Abstract
This study is concerned with Western and Central Tien-Shan. It is an area of intracontinental collision and is of great interest for the study of the geodynamic processes that are occurring in the crust. The area of study was investigated using the method of seismotectonic deformation (STD). The STD was calculated on the basis of the approaches proposed by Yu.V. Riznichenko and S.L. Yunga. We used the ISC (International Seismological Centre, London) catalog for estimating the seismicity distribution, for calculating the mean annual rate of STD (STD intensity) IΣ, and the parameter of concentration of earthquake-generating ruptures KСР. The catalog includes over 84 000 earthquakes for the period 1902–2019. The distribution of the parameters mentioned above was calculated for three depth ranges: 0–5, 5–25, and over 25 km. We identified areas of intensive seismotectonic deformation, seismic activity, and high concentration of earthquake-generating faults. The study of the entire earthquake-generating layer gave the result that the maximum STD intensity IΣ = ~9 × 10–8 yr–1 was obtained for the junction zone between Southern Tien-Shan and Northern Pamirs. As to the north part of the area of study, high values of STD intensity were obtained for the western Terskey Alatau: IΣ = ~2 × 10–9 yr–1. At all the depths studied here, the maximum rate of earthquakes occurs in the Gissar-Kokshaal earthquake-generating zone. In the northern part, high seismicity is characteristic for the mountain ranges that encircle the Issyk Kul Basin (Terskey Alatau, Kungei Alatau, and Zailiisky Range). The area of study typically exhibits a high level of the concentration of earthquake-generating ruptures, with most of these lying at depths of 0–5 km. Our study of STD directivity is based on data for focal mechanisms of 11 376 earthquakes occurring in 1949–2020. We plotted diagrams showing the distribution of azimuthal directions for the principal stress axes. The azimuth of the compression axis for most events falls within the sector 300°–360°. The resulting STD maps were inspected to determine the directions of shortening and lengthening axes, and to note that the deformation settings show a great diversity in the area of study. The STD tensors obtained for the depths 5–25 km (the earthquake-generating layer) were used to find the distributions of the Lode–Nadai coefficient με, of the sum of the horizontal components (ХХ + YY), and of the vertical component (ZZ). We determined areas that show simple compression and maximum shortening. The models of crustal deformation derived by the STD method and from GPS data were compared to find a fairly good consistency.
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INTRODUCTION
The area of study is a complex-structured, long-evolving fold-and-block mountain edifice. It contains parts of two different major geotectonic areas, viz., an epi-Paleozoic platform and an Alpine geosyncline. The Tien Shan mountain country was created during the endogenous activation of the epi-Paleozoic platform starting at the end of the Oligocene, at the same time with the terminal phase of the closing of the Alpine geosyncline. The main present-day features of Tien Shan were formed during Quaternary time. The activation process was occurring nonuniformly over time and in space. As an example, a quiescence in movements is noted in the Late Pliocene and in the Early Pleistocene, to give way to a new impulse of tectonic activity. The impulse has been continuing until now. This is indicated by the presence of intensive recent movements whose amplitudes reach considerable values, as well as by high seismic activity.
Tien Shan extends for about three thousand kilometers from 65° to 95° E, its broadest part is on the order of 400 km wide. Tien Shan is subdivided into the Western, the Central, the Eastern, and the Dzhungar geologic–geographic provinces. The Western Tien Shan lies west of the Talas–Fergana fault. The Central Tien Shan is between the Talas–Fergana fault in the west and the 80° longitude in the east. The Eastern Tien Shan extends from the 80° longitude in the west to the Jungar (Borohoro) fault in the east. Northeast of the Jungar fault lies the Jungar Tien Shan. The Western and Central Tien Shan mostly lie within the area of Kirgizia. Tien Shan is bounded by the Turanian plate to the north, to the south it is bounded by the Tarim Basin in the east and by the Tajik Depression in the west, which are connected by the Alai valley and the Surhob R. valley.
The region contains many faults that have been active during Late Quaternary time. The Cenozoic folds and faults in Tien Shan are described in numerous publications (Makarov, 1977; Sadybakasov, 1990; Sovremennaya geodinamika …, 2005; Trifonov et al., 2002; Trofimov et al., 1976; Chediya, 1986; Shults, 1948, among others).
The present-day bottom of intermontane basins in Tien Shan (except for the Turfan Basin) lies above sea level and above the adjacent parts of the Kazakhstan Platform. The top of the Paleozoic basement is above sea level in small intermontane basins, while being below sea level in the axial parts of large basins (the Fergana, Alai, Afghan–Tajik, Aksai, Atbash, Naryn, Issyk-Kul, Jumgal, Talas, Chu, and Turfan basins). The basement in the Issyk-Kul and the Naryn basins lies at a depth greater than 3 km, the figure being about 2 km in the Chu Basin and up to 9 km in the Fergana Basin (Fig. 1) (Burtman, 2012).
