1. The document analyzes seismic wave attenuation in the Koyna region of India by estimating quality factors (Q) for P, S, and coda waves using different methods.
2. Q values generally increase with frequency and show lateral variation likely due to heterogeneities. Q estimates indicate scattering is an important factor in body wave attenuation.
3. Comparison to other regions shows Koyna's coda wave attenuation is similar to active areas, while P wave attenuation is like more stable shields. Distance dependence of Q also suggests deeper scattering affects nearer recordings more.
У рамках програми «Підвищення кваліфікації фахівців нафтогазової галузі України для міжнародного співробітництва та роботи у західних компаніях», за підтримки компанії «Shell» 6 березня в аудиторії ВНЗ «Інститут Тутковського» відбулися курси підвищення кваліфікації на тему «Від побудови сейсмічних зображень до інверсії».
У рамках програми «Підвищення кваліфікації фахівців нафтогазової галузі України для міжнародного співробітництва та роботи у західних компаніях», за підтримки компанії «Shell» 6 березня в аудиторії ВНЗ «Інститут Тутковського» відбулися курси підвищення кваліфікації на тему «Від побудови сейсмічних зображень до інверсії».
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The Brazilian mining tragedy was an eye-opener for the mining fraternity to introspect on the existing tailing management processes, identify gaps, complete hazard identification and risk assessments, and modify or develop safe operating procedures and emergency preparedness plans in line with the guidelines issued by Statutory Authorities from time to time. This is necessary to avert the occurrence of similar incidents in the future.
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In the present investigation, an attempt has been made to elucidate the sedimentary facies and depositional environment of tertiary succession of Changki valley comprising of Barail Group, Changki Formation and Tipam Sandstone Formation.
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To enhance the signal-Noise ratio different techniques are used to remove the noises.
Types of Seismic Filtering:
1- Frequency Filtering.
2- Inverse Filtering (Deconvolution).
3- Velocity Filtering.
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A Model For Internal Dynamical Processes On Mt Etna
case study seminar
1. Attenuation of P, S , and Coda
waves
Under the guidance of: Presented by:
Dr. Dinesh Kumar Charu Kamra
(Professor) GP-05
Department of Geophysics M.tech.VI sem
2. This seminar of case study is based on the paper
published in J.Seismol,2007
Attenuation of P, S , and Coda waves in Koyna
region , India
Babita Sharma* ,S.S. Teotia,Dinesh Kumar
*Institute of Seismological Research ,Gandhinagar, India
Department of Geophysics,Kurukshetra University,Kurukshetra,136119,India
*E-mail:babita_s@rediffmail.com
3. CONTENTS
1.Seismic waves
2. Attenuation of Seismic waves
3. Estimation of Q-factor
4.Methodology
a) Coda normalization method
b) Single back-scattering model
5.Data used
6.Results & Discussions
7.Conclusions
4. Seismic waves
Figure1 : An example of the P, S, and coda wave portion , seismograms recorded on 11/9/96 at
the WRN station
5. Attenuation of seismic waves
• Decay of amplitude of seismic waves with distance
Seismic attenuation is usually considered to be a combination
of two mechanisms :
• Intrinsic absorption
• Scattering
• This type of attenuation of seismic waves is described by
quantity called Quality factor ‘Q’ which express the decay of
wave amplitude during its propagation in the medium.
6. Estimation of Q-factor
• The extended coda normalization method is used to estimate
the quality factors for P-waves (Qα) and S-waves (Qβ)(Yoshimoto
et al. (1993) )
• The single back-scattering model is used to determine the
quality factor for coda-waves(Qc) (Aki and Chouet (1975))
• The objective is to understand the attenuation characteristics of
the Koyna region of the Indian shield using different parts of
the seismograms.
