Gahalaut Et Al Reservoir Triggered Seismicity
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Transcript of Gahalaut Et Al Reservoir Triggered Seismicity
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A new case of reservoir triggered seismicity: Govind Ballav Pant
reservoir (Rihand dam), central India
Kalpna Gahalaut a , V.K. Gahalaut a,⁎, M.R. Pandey b
a National Geophysical Research Institute, Uppal Road, Hyderabad 500 007, India
b Department of Mines and Geology, Lainchur, Kathmandu, Nepal
Received 21 November 2006; received in revised form 27 March 2007; accepted 9 April 2007
Available online 14 April 2007
Abstract
We report here that seismicity near Govind Ballav Pant reservoir is strongly influenced by the reservoir operations. It is the
second largest reservoir in India, which is built on Rihand river in the failed rift region of central India. Most of the earthquakes
occurred during the high water stand in the reservoir with a time lag of about 1 month. We use the concept of coulomb stress
change and use Green's function based approach to estimate stresses and pore pressure due to the reservoir load. We find that the
reservoir increases coulomb stress on the nearby faults of the region that are favourably oriented for failure in predominantly
reverse slip manner under the NNE–SSW compression and thus promotes failure. The above two factors make it an obvious, yet so
far unreported case of reservoir triggered seismicity.
© 2007 Elsevier B.V. All rights reserved.
Keywords: Reserior triggered seismicity; Coulomb stress; Rihand reservoir; Peninsular India
1. Introduction
Increases in the frequency of occurrence of earthquakes
due to man's engineering activities have resulted from the
reservoir impoundment, quarrying and mining, and fluid
injection and extraction (McGarr and Simpson, 1997).
However, earthquakes caused by reservoir impoundment are stronger than by any other engineering activities. So far
globally about hundred sites of Reservoir Triggered
Seismicity (RTS) have been reported which include at
least eight sites from India, namely, Koyna, Warna, Bhatsa,
Dhamni, Gandipet, Idukki, Mula and Sriramsagar (Gupta,
2002). According to the mechanism of RTS, reservoir load
and/or induced pore pressure due to reservoir operations is
the cause of triggering of earthquakes on critically stressed
pre-existing faults in the vicinity of the reservoirs
(Simpson, 1986; Gupta, 1992; McGarr and Simpson,
1997). In this article, we report a new case of RTS
associated with the Govind Ballav Pant reservoir, central
India (Fig. 1). The reservoir is located on the Rihand river,
a tributary of Son river, India. The 92 m high Rihand damwas built in 1962 and the reservoir is the second largest
reservoir in India occupying an area of about 45×15 km2
having a maximum storage capacity of 10.6 km3, and a
capacity of electric power generation of 300 MW.
In this article, we analyse the correlation between the
times of high water levels in the reservoir and occurrence
of the maximum number of earthquakes, and simulate
the effect of the reservoir on the nearby earthquake
causative faults to verify that these earthquakes were
triggered by the reservoir.
Tectonophysics 439 (2007) 171–178
www.elsevier.com/locate/tecto
⁎ Corresponding author.
E-mail address: [email protected] (V.K. Gahalaut).
0040-1951/$ - see front matter © 2007 Elsevier B.V. All rights reserved.doi:10.1016/j.tecto.2007.04.003
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2. Tectonics and earthquakes of the region
The reservoir is located in a failed rift zone, which is
known as the Narmada–Son–Tapti failed rift zone. The
ENE–WSW trending failed rift zone transects the Indian
peninsular shield area into northern and southern blocks(Fig. 1). It is seismically the most active region of the
peninsular India, which evolved during the Archean and
Proterozoic period (Mahadevan and Subbarao, 1999).
Many prominent faults have been mapped in the region
but the faults bounding the failed rift zone to the south
are suggested to be active and have witnessed reac-
tivation till quaternary period. Most of the earthquake
activity is also suggested to be associated with the
southern faults (Rao et al., 2002). The reservoir lies
close to and south of Son– Narmada South fault. Nu-
merous NW–
SE and NE–
SW trending small neotec-tonic faults have also been mapped in the vicinity of the
reservoir (GSI, 2000), however, sense of motion on
these faults is not known (Fig. 1).
