13 research outputs found

    Model of strong stationary vortex turbulence in space plasmas

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    Abstract. This paper investigates the macroscopic consequences of nonlinear solitary vortex structures in magnetized space plasmas by developing theoretical model of plasma turbulence. Strongly localized vortex patterns contain trapped particles and, propagating in a medium, excite substantial density fluctuations and thus, intensify the energy, heat and mass transport processes, i.e., such vortices can form strong vortex turbulence. Turbulence is represented as an ensemble of strongly localized (and therefore weakly interacting) vortices. Vortices with various amplitudes are randomly distributed in space (due to collisions). For their description, a statistical approach is applied. It is supposed that a stationary turbulent state is formed by balancing competing effects: spontaneous development of vortices due to nonlinear twisting of the perturbations' fronts, cascading of perturbations into short scales (direct spectral cascade) and collisional or collisionless damping of the perturbations in the short-wave domain. In the inertial range, direct spectral cascade occurs through merging structures via collisions. It is shown that in the magneto-active plasmas, strong turbulence is generally anisotropic Turbulent modes mainly develop in the direction perpendicular to the local magnetic field. It is found that it is the compressibility of the local medium which primarily determines the character of the turbulent spectra: the strong vortex turbulence forms a power spectrum in wave number space. For example, a new spectrum of turbulent fluctuations in kโˆ’8/3 is derived which agrees with available experimental data. Within the framework of the developed model particle diffusion processes are also investigated. It is found that the interaction of structures with each other and particles causes anomalous diffusion in the medium. The effective coefficient of diffusion has a square root dependence on the stationary level of noise

    Impact of the Zonal Flows on the Relative Short-Scale ULF Electromagnetic Waves in the Shear Flow Driven Ionosphere

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    Influence of the large-scale zonal flows and magnetic fields on the relative short-scale ULF electromagnetic waves in the dissipative ionosphere in the presence of a smooth inhomogeneous zonal wind (shear flow) is studied. A broad spectrum of Alfvenic-like electromagnetic ๏ฌ‚uctuations appears from electromagnetic drift turbulence and evidence of the existence of magnetic ๏ฌ‚uctuations in the shear ๏ฌ‚ow region is shown in the experiments. In present work one possible theoretical explanation of the generation of electromagnetic ๏ฌ‚uctuations in DW-ZF systems is given. For shear flows, the operators of the linear problem are non-selfconjugate and therefore the eigenfunctions of the problem are non-normal. The non-normality results in linear transient growth with bursts of the perturbations and the mode coupling, which causes the generation of electromagnetic waves from the drift waveโ€“shear ๏ฌ‚ow system. We show that the transient growth substantially exceeds the growth of the classical dissipative trapped-particle instability of the system. Excitation of electromagnetic ๏ฌ‚uctuations in DW-ZF systems leads to the Attenuation-suppression of the short-scale turbulence

    Changeability of surface ozone concentration in Tbilisi in last 30 year

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    Some results of the statistical analysis of observational data of the average semi-annual and annual values of the surface ozone concentration (SOC) in Tbilisi in the period from 1984 through 2013 are presented. Observational data for 15 hours are given. In the proposed work the analysis of data is carried out with the use of the standard statistical analysis methods of random events and methods of mathematical statistics for the non accidental time-series of observations. The statistical structure of the changeability of the mean annual, half year and monthly values of SOC in Tbilisi for the indicated period of time is investigated. Correlation connection between mean annual, half year and monthly values of SOC is established. The special features of the changeability of average monthly values of SOC on the three ten-year-old periods of time are studied. Trends and random components of time series of mean annual (five order polynomial) and half year (the five order polynomial for cold period and six order polynomial for warm period) values of SOC are eliminate

    Global Weather-Forming ULF Electromagnetic Nonlinear Vortex Stuctures in the Shear Flow Driven Ionosphere Plasma

