerical simulations of magnetized accretion disks show evidence of selective transport of large-scale magnetic field modes from the disk into the corona.
2) A greater fraction of magnetic energy in the corona is stored in these large-scale modes compared to the disk, where energy is more evenly distributed across scales.
3) Magnetic field anisotropy decreases with height from the disk midplane, and turbulence and buoyancy may work together to explain observed non-toroidal field configurations transported out of the disk.
This document provides a 3-paragraph summary of the Empirical Green's Function Method for simulating strong ground motions from large earthquakes:
1) The Empirical Green's Function Method uses observed records from small earthquakes around a large earthquake's source area to simulate strong ground motions from the large earthquake. It accounts for complex wave propagation effects by incorporating observations. Parameters are estimated to scale up the small earthquake records to the large earthquake.
2) Key parameters - like the ratio of fault dimensions (N) and stress drops (C) between the large and small earthquakes - are estimated using spectral ratios of the earthquakes. A "filtering function" is used to adjust for differences in slip velocity time functions between
1) The document examines the frequency-magnitude relationship for small earthquakes recorded at a borehole seismograph station in the Newport-Inglewood fault zone.
2) It finds a clear departure from the expected linear relationship for magnitudes below 3, with frequencies of M=0.5 earthquakes almost 10 times lower than expected.
3) This provides evidence that the frequency-magnitude relationship departs from self-similarity below about magnitude 3, coinciding with the observed departure of corner frequency from self-similarity. This supports the interpretation that the upper limit of large earthquake spectra (fmax) is related to fault zone size.
1980 öncesi deprem istasyon sayısı Türkiye'de herhalde 50'den azdı ve bu nedenle deprem istatistiği çalışmaları Türkiye boyunca çok büyük alanlara bölünerek yapılmış. Okla gösterdiğim yerlerde magnitüd aralığı çok yetersiz. Bu çalışmada, 4x4 şeklinde dilimleme yapılmış. 400kmx400 km olarak dilimlere ayrılarak yapılmış. Veri olmadığı zaman mecbur ALANI büyütmek zorunda kalıyorsunuz... bu nedenle Makro-İstatistik İnceleme yapılmış oluyor.a/b oranını çalışmalarımda hiç kullanmadım fakat bana kalırsa yararlı bir parametre olarak görünüyor. Bir yıl içinde olması beklenen en büyük deprem büyüklüğünü veriyor. Buna göre bu çalışmada, bir yıl içinde beklenen en büyük deprem M=5 bulunmuş ve alan 39 E ve 41 B arasında bir yere denk geliyor... muhtemelen Karlıova Üçlü Bileşimi çevresi olabilir.
The study uses seismic tomography to image P- and S-wave velocity perturbations in the crust and upper mantle beneath Iran. Arrival times from over 2800 earthquakes recorded at over 2000 stations were used to perform inverse tomography. The results show that the crust and upper mantle beneath the Iranian Plateau has lower velocities than the surrounding Arabian and Caspian plates. The anomalies provide evidence of subduction of the Oman Sea crust beneath southeast Iran, though the subduction pattern is more complex along the Zagros suture zone.
This document summarizes a study that investigated shear-wave attenuation and site response in Guerrero, Mexico using spectra from moderate earthquakes. The researchers developed a method to model spectra assuming an ω-2 source shape and exponential decay to describe attenuation. They were able to separate the spectral decay parameter into distance-dependent and site-dependent components. Comparing observed and model event spectra allowed them to estimate site response effects for different stations, independent of source and path effects. The study found weaker distance dependence of attenuation in Guerrero compared to southern California, but greater near-site attenuation. Significant amplification and deamplification was observed in site response functions for hard rock sites, with no clear correlation with local geology or topography.
This document provides instructions for analyzing the distribution of earthquakes based on magnitude, time, and location with a focus on clustering characteristics. It discusses Gutenberg-Richter's law which describes the relationship between earthquake magnitude and frequency. It also examines methods for calculating the b-value coefficient and considers the effects of aftershocks on magnitude distributions. The document proposes a model relating the magnitude distributions of main shocks, aftershocks, and all earthquakes based on b-values and the degree of aftershock activity.
This document summarizes a research paper on using discrete wavelet transform (DWT) and empirical mode decomposition (EMD) to remove "ghosting effects" from seismic signals. It begins with an introduction to earthquakes and how they are recorded via seismographs. It then describes existing filtering methods and their limitations. The proposed method uses 1D convolutional filtering and vibration analysis with DWT and EMD to enhance noisy seismic wave signals. It involves steps like magnitude spectrum estimation, windowing, phase estimation, noise variance prediction, and directional estimation. The method is able to attenuate coherent noise and improve seismic wave detection, separation and tracking. In conclusion, time-scale directional filters are a powerful tool for seismic data
This document presents a sensitivity analysis of the combination evapotranspiration equation, which estimates potential evapotranspiration (PET). Sensitivity equations were derived by differentiating the combination equation with respect to each variable. Applying two years of daily data from Iowa, the sensitivity coefficients showed that computed PET is most sensitive to net radiation. During midyear, a 50-90% change in radiation results in the same percentage change in PET, while a change in vapor pressure deficit or wind only changes PET by 20-30%. In spring and fall, aerodynamic variables like wind have a larger effect on PET values. Overall, the analysis provides insight into the relative impact of each variable in the evapotranspiration equation.
Quality factor of seismic coda waves in garhwaliaemedu
This document analyzes seismic coda wave attenuation in the Garhwal Himalayan region using data from 75 earthquakes recorded between 2004-2006. Coda quality factor (QC) values were estimated at different frequencies using a lapse time of 50 seconds and four coda window lengths. QC was found to fit a power law relationship with frequency, with exponents ranging from 0.967 to 1.016. Lower QC values at lower frequencies indicate higher attenuation, while higher QC values at higher frequencies indicate lower attenuation, suggesting heterogeneity decreases with depth in the study region.
Quality factor of seismic coda waves in garhwal himalayasiaemedu
This document analyzes seismic coda wave attenuation in the Garhwal Himalayan region using data from 75 earthquakes recorded between 2004-2006. Coda quality factor (QC) values were estimated at different frequencies using a lapse time of 50 seconds and four coda window lengths. QC was found to fit a power law relationship with frequency, with exponents ranging from 0.967 to 1.016. Lower QC values at lower frequencies indicate higher attenuation, while higher QC values at higher frequencies indicate lower attenuation, suggesting heterogeneity decreases with depth in the study region.
Quality factor of seismic coda waves in garhwal himalayas 2IAEME Publication
This document analyzes seismic coda wave attenuation in the Garhwal Himalayan region using data from 75 earthquakes recorded between 2004-2006. Coda quality factor (QC) values were estimated at different frequencies using a lapse time of 50 seconds and four coda window lengths. QC was found to fit a power law relationship with frequency, with exponents ranging from 0.967 to 1.016. Lower QC values at lower frequencies indicate higher attenuation, while higher QC values at higher frequencies indicate lower attenuation, suggesting heterogeneity decreases with depth in the study region.
The document analyzes changes in earthquake cumulative frequency-magnitude distributions over time. It finds that:
1) Applying an upper-truncated power law to distributions between large earthquakes yields a scaling parameter (α-value) that remains constant, unlike the b-value from a standard power law which varies.
2) Analysis of a seismically active region off the coast of South America between 1973-2000 reveals four large earthquakes and an overall b-value of 0.58 applying a power law to the full period.
3) Applying an upper-truncated power law to periods between the large quakes yields α-values equal to the overall b-value, suggesting b-value changes are due to
X-RAY MEASUREMENTS OF THE PARTICLE ACCELERATION PROPERTIES AT INWARD SHOCKS I...Sérgio Sacani
We present new evidence that the bright non-thermal X-ray emission features in the interior of the Cassiopeia A
supernova remnant (SNR) are caused by inward moving shocks based on Chandra and NuSTAR observations. Several
bright inward-moving filaments were identified using monitoring data taken by Chandra in 2000–2014. These inwardmoving shock locations are nearly coincident with hard X-ray (15–40 keV) hot spots seen by NuSTAR. From proper
motion measurements, the transverse velocities were estimated to be in the range ∼2,100–3,800 km s−1
for a distance of
3.4 kpc. The shock velocities in the frame of the expanding ejecta reach values of ∼5,100–8,700 km s−1
, slightly higher
than the typical speed of the forward shock. Additionally, we find flux variations (both increasing and decreasing) on
timescales of a few years in some of the inward-moving shock filaments. The rapid variability timescales are consistent
with an amplified magnetic field of B ∼ 0.5–1 mG. The high speed and low photon cut-off energy of the inward-moving
shocks are shown to imply a particle diffusion coefficient that departs from the Bohm regime (k0 = D0/D0,Bohm ∼ 3–8)
for the few simple physical configurations we consider in this study. The maximum electron energy at these shocks is
estimated to be ∼8–11 TeV, smaller than the values of ∼15–34 TeV inferred for the forward shock. Cassiopeia A is
dynamically too young for its reverse shock to appear to be moving inward in the observer frame. We propose instead
that the inward-moving shocks are a consequence of the forward shock encountering a density jump of & 5–8 in the
surrounding material.
Towards the identification of the primary particle nature by the radiodetecti...Ahmed Ammar Rebai PhD
This document summarizes a study using the CODALEMA experiment to analyze radio signals from air showers and identify properties of primary cosmic ray particles. It describes:
1) Analyzing time delays of radio signals compared to a plane wavefront hypothesis and finding systematic deviations, indicating the wavefront is curved.
2) Developing a model to reconstruct the emission center position based on fitting time delays to a parabolic function dependent on curvature radius and antenna distances.
3) Applying the model to 450 selected CODALEMA events and comparing reconstructed shower core positions to results from other models, finding consistency.
This document discusses the recycling of magnetic flux in the quiet Sun's corona. It presents a study that uses magnetogram observations to track photospheric magnetic flux fragments over time and models their evolution using a potential field approximation. The main findings are:
1) The quiet Sun's coronal flux is generally recycled on much shorter timescales, around 3 hours, than the corresponding recycling timescale of photospheric flux, which is around 8-19 hours.
2) When also considering emergence and cancellation of photospheric flux, the net replacement time of coronal flux is estimated to be only 1.4 hours.
3) The amount of magnetic reconnection driven by the motions and interactions of photospheric
Stationary waves and slowly moving features in the night upper clouds of VenusSérgio Sacani
This document summarizes observations of nightside cloud features in Venus' upper atmosphere made using infrared imaging from the Venus Express spacecraft and ground-based telescopes. Three types of cloud features were observed: 1) Nearly stationary wave patterns with speeds of -10 to +10 m/s, 2) Fast moving filaments and shear-like features with speeds consistent with the daytime cloud tops, and 3) Variable speed patchy features with speeds ranging from -100 to -50 m/s and some moving more slowly. Radiative transfer modeling indicates the features observed in infrared wavelengths of 3.8 and 5.0 μm originate between altitudes of 60-72 km.
This document summarizes a study of mesospheric gravity waves over McMurdo Station, Antarctica using infrared imaging:
1) Over 400 short-period gravity waves were observed between March-September 2012, with average horizontal wavelength of 22 km, phase speed of 42 m/s, and period of 12 minutes.
2) Waves exhibited seasonal variations in propagation direction, with northwest in fall expanding to northeast and southwest in winter and more isotropic propagation in late winter.
3) Analysis of 73 continuous hours in June revealed over 40 gravity wave events with characteristics consistent with full season results. Diurnal and semidiurnal tides were also observed.
4) Later season observations in August showed higher average phase
This document summarizes a study examining the hypergiant star ρ Cassiopeiae. The researchers developed a model to explain ρ Cassiopeiae's variable mass loss rate, high microturbulent velocity, and Hα emission line profile using a stochastic field of shock waves in the star's atmosphere. Their model successfully reproduced the observed mass loss rate, microturbulent velocity, and aspects of the Hα profile using only one parameter - the maximum Mach number of shock waves in the atmosphere. The model indicates that thin, hot regions behind shock waves are responsible for the observed microturbulence and contribute to Hα emission.
15th World Conference on Earthquake Engineering, Lisbon, Portugal, 2012 - Presentation Paper 628: AN ASSESSMENT OF THE RELEVANCE OF PARAMETERS USED FORGROUND MOTION FREQUENCY CONTENT CHARACTERIZATIONWITH APPLICATION TO VRANCEA SUBCRUSTAL EARTHQUAKES
The October 2004 Mw=7.1 Nicaragua earthquake: Rupture process, aftershock loc...Gus Alex Reyes
The subduction zone off the Nicaragua
coastline has been the site of several large
earthquakes in the past decades, including
the 1992 tsunami earthquake that was
anomalous in the size of the tsunami relative
to moment release [Kanamori and
Kikuchi, 1993]. As a focus site for both
the MARGINS-SEIZE and SubFac initiatives,
it is an area of keen interest for
scientists interested in earthquake rupture
and volcanic processes.
The canarias einstein_ring_a_newly_discovered_optical_einstein_ringSérgio Sacani
This document reports the discovery of a newly discovered optical Einstein ring (ER) called the "Canarias Einstein Ring". It was discovered serendipitously in imaging data from the Dark Energy Camera. Follow-up spectroscopy with the Gran Telescopio CANARIAS confirmed the nature of the system, with the lens being an early-type galaxy at a redshift of z=0.581 and the source being a starburst galaxy at z=1.165. Analysis of the system determined the Einstein radius to be 2.16 arcseconds and the total enclosed mass producing the lensing effect to be 1.86 ± 0.23 × 1012 solar masses.