According to Vinnik (2004), there are two distinct strips of thicker (more than 55 km) crust within Tien Shan separated by an area of shallow Moho (see Fig. 1, inset). The northern strip coincides with the uplifts of the Kirgizsky, Zailiisky Alatau, and Kungei Alatau mountain ranges (see Fig. 1), while the southern strip is that of the uplifts of the Gissar–Alai mountain range system. Apart from these strips which strike in the Tien Shan direction, there are several transverse structural elements. As an example, the Lake Issyk Kul area contains a nearly north–south striking area of thicker crust extending southwards (see Fig. 1, inset).
The Tien Shan epi-platform orogeny is nearly all of it in a zone of VIII–IX intensity seismicity. On the west and north it is bounded by a strip where the seismic effect does not exceed intensity VII. Most epicenters of large (М = 5) earthquakes extend as two earthquake-generating zones, the North Tien Shan zone and the Gissar–Kokshaal (South Tien Shan) zone, which tend, respectively, to the northern and southern parts where the orogen has a contrasting boundary, and which bound it by the Turanian plate and the Kazakh Shield to the north and by the Tarim Platform to the south. The Gissar–Kokshaal zone shows high seismicity in the junction between the Pamirs and Tien Shan (Fig. 2a).
These two zones, which are seismic sutures of the first category, serve as boundaries between major blocks, Turan–Tien-Shan–Tarim. These seismic sutures can generate earthquake magnitudes that are the greatest possible for the crust, М > 8 (Yudakhin and Chediya, 1991). In Fig. 2A we use stars to mark the locations of large earthquakes with M ≥ 5 in Tien Shan, see Table 1 which contains a catalog of large historical earthquakes. The highest density of earthquakes occurs both in the Southern Tien-Shan zone and in the Northern Tien-Shan zone. One can see in this figure that the bulk of large earthquakes makes a strip that includes the northern wall of the Kirgizsky mountain range and the uplift system of the Zailiisky Alatau and Kungei Alatau. Very strong earthquakes have occurred there such as the Belovodsk, Vernyi, Chikik, Kemin, and Kemin-Chu events (see Table 1). The grandest paleo seismic ruptures and M > 8 earthquakes are known to have occurred in the Kungei area, while west and east of it the seismic activity is lower, with the maximum occurring in the internal part of the area.
The geodynamic processes in the area of study as inferred from seismic data were previously studied by Yunga (1990), Trifonov et al. (2002), Kuchai and Bushenkova (2009), Rebetsky and Alekseev (2014), among others. The data analysis in these works was based on the STD method (Riznichenko, 1985; Yunga, 1990) or on the method of cataclastic analysis (MCA) as applied to tectonic discontinuities (Rebetsky, 2007), or else researchers considered the focal mechanisms of moderate and large earthquakes (Kuchai and Bushenkova, 2009). In (Yunga, 1990; Rebetsky and Alekseev, 2014; Kuchai and Bushenkova, 2009), and their area of study is much larger than that considered in the present paper. Trifonov et al. (2002) made a detailed study of STD fields in an area that includes the geological structures of Southern Tien Shan, the Afghan–Tajik Depression, the Pamirs, and North Hindu Kush.
We at the Research Station of the Russian Academy of Sciences (SS RAS) studied the state of stress and strain in the crust of Northern and Central Tien Shan using two methods, STD and MCA. The results were reported in (Sycheva et al., 2005a, 2008; Sycheva and Mansurov, 2016, 2017; Rebetsky et al., 2012, 2016). The accumulation of data on earthquake focal mechanisms allows one to expand the area of study and to refine the results.
Recent movements in the region under study are extensively investigated using GPS technologies. These studies are based on data supplied by the Central Asian (CA) GPS network (the observation sites are both inside and around the region under study). There are well-known works on this area of research (Abdrakhmatov et al., 2001; Reigber et al., 2001; Midi et al., 2001; Zubovich et al., 2001, 2004, 2010; Kostyuk et al., 2010; Zubovich and Mukhamediev, 2010; Kuzikov and Mukhamediev, 2010; Mansurov, 2017, among others). These works report results in the development of strain models for the crust of Tien Shan based on GPS observations.
The presence of several works in the estimation of stress and strain based on seismic and GPS observations indicates a great interest in this area. It would not appear to be a gross exaggeration to say that comparison of crustal seismotectonic deformations with GPS observations is also of considerable interest.
The goal of the present study is to estimate the state of stress and strain in the crust of Western and Central Tien Shan based on data of seismicity and focal mechanisms of earthquakes using the STD method, to present the results using modern approaches to mapping, as well as to compare them with models for the distribution of crustal deformations obtained previously from GPS observations.