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    In the present article the dynamics of generation and propagation of These waves are stipulated by spatial inhomogeneous geomagnetic field. The large-scale waves are weakly damped. The waves generate the geomagnetic field from several tens to several hundreds nT and more. It is established, that planetary ULF electromagnetic waves, at their nonlinear interaction with the local shear winds, can self-localize in the form of nonlinear long-lived solitary vortices, moving along the latitude circles westward as well as eastward with velocity, different from phase velocity of corresponding linear waves. The vortex structures transfer the trapped particles of medium and also energy and heat. The nonlinear vortex structures represent can be the structural elements of strong macroturbulence of the ionosphere main drivers of the electromagnetic weather at ionospheric level

    Numerical Investigation of the Upper Biologically Acting Turbulent Layer of the Black Sea

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    As it is known, the Black Sea ecosystem a dramatically changed during the last few decades. Upper mixed layer of the Black Sea, which is biologically active is polluted by many highly toxic substances. They are getting in the Black Sea by inflow of rivers and ground waters. These substances heavily loaded with nutrients containing nitrogen and phosphorus and contaminated with industrial and mining wastes. Anthropogenic eutrophication developed in the Sea a dramatically destroys the marine food chain and living biological organisms. Besides, the oil floods became intensive in last years as sea transportations have significantly increased. It is clear, that the process of transport and evolution of any polluting substance is closely connected to dynamic processes ( circulation, wind-driven turbulence , etc.) Thus the modeling of spreading of the substances with underlying some biochemical transformations are a complex problem, which in turn includes the modeling of marine dynamic processes. In this paper some features of the Black Sea upper mixed layer (UML) are numerically investigated by using 3-D basin-scale model of the Black Sea dynamics (BSM-IG, Tbilisi, Georgia). For this goal this model is functioned with variable coefficients of vertical turbulent eddy viscosity and diffusion (VTV-VTD during) one modelling year. These coefficients as last version of the Pacanovsky -Philande parameterization (PP-P) developed by Bennis are embedded in the model. The Black Sea UML depth variability is estimated by using a well known criteria of temperature Dt-0.2 . Using criteria of temperature the results analysis shows: : On the one hand the mixed layer has physically different configuration and variable depths which is undergoes a significant variability in the inner annual time scale ; on the other hand it is combined to the following results: In wintertime the intense wind-driven turbulence promotes strong mixing. Mixed layer has almost same homogenous structure when above Black sea the strong wind was replaced by weak wind. Besides, it is characterized by the clear tendency to deepen mixed layer depth approach to 26m especially in Georgian water area . In the same time gradient of Richardson numbers at the Sea upper levels varied in the ranges 0 > 1 are in a good agreement according to these strong and weak wind respectively. This result demonstrates that: In wintertime similar alternation of the winds affect and change circulation of the Sea. It in turn in small time does not have the ability to transform the structure of the mixed layer . This result is in direct connection of the thermohaline impact, which plays the additional role to grows UML depth in the Black Sea

    Dynamics of the thirty-year moving average values of the air temperature in Tbilisi and St.-Petersburg with 1851 to 2010 and their extrapolation to 2051-2080.

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    On the basis of 100-years (1907-2006) and 163-years (1850-2012) time-series of observations the analysis of the dynamics of the changeability of the average annual air temperature in Tbilisi and St.- Petersburg was carried out. Prognostic calculations showed that in 2051-2080 the average annual air temperature in Tbilisi is expected 14.0ยฑ0.4 ยบะก (ARIMA) and 14.8ยฑ1.4 ยบะก (EXPERTMODELER) against 13.7 ยบะก in 1981-2010, while in St.-Petersburg - 6.4ยฑ0.4 ยบะก (ARIMA) and 8.6ยฑ4.0 ยบะก (EXPERTMODELER) against 5.8 ยบะก in 1981-2010. The comparative analysis of the indicated results with the obtained earlier prognostic estimations of the air temperature in Tbilisi, St.-Petersburg, and also its mean global values is carried ou