In past 100 years only one major earthquake, namely
the June 2, 1927, Son Valley earthquake ( M 6 1/2;
Gutenberg and Richter, 1954, p.207), has occurred
within 100 km of the reservoir (Chandra, 1977). Threeestimates of epicentre are available (Fig. 1) and suggest
variation in the estimate of up to 100 km. The earth-
quake is assumed to have occurred in the lower crust of
failed rift regions of Narmada Son and Tapti, similar to
the March 14, 1938 Satpura ( M ∼6 1/4 Gutenberg and
Richter, 1954) and May 21, 1997 Jabalpur earthquakes
(Singh et al., 1999; Rao et al., 2002; Gahalaut et al.,
2004). The rupture of the recent 1997 Jabalpur
earthquake (Mw 5.8), which occurred about 300 km
WSW of the reservoir, is suggested to lie in the downdip
parts of the Son–
Narmada South fault. Focal mechan-isms of this (Singh et al., 1999) and 1970 Broach
Fig. 1. Broad tectonic features of the part of the failed rift region of Narmada–Son and Tapti over a smooth topographic map. Three estimates of
epicentre of 1927 Son Valley earthquake ( M s 6.5), by Gutenberg and Richter (1954), ISC and USGS, are also shown. Stars denote earthquakes
reported in the ISC and IMD catalogues during 1984–2004 ( M ≥3) while small circles denote epicentres by DMG during Jan. 1997–Dec. 1999
( M ≤3). Bold arrows show the direction of maximum compression due to plate movement (Gowd et al., 1992). Dark brown colour faults, marked as
F 1, F 2 and F 3 and the Son Narmada South fault are the neotectonic faults (GSI, 2000). The 1970 Broach and 1997 Jabalpur earthquakes are shown inthe inset. Inset also shows the Indian and Nepalese national seismological networks.
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earthquake, Mw 5.4, (Chung, 1993), which occurred at
the western extreme of the failed rift zone (Fig. 1),
suggest predominance of the compressive regime. Since
1984, about sixty small magnitude ( M ≤3) earthquakes
have been reported in the vicinity of the reservoir by the
national network (Fig. 1) of India MeteorologicalDepartment (IMD) and International Seismological
Centre (ISC). Prior to 1984, there is no documentary
evidence of earthquake occurrence in the region. How-
ever, it does not imply that such earthquakes did not
occur prior to 1984 and after the impoundment of the
reservoir in 1962. Probably they were missed due to
absence of nearby seismic stations. Incidentally, the year
1984 approximately coincides with the period of world-
wide strengthening of seismological network. However,
from earthquake catalogues, it appears certain that no
strong or even moderate magnitude earthquake hasoccurred in the region since the reservoir impoundment.
Department of Mines and Geology, Kathmandu, Nepal
(DMG), which operates a 17 station network across Nepal
(Fig. 1), about 400 km north of the reservoir, has reported
numerous small magnitude ( M ≤3) earthquakes from the
study region. These earthquakes cluster close to the
reservoir (Fig. 1). The data from January 1997 to
December 1999 only are available to us. Epicentres of
these earthquakes as reported by IMD, ISC and DMG,
coincide within 10–15 km in a tight cluster around the
reservoir, though their focal depths are unreliable. We
agree that the location of these earthquakes contains error
of about 10–15 km, but it does not change our results and
interpretation in any significant way. Occurrence of earthquakes near the reservoir makes it imperative to
test the hypothesis of RTS.
3. Temporal variation of seismicity
Temporal variation of the earthquakes reported by
DMG that occurred within 30 km from the reservoir, and
the maximum water levels in the reservoir are shown in
Fig. 2. Frequency of earthquake occurrence is the lowest
during June–July in each year and then it increases. The
water level in the reservoir is the minimum during lateMay and then it increases with the onset of monsoon
each year. We discretized the two time series at equal
interval of 1 month and calculated the cross-correlation.
The cross correlation coefficient between the two time
series is 0.71 at an average lag of about a month between
reservoir water level and frequency of earthquake
occurrence. The correlation decreases to 0.67 if we
consider earthquakes within 50 km from the centre of
Fig. 2. Monthly frequency of earthquakesreported by DMG( M ≤3) that occurredwithin30 km fromthe reservoir, the reservoir water levels andthe Cross-
correlation function between the two time series. The correlation is the maximum (0.71) at a time lag of about 1 month. Graph with dashed line shows thetemporal variation of change in stress in wet state, ΔS w, at a point located at a depth of 8 km under the reservoir and the prominent earthquake cluster.
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the reservoir. The diffused earthquake cluster north of
the reservoir may not be correlated with the reservoir
water level variations as the correlation decreases to
0.60 once we include it.