THE METHOD
We used the STD method to estimate the state of stress and strain in the area of study. The method is described in many publications (Lukk and Yunga, 1979; Riznichenko, 1985; Yunga, 1990, among others) and remains in use today (Lukk et al., 2015; Sycheva and Mansurov, 2017; Lukk and Shevchenko, 2019, among others). Considering all earthquakes that have occurred in an earth volume V for a time T, the resulting averaged inelastic deformation due to these events can be described by a tensor of the rate of rupture (seismotectonic deformation) \(\left\langle {{{\varepsilon }_{{ij}}}} \right\rangle \) (Yunga, 1990; Riznichenko, 1985):
with the summation being over seismic events indexed by α; N is the number of events. In (1), \(M_{0}^{{({{\alpha }})}}\) is the seismic moment of the earthquake indexed (α), \(m_{{ij}}^{{({{\alpha }})}}\) is the direction tensor of the mechanism, μ is the shear modulus, V is the earth volume studied, and T is the time of study. When the period of time is in years, the tensor \(\left\langle {{{\varepsilon }_{{ij}}}} \right\rangle \) is also referred to as the annual increment of seismotectonic deformation. Yunga (1990) and Lukk and Yunga (1979) proposed approximating (1) by the following expression:
where a scalar characteristic is introduced giving the increment of seismotectonic deformation I∑, which is referred to as STD intensity.
With a view to calculating the directivity of seismotectonic deformation by averaging the initial data, we divided the geostructural area into elementary subareas with a radius which are centered at grid points of a selected grid. The STD is calculated by summing the matrices of individual mechanisms within each elementary subarea. The grid points are chosen in a grid at intervals of 0.2° (~20 km) having the radius of an elementary subarea equal to r = 0.5° (~50 km), which provides for data smoothing. An area of r = 0.5° can also be the potential zone where a large earthquake would occur (its diameter is 100 km). The STD intensity is found by summing scalar seismic moments within each area along the lines of (Lukk and Yunga, 1979). For constructing a map of averaged focal mechanisms, we chose the grid points on a grid at intervals of 0.5° (~50 km) and the radius of an elementary area equal to r = 0.5°. The STD is mapped using a classification of seismotectonic deformation regimes based on parameterization of the regimes via a system of angular parameters to provide for an isometric representation of tensor objects onto a sphere (Yunga, 1990, 1997).
The concentration of earthquake-generating ruptures parameter CEGR has a clear physical meaning, being the ratio of the mean distance between earthquake-generating ruptures that have occurred in a seismic earth volume V0 for a time ΔT, to the mean length of the ruptures (Sobolev and Zavialov, 1980; Zavialov, 2006):
where η = N/V0 is the volumetric density (concentration) of ruptures based on past earthquakes; \({{l}_{{{\text{mean}}}}} = \frac{1}{N}\sum\nolimits_j {{{l}_{j}}} \) is the mean rupture length in an ensemble of cracks; N is the total number of earthquakes in the energy class range [Kmin, Kmax] that have occurred in an elementary seismic volume V0 for a time ΔT; lj is the length of an individual earthquake-generating rupture to be found from the relation
where Kj is the energy class (or magnitude) of an earthquake. Different seismic regions may have different values of the constants a and c.
The experience in using CEGR in several seismic regions worldwide shows that the best choice of the constants is (Riznichenko, 1976): a = 0.244, c = ‒2.266. When using magnitude instead of energy class, one should replace Kj with M in (4), but the constants would then have the following values: a = 0.440, c = –1.289.
The STD intensity, the number of earthquakes, and the concentration of earthquake-generating ruptures were found for each 0.2 × 0.2° grid element in the area of study. The step was 0.1°.
THE DATA SET
The earthquake catalog. We determined the spatial location of seismicity (vertical cross sections), analyzed seismic activity (the number of earthquakes per unit area), and estimated STD intensity using the ISC catalog (International …, 2019), which contains over 84 000 earthquakes that have occurred in 1902–2019 in the area of study (see Fig. 2A). Some characteristics of this catalog are shown in Fig. 2B and listed in Table 2. Magnitudes are assigned to 69 781 earthquakes, with ~86% of all events having their energy characteristics based on body waves (Mb), while depths are known for 71 284 events.
The bulk of the ICS catalog consists of 2 ≤ М ≤ 6 events (see Fig. 2B(a)), which mostly occurred after 2002 (see Fig. 2B(b)) at depths of 0–25 km (see Fig. 2B(e)). According to the Gutenberg–Richter plot (see Fig. 2B(c)), the part of the catalog reported completely includes 3 ≤ M ≤ 7.5 events.