    Tourism climate index in the coastal and mountain locality of Adjara, Georgia

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    The determination of the Tourism Climate Index (TCI) to four coastal and mountain localities of the Adjarian Autonomous Republic (known tourist and health resort region of Georgia) is carried out (Batumi, capital of the Adjarian Autonomous Republic: 9 m a. s. l.; Kobuleti: 3 m a. s. l., distance from Batumi - 23 km along the coast of the Black sea; Khulo: 921 m a. s. l., distance from Batumi - 56 km; Goderdzi: 2025 m a. s. l., distance from Batumi - 73 km ). For the indicated localities the monthly average values of TCI in the period from 1961 through 2010 are calculated. The contrast of TCI values in dependence on area relief is revealed. The special features of the variability of TCI values during this period of time in connection with climate changeability are studied. The most favorable from the point of view of the bioclimatic characteristics of a locality for the development of different forms of tourism periods of the year are determined (Sun & Beach Tourism, Eco Tourism, Birdwatching, Sport Tourism, Rural Tourism, Cruise Tourism, Wine Tourism, Ski & Mountain Resorts, MICE Tourism, Gambling Tourism, etc

    Generation of Zonal Flow and Magnetic Field by Planetary Waves in the Earth's Ionosphere

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    Abstract Possibility of generation of large-scale sheared zonal flow and magnetic field by coupled under the typical ionospheric conditions short-scale planetary low-frequency waves is shown. Propagation of coupled internal-gravity-Alfven, Rossby-Khantadze, Rossby-Alfven-Khantadze and collision-less electron skin depth order drift-Alfven waves is revealed and investigated in detail. To describe the nonlinear interaction of such coupled waves with sheared zonal flow the corresponding nonlinear equations are deduced. The instability mechanism is based on the nonlinear parametric triple interaction of the finite amplitude short-scale planetary waves leading to the inverse energy cascade toward the longer wavelengths. It is shown that under such interaction intense sheared magnetic fields can be generated. Appropriate growth rates are discussed in detail

    แƒ“แƒ˜แƒ“แƒ›แƒแƒกแƒจแƒขแƒแƒ‘แƒ˜แƒแƒœแƒ˜ แƒ–แƒแƒœแƒแƒšแƒฃแƒ แƒ˜ แƒ“แƒ˜แƒœแƒ”แƒ‘แƒ”แƒ‘แƒ˜แƒก แƒ’แƒ”แƒœแƒ”แƒ แƒแƒชแƒ˜แƒ แƒ“แƒแƒ›แƒแƒ’แƒœแƒ˜แƒขแƒ”แƒ‘แƒฃแƒšแƒ˜ แƒ แƒแƒกแƒ‘แƒ˜แƒก แƒขแƒแƒšแƒฆแƒ”แƒ‘แƒ˜แƒ— แƒฌแƒแƒœแƒแƒชแƒ•แƒšแƒ”แƒ‘แƒ˜แƒ—แƒ˜ แƒ“แƒ˜แƒœแƒ”แƒ‘แƒ”แƒ‘แƒ˜แƒ— แƒ›แƒแƒ แƒ—แƒฃแƒš แƒ˜แƒแƒœแƒแƒกแƒคแƒ”แƒ แƒแƒจแƒ˜ แƒ“แƒ˜แƒกแƒ˜แƒžแƒแƒชแƒ˜แƒฃแƒ  แƒ˜แƒแƒœแƒแƒกแƒคแƒ”แƒ แƒแƒจแƒ˜