The only limitation here is that the catalogue is of
shorter duration. The IMD and ISC catalogues cannot be
used for such quantitative correlation exercise, as there arenot many events in these catalogues and their complete-
ness may also be doubtful. However, we qualitatively
analysed the temporal variation in the occurrence of these
earthquakes reported by ISC and IMD since 1984. As
reported earlier, in the period from 1984–2004, 59
earthquakes of M N3 occurred in the region. Maximum
number of earthquakes occurred in the months of
December and January, followed by occurrences in the
months of February, March and April (Fig. 3). Earthquake
occurrences are the least in remaining months of the year.
Even this correlation, though qualitative, indicates that majority of the earthquakes occurred in the periods after
high water level was attained in the reservoir. Thus the
good correlation between the water level and earthquakes
(Figs. 2 and 3) suggests that the frequency of earthquake
occurrence is influenced by the annual changes in the
reservoir water levels.
4. Effect of reservoir operation on the earthquake
causative faults
We consider stress changes due to reservoir water
load and the pore pressure. Since most of the earth-
quakes appear to have occurred during the periods of
high water level in the reservoir, first we considered the
effect of reservoir water load alone in earthquake
triggering. In the subsequent analysis we included the
effect of pore pressure also.
4.1. Effect of reservoir water load
Following Chander and Kalpna (2000), we simulated
the load of Rihand reservoir through a series of
rectangular loads. The load was uniform in each
rectangle but its magnitude decreased with distance of
the rectangle upstream from the dam. The maximum
water depth was considered as 90 m at the dam. We used
formulas based on 3d Boussineq solutions (Jaeger and
Cook, 1969, p.281) to compute cumulative values of six
stress tensors. These stress tensors were used to
calculate change in normal (Δσ) and shear (Δτ ) stresson a given fault plane, which were then used to calculate
change in stability in dry state, i.e., without considering
pore pressure, ΔS d, (= Δτ −μΔσ, where μ is the friction
coefficient) due to reservoir load (Jaeger and Cook,
1969; Gough and Gough, 1970; Bock, 1980) on the
considered faults. Positive values of ΔS d suggest
destabilization and promote failure on the considered
planes and vice-versa.
Unfortunately, focal mechanisms of the earthquakes
that occurred close to the reservoir are not available. We
assumed that these earthquakes accompanied similar
motion as was involved during 1997 Jabalpur and 1970
Fig. 3. Average monthly frequency of earthquakes ( M ≥3) in ISC and IMD catalogues during the period 1984–2004 along with the average reservoir
water levels.
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Broach earthquakes. It has been suggested that during
these earthquakes reverse motion occurred on the south
dipping plane (Singh et al., 1999; Gahalaut et al., 2004)
which is consistent with the NE to NNE directed
compressional regime of central and peninsular India
(Gowd et al., 1992). Thus we calculated ΔS d on thesouth dipping fault planes of 1997 Jabalpur (strike, ϕ
61°, dip, δ 64° and rake, λ 74°) and 1970 Broach
earthquake (ϕ 35°, δ 49° and λ 44°) at a depth of 10 km
assuming that all the earthquakes near the reservoir
occurred at shallow depth in the upper crust, as at deeper
depth, reservoir effects will not be very significant. This
is in contrast with the focal depth of 36 km for the 1997
Jabalpur earthquake (Singh et al., 1999), but consistent
with 11 km focal depth for 1970 Broach earthquake
(Chung, 1993). Focal depths of both the earthquakes
were determined from the waveform modeling (Chung,
1993; Singh et al., 1999) and hence appear to be reliable.
Region of increased ΔS d in both cases lie southeast of
the reservoir, whereas the region of earthquake
occurrence lie west of the reservoir. Thus the two did
not correlate in any significant way. Computations of ΔS d even on the north dipping planes did not produce
favourable results. Thus we suggest that the reservoir
load does not destabilize the faults of 1997 Jabalpur or
1970 Broach earthquake type. We even changed the
depth at which ΔS d is calculated but the results and
interpretation do not change in any significant way.
Unfavourable results of the above section prompted
us to search for the faults on which the reservoir effects
were favourable. We considered all the geologically
mapped faults in the vicinity of the reservoir for our
Fig. 4. Stress changes ΔS (in kPa) on the SSW dipping planes (ϕ 120°, δ 70° and λ 120°, corresponding to the plane ‘a’ of the derived fault plane
solution, shown at the top right) are shown. Geologically mapped neotectonic faults having similar orientation ( F 1, F 2 and F 3) are also shown. Red
colour contours indicate the region of destabilization. (a)Δ
S d at 8 km depth with contour interval of 10 kPa. (b)Δ
S d in a vertical section along A–
A′,
contour interval is 5 kPa. (c) ΔS w at 8 km depth (d) ΔS w in a vertical section along B–B′.