The catalog of focal mechanisms. We based our STD calculations on several data sources relating to earthquake focal mechanisms. Along with the catalogs of focal mechanisms obtained at the SS RAS, we also analyzed catalogs compiled by other organizations. Some of these data were in part used and described in (Sycheva et al., 2005, 2005a, 2008; Kalmetieva et al., 2010; Sycheva and Mansurov, 2017; Sycheva, 2020). Some characteristics of the data sources are presented in Table 3.
Most events in the combined catalog of focal mechanisms (FM, 11 376 earthquakes) are low magnitude earthquakes (1.5 ≤ M ≤ 3.5, Fig. 3A(a)). The earthquakes are not uniform over time, with the more completely reported periods being those from 1978 to 1991 and from 1996 to 2001 (see Fig. 3A(b)). The bulk of the events occurred at depths of 0–25 km (see Fig. 3A(c)).
The epicenter location and mechanism type from the FM catalog are shown in Fig. 3B. The color indicates the data source (see the caption to Fig. 3). The radius of a source model represents the earthquake magnitude.
There is a variety of earthquake mechanisms in the area of study (see Fig. 3B). Krestnikov et al. (1987) in their study of Northern and Central Tien Shan based on geological and seismic data noted a great diversity of earthquake mechanisms in the region as a whole, but three mechanism varieties are dominant. The first of these has its compression axis horizontal and looking northeast, while the tension axis is nearly vertical; this type of source is characterized by reverse faulting combined with equally likely rupture planes striking nearly east–west and nearly north–south. The field in the second type has the tension axis horizontal and looking northeast, while the compression axis dips steeply southeast, which provides evidence of a normal-oblique character of movement with equally likely rupture planes that are oriented as in the first case. The third type of mechanism has both of the axes nearly horizontal, but the compression axis strikes northwest, while the tension axis looks northeast, indicating strike slip movements. The planes of equally likely ruptures are oriented as at the sources of the first two. Now the most general mechanism of earthquake source indicating the most general features in the present-day regional stress field has its compression axis oriented northwest, while the tension axis is nearly vertical during reverse movements at the source. The planes of equally likely ruptures are again oriented nearly north–south and nearly east–west.
THE RESULTS
A qualitative Distribution of Seismicity
Our analysis of the seismicity distribution and STD intensity as functions of depth was based only on those earthquakes from the ISC catalog which had depth of focus and magnitude assigned (56 766 events).
The distribution of seismicity over depth based on the ISC and FM catalogs is shown in integral projections onto the vertical plane. Two cross sections are in the east–west direction and three for north–south. For the east–west direction each area includes 2.5° of latitude and 9° of longitude. For the north–south direction, each area includes 3° of longitude and 5° of latitude. In the integral projections, the earthquake locations from the ISC catalog are marked black and those from the FM catalog are red.
These constructions revealed the fact that earthquakes occur at depths of 0–50 km in the area of study. The lower boundary in the north of the area of study (Fig. 4A(a)) is at a depth of ~35 km (according to Yudakhin (1983), earthquakes occur down to 30 km depth); in the southern part (see Fig. 4A(b)), the lower boundary of seismicity is deeper, 40 km, with some earthquakes even occurring as deep as 50 km or more. Three layers of seismic activity are identified in all the cross sections considered: the first layer includes events with depths between 0 and 5 km (the shallow layer), the second from 5 to 25 km (the active earthquake-generating layer), and the third layer is deeper than 25 km. The bulk of the events are concentrated in the Northern Tien Shan earthquake-generating zone (28 958 events, see Fig. 4A(a)) and in the Southern Tien Shan zone (27 808 events, see Fig. 4A(b)) as noted in the Introduction. The integral projections also showed that the seismicity is concentrated in well-defined vertical structures (see Fig. 4B), which may correspond to the depths of the responsible faults. If we subdivide the area of study into the western, the eastern, and the central part, we can see that the greater part of earthquakes occurred in the central part which includes the Kirgizsky mountain range, an area along the Talas–Fergana fault, and the junction zone between the Southern Tien Shan and the Northern Pamirs (see Fig. 4B(b)).
The Areal Distribution of STD Intensity and Seismicity Rate
In consideration of the abovementioned distribution of seismicity over depth (see Fig. 4), we calculated STD intensity IΣ and seismic activity (the numbers of earthquakes in grid elements) both for the entire seismic layer 0–50 km and for the three depth ranges 0–5, 5–25, and greater than 25 km. Our calculation of these parameters was based on those earthquakes in the ISC catalog which have occurred between 1997 and 2019 (this is the period that is reported with the highest completeness, the rate is over 300 earthquakes per annum, see Fig. 2B(c)). No earthquakes larger than magnitude 6 have occurred in the Northern Tien Shan earthquake-generating zone during the period of interest. The last significant earthquake, the Suusamyr event of August 19, 1992, М = 7.3, took place before that period.
The minimum and maximum values of STD intensity, as well as the relevant areas for each of the depth layers, are listed in Table 4.