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    แƒœแƒแƒจแƒ แƒแƒ›แƒ˜ แƒ”แƒซแƒฆแƒ•แƒœแƒ”แƒ‘แƒ แƒ–แƒแƒœแƒแƒšแƒฃแƒ แƒ˜ แƒ“แƒ˜แƒœแƒ”แƒ‘แƒ”แƒ‘แƒ˜แƒก แƒ’แƒ”แƒœแƒ”แƒ แƒแƒชแƒ˜แƒ˜แƒก แƒ—แƒ”แƒแƒ แƒ˜แƒฃแƒšแƒ˜ แƒแƒฆแƒฌแƒ”แƒ แƒ˜แƒก แƒแƒ›แƒแƒชแƒแƒœแƒแƒก แƒฌแƒแƒœแƒแƒชแƒ•แƒšแƒ”แƒ‘แƒ˜แƒ—แƒ˜ แƒ“แƒ˜แƒœแƒ”แƒ‘แƒ”แƒ‘แƒ˜แƒ— แƒ›แƒแƒ แƒ—แƒฃแƒš แƒขแƒฃแƒ แƒ‘แƒฃแƒšแƒ”แƒœแƒขแƒฃแƒ  แƒ˜แƒแƒœแƒแƒกแƒคแƒ”แƒ แƒแƒจแƒ˜. แƒ›แƒ˜แƒฆแƒ”แƒ‘แƒฃแƒšแƒ˜แƒ แƒฉแƒแƒ แƒœแƒ˜-แƒแƒ‘แƒฃแƒฎแƒแƒ•แƒ˜แƒก แƒขแƒ˜แƒžแƒ˜แƒก แƒ’แƒแƒœแƒ–แƒแƒ’แƒแƒ“แƒแƒ”แƒ‘แƒฃแƒšแƒ˜ แƒ’แƒแƒœแƒขแƒแƒšแƒ”แƒ‘แƒ, แƒ แƒแƒ›แƒ”แƒšแƒ˜แƒช แƒแƒฆแƒฌแƒ”แƒ แƒก แƒฎแƒฃแƒ—แƒ˜ แƒ’แƒแƒœแƒกแƒฎแƒ•แƒแƒ•แƒ”แƒ‘แƒฃแƒšแƒ˜ แƒ›แƒแƒกแƒจแƒขแƒแƒ‘แƒ”แƒ‘แƒ˜แƒก แƒ›แƒฅแƒแƒœแƒ” แƒ›แƒแƒ“แƒ”แƒ‘แƒ˜แƒก แƒแƒ แƒแƒฌแƒ แƒคแƒ˜แƒ• แƒฃแƒ แƒ—แƒ˜แƒ”แƒ แƒ—แƒฅแƒ›แƒ”แƒ“แƒ”แƒ‘แƒแƒก: แƒžแƒ˜แƒ แƒ•แƒ”แƒšแƒแƒ“แƒ˜, แƒจแƒ”แƒ“แƒแƒ แƒ”แƒ‘แƒ˜แƒ— แƒ›แƒแƒ™แƒšแƒ”แƒขแƒแƒšแƒฆแƒแƒ•แƒแƒœแƒ˜ แƒฃแƒšแƒขแƒ แƒ แƒ“แƒแƒ‘แƒแƒšแƒ˜ แƒกแƒ˜แƒฎแƒจแƒ˜แƒ แƒ˜แƒก (แƒฃแƒ“แƒก) แƒ“แƒแƒ›แƒแƒ’แƒœแƒ˜แƒขแƒ”แƒ‘แƒฃแƒšแƒ˜ แƒ แƒแƒกแƒ‘แƒ˜แƒก แƒขแƒแƒšแƒฆแƒ˜แƒก, แƒ›แƒ˜แƒกแƒ˜ แƒแƒ แƒ˜ แƒกแƒแƒขแƒ”แƒšแƒ˜แƒขแƒ˜แƒก, แƒ’แƒ แƒซแƒ”แƒšแƒขแƒแƒšแƒฆแƒแƒ•แƒแƒœแƒ˜ แƒ–แƒแƒœแƒแƒšแƒฃแƒ แƒ˜ แƒ“แƒ˜แƒœแƒ”แƒ‘แƒ˜แƒก แƒ“แƒ แƒ“แƒ˜แƒ“แƒ›แƒแƒจแƒขแƒแƒ‘แƒ˜แƒแƒœแƒ˜ แƒคแƒแƒœแƒฃแƒ แƒ˜ แƒฌแƒแƒœแƒแƒชแƒ•แƒšแƒ”แƒ‘แƒ˜แƒ—แƒ˜ แƒ“แƒ˜แƒœแƒ”แƒ‘แƒ˜แƒก (แƒแƒ แƒแƒ”แƒ แƒ—แƒ’แƒ•แƒแƒ แƒแƒ•แƒแƒœแƒ˜ แƒฅแƒแƒ แƒ˜). แƒ’แƒแƒ›แƒแƒ™แƒ•แƒšแƒ”แƒฃแƒšแƒ˜แƒ แƒแƒ แƒแƒฌแƒ แƒคแƒ˜แƒ•แƒ˜ แƒ”แƒคแƒ”แƒฅแƒขแƒ”แƒ‘แƒ˜แƒก (แƒ•แƒ”แƒฅแƒขแƒแƒ แƒฃแƒšแƒ˜, แƒกแƒ™แƒแƒšแƒแƒ แƒฃแƒšแƒ˜) แƒ’แƒแƒ•แƒšแƒ”แƒœแƒ แƒ“แƒ˜แƒ“แƒ›แƒแƒกแƒจแƒขแƒแƒ‘แƒ˜แƒแƒœแƒ˜ แƒ–แƒแƒœแƒแƒšแƒฃแƒ แƒ˜ แƒ“แƒ˜แƒœแƒ”แƒ‘แƒ”แƒ‘แƒ˜แƒก แƒคแƒแƒ แƒ›แƒ˜แƒ แƒ”แƒ‘แƒแƒ–แƒ” แƒกแƒแƒกแƒ แƒฃแƒšแƒ˜ แƒแƒ›แƒžแƒšแƒ˜แƒขแƒฃแƒ“แƒ˜แƒก แƒ“แƒแƒ›แƒแƒ’แƒœแƒ˜แƒขแƒ”แƒ‘แƒฃแƒšแƒ˜ แƒ แƒแƒกแƒ‘แƒ˜แƒก แƒขแƒแƒšแƒฆแƒ”แƒ‘แƒ˜แƒ— แƒ“แƒ˜แƒกแƒ˜แƒžแƒแƒชแƒ˜แƒฃแƒ  แƒ˜แƒแƒœแƒแƒกแƒคแƒ”แƒ แƒแƒจแƒ˜. แƒ’แƒแƒ›แƒแƒงแƒ”แƒœแƒ”แƒ‘แƒฃแƒšแƒ˜แƒ แƒ›แƒแƒ“แƒ˜แƒคแƒ˜แƒชแƒ˜แƒ แƒ”แƒ‘แƒฃแƒšแƒ˜ แƒžแƒแƒ แƒแƒ›แƒ”แƒขแƒ แƒฃแƒšแƒ˜ แƒ›แƒ˜แƒ“แƒ’แƒแƒ›แƒ. แƒจแƒ”แƒจแƒคแƒแƒ—แƒ”แƒ‘แƒแƒ—แƒ แƒแƒ›แƒžแƒšแƒ˜แƒขแƒฃแƒ“แƒ”แƒ‘แƒ˜แƒกแƒแƒ—แƒ•แƒ˜แƒก แƒจแƒ”แƒกแƒแƒ‘แƒแƒ›แƒ˜แƒก แƒ’แƒแƒœแƒขแƒแƒšแƒ”แƒ‘แƒแƒ—แƒ แƒกแƒ˜แƒกแƒขแƒ”แƒ›แƒ˜แƒก แƒ—แƒ”แƒแƒ แƒ˜แƒฃแƒšแƒ˜ แƒแƒœแƒแƒšแƒ˜แƒ–แƒ˜แƒก แƒกแƒแƒคแƒฃแƒซแƒ•แƒ”แƒšแƒ–แƒ” (แƒกแƒแƒ™แƒฃแƒ—แƒแƒ  แƒ แƒ˜แƒชแƒฎแƒ•แƒ”แƒ‘แƒ–แƒ” แƒ’แƒแƒœแƒ–แƒแƒ’แƒแƒ“แƒแƒ”แƒ‘แƒฃแƒšแƒ˜ แƒแƒ›แƒแƒชแƒแƒœแƒ) แƒ’แƒแƒ›แƒแƒ•แƒšแƒ”แƒœแƒ˜แƒšแƒ˜แƒ แƒจแƒ”แƒ“แƒแƒ แƒ”แƒ‘แƒ˜แƒ— แƒ›แƒชแƒ˜แƒ แƒ”แƒ›แƒแƒกแƒจแƒขแƒแƒ‘แƒ˜แƒแƒœแƒ˜ แƒฃแƒ“แƒก แƒ“แƒแƒ›แƒแƒ’แƒœแƒ˜แƒขแƒ”แƒ‘แƒฃแƒšแƒ˜ แƒ แƒแƒกแƒ‘แƒ˜แƒก แƒขแƒแƒšแƒฆแƒ”แƒ‘แƒ˜แƒกแƒ แƒ“แƒ แƒคแƒ˜แƒœแƒฃแƒ แƒ˜ แƒฌแƒแƒœแƒแƒชแƒ•แƒšแƒ”แƒ‘แƒ˜แƒ—แƒ˜ แƒ“แƒ˜แƒœแƒ”แƒ‘แƒ˜แƒก แƒ“แƒ˜แƒ“แƒ›แƒแƒกแƒจแƒขแƒแƒ‘แƒ˜แƒแƒœ แƒ–แƒแƒœแƒแƒšแƒฃแƒ  แƒ“แƒ˜แƒœแƒ”แƒ‘แƒ”แƒ‘แƒจแƒ˜ แƒ”แƒœแƒ”แƒ แƒ’แƒ˜แƒ˜แƒก แƒ’แƒแƒ“แƒแƒฅแƒแƒฉแƒ•แƒ˜แƒก แƒ“แƒ แƒฎแƒฃแƒ—แƒ˜ แƒขแƒแƒšแƒฆแƒ˜แƒกแƒ’แƒแƒœ แƒจแƒ”แƒ›แƒ“แƒ’แƒแƒ แƒ˜ แƒ™แƒแƒšแƒ”แƒฅแƒขแƒ˜แƒฃแƒ แƒ˜ แƒแƒฅแƒขแƒ˜แƒ•แƒแƒ‘แƒ˜แƒก แƒแƒ แƒแƒฌแƒ แƒคแƒ˜แƒ•แƒ˜ แƒแƒ แƒ’แƒแƒœแƒ˜แƒ–แƒแƒชแƒ˜แƒ˜แƒก แƒแƒฎแƒแƒšแƒ˜ แƒ—แƒแƒ•แƒ˜แƒกแƒ”แƒ‘แƒฃแƒ แƒ”แƒ‘แƒ”แƒ‘แƒ˜ แƒ˜แƒแƒœแƒแƒกแƒคแƒ”แƒ แƒฃแƒš แƒ’แƒแƒ แƒ”แƒ›แƒแƒจแƒ˜. แƒ–แƒแƒœแƒแƒšแƒฃแƒ แƒ˜ แƒ“แƒ˜แƒœแƒ”แƒ‘แƒ˜แƒก แƒ’แƒ”แƒœแƒ”แƒ แƒแƒชแƒ˜แƒ แƒ’แƒแƒœแƒžแƒ˜แƒ แƒแƒ‘แƒ”แƒ‘แƒฃแƒšแƒ˜แƒ แƒกแƒแƒกแƒ แƒฃแƒšแƒ˜ แƒแƒ›แƒžแƒšแƒ˜แƒขแƒฃแƒ“แƒ˜แƒก แƒ“แƒแƒ›แƒแƒ’แƒœแƒ˜แƒขแƒ”แƒ‘แƒฃแƒšแƒ˜ แƒฆแƒแƒกแƒ‘แƒ˜แƒก แƒขแƒแƒšแƒฆแƒ˜แƒก แƒ แƒ”แƒ˜แƒœแƒแƒšแƒ“แƒกแƒ˜แƒก แƒซแƒแƒ‘แƒ•แƒ˜แƒ— แƒ“แƒ แƒคแƒแƒœแƒฃแƒ แƒ˜ แƒ“แƒ˜แƒœแƒ”แƒ‘แƒ˜แƒก แƒ–แƒ”แƒ›แƒแƒฅแƒ›แƒ”แƒ“แƒ”แƒ‘แƒ˜