This paper proposes a maximum likelihood estimation method for determining the parameters of a modified Gutenberg-Richter magnitude-frequency relation proposed by Lomnitz-Adler and Lomnitz. The relation is a double exponential function with parameters a and B. The maximum likelihood method provides equations that allow iterative determination of parameter a from earthquake catalog data. Parameter B can then be estimated from the data and value of a. The method is demonstrated on a Chinese earthquake catalog, obtaining values of a = 0.10 and B = 10.34.
Business Proposal Letter THE RESEARCH PROPOMartha Brown
1. The document describes the steps to request assignment writing help from HelpWriting.net, including creating an account, submitting a request form, reviewing writer bids, selecting a writer, and revising the completed paper.
2. Students complete a form providing instructions, sources, and deadline for their assignment. Writers then bid on the request and students choose a writer based on qualifications.
3. The platform uses a bidding system where students pay a deposit after selecting a writer, and can request free revisions to ensure satisfaction with the original, plagiarism-free content provided.
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1. It provides insights into customer behavior on websites to help optimize the user experience.
2. Data from analytics can be used to improve marketing campaigns and increase their effectiveness.
3. Analytics allows businesses to test different content and page designs to see what performs best, helping the organization stay competitive.
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1980 öncesi deprem istasyon sayısı Türkiye'de herhalde 50'den azdı ve bu nedenle deprem istatistiği çalışmaları Türkiye boyunca çok büyük alanlara bölünerek yapılmış. Okla gösterdiğim yerlerde magnitüd aralığı çok yetersiz. Bu çalışmada, 4x4 şeklinde dilimleme yapılmış. 400kmx400 km olarak dilimlere ayrılarak yapılmış. Veri olmadığı zaman mecbur ALANI büyütmek zorunda kalıyorsunuz... bu nedenle Makro-İstatistik İnceleme yapılmış oluyor.a/b oranını çalışmalarımda hiç kullanmadım fakat bana kalırsa yararlı bir parametre olarak görünüyor. Bir yıl içinde olması beklenen en büyük deprem büyüklüğünü veriyor. Buna göre bu çalışmada, bir yıl içinde beklenen en büyük deprem M=5 bulunmuş ve alan 39 E ve 41 B arasında bir yere denk geliyor... muhtemelen Karlıova Üçlü Bileşimi çevresi olabilir.
The study uses seismic tomography to image P- and S-wave velocity perturbations in the crust and upper mantle beneath Iran. Arrival times from over 2800 earthquakes recorded at over 2000 stations were used to perform inverse tomography. The results show that the crust and upper mantle beneath the Iranian Plateau has lower velocities than the surrounding Arabian and Caspian plates. The anomalies provide evidence of subduction of the Oman Sea crust beneath southeast Iran, though the subduction pattern is more complex along the Zagros suture zone.
This document summarizes a study that investigated shear-wave attenuation and site response in Guerrero, Mexico using spectra from moderate earthquakes. The researchers developed a method to model spectra assuming an ω-2 source shape and exponential decay to describe attenuation. They were able to separate the spectral decay parameter into distance-dependent and site-dependent components. Comparing observed and model event spectra allowed them to estimate site response effects for different stations, independent of source and path effects. The study found weaker distance dependence of attenuation in Guerrero compared to southern California, but greater near-site attenuation. Significant amplification and deamplification was observed in site response functions for hard rock sites, with no clear correlation with local geology or topography.
This document provides instructions for analyzing the distribution of earthquakes based on magnitude, time, and location with a focus on clustering characteristics. It discusses Gutenberg-Richter's law which describes the relationship between earthquake magnitude and frequency. It also examines methods for calculating the b-value coefficient and considers the effects of aftershocks on magnitude distributions. The document proposes a model relating the magnitude distributions of main shocks, aftershocks, and all earthquakes based on b-values and the degree of aftershock activity.
This document summarizes a research paper on using discrete wavelet transform (DWT) and empirical mode decomposition (EMD) to remove "ghosting effects" from seismic signals. It begins with an introduction to earthquakes and how they are recorded via seismographs. It then describes existing filtering methods and their limitations. The proposed method uses 1D convolutional filtering and vibration analysis with DWT and EMD to enhance noisy seismic wave signals. It involves steps like magnitude spectrum estimation, windowing, phase estimation, noise variance prediction, and directional estimation. The method is able to attenuate coherent noise and improve seismic wave detection, separation and tracking. In conclusion, time-scale directional filters are a powerful tool for seismic data
This document presents a sensitivity analysis of the combination evapotranspiration equation, which estimates potential evapotranspiration (PET). Sensitivity equations were derived by differentiating the combination equation with respect to each variable. Applying two years of daily data from Iowa, the sensitivity coefficients showed that computed PET is most sensitive to net radiation. During midyear, a 50-90% change in radiation results in the same percentage change in PET, while a change in vapor pressure deficit or wind only changes PET by 20-30%. In spring and fall, aerodynamic variables like wind have a larger effect on PET values. Overall, the analysis provides insight into the relative impact of each variable in the evapotranspiration equation.
Quality factor of seismic coda waves in garhwaliaemedu
This document analyzes seismic coda wave attenuation in the Garhwal Himalayan region using data from 75 earthquakes recorded between 2004-2006. Coda quality factor (QC) values were estimated at different frequencies using a lapse time of 50 seconds and four coda window lengths. QC was found to fit a power law relationship with frequency, with exponents ranging from 0.967 to 1.016. Lower QC values at lower frequencies indicate higher attenuation, while higher QC values at higher frequencies indicate lower attenuation, suggesting heterogeneity decreases with depth in the study region.
Quality factor of seismic coda waves in garhwal himalayasiaemedu
This document analyzes seismic coda wave attenuation in the Garhwal Himalayan region using data from 75 earthquakes recorded between 2004-2006. Coda quality factor (QC) values were estimated at different frequencies using a lapse time of 50 seconds and four coda window lengths. QC was found to fit a power law relationship with frequency, with exponents ranging from 0.967 to 1.016. Lower QC values at lower frequencies indicate higher attenuation, while higher QC values at higher frequencies indicate lower attenuation, suggesting heterogeneity decreases with depth in the study region.
Quality factor of seismic coda waves in garhwal himalayas 2IAEME Publication
This document analyzes seismic coda wave attenuation in the Garhwal Himalayan region using data from 75 earthquakes recorded between 2004-2006. Coda quality factor (QC) values were estimated at different frequencies using a lapse time of 50 seconds and four coda window lengths. QC was found to fit a power law relationship with frequency, with exponents ranging from 0.967 to 1.016. Lower QC values at lower frequencies indicate higher attenuation, while higher QC values at higher frequencies indicate lower attenuation, suggesting heterogeneity decreases with depth in the study region.