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analysis. Throughout our analysis, the sense of motion
on geologically mapped faults is chosen in such a way
so as to be consistent with NNE–SSW compression due
to plate tectonic forces. This is also a condition in the
analysis related to the RTS, as earthquakes will be
triggered only on those faults which are criticallystressed for failure under the ambient stresses (Simpson,
1986; McGarr and Simpson, 1997; Talwani, 1997;
Gupta, 2002). The reservoir acts only as trigger. Thus
under the compressive environment of central and
peninsular India, all the faults present in the region will
either be reverse or strike slip faults, depending upon the
orientation of the faults with respect to the NNE to NE
directed maximum compression (Gowd et al., 1992). We
considered the orientation of the geologically mapped
faults and performed a grid search to estimate the dip
direction, dip amount and slip direction of these faults insuch a way that the reservoir causes destabilization on
these faults in the region of earthquake occurrences. The
computations of ΔS d were done at several depths but
here we show ΔS d at 8 km depth (Fig. 4a), where the
effect of the reservoir load is most pronounced (Fig. 4 b).
We find that WNW–ESE oriented geologically mapped
neotectonic faults (GSI, 2000), shown as F 1, F 2 and F 3in Figs. 1 and 4, with δ of 70°±10° and λ of 120°±10°,
having strike of about N120° are destabilized by the
reservoir load in the region of prominent earthquake
cluster reported by DMG and ISC (Fig. 4). Specifically,
the east –west trending south dipping Son– NarmadaSouth fault, the largest fault in the region, did not
produce destabilization in the region of earthquake
occurrence. It caused destabilization north of it. This was
expected, as a reservoir located in the hanging wall will
stabilize a thrust fault, rather than destabilizing it
(Roeloffs, 1988). The faults F 1, F 2 and F 3 have been
mapped, before reservoir impoundment in 1962, by the
Geological Survey of India (GSI), in their district level
map series (e.g., see geological and tectonic maps of
Sarguja, Koriya, Sidhi and Mirzapur districts published
by GSI) and are shown in Figs. 1 and 4. The derived fault plane solution corresponding to the above plane is also
shown in Fig. 4. In an effort to further strengthen our
analysis, we performed the grid search to identify the
strike along with the dip and rake of the fault and found
that the above estimated planes (ϕ 120°, δ 70° and
λ 120°) are the only fault planes on which the effect of
reservoir is favourable in the region of intense
earthquake activity. We also show an east –west vertical
cross section of ΔS d across the reservoir, in which it is
seen that at all depths, the region west of the reservoir
experiences destabilization due to reservoir load. A
nominal value of 0.65 for μ is assumed in these
calculations. Change in μ by ±0.2 does not alter the
pattern of destabilization in any significant way.
4.2. Effect of pore pressure
We calculate stress changes in wet state, i.e., consid-ering the pore pressure, ΔS w (=Δτ −μ(Δσ−Δ P ), where
Δ P is the pore pressure due to reservoir operations
since its impoundment started in 1961. Change in
normal (Δσ) and shear (Δτ ) stresses due the reservoir
are calculated in the same manner as in the previous
section. Δ P is calculated by solving the following
inhomogeneous diffusion equation,
C j2 P ¼A
AT P
B
3 h
;
where c is the hydraulic diffusivity, B is the Skempton's
coefficient and θ /3 is the mean stress. The value of c,
hydraulic diffusivity constant was considered to be
10 m2/s, by trial and error method, so as to give a time
lag of about 1 month at a point beneath the maximum
seismicity at an assumed depth of 8 km. The adopted
value of c is consistent also with Talwani and Acree's
(1984) estimates derived from seismicity observations
near various reservoirs worldwide. Higher value of c
decreases the time lag and increases the magnitude of
pore pressure, and vice-versa. B varies from 0 to 1, here
it is considered as 0.7 (Talwani et al., 1999). Thesolution of above equation is given by Kalpna and
Chander (2000). Pore pressure due to cyclic loading and
unloading develops gradually in the initial periods (till
1970), but later on, pore pressure, and hence ΔS w,
mimics the pattern of annual cycle of water level
changes in the reservoir with a time lag (Fig. 2).