7. Methodology
Coda normalization method
• The spectral amplitude of the coda waves,(Aki 1980)
Ac(f,tc)=Ss(f) P(f,tc) G(f) I(f) …………………………….(1)
Where ‘f’ is the frequency,
‘tc’ is the lapse time,
‘Ss’ is the source spectral amplitude of S waves,
‘P(f,tc)’ is the coda excitation factor,
‘G(f)’ is the site amplification factor,
and ‘I(f)’ is the instrumental response
• The spectral amplitude of the direct S- wave,(Yoshimoto et al. 1993):
As(f,r)=Rϴ𝟇 Ss(f) r-γ exp(-πfr/Qβ(f)Vs) G(f,ψ) I(f)………….(2)
Where ‘R ϴ𝟇 is the source radiation patttern
‘γ’ denotes the geometrical exponent
‘Qβ(f)’ is the quality factor of S waves
‘Vs ‘is the average S wave velocity
and ‘ψ’ is the incident angle of S waves
8. • On dividing Eq.2 by 1,taking logarithm and simplifying ,we get(Yoshimoto et al. 1993):
ln [Rϴ𝟇
-1As(f,r) rγ /Ac(f,tc)]=(-πfr/Qβ(f)Vs)+ln[G(f,ψ)/G(f)]+const(f)…….(3)
ln [As(f,r) rγ /Ac(f,tc)]r+∆r=(-πfr/Qβ(f)Vs)+const(f)…………….(4)
Where ln [As(f,r) rγ /Ac(f,tc)]r+∆r represents the average for a hypocentral distance range r+ ∆ r.
[ Contribution of R ϴ𝟇 disappears in Eq. (3) by averaging over many different focal plane solutions ,
and the ratio G(f,ψ)/G(f) becomes independent of ψ by averaging over many earthquakes.]
Quality factor for S-waves can be obtained from linear regression of
ln [As(f,r) rγ /Ac(f,tc)]r+∆r versus r by means of a least square method.
Earthquakes within a magnitude range have the same spectral ratio of P-to S-wave radiation within a
narrow frequency region
Ac(f,tc) α Ss(f) α Sp(f) …………………………………(5)
=> ln [Ap(f,r) rγ /Ac(f,tc)]r+∆r=(-πfr/Qα(f)Vp)+const(f)………………………….(6)
Where Ap(f,r) is the spectral amplitude of direct P-wave and Vp is the average P wave velocity
Quality factor for P-waves can be obtained from linear regression of ln [Ap(f,r) rγ /Ac(f,tc)]r+∆r
versus r by means of a least square method.
9. 2.Single back-scattering model
• The coda amplitudes, Ac(f,t) in a seismogram can be expressed for a central
frequency ‘f’ over a narrow band width signal, as a function of lapse time T,
measured from the origin time of the seismic event , as(Aki 1975):
Ac(f,T)=A0(f) t-a exp (- π fT/Qc) …………………..………………….(7)
Where ‘A0(f)’ represents the coda source factor that is considered a constant ,
‘a’ is the geometrical spreading factor and taken as 1 for body waves
And ‘Qc’ is the apparent quality factor of coda waves representing the
attenuation in the medium.
Eq.7 can be simplified as:
Ln(Ac(f,T)T)= lnA0(f)- (π f/Qc)T ………………………………………(8)
Eq.8 is the equation of straight line with slope -π f/Qc, from which Qc can be
estimated
10. Data used
• The events recorded on five stations have been used for present analysis .
11. Table 2 Hypocentral parameters of
the events considered in the present
study (taken by the help of NGRI)
All events are recorded digitally on
four to seven stations , using short
period three component seismometer
(1hz) at the sampling rate of 50
samples/s
12. Results and discussions
1. The seismograms have been filtered using Butterworth bandpass filter with
five different frequency bands. The low cut-off, high cut-off, and central
frequencies of these bands are given in Table 3.
13. Figure 2. An example of the P, S, and coda wave portion and filtered seismograms recorded on 11/9/96 at the
WRN station (CF central frequency)
14. 2. A root mean square technique is applied on these filtered seismograms, giving rms
amplitude of S,P, and coda waves . These amplitudes are used to compute the
quality factors Qα,Qβ,Qc
• Plots of Quantity ln(As/Ac)r) and ln(Ap/Ac)r) versus r along the least square fitted
lines at five sites are shown in fig.3 and slopes are used to estimate Qβand Qα using
the relation:
Q=-πf/(slope)*V
Mean values of Qα and Qβ at different frequencies for five stations are given in table 4
15. Fig.3 Coda normalized
peak amplitude decay of
S& P waves with
hypocentral distance at
five central frequencies.
The fitted lines of one
standard deviation (s.d.)
are also shown at station
CKL
16. 3. Qc has been estimated using backscattering Model. Plots of Quantity ln(Ac(f,t)t) with lapse
time t along with the least square –fitted line at five sites are plotted and slope are used to
estimate Qc using the relation:
Qc=- πf/(slope)
•Mean values of Qc at different frequencies for five stations are given in table.5.