The document analyzes changes in earthquake cumulative frequency-magnitude distributions over time. It finds that:
1) Applying an upper-truncated power law to distributions between large earthquakes yields a scaling parameter (α-value) that remains constant, unlike the b-value from a standard power law which varies.
2) Analysis of a seismically active region off the coast of South America between 1973-2000 reveals four large earthquakes and an overall b-value of 0.58 applying a power law to the full period.
3) Applying an upper-truncated power law to periods between the large quakes yields α-values equal to the overall b-value, suggesting b-value changes are due to
X-RAY MEASUREMENTS OF THE PARTICLE ACCELERATION PROPERTIES AT INWARD SHOCKS I...Sérgio Sacani
We present new evidence that the bright non-thermal X-ray emission features in the interior of the Cassiopeia A
supernova remnant (SNR) are caused by inward moving shocks based on Chandra and NuSTAR observations. Several
bright inward-moving filaments were identified using monitoring data taken by Chandra in 2000–2014. These inwardmoving shock locations are nearly coincident with hard X-ray (15–40 keV) hot spots seen by NuSTAR. From proper
motion measurements, the transverse velocities were estimated to be in the range ∼2,100–3,800 km s−1
for a distance of
3.4 kpc. The shock velocities in the frame of the expanding ejecta reach values of ∼5,100–8,700 km s−1
, slightly higher
than the typical speed of the forward shock. Additionally, we find flux variations (both increasing and decreasing) on
timescales of a few years in some of the inward-moving shock filaments. The rapid variability timescales are consistent
with an amplified magnetic field of B ∼ 0.5–1 mG. The high speed and low photon cut-off energy of the inward-moving
shocks are shown to imply a particle diffusion coefficient that departs from the Bohm regime (k0 = D0/D0,Bohm ∼ 3–8)
for the few simple physical configurations we consider in this study. The maximum electron energy at these shocks is
estimated to be ∼8–11 TeV, smaller than the values of ∼15–34 TeV inferred for the forward shock. Cassiopeia A is
dynamically too young for its reverse shock to appear to be moving inward in the observer frame. We propose instead
that the inward-moving shocks are a consequence of the forward shock encountering a density jump of & 5–8 in the
surrounding material.
Towards the identification of the primary particle nature by the radiodetecti...Ahmed Ammar Rebai PhD
This document summarizes a study using the CODALEMA experiment to analyze radio signals from air showers and identify properties of primary cosmic ray particles. It describes:
1) Analyzing time delays of radio signals compared to a plane wavefront hypothesis and finding systematic deviations, indicating the wavefront is curved.
2) Developing a model to reconstruct the emission center position based on fitting time delays to a parabolic function dependent on curvature radius and antenna distances.
3) Applying the model to 450 selected CODALEMA events and comparing reconstructed shower core positions to results from other models, finding consistency.
This document discusses the recycling of magnetic flux in the quiet Sun's corona. It presents a study that uses magnetogram observations to track photospheric magnetic flux fragments over time and models their evolution using a potential field approximation. The main findings are:
1) The quiet Sun's coronal flux is generally recycled on much shorter timescales, around 3 hours, than the corresponding recycling timescale of photospheric flux, which is around 8-19 hours.
2) When also considering emergence and cancellation of photospheric flux, the net replacement time of coronal flux is estimated to be only 1.4 hours.
3) The amount of magnetic reconnection driven by the motions and interactions of photospheric
Stationary waves and slowly moving features in the night upper clouds of VenusSérgio Sacani
This document summarizes observations of nightside cloud features in Venus' upper atmosphere made using infrared imaging from the Venus Express spacecraft and ground-based telescopes. Three types of cloud features were observed: 1) Nearly stationary wave patterns with speeds of -10 to +10 m/s, 2) Fast moving filaments and shear-like features with speeds consistent with the daytime cloud tops, and 3) Variable speed patchy features with speeds ranging from -100 to -50 m/s and some moving more slowly. Radiative transfer modeling indicates the features observed in infrared wavelengths of 3.8 and 5.0 μm originate between altitudes of 60-72 km.
This document summarizes a study of mesospheric gravity waves over McMurdo Station, Antarctica using infrared imaging:
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A Model For Internal Dynamical Processes On Mt Etna
1. Geophysical Journal zyxwvutsrqpon
(1989) 97, 367-319zyxwvutsrq
A model for internal dynamical processes on Mt Etna
M. Cosentino*, G. Lombardo* and E. Privitera** zyxw
' zyxw
1st. Scienze della Terra, Univ. Caiania, C. zyxwvutsr
so Italia 55, 95129 Catania, and ** 1st. Internaz. di Vulcanologia, CNR Caiania, V. le Regiw
Margherita 6, 95123 Catania, Italy
Accepted 1988October zyxwvutsrq
5. Received 1988 October 5; in original form 1988February 23
SUMMARY
Results of studies concerning seismic activity (earthquakes and tremor) and its relation with
eruptive events on Mt Etna are briefly discussed.
Seismic records collected from 1977 up to 1986 have been analysed and special care was
given to observation of changes in some seismic parameters, such as the rate of microseismic
activity, the amplitude and dominant spectral peaks of the volcanic tremor, which vary
significantly in relation to the occurrence of eruptive events.
The systematic nature of variations in the seismic parameters considered allows us to
propose a preliminary model which puts all the observations made so far into a wide context
giving an interpretative hypothesis of the magma uprise mechanisms preceding either summit
or flank eruptions.
Summit eruptions are modelled in two stages and occur without changes in the seismic
parameters considered, except for a sharp increase in tremor amplitude almost coincident in
time with the eruption onset.
Flank eruptions are modelled in three stages and follow a simultaneous change of all the
mentioned parameters with time. The onset of these eruptions is in fact preceded by an
increase in both the daily number of shocks and the amplitude of the volcanic tremor as well
as a shifting from relatively high values in the dominant peaks of the tremor spectra, which
appear in the pre-eruptive stage, towards usual lower frequency values (1.0-2.3 zy
Hz).
Key words: Etna, earthquakes, tremor
1 INTRODUCTION
Monitoring of seismic activity on Mt Etna started in 1967
(Bottari & Riuscetti 1967). The quality and completeness of
data (earthquakes and tremor) has improved with time and
good reliability has been achieved since 1977. The present
configuration of the seismic network is shown in Fig. 1.
Preliminary reliable results, concerning the characteriza-
tion of etnean seismicity, have been obtained by Barbano et
af. (1979).
The internal structure of the volcano was seismically
investigated by Sharp, Davis & Cray (1980). They were able
to obtain a crustal velocity model for the etnean area and
also postulated the existence of a magmatic body at a depth
ranging from 16 to 24km. These features were also
confirmed by further detailed studies on etnean seismic
activity (Cosentino & Lombardo 1984; Cosentino et al.