The areal distribution of the above characteristics at different depths is shown in Fig. 5: on the left is the logarithm of STD intensity, on the right is the logarithm of the number of earthquakes. All the depth layers show maximum STD intensity for the junction zone between the Southern Tien Shan and the Northern Pamirs (~9 × 10–8 yr–1). The lowest STD rate occurs in the Chu valley, in the western Kirgizsky mountain range, and in the northwestern sides of the Fergana Basin (~3 × 10–13 yr–1). The maximum seismicity rate is also observed in the zone where the Southern Tien Shan is adjacent to the Northern Pamirs and Tarim.
The STD intensity is an order higher at depths of 0–5 km than that for the entire earthquake-generating layer, being 2 × 10–8 yr–1. The maximum seismicity at that depth occurred in the area of the Ak-Shyirak mountain range situated south of the eastern Terskei Alatau mountain range.
In addition to the junction zone between the Southern Tien Shan and the Northern Pamirs mentioned above, one notices at depths of 5–25 km several areas with high values of STD intensity. The Northern Tien Shan earthquake-generating zone has two areas in Terskei Alatau where the level of STD intensity reaches ~2 × 10–9 yr–1 and ~6 × 10–9 yr–1. At the Alai mountain range, the level of STD intensity varies between 4 × 10–9 yr–1 and 5.6 × 10–9 yr–1, while being 4 × 10–9 yr–1 at latitude 41° N in the Talas–Fergana fault zone. At that depth considerable numbers of earthquakes occur in the junction zone between the Southern Tien Shan and the Northern Pamirs, as well as in the sides of the Issyk Kul Basin (Kungei, Terskei Alatau, Zailiisky mountain range) and at the Alai mountain range.
Intensive deformation still occurs at depths over 25 km in the junction zone between the Southern Tien Shan and the Northern Pamirs (2.5 × 10–8 yr–1), with the maximum seismicity being observed there as well.
The Concentration of Earthquake-Generating Ruptures Parameter
Sobolev and Zavialov (1980) and Zavialov (2006) used the parameter in earthquake prediction. The present study uses the parameter, because it can reflect the two preceding characteristics together, since the calculation of the parameter is based both on the number of earthquakes occurring in an earth volume and on earthquake class (or magnitude). Figure 6 shows the distribution of the concentration of earthquake-generating ruptures for all the depths concerned. Blue marks low values of the parameter (see Fig. 6), indicating a high concentration of cracks.
High levels of crack concentration at depths of 0–5 km is typical of the entire zone where the Southern Tien Shan is adjacent to the Northern Pamirs and Tarim, of the sides of the Issyk Kul Basin (Terskei and Kungei Alatau, Zailiisky mountain range), of the eastern Kirgizsky mountain range, of the south sides of the Fergana Basin (the Alai mountain range), and of the area along the Talas–Fergana fault. High levels of crack concentration occur in the same areas at depths of 5–25 km as at depths of 0–5 km, but the areas are much smaller. The parameter is practically not determined in the Northern Tien Shan zone at depths over 25 km, because no earthquakes occur at these depths, except for the easternmost part of the Issyk Kul Basin. High levels of the parameter only remain along the zone where the Southern Tien Shan is adjacent to the Northern Pamirs and to Tarim.
Characteristics of the Principal Stress Axes
The catalog of focal mechanisms contains, along with hypocenter parameters, also characteristics of the principal stress axes: azimuth and plunge; these were used for statistical analysis to reveal some patterns in focal mechanism solutions. Statistical characteristics of the principal stress axes (azimuth and plunge) allow one to determine some patterns in deformation processes. Figure 7A shows diagrams of the azimuth distribution for compression and tension axes, as well as plots with the number of earthquakes versus the plunhe values for these axes.
The compression axes for most earthquakes in the area of study vary in direction from north–northwest to north–northeast, and the tension axes vary their directions between northeast and east. A few of the tension axes also show different directions. The results obtained in this study are in good agreement with previous publications (Yunga, 1990; Kurskeev, 2004; Sycheva et al., 2005, 2008). More than a half (60%) of all compression axes have plunge values reaching 30° (near horizontal directions), while the tension axes have two equally important maxima, 0° and 50°–60°.
The entire area of study was subdivided into six areas (segments), with each including 3° longitude and 2.5° latitude. For each area we constructed diagrams showing the azimuth distribution for compression and tension axes (see Fig. 7B). One can clearly see a change in direction for the compression axes going from east to west, namely, from north to northwest.