    แƒ’แƒฃแƒš-แƒกแƒ˜แƒกแƒฎแƒšแƒซแƒแƒ แƒฆแƒ•แƒ—แƒ แƒ“แƒแƒแƒ•แƒแƒ“แƒ”แƒ‘แƒ˜แƒ— แƒกแƒ˜แƒ™แƒ•แƒ“แƒ˜แƒšแƒ˜แƒแƒœแƒแƒ‘แƒ˜แƒก แƒงแƒแƒ•แƒ”แƒšแƒ—แƒ•แƒ˜แƒฃแƒ แƒ˜ แƒ•แƒแƒ แƒ˜แƒแƒชแƒ˜แƒ”แƒ‘แƒ˜ แƒ—แƒ‘แƒ˜แƒšแƒ˜แƒกแƒจแƒ˜

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    แƒœแƒแƒจแƒ แƒแƒ›แƒจแƒ˜ แƒฌแƒแƒ แƒ›แƒแƒ“แƒ’แƒ”แƒœแƒ˜แƒšแƒ˜แƒ แƒฅ. แƒ—แƒ‘แƒ˜แƒšแƒ˜แƒกแƒจแƒ˜ แƒ’แƒฃแƒš-แƒกแƒ˜แƒกแƒฎแƒšแƒซแƒแƒ แƒฆแƒ•แƒ—แƒ แƒ“แƒแƒแƒ•แƒแƒ“แƒ”แƒ‘แƒ˜แƒ— แƒกแƒแƒจแƒฃแƒแƒšแƒ แƒงแƒแƒ•แƒ”แƒšแƒ—แƒ•แƒ˜แƒฃแƒ แƒ˜ แƒกแƒ˜แƒ™แƒ•แƒ“แƒ˜แƒšแƒ˜แƒแƒœแƒแƒ‘แƒ˜แƒก แƒกแƒขแƒแƒขแƒ˜แƒกแƒขแƒ˜แƒ™แƒฃแƒ แƒ˜ แƒแƒœแƒแƒšแƒ˜แƒ–แƒ˜แƒก แƒจแƒ”แƒ“แƒ”แƒ’แƒ”แƒ‘แƒ˜ 1980-1992 แƒ“แƒ 2012-2013 แƒฌแƒšแƒ”แƒ‘แƒจแƒ˜. แƒ’แƒแƒœแƒกแƒแƒ–แƒฆแƒ•แƒ แƒฃแƒšแƒ˜แƒ แƒชแƒ•แƒšแƒแƒ“แƒ˜+แƒคแƒแƒœแƒ˜ แƒ“แƒ แƒกแƒ˜แƒ™แƒ•แƒ“แƒ˜แƒšแƒ˜แƒแƒœแƒแƒ‘แƒ˜แƒก แƒ“แƒ แƒแƒ˜แƒ—แƒ˜ แƒ แƒ˜แƒ’แƒ˜แƒก แƒจแƒ”แƒ›แƒ—แƒฎแƒ•แƒ”แƒ•แƒ˜แƒ—แƒ˜ แƒ™แƒแƒ›แƒžแƒแƒœแƒ”แƒœแƒขแƒ”แƒ‘แƒ˜. แƒชแƒ•แƒšแƒแƒ“แƒ˜+แƒคแƒแƒœแƒ˜ แƒ™แƒแƒ›แƒžแƒแƒœแƒ”แƒœแƒขแƒ˜แƒก แƒกแƒแƒจแƒฃแƒแƒšแƒ แƒ›แƒœแƒ˜แƒจแƒ•แƒœแƒ”แƒšแƒแƒ‘แƒ˜แƒก แƒฌแƒ˜แƒšแƒ˜ แƒกแƒ˜แƒ™แƒ•แƒ“แƒ˜แƒšแƒ˜แƒแƒœแƒแƒ‘แƒ˜แƒก แƒ›แƒแƒฉแƒ•แƒ”แƒœแƒ”แƒ‘แƒ”แƒšแƒจแƒ˜ แƒจแƒ”แƒแƒ“แƒ’แƒ”แƒœแƒก 68,4% (1980-1992 