1989a).
Moreover, preliminary source mechanisms of etnean
earthquakes were obtained by Scarpa, Patant & Lombardo
(1983) and Gresta, Glot & Patane (1985).
Volcanic tremor at Mt Etna has been monitored by
both the permanent seismic network and periodic field
measurements since 1971. Seidl, Schick & Riuscetti (1981)
assume an hydraulic origin for the etnean volcanic tremor.
According to their model, volcanic tremor can be explained
as seismic waves generated by pressure fluctuations due to
rapid movements of the gas-fluid system inside the ducts of
the volcano.
The comparison between theoretical models and data
collected has shown (Schick ef al., 1982a) that the spectrum
of volcanic tremor, at a distance r from the source, can be
represented by the equation:
A(r,f)=XA,f"exp- y.f2+- r),
I ( v,.,Q
where A(r,f) is the amplitude at distance r from the
elementary source, Ai is the source strength of the ith
source, Nj (with i = 1, 2, 3) is the order of the ith source,f is
the frequency, Mi is the factor of spatial and temporal
coherence of the ith source and (nf&,Q)r is the
attenuation factor from source i to the recording station.
In this model, the source region is described by the
summation of punctual sources characterized by the
respective current vector. The current field can be described
as a combination of linear components of flow. In this case it
is sufficient to consider the first three elementary
components: monopole, dipole and quadrupole. The
monopole term corresponds to the introduction or
withdrawal of fluid into (or out of) the source region, the
dipole component corresponds to thermal convection, and
367
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N E crater
S E crater
Flgue zyxwvutsrqpon
1. Sketch map of the fractures and lava flows related to the main eruptive activities which have occurredon Mt Etna from 1977 tc
T
r
i
a
n
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sshow the position of the seismic stations. zyxwvutsrq
the quadruple term is associated with vortical and
turbulent flow (Kirbani 1983). Following Morse & Ingard
(1968), the radiation power of each of these individual
source parameters may be calculated by considering them as
simple harmonic oscillators. Moreover, the mutual coupling
between punctual sources, which is a function of time and
space, is assumed, as well as an attenuation law which takes
into account the damping effect of the waves propagating
out of the source region.
Spectra of volcanic tremor on Mt Etna show a systematic
nature in their dominant frequencies, which have been
repeated over several years in the range 1.0-4.OHz. As an
application of the model previously described, Schick et al.
(1982a, b) have estimated the size of the main dykes of the
etnean feeding system, describing each dyke as a harmonic
oscillator which resonates according to its eigenfrequency
when excited by the non-stationary flow of the magma. An
electrical analogue of this volcanic system was also modelled
by Kirbani (1983).
More recently, Cosentino et al. (1989b) have obtained a
revised version of the sketch representing the upper portion
of the volcano feeding system (Fig. 2), using the same a zy
priori assumptions which allowed Schick et zyx
a/. (1982a, b)
and Kirbani (1983) to obtain a simplified physical model.
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500 zyxwvutsrqponml
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F i 2. Structural model of the main feeding dykes existing in the upper parts of the volcano (redrawn and simplified from Cosentino er al.
1989). Values of frequencies are associated with different portions of the feeding dykes, according to visual observations and to a simplified
assumption. It is assumed that the frequencies change from lower to higher values going from deeper to shallower parts of the dykes, as the
dyke sue, in general, is supposed to get smaller going from their deeper parts to the top. For further details, see Schick et al. (1982a, b).
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Cosentino zyxwvuts
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The geometry of this preliminary structural model was
obtained using a larger dataset (1973-1985) than the
previous ones which gave rise to a distribution function of
the dominant frequencies observed in the tremor spectra
that was compared with periodic visual observations of the
various volcanic activities which have occurred at the
summit craters.
The aim of this paper is to analyse seismic signals
(tremors and earthquakes) in the frame of the eruptive
phenomena which have occurred on the volcano from 1977
to 1986, in order to look for significant changes in these
parameters which could be useful for eruptive activity
forecasting and in order to define a model explaining the
dynamical processes observed.
2 ANALYSIS OF DATA
A set of about 1500 amplitude spectra of volcanic tremor
has been analysed. Spectra are derived from the tremor
signals recorded at station MVT-SLN. For the time interval
1977-1983, the tremor signal was sampled before and during
the main eruptive episodes; while from 1984 up to now, a
daily sampling has been performed. In Fig. 1, the position of
the MVT-SLN station is represented together with the
location of the lava Rows related to the main eruptive
episodes which occurred in the considered period.
The recording station is equipped with a vertical
seismometer having a free period of 1s. The conditioned
signal is transmitted by telemetric links to the data
processing centre in Catania, where it is processed on-line
through a spectrum analyser.
The analyser converts the analogue signal into a digital
one using a sampling rate 2.56 times the upper limit
frequency range. A FFT is performed using zyxwvuts
400 spectral
lines in the frequency range 0-20Hz with a resolution of
0.05Hz.
The length of the analysed time series varies from 25 to.
40min and the number of independent spectra averaged in
this time interval, in order to obtain the final spectrum, is
not less than 64.The use of long time intervals is important
in order to enhance the stability in the spectral analysis of a
stationary random signal and to reduce the influence of
spurious effects. This allows us to obtain a statistical
amplitude error E = 1/(2*) = 1/(2<w x 100 not greater
than 6.25 per cent where, following Randall (1977), B is the
bandwidth, T is the time length and N is the number of
independent spectra averaged.
In order to observe possible time changes of seismic data
collected, the relative amplitude of each frequency peak
(a1Hz) shown in the spectra was evaluated and the first
three dominant peaks were plotted versus time in a set of
diagrams (Figs 3-9), together with the number of shocks per
day and the overall rms amplitude of each spectrum
expressed in m v ( a ) - ' .
The daily number of shocks has been computed at the
same recording station taking into account all seismic events
recorded, namely explosionquakes and earthquakes, which
on Mt Etna usually do not exceed magnitude 4.5.
Most of the dominant frequencies observed in the spectra
of etnean volcanic tremor range between 1.0 and 2.3Hz.
The stability of this frequency range has been observed for a
number of years as shown by the frequency distribution
curve obtained by Cosentino el zyxw
01. (1989b). Trends of
relatively higher frequencies (2.3-5.0 Hz) are occasionally
observed. Following this rough subdivision, the mean value
(f) and the standard deviation (a)of these two trends have
been calculated (Table 1). The length of the considered time
intervals is affected by the lack of continuity in the data
gathered. The continuity of information increases from 1977
up to now, due to the development of research into etnean
volcanic tremor.