17. Fig 4. An example to estimate
Qc at KTL for the event
recorded on 17/11/96
18. 4. We note from the tables that the estimated Q values increase with increase in
frequency. The average value of
Qα varies from 81 at 1.5 Hz to 1248 at 18 Hz &
Qβ and Qc varies from 102 and 150 at 1.5 Hz and 1776 and 2831 at 18 Hz
The increase in Q values with increase in frequency indicates the frequency dependent
nature of Q in the region
Q=Q0fn
19. • The fitting of power law gives the frequency dependent relations for the
region as
Qα =(59±1 )f(1.04±04),
Qβ = (71±1)f(1.32±.08)
and Qc =(117 ± 2)f (0.97±.07)
Fig. 5 Estimated average Q
values as a function of
frequency for P, S, and coda
waves, and the corresponding
fitting of power law
Qβ<Qc for frequency below 4 Hz
Qβ>Qc for frequency greater than 4
Hz(due to multiple scattering
effects)
20. 5. Estimated Q values show lateral variation in the region. This variation in Q values
may be attributed to:
• The heterogeneities present in the region
• Difference in the distances of the events from the recording stations.
21. 6. For the coda-Q analysis, the value of Q0 varies from 47 to 200 and that of n
varies from 0.70 to 1.10 for the active regions, including the
Parkfield,Friuli(Italy) and Garhwal Himalaya (India) , regions of the world.
In figure 6.the Qc values obtained in the present study have been compared
with those estimated for different regions of the world.Attenuation
characterstics of coda waves in the Koyna Region are close to Active regions,
like Italy, Gharwal Himalya, South Spain, Turkey,and south central Alaska of
the world
Fig 6 .Comparison of Q(f ) for coda waves of
the Koyna region obtained in this study (solid
line, Q( f )=117f 0.97) with those of other
regions of the world (dash lines). Line 1
Parkfield, line 2 Friuli, Italy, line 3 South
Iberia, line 4 Garhwal Himalaya, line 5 South
Spain,line 6 West Anatolia, Turkey, line 7
Central Italy, line 8 South Central Alaska,
22. 7 . Rate of increase of Q(f) for P waves in the Koyna region is similar with those of
other regions like Kanto region and South Eastern Korea,
The rate of increase of Q(f) for S waves is comparable with other regions of the
world
Fig 7. a Comparison of Q( f ) for P waves of the Koyna region obtained in this study (solid line) with those of other regions of the
world (dashed lines). Line 1 Central South Korea, line 2 Kanto, Japan, line 3 Baltic Shield, line 4 South Eastern Korea, line 5
France,
b Comparison of Q( f ) for S waves of the Koyna region obtained in this study (solid line), with those of other regions of the world
(dashed lines). Line 1 Central South Korea, line 2 Kanto, Japan,line 3 Baltic Shield, line 4 South Eastern Korea, line 5 Northern
Italy, line 6 Central Itlay, line 7 South Central Alaska
23. 8. Low Q values for the distances less than 40 km, while high Q estimates were obtained
from the events at distances between 200 and 1,000 km .The waves penetrate to deeper
parts of the crust when propagating longer distances therefore the dependence of
attenuation on distance is expected
(Dinesh et al. (2005)) have shown the distance dependence of Q for himalyan
earthquakes. The effect of scattering due to heterogeneities present at lower depths is
more on the waves recorded at smaller distances
9. Results obtained after study:
• Qβ/Qα <1 for fluid saturated rock matrices (Toksoz et al. 1979)
• Qβ/Qα >1 for dry rocks,(Jhonson et al. 1979)
Qβ/Qα >1 for most kinds of scattering(Sato 1984)
Here in this study
Qβ/Qα >1
Scattering is an important factor contributing to the attenuation of body waves in
the region .
24. Conclusions
• Attenuation characterstics of Koyna Region of the Indian shield
using the different parts of the seismograms
• The ratio Qβ/Qα >1 in present analysis.Therefore scattering is
an important factor contributing to attenuation of the body
• Comparison of Qβ and Qc obtained in present analysis shows
that Qβ<Qc for frequencies <4 Hz and Qβ>Qc for frequencies
>4 Hz this may be due to multiple scattering effects of the
medium
• The attenuation parameters obtained in this study are useful for
estimation of source parameters and near –source simulation of
earthquake ground motions in the region.
• The effect of scattering due to heterogeneities present at lower
depths is more on the waves recorded at smaller distances