The Average Mechanism and STD Regimes
As mentioned above, the calculation for maps of averaged source mechanisms was based on grid points at a step of 0.5°, while the averaged mechanisms in STD calculations were based on grid points at a step of 0.2° between the points, hence the configurations of the points for which we obtained the solutions differ between the two cases. The averaged mechanisms were found for points at which the coefficient κ (kappa, i.e., the intensity of the resulting matrix) exceeds that value from Table 4 (Yunga, 1990, pp. 88–89), where the mode and critical values of the parameter κ are presented corresponding to different cumulative probabilities and sample sizes. In this calculation, the contribution of an earthquake was given by a weight to be found from the relation w = 0.07(M + 6), where М is the earthquake magnitudeFootnote 1.
The maps of averaged mechanisms and STD maps were made for two depth ranges, 0–5 km and 5–25 km (Figs. 8, 9). There were few earthquakes at depths over 25 km in the catalog of focal mechanisms, thus placing a restriction on the study of deeper layers.
Averaged mechanisms of earthquake sources enable us to visualize both the statistics of focal mechanisms as a summary picture of projected P and T axes and the variation in deformation regime from point to point in the area of study. According to Fig. 8a, the data are the most complete for the Issyk Kul Basin and its circumference, for the eastern Kirgizsky mountain range, and for the junction zone between the Southern Tien Shan and the Northern Pamirs, as well as for the area along the Talas–Fergana fault (seismic zones). The shortening axes of average mechanisms have a northeastern direction west of the Talas–Fergana fault and a nearly north–south direction east of it. The reporting of seismicity for the northern part of the Tarim is the lowest, with the data indicating a northeastern direction for the shortening axes.
Figure 9a shows averaged mechanisms for the depth range 5–25 km. One must add the Fergana Basin to the list of areas with complete reporting as indicated for depths of 0–5 km. The directions of shortening axes at these depths are more to the north–northwest when west of the Talas–Fergana fault and toward north and northeast when east of the fault.
The STD map for the shallow layer (0–5 km) is shown in Fig. 8b. The orientation of the STD tensor at each grid element is marked by a symbol that indicates the direction of horizontal strain components and their fraction (part) in the total tensor. An absence of earthquakes in some areas of the shallow layer has limited the number of grid points for which solutions have been derived. As an example, there are practically no solutions for the junction zone between the Southern Tien Shan and Tarim. In the depth range under consideration we observe a diversity of STD regimes; this can be explained by fragmentation and blocky structure of the shallow crustal layer. In addition to the regimes (modes) shown in the right part of the classification scheme for STD regimes (see inset in Fig. 8b, the transitional regime from vertical shear to compression, horizontal compression, transpression, oblique shear, and horizontal shear), some areas in the region of study show modes from the left part (horizontal tension, the transitional regime from vertical shear to tension, and the transitional regime from tension to horizontal shear).
The following regimes are observed for the earthquake-generating layer (5–25 km) (see Fig. 9b): the transitional regime from vertical shear to compression (the west side of the Fergana valley, the junction zone between the Southern Tien Shan and the Northern Pamirs, the piedmont of the western Kirgizsky mountain range); horizontal compression (the east side of the Fergana Basin, the Chatkal Mountains, the Talas, Zailiisky, and Kungei Alatau mountain ranges); transpression (the southern Talas–Fergana fault, the eastern Kirgizsky mountain range, the Kochkor Basin, the Syndyk, Kyzart, and Terskei Alatau mountains, the eastern part of the junction zone between the Southern Tien Shan and the Tarim); horizontal shear regime (the southern Talas–Fergana fault, the Suusamyr Basin, and the central Kirgizsky mountain range, the Chu–Ili mountains).
An analysis of STD modes and the directions of shortening axes in different areas over the region of study for the earthquake-generating layer (5–25 km) is displayed in Table 5. The dark blue in the first column denotes the total deformation of horizontal shortening, light blue indicates the presence of horizontal shear regimes. The text color in the second column corresponds to that of STD regime according to the classification of STD regimes. The third column has the directions of shortening axes marked.
An Analysis of STD Parameters
We examined the various STD parameters for the 5–25-km layer, which generated 7327 earthquakes present in the catalog of focal mechanisms, thus totaling 64% of all events.
The Lode–Nadai coefficient. The distribution of the Lode–Nadai coefficient is shown in Fig. 10A(a). The red color in this figure marks the regime of simple compression (0.6 ≤ με ≤ 1), yellow indicates the regime of pure shear (–0.2 ≤ με ≤ 0.2), the regime of simple tension is marked by blue (–1 ≤ με ≤ –0.6), the dominance of simple compression (compression combined with shear) (0.2 < με < 0.6) by red-yellow tints, and the dominance of simple tension (tension combined with shear) by green tints (–0.6 < με < –0.2). According to the Legend (see Fig. 10A(a), at bottom), the regime of simple compression (0.6 ≤ με ≤ 1) characterizes several areas. One of these includes the eastern Kirgizsky mountain range, the Kochkor Basin and its immediate circumference. The next includes the eastern Terskei Alatau. The junction zone between the Southern Tien Shan and the Northern Pamirs in its central and eastern parts is also characterized by the regime of simple compression. This list terminates in individual areas that are disposed in a fragmentary manner along the Talas–Fergana fault. The regime of simple shear occurs in the territory of the Chu, Issyk Kul, and Suusamyr basins, as well as in the Alai valley. The north side of the Fergana Basin is characterized by simple tension combined with shear (–0.6 < με < –0.2).