In Fig. 3 the above-described parameters are plotted
versus time in the period 1977 January-December. During
this period, 14 small subterminal eruptions, lasting from a
few hours to a couple of days, took place from the NE
crater of the volcano (Cosentino 1982). Each of these
eruptions was characterized by a sudden increase in
strombolian activity, with lava fountains and moderate lava
outbursts. As can be observed (Fig. 3b), no particular
seismic activity took place in connection with such eruptive
events. Dominant peaks (Fig. 3c) are distributed in the
range 1.OO-2.25, typically associated with resonance
phenomena of the dykes forming the feeding system of the
upper part of the volcano (Cosentino et al. 1986). Such low
frequency values are present in the spectra throughout the
period considered, while a trend at relatively higher
frequency (2.35-3.55 Hz) appears for shorter time intervals
(see Table 1). Both the observed frequency trends are
rather dispersed (a= 0.31-0.26) and no significant changes
can be detected in relation to the eruptive activities.
The eruptive episodes are marked only by a sharp
enhancement of the tremor amplitude values (Fig. 3a) which
occurs almost contemporaneously with the onset of each
eruptive event.
During 1981 March, a flank eruption took place on the
northern slopes of Mt Etna. Data available concern the
period 1981 March-October (Fig. 4). The pattern of
dominant frequencies (Fig. 4c) shows a clear trend with
relatively high values (2.35-5.20 Hz) from the beginning of
March to 2 days before the onset of the eruption. The lack
of lower frequencies is observed in connection with the
existence of this trend. Low frequencies become dominant
in the tremor spectra when high frequencies disappear, and
this phenomenon precedes the onset of the Rank eruption by
almost 48 hr.
Such a 'down shift' of the values of dominant peaks
towards lower frequencies (from 3.3 to 1.5Hz) occurs in
connection with both a swarm of earthquakes (about 30 hr
before the opening of the eruptive fractures) and a sharp
increment in the tremor amplitude values (Fig. 4a and b).
After this episode, no particular changes were observed
either in the daily number of shocks or in the tremor
amplitude and dominant frequency peaks.
Similar characteristics can be observed in relation to the
1983 28 March Rank eruption. In Fig. 5, the daily values of
the volcanic tremor amplitude, the number of shocks per
day and the trends of the dominant peaks are plotted in the
period 1983 January-July. In this case also, there is
evidence of a down-shift of the dominant peaks which
occurs in relation to an increment in the tremor amplitude
and a seismic crisis, preceding the onset of the flank
eruption by 24-48 hr.
It is worth noting that the frequency trends preceding the
onset of the eruptive episode are clearly defined, giving a
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5. Internal dynamical process on Mt Etna zy
371 zy
Table 1
.
Frequency Average Standard Number of
Time range frequency deviation data points
Interval (H4 zyxwvu
V) zyxw
(4 zyx
(n zyxw
1
1977
January 21-December 31
1977
August 10-December 31
1981
March 4-October 25
1981
March 4-March 15
1981
March 24-October 25
1983
January 1-July 10
1983
January 1-March 26
1983
1984 January 2-
1986 December 20
1984
October 16-November 9
1985
February23-March 6
1985
October 21-December 19
1986
May 29-August 18
1986
October 3-October 29
April 7-July 10
low-frequency trend
high-frequency trend
low-frequency trend
high-frequency trend
high-frequency trend
low-frequency trend
high-frequency trend
high-frequency trend
low-frequency trend
high-frequency trend
high-frequency trend
high-frequency trend
high-frequency trend
high-frequency trend
1.00-2.25
2.35-3.55
1.w2.30
2.35-5.20
2.45-4.45
1.15-2.30
2.35-3.25
2.35-4.60
1.00-2.30
2.60-4.55
2.9
2.80-3.25
2.90-3.25
2.60-3.15
1.62
2.71
1.51
3.32
2.79
1.70
2.89
3.06
1.56
3.14
2.90
3.04
2.90
2.80
0.31
0.26
0.29
0.53
0.41
0.33
0.24
0.60
0.28
0.59
0.00
0.15
0.10
0.14
329
35
162
29
54
365
61
65
2287
9
6
65
39
3
0
low dispersion (a=0.24) and showing a tendency to migrate
towards higher values. Soon after the frequency down-shift,
the trends at lower values appear quite stable in time; while
trends at higher frequency no longer exist or appear highly
dispersed zyxwvutsrq
(u= 0.6).
During 1984, a subterminal eruption took place from the
SE crater of Mt Etna. The plot of the parameters described
above (Fig. 6) in this case shows neither any change in the
frequency of the dominant peaks, nor a significant variation
of the level of seismicity. As with the 1977 subterminal
eruptions, the beginning of this one seems to be marked
only by the enhancement of the volcanic tremor amplitude.
In the time interval preceding the SE crater eruption, no
particular trend is built up by the higher frequencies.
It is interesting to observe that this eruption lasted for
several months and came to an end in 1984 October in
connection with the occurrence of a swarm of earthquakes.
This seismic crisis is not accompanied by any significant
change either in the values of the tremor amplitude or in the
trends of the dominant peaks. Contrary to other swarms,
which preceded the opening of eruptive fractures, these
shocks showed a greater average focal depth (Cosentino et
nl. 1986, 1989a). It is also worth noting that the trends of
dominant peaks in the tremor spectra are particularly stable
throughout the eruptive period, and peaks at values of 1.30,
1.45 and 1.75Hz can be easily detected from July to
October (Figs 6 and 7).
The end of 1984 and the beginning of 1985 are
characterized by moderate explosive activity at the summit
craters, so that the tremor amplitude values are relatively
high (Fig. 7).
On 1985 March 8, a new eruptive episode took place on
Mt Etna. This eruption started with an increase in explosive
activity and a small lava flow from the SE crater. Soon after,
it evolved to a flank eruption with output of lava from a
system of fractures belonging to the same fracture field of
the 1983eruption (see Fig. 1). No significant changes either
in the tremor amplitude values or the number of shocks can
be observed. A small trend at relatively high frequency
(2.9 Hz),which disappears before the onset of the eruption,
is observed.
The more complex character of this eruption, with respect
to the 1981 and 1983 flank eruptions, seems to be
represented by the time distribution of the dominant peaks.
In fact, it is evident that the short trend at 2.9Hz, in this
case, appears together with the trends of dominant peaks
existing at the usual lower frequencies (1.0-2.3 Hz). The
lack of a seismic crisis could be interpreted as a consequence
of the coincidence of the eruptive fracture system for both
this eruption and that in 1983.
Trends of dominant peaks are very clearly defined on the
plotted time interval and during the period 1985
April-September. In particular, three subtrends at fre-
quencies 1.20, 1.45 and 1.75 Hz,respectively, can be easily
detected (Figs 7 and 8).
Figure 8 shows that dominant peaks at relatively high
values start to appear in the spectra of volcanic tremor from
1985 September 25, and from October 21 they build up a
very clear trend (2.80-3.25 Hz) showing u = 0.15.