แƒฌแƒฌ.) แƒ“แƒ 73,4% (2012-2013 แƒฌแƒฌ.); แƒจแƒ”แƒ›แƒ—แƒฎแƒ•แƒ”แƒ•แƒ˜แƒ—แƒ˜ แƒ™แƒแƒ›แƒžแƒแƒœแƒ”แƒœแƒขแƒ˜แƒก แƒชแƒ•แƒšแƒ˜แƒšแƒ”แƒ‘แƒ แƒ“แƒ แƒ›แƒ˜แƒกแƒ˜ แƒฌแƒ•แƒšแƒ˜แƒšแƒ˜ แƒกแƒ˜แƒ™แƒ•แƒ“แƒ˜แƒšแƒ˜แƒแƒœแƒแƒ‘แƒ˜แƒก แƒ แƒ”แƒแƒšแƒฃแƒ  แƒ›แƒœแƒ˜แƒจแƒ•แƒœแƒ”แƒšแƒแƒ‘แƒแƒจแƒ˜ - 31,6% (1980-1992 แƒฌแƒฌ.), 26,6% (2012-2013 แƒฌแƒฌ.), แƒฐแƒแƒ”แƒ แƒ˜แƒก แƒขแƒ”แƒ›แƒžแƒ”แƒ แƒแƒขแƒฃแƒ แƒ˜แƒก แƒ’แƒแƒ แƒ“แƒ แƒจแƒ”แƒ˜แƒซแƒšแƒ”แƒ‘แƒ แƒ“แƒแƒ›แƒแƒ™แƒ˜แƒ“แƒ”แƒ‘แƒฃแƒšแƒ˜ แƒ˜แƒงแƒแƒก แƒ›แƒ แƒแƒ•แƒแƒš แƒ›แƒ”แƒขแƒ”แƒแƒ แƒแƒšแƒแƒ’แƒ˜แƒฃแƒ , แƒ’แƒ”แƒแƒคแƒ˜แƒ–แƒ˜แƒ™แƒฃแƒ , แƒกแƒแƒชแƒ˜แƒแƒšแƒฃแƒ  แƒ“แƒ แƒกแƒฎแƒ•แƒ แƒคแƒแƒฅแƒขแƒแƒ แƒ–แƒ”. แƒจแƒ”แƒ›แƒแƒ—แƒแƒ•แƒแƒ–แƒ”แƒ‘แƒฃแƒšแƒ˜แƒ แƒ’แƒฃแƒš-แƒกแƒ˜แƒกแƒฎแƒš-แƒซแƒแƒ แƒฆแƒ•แƒ—แƒ แƒ“แƒแƒแƒ•แƒแƒ“แƒ”แƒ‘แƒ˜แƒ— แƒกแƒ˜แƒ™แƒ•แƒ“แƒ˜แƒšแƒ˜แƒแƒœแƒแƒ‘แƒ˜แƒก แƒกแƒ™แƒแƒšแƒ, แƒ แƒแƒ›แƒ”แƒšแƒ˜แƒช แƒจแƒ”แƒ“แƒ’แƒ”แƒ‘แƒ แƒ”แƒฅแƒ•แƒกแƒ˜ แƒ“แƒแƒœแƒ˜แƒกแƒ’แƒแƒœ. แƒฌแƒ”แƒšแƒ˜แƒฌแƒแƒ“แƒ˜แƒก แƒกแƒฎแƒ•แƒแƒ“แƒแƒกแƒฎแƒ•แƒ แƒ—แƒ•แƒ˜แƒกแƒ—แƒ•แƒ˜แƒก แƒกแƒ˜แƒ™แƒ•แƒ“แƒ˜แƒšแƒ˜แƒแƒœแƒแƒ‘แƒ˜แƒก แƒแƒฆแƒœแƒ˜แƒจแƒœแƒฃแƒšแƒ˜ แƒ“แƒแƒœแƒ”แƒ”แƒ‘แƒ˜ แƒ’แƒแƒœแƒกแƒฎแƒ•แƒแƒ•แƒ”แƒ‘แƒฃแƒšแƒ˜
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