Considering the lag of 1 month between the water
level and monthly frequency of earthquakes, we
calculated ΔS w on a plane at depth of 8 km, after
1 month of maximum water level in the reservoir. We
repeated the exercise of the previous section to computeΔS w and found that the pattern in the zone of stability did
not change significantly from the previous corres-
ponding cases. Thus even after considering the pore
pressure the region of increased ΔS w corresponding to
the 1997 Jabalpur and 1970 Broach earthquake faults
does not coincide with the region of earthquake
occurrence. However, the results of grid search method
suggested that once again faults with ϕ 120°±10°,
δ 70°±10° and λ 120° ± 10° are destabilized by the
reservoir load and induced pore in the region of prom-
inent earthquake cluster reported by DMG and ISC
(Fig. 4).
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The east –west vertical cross section of ΔS w across
the reservoir (Fig. 4d) suggests that the region west of
the reservoir experiences destabilization due to reservoir
operations at all depths. However, the effect is most
pronounced at about 8 km. The analysis suggests that
consideration of pore pressure not only leads to increasein the magnitude of stress changes (ΔS wNΔS d) on the
considered fault, it also leads to an increase in the region
of destabilization and now the region of destabilization
encompasses the entire region of earthquake activity
near the reservoir.
We computed temporal variation of ΔS w (Fig. 2) at a
point that lies at 8 km depth under the reservoir and
where the increased ΔS w is the maximum (Fig. 4c). It
can be seen that earthquakes do not appear to have
occurred during the low water stand, even though the
effect of water load was to destabilize the fault evenduring that period (Fig. 2). Thus the analysis implies that
the faults in the region are critically stressed for failure
under compressive regime and a small increase in stress
change due to reservoir operation, by about 25 kPa only,
corresponding to an annual increase of water load by
10–15 m (Fig. 2), triggers earthquakes on these faults.
Presence of critically stressed faults is also supported by
the observation that this region is the seismically most
active region of peninsular India.
Thus the above analyses pertaining to the quantita-
tive effect of reservoir operation on the seismogenic
faults suggest that the reservoir operations destabilizethe nearby neotectonic faults.
5. Concluding remarks
Several factors control earthquake triggering by the
reservoir, important of them are, reservoir dimensions;
annual changes in the reservoir water level; ambient
stresses and presence of faults and their orientation with
respect to the ambient stresses, etc. (Simpson, 1986). In
this case the Govind Ballav Pant reservoir on Rihand
river is very large, in fact the second largest in India,having annual water level changes of the order of about
12±2 m, it is situated in a failed rift region of Narmada–
Son–Tapti, which is seismically the most active region in
the peninsular India (Gahalaut et al., 2004) and where
several faults have been mapped (Fig. 1). These factors
make it an ideal site where reservoir may trigger
earthquakes on the nearby faults. A good correlation
between temporal variation of seismicity and reservoir
water levels (Fig. 2) suggest a possible case of reservoir
triggering. Our simulation using a Green's function-
based approach related to stability change on the
earthquake causative neotectonic faults due to reservoir
operation (Fig. 4) supports the view that water level
changes in the reservoir have caused pore pressure
changes at hypocentral depths on the pre-existing faults,
which are favourably oriented, to trigger the earth-
quakes. This makes it a persuasive, yet so far unreported,
case of triggered seismicity due to the reservoir loading.In the region of interest, we have no knowledge about
the earthquake occurrence immediately after the reser-
voir impoundment in 1962 and before 1984, the later
year marks the year of beginning of reliable earthquake
catalogues. But good correlation between earthquakes
during 1984–2004 (for M N3 from ISC and IMD
catalogues) and during 1997–99 (for M b3 from DMG
catalogue) with reservoir water level possibly suggests
that the reservoir triggered earthquakes occurred in this
region after the impoundment and the reservoir
continued to trigger earthquakes even after 40 years of impoundment. Cases of continued seismicity near a
reservoir have been reported from elsewhere as well,
e.g., Koyna–Warna in India (Gupta, 2002); Lake Mead
in USA (Talwani, 1997), Aswan in Egypt (Mekkawi
et al., 2004), Açu in Brazil (do Nascimento et al., 2004)
etc.
Acknowledgements
We are thankful to the Central Electricity Authority
for providing Rihand reservoir water levels, DMG,
Nepal for providing the microseismicity data (acquiredunder DASE, France and DMG collaboration), and R.S.
Dattatrayam and G. Suresh of IMD, New Delhi for
providing the earthquake data. We benefited from the
comments of A. McGarr, Pradeep Talwani, Harsh Gupta,
Kusala Rajendran and two anonymous reviewers. We
thank Director, NGRI, R.K. Chadha and M. Ravi Kumar
for their support.
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