The daily number of shocks (Fig. 8b) is quite small and
does not change significantly, while a moderate increase in
the tremor amplitude (Fig. 8a) is observed in relation to the
Occurrence of higher frequencies in the tremor spectra.
A down-shift of dominant frequencies occurs on 1985
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7. 60. zyxwvutsrqponm
N
5 zyxwvut
40
4
a zy
I68
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55145
8.1
b
4
4.
3.5
3-
2.5. zyxwvutsrqponmlk
.'. zyxwv
. m
.
. . * . ..
.. zyxwv
' 8 . .. 9 . . .
Flgnre 8. Amplitude of volcanic tremor (a), number of shocks per day (b) and time distribution of dominant peaks observed in the tremor
spectra (c) during the period 1985 August-1986 March. See Fig. 4 for explanation of the symbols.
8. 374 zyxwvutsr
M. zyxwvutsrq
Cosentino zyxwvutsr
et al. zyxwvutsrq
December 19, followed soon after by a sharp increment in
the tremor amplitude as well as an increase in the daily
number of shocks. These variations in the plotted
parameters precede the opening of the fractures related to
the eruption which took place in the Valle del Bove (see
Fig. 1) on 1985December 25.
From the end of the eruption to 1986 June (Figs 8 and 9)
only the usual low frequencies, associated with resonance of
the main feeding dykes of the volcano, can be detected in
the plot of spectral dominant peaks (a zyxwvutsr
= 0.28). As for the
other parameters investigated, the values of the tremor
amplitude are quite low, while a swarm of earthquakes
occurred on 1986 May 7. Shocks belonging to this seismic
crisis, as well as those which occurred in 1984, are located at
a relatively high average depth (h >5 km) and no particular
changes in the other plotted parameters can be detected.
In Fig. 9 it can be observed that two trends at relatively.
high frequency values (2.6-2.9 Hz) are present among
dominant spectral peaks, for short time intervals, together
with the usual lower values.
The first trend at 2.9Hz appears in the period 1986 May
29-August 18. It is not coincident in time with other
significant changes in the parameters plotted, except for a
progressive increase in tremor amplitude which occurs at the
same time as strombolian activity observed at all the summit
craters.
The second trend (2.60-3.15 Hz) appears in the period
1986 October 3-29. It is preceded by the occurrence of a
rather deep (h >5 km) swarm of earthquakes. Moreover,
the down-shift of dominant frequencies takes place at the
same time as both the enhancement of tremor amplitude
and a shallow seismic crisis which precedes, by a few hours,
the opening of fractures linked to the flank eruption in the
Valle del Bove (Fig. 1).
3 DISCUSSION AND CONCLUSIONS
Seismic activity on Mt Etna is characterized by earthquakes
having a minimum detectable magnitude of 2.0, but which
can reach values of 4.5. The seismicity is randomly
distributed both in time and space during periods of reduced
activity existing between two successive eruptions, while it
shows a tendency to cluster in various sectors of the volcano
and to have an average shallow depth (h s 5 km) during
swarms of earthquakes which precede the opening of
eruptive fractures (Cosentino & Lombard0 1984; Cosentino
et al. 1989a).
Following the model used so far, volcanic tremor is
interpreted as due to turbulence in the flow of piromagma
which excites the ducts of the volcano. The frequencies
observed in the spectrum represent the eigenfrequencies of
different dykes which are excited by the rapid movement of
the magma and its pressure fluctuations (Seidl, Schick &
Riuscetti 1981; Kirbani 1983).
Figure 10 shows some examples of volcanic tremor spectra
and the corresponding time series, obtained during different
stages of volcanic activity. It is interesting to observe that
the spectra obtained during the quiet periods and those
obtained during summit eruptions show a similar frequency
content, and a sharp amplitude enhancement marks the
eruptive stage. On the contrary, dominant frequencies,
which usually range in the interval 1.0-2.3 Hz, move
towards higher values in the pre-eruptive periods of flank
eruptions and shift again towards the usual lower values
shortly before the eruption onset.
The results of the analysis of tremor data, recorded on Mt
Etna since 1977, are summarized in Fig. 11, where two main
frequency ranges are shown: a trend of spectral dominant
peaks, stable in time, which ranges in the interval
1.0-2.3 Hz; and a trend at relatively high frequencies
(>2.3 Hz) which appears from time to time in the tremor
spectra. The higher frequencies (>2.3 Hz) can be related to
shallow and/or small secondary dykes, while relatively low
frequencies (1.0-2.3 Hz) are linked to big and deep dykes
interpreted as the main ducts of the volcano feeding system
(Cosentino et al. 1989b).
Following these considerations, an attempt has been made
to put the seismic characteristics and eruptive events
observed so far on the volcano into the framework of a
preliminary dynamical model.
Mount Etna shows permanent activity at its four summit
craters (Fig. 1). Many classifications have been proposed for
the different volcanic activities, but according to our data,
from a seismological point of view, two main eruptive
phenomena can be distinguished:
(i) summit eruptions, which take place from the main
vents, characterized by strombolian activity and/or lava
flows;
(ii) flank eruptions, which take place from fractures
opening in the slopes of the volcano.
The onset of a summit eruption (terminal or subterminal)
is not accompanied by any significant change (Fig. 11) either
in the dominant peaks of the tremor spectra or in the
seismic pattern. The sudden increment in explosive activity
and the paroxysmal stage, typical of summit eruptions, is
marked only by the sharp enhancement of the tremor
amplitude (Figs 3, 6 and 9). Therefore, summit eruptions
can be modelled in two stages (Fig. 12).
The first stage represents the standard conditions of
volcanic activity during ‘quiet’ periods. Magma partially fills
the main ducts without any particular turbulence. This can
be deduced from the spectra of the volcanic tremor which
show a low energy content and a small amplitude of the
spectral peaks typically associated with resonance in the
main feeding ducts (see Fig. 2). A low daily occurrence
frequency of earthquakes which take place randomly both
in time and space, is observed.
Stage two is characterized by a sudden and violent
increase in magma turbulence. This causes a sharp
enhancement of the rms spectral amplitude and a significant
increase in the amplitude of each dominant peak existing in
the frequency band (1.0-2.3 Hz) associated with the main
feeding ducts. No particular changes are observed in the
rate of seismicity. All summit eruptions which have occurred
on Mt Etna since 1977 show such phenomena (Fig. 11).
Laboratory experiments (Schick, personal communica-
tion) have demonstrated that it is possible to simulate a
summit eruption by simply heating a fluid (liquid and solid)
until turbulence starts and gas bubbles reach a dimension
comparable to the size of the pipe of the laboratory sample
bulb. The same result (a sudden extrusion of the overheated
fluid) can be obtained using a sample bulb having a top pipe
whose section can be toughened to a critical size. Thus, the
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9. Internal dynamical process zyx
on Mt E m zy
375
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. I .