The vertical component, which is not displayed visually in STD maps, has positive values everywhere over the area of study, except for the northern Chu Basin (see Fig. 10A(b)), which provides evidence of crustal uplifting nearly everywhere in the area of study.
Comparing the Crustal Deformation Results Based on Seismic and GPS Data
The distribution of the sum of horizontal components in the strain rate tensor (XX + YY, the maximum shortening rate) was derived from seismological data in the limits indicated in (Zubovich and Mukhamediev, 2010), with the distribution of maximum shortening rate being based on GPS observations for the most effective comparison between the results derived by the two methods (see Fig. 10B). One notes that the parameter of interest is inhomogeneous over the area of Tien Shan. Maximum shortening in the horizontal plane is characteristic for the sides of the Issyk Kul Basin (Kungei and Terskei Alatau, as well as the Zailiisky mountain range), for the northeast sides of the Fergana Basin (the Baubashata, East Alai, and Fergana mountain ranges), for the western Chu Basin, as well as for the junction zone between the Southern Tien Shan and Tarim.
Figure 10B(b) presents the map of maximum shortening rate from (Zubovich and Mukhamediev, 2010), who note that the Kazakh Shield north of Tien Shan is nearly free of shortening, while Tien Shan itself shows a rather inhomogeneous E2 field, with stable areas being adjacent to zones of higher shortening rates. Considerable shortening deformation E2 is observed near Lake Issyk Kul where eastern and southwestern zones are clearly seen upon the background of a moderate nearly north–south shortening. Another example of a zone characterized by high shortening rates is the Naryn Basin. One also notes two areas of moderate negative values of E2 in northern Tien Shan. The one lies near Bishkek and is obviously related to the movement on the Issyk–Ata fault.
Comparison of the distribution of maximum shortening based on seismic (see Fig. 10B(a)) and GPS observations (see Fig. 10B(b)) showed fairly good consistency between the results. One also notes that areas that were identified to have maximum shortening based on both seismic and GPS data are characterized by maximum positive values of the vertical component (see Fig. 10A(b)).
The directions of shortening and lengthening axes as obtained from seismic and GPS observations were compared in (Kostyuk et al., 2010; Sycheva and Mansurov, 2016; Sycheva and Mansurov, 2017; Sycheva and Mansurov, 2020). These studies were concerned with Northern Tien Shan, Central Tien Shan, and with the Pamirs and adjacent areas. It was shown that the directions of shortening axes as determined by the two methods, not only are well consistent among themselves, but can also complement each other.
Figure 11 presents the distribution of the crustal strain rate tensor based on GPS data from (Mansurov, 2017) along with the distribution of the generalized plane part of the STD direction tensor for the depth range 5–25 km as derived in the present study. In contrast to STD where the intensity of seismotectonic deformation is found by summing seismic moments, resulting in a distribution of that field, the deformation intensity based on the GPS method is expressed in the lengths of shortening and lengthening axes. Even though the seismic data are used for the depth range 5–25 km, the overall visual inspection reveals a good consistency between the directions and the type of horizontal deformation as derived by the two methods. This consistency may provide evidence that GPS data reflect deformation, not only of the shallow layer, but also of the deformed crust as a whole.
We compared numerically the directions of shortening axes based on GPS and STD data by considering segments where the two fields are present (rectangles, see Fig. 11). For these segments we found the mean azimuths of shortening axes based on GPS and STD data, as well as determining, at each grid point, the difference between the azimuths of shortening axes, and calculating the mean difference for the segment. The results of this calculation are presented in Table 6, while Fig. 11 displays averaged directions of shortening axes for the segment (those marked red are based on GPS data, with blue marking STD observations). The lowest difference between the mean values is 0° (the segment in the right part of the map, see Fig. 11), the highest is 11° (the top segment, see Fig. 11). The difference between the directions of shortening axes may range between 0.1° and 25° at some grid points, with the averaged value of the deviation varying between 6.5° and 11.1°. These results can be related to the peculiar properties of each method, as well as to the quality of the data used. As an example, the maximum difference in the directions of shortening axes is characteristic for the northern piedmont of the Kirgizsky mountain range (the top segment, see Fig. 11). The discrepancy can be explained by the fact that the STD calculation for the area mainly relied on the catalog of focal mechanisms based on the KNET network data with 10 seismic stations, with most mechanisms being based on 7–8 P-wave first motions. As well, the catalog mostly contains low magnitude events, which reflect local deformation regimes, while large events that are mostly used to find regional directions of compression axes have not occurred in the area for the period of interest.