0 . 0 0
"
c
0 . 0 2 . zyxwvutsrqpon
L I N rnca tr(. I 1 0
- 7 0 7
,"V
0 L O
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0 . 0 2 s L I N rncolr(.: * C
Flgme 10. Examples of seismograms and corresponding spectra of volcanic tremor recorded during different stages of activity. (a) Quiet
period, (b) summit eruption (1977 December), (c) pre-eruptiveperiod (before the flank eruption of 1983 March) and (d) flank eruption (1983
March).
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10. 376 zyxwvutsr
M. zyxwvutsrq
Cosentino zyxwvuts
et zyxwvutsrq
al. zyxwvutsr
t 1.40Hz
A (rnV rm
A(rnVrrnr
Figure U.Sketch model explaining the mechanism of the summit eruptions and corresponding changes in the volcanic tremor spectra. zy
eruptive mechanism of the summit eruptions seems to be
linked to changes in the thermodynamic equilibrium or the
geometrical constraints of the feeding system.
eruptions imply that it is not possible, using the parameters
investigated so far, to discover any significant precursor as
there is no time delay between the increase in tremor
amplitude and the beginning of eruptive activity.
Since 1977, five flank eruptions have occurred on Mt Etna
The characteristics observed for the etnean summit (1981, 1983, 1985 March and December, 1986). Before each
of these eruptions, clear trends at high frequency (>2.3 H
z
)
have been observed in the spectral dominant peaks of the
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11. Internal dynamical process on Mt Etna zy
377 z
W. zyxwvutsrqpon
Sketch model explaining the mechanism of the flank eruptions and correspondingchanges in the volcanic tremor spectra.
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12. 378 zyxwvutsr
M. zyxwvutsrq
Cosentino zyxwvuts
et al. zyxwvutsrq
volcanic tremor (Fig. 11). These frequency trends shift
towards lower values (1.0-2.3Hz) some hours (from 6 to
48 hr) before the opening of the eruptive fractures. The
down-shift is almost contemporaneous with the occurrence
of both earthquake swarms and a sharp enhancement of the
tremor amplitude (Figs 4, 5, 7, 8 and 9).
Observations of high frequencies in the tremor signal,
shifting towards lower values, are not common in the
literature. Sassa (1936) describes a shift of the mean period
of volcanic tremor towards high values occurring almost at
the same time as an increase in the tremor amplitude which
is linked to the increment of eruptive activity on Aso
volcano. Preliminary observations concerning changes in the
frequency content of volcanic tremor on Mt Etna have been
described for the 1983 flank eruption (Cosentino zyxwvut
et al.
1984). The lack of several data available in that period did
not allow us to set this phenomenon into a wider context.
The systematic occurrence of this phenomenon in relation
to all studied flank eruptions (Fig. 11) leads the authors to
propose a preliminary interpretative model for flank
eruptions as well as for summit eruptions.
According to the seismic data, three different stages can
be recognized in the dynamical processes taking place in the
volcano before the occurrence of flank eruptions (Fig. 13).
Stage one is similar to that of summit eruptions; in other
words, it represents the standard conditions of volcanic
activity during the so-called ‘quiet’ periods.
Stage two is an intermediate stage characterized by
possible feeding of magma from below and by fracturation
processes and/or partial intrusion of magma into the
shallower parts of the volcano. As a consequence of these
phenomena, high-frequency trends (<2.3 Hz) are observed.
In the model adopted for etnean volcanic tremor, they may
be associated with resonance of small and/or shallow dykes
filled with magma. Seismic activity occurs randomly during
this time interval and it could be related to intrusion
phenomena. Occasionally, swarms of earthquakes having a
greater than average depth (h zyxwvutsrq
>5 km) have been observed
to precede in time the high-frequency trends (Fig. 11). Such
phenomena, which can be assumed to be linked to the
recharging of the volanic system (Cosentino & Lombardo
1984), characterize an unstable condition of the volcano.
This unstable stage can go backwards to quiet conditions
(stage one) without changes in the other parameters, or it
can evolve to stage three when a seismic crisis takes place on
the volcano (Fig. 11).
Stage three is connected with an intense fracturation due
to both the modifications of the physical properties of the
rocks because of the magma intruded and to the local and
regional stress field acting on the volcano. This process,
similar to a feed-back mechanism, implies that the fractures
can reach the surface producing the output of lava so that a
flank eruption will start. The dominant peaks observed in
the spectra shift towards lower frequencies as turbulence
and then resonance become predominant in the main
feeding dykes. Thus, the spectra show both a sharp increase
in the rms spectral amplitude and an increment in the
amplitude of each dominant peak in the usual low-frequency
band.
All flank eruptions which have occurred on Mt Etna since
1981 (Fig. 11) show such characteristics except for the 1985
March flank eruption which, as previously described, took
place without any seismic crisis.
A tight time dependence between flank eruptions and
both summit eruptions and earthquake swarms was also
obtained, using a statistical approach, by Sharp, Lombardo
& Davis (1981). Both summit eruptions and earthquake
swarms were in fact found to precede, in a statistically
significant way, the occurrence of flank activities.
Therefore the fracture process linked to the seismic crises
seems to be the trigger for flank eruptions. Volcanic activity
is evident a few hours (6-48 hr) after modification of the
equilibrium of the system has taken place. This implies that
every time a simultaneous variation of all three parameters
is observed, the opening of eruptive fractures follows soon
after. Therefore, a short-term precursor can be recognized.
It seems reasonable that the time interval between the
variation of seismic parameters and the onset of the
eruption is a function of the ‘weakness’ of the volcanic
sector influenced by the stress increment. It has in fact been
observed that the duration of the precursor phenomena is
quite small (few hours) for all the eruptions which took
place on the eastern flank of Mt Etna, where a calderic area
exists. On the other hand, the flank eruptions on the
northern and southern slopes of the volcano (1981 and 1983,
respectively) show that the precursor phenomena preceded
the opening of the eruptive fractures by 24-48 hr.
It is important to note that the occurrence of a seismic
crisis is not necessarily a precursor of flank activity (e.g. the
swarm of 1984October). In this case, the crisis occurrence is
not coincident with the ‘down-shift’ of dominant fre-
quencies, and this should imply that the critical stage, when
fractures intersect the surface, has not yet been reached.
Although the proposed model is somewhat speculative, it
is founded both upon quite a large set of instrumental
seismic data and a tight correlation with visual observations.
It is the opinion of the authors that this approach appears
to be a promising one for the understanding of the dynamic
processes taking place on Mt Etna. Of course, as the
reliability of a model is a function of the number of
parameters simultaneously investigated, significant improve-
ment could be reached by the comparison with data
concerning ground deformations and source parameters of
earthquakes.
ACKNOWLEDGMENTS
The authors thank Dr S. Falsaperla for useful discussions
and advice and Professor R. Scarpa for critical reading of
the manuscript.
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