Overall, even though there are appreciable differences in the data for some grid points, the averaged directions of shortening axes based on GPS and STD data are in good agreement (see Fig. 11).
There are grid points in Fig. 11 where the data came from a single one of the two methods. As an example, it was only GPS data which were used to find the directions of shortening and lengthening axes at several grid points in the northwestern Tarim, while on the other hand, it was only by the STD method that the deformation regime was determined for the eastern part of the junction zone between the Southern Tien Shan and Tarim, as well as at the circumference of the Fergana Basin. The results of the numerical comparison presented in Table 6 and in Fig. 11 lead us to conclude that the lack of data on deformation regime for one of the methods can to a certain degree of confidence be supplemented with data of the other method.
CONCLUSIONS
We used seismic data (the ISC catalog with over 84 000 events for 1902–2019) and data on focal mechanisms of earthquakes (11 376 events for 1946 to 2020) to examine the state of crustal stress and strain for Western and Central Tien Shan. Integral projections onto the vertical plane were used to find that earthquakes in the area of study occurred at depths of 0–50 km. The 5–25-km layer shows the highest seismic activity. Some of the earthquakes also occurred in the shallow layer (0–5 km) and at depths greater than 25 km (mostly in the south of the study area). Seismic activity (number of earthquakes), STD intensity, and the concentration of earthquake-generating ruptures were calculated for three depth ranges, 0–5, 5–25, and over 25 km. At all of these depths, the highest STD intensity and the largest numbers of earthquakes occurred in the zone where the Southern Tien Shan is adjacent to the Northern Pamirs and Tarim. Down to 25 km depth in the north of the study area, high values of STD intensity are observed in the western Terskey Alatau and in the eastern Kirgizsky mountain range, high seismic activity occurred in the Northern Tien Shan earthquake-generating zone. At depths of 0–5 km, high levels of the concentration of earthquake-generating ruptures is characteristic for the entire area of study, except for its northwest. At depths of 5–25 km, the areas having high levels of crack concentration are smaller, while at depths greater than 25 km a high level of that parameter only remains along the zone where the Southern Tien Shan is adjacent to the Northern Pamirs and Tarim.
We estimated parameters of the state of stress and strain for the area of study using the STD method. The catalog of focal mechanisms was used to make diagrams showing the directions of the principal stress axes. For most of the earthquakes, the compression axis changes direction from northwestern when west of the Talas–Fergana fault to north–south when east of the fault. Most of the axes are nearly horizontal. Maps of averaged focal mechanisms and STD maps were made for depths of 0–5 km and 5–25 km. The shallow layer shows a great diversity of STD regimes, including as they do, not only compression combined with various levels of strike slip components, but also tension combined with various fractions of the shear component. The earthquake-generating layer (5–25 km) shows compression regimes combined with various levels of the shear component, viz., the transitional regime from vertical shear to compression, horizontal compression, transpression, and horizontal shear. The construction of the distribution of the Lode–Nadai coefficient showed that simple compression involves an area that includes the eastern Kirgizsky mountain range, the Kochkor Basin and its immediate surroundings, the eastern Terskei Alatau, as well as the junction zone between the Southern Tien Shan and the Northern Pamirs in its central and eastern parts, and fragmentary areas along the Talas–Fergana fault. Simple shear is observed in most basins and in the Alai valley, while the Fergana Basin is characterized by tension combined with shear.
Maximum shortening affects the northern circumference of the Issyk Kul Basin (Kungei Alatau and Zailiisky mountain range); the northwest side of the Fergana Basin (the Baubashata, East Alai, and Fergana mountain ranges), and the eastern part of the junction zone between the Southern Tien Shan and Tarim. The entire area of study, except for the northern Chu Basin, experiences uplifting (the ZZ component): the maximum uplifting occurs in the same areas where the maximum change in area has been identified.
The deformation models for the area of study using the STD method and GPS data were compared to show good agreement: the directions of the principal axes in the horizontal part of the tensor are either identical or similar, the deformation regimes over most of the area are identical as well.
Notes
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ACKNOWLEDGMENTS
I am grateful to Artur Mansurov who lent me use his results from the calculation of present-day crustal strain rate tensor based on GPS observations.
Funding
This work was supported in part by a state assignment at the Research Station of the Russian Academy of Sciences, Bishkek (research topics AAAA-A19-119020190064-9 and AAAA-A19-119020190066-3).
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Sycheva, N.A. Crustal Seismotectonic Deformations in Central and Western Tien-Shan. J. Volcanolog. Seismol. 15, 414–434 (2021). https://doi.org/10.1134/S0742046321060105
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DOI: https://doi.org/10.1134/S0742046321060105