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We used the ugr magnitudes of 1437467 F-G type main-sequence stars with metal abundance -2?[Fe/H]?+0.2 dex and estimated radial and vertical metallicity gradients for high Galactic-latitude fields, 50°<b?90° and 0°<l?360°, of the Milky Way Galaxy. The radial metallicity gradient d[Fe/H]/dR=-0.042±0.011 dex kpc?1 estimated for the stars with 1.31<z1.74 kpc is attributed to the thin-disc population. While, the radial gradients evaluated for stars at higher vertical distances are close to zero indicating that the thick disc and halo have not undergone a radial collapse phase at least at high Galactic latitudes. The vertical metallicity gradients estimated for stars with three different Galactic latitudes, 50°<b?65°,65°<b?80° and 80°<b?90° do not show a strong indication for Galactic latitude dependence of our gradients. The thin disc, 0.5<z?2 kpc, with a vertical metallicity gradient dFe/H/dz=-0.308±0.018 dex kpc?1, is dominant only in galactocentric distance interval 6<R?10 kpc, while the thick disc (2<z?5 kpc) could be observed in the intervals 6<R?10 and 10<R?15 kpc with compatible vertical metallicity gradients, i.e. dFe/H/dz=-0.164±0.014 dex kpc?1 and dFe/H/dz=-0.172±0.016 dex kpc?1. Five vertical metallicity gradients are estimated for the halo (z>5 kpc) in three galactocentric distance intervals, 6<R?10,10<R?15 and 15<R?20 kpc. The first one corresponding to the interval 6<R?10 kpc is equal to dFe/H/dz=-0.023±0.006 dex kpc?1, while the others at larger galactocentric distances are close to zero. We derived synthetic vertical metallicity gradients for 2,230,167 stars and compared them with the observed ones. There is a good agreement between the two sets of vertical metallicity gradients for the thin disc, while they are different for the thick disc. For the halo, the conspicuous difference corresponds to the galactocentric distance interval 6<R?10 kpc, while they are compatible at higher galactocentric distance intervals.  相似文献   
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The International Reference Ionosphere (IRI) empirical model provides valuable data for many fields including space and navigation applications. Since the IRI model gives the ionospheric parameters in the altitude range from 50?km to 2000?km, researchers focused on the IRI-PLAS model which is the plasmasphere extension of the IRI model. In this study, Total Electron Content (TEC) prediction performance of the IRI-PLAS model was examined at a global scale using the location of globally distributed 9 IGS stations. Besides the long term (01.01.2015–31.12.2015) behavior of the model, TEC predictions during the equinox and solstice days of 2014–2017 were also tested. IRI-PLAS-TEC values were examined in comparison with GPS-TEC data. Hourly interval of yearly profile exhibits that when the geomagnetic and solar active days are ignored, differences between IRI-PLAS-TEC and GPS-TEC are rather small (~2–3 TECU) at stations in the northern hemisphere, generally ~4–5 TECU level at the southern hemisphere stations and reaching above 10 TECU for few hours. While the IRI-PLAS-TEC generally overestimates the GPS-TEC at southern hemisphere stations during quiet days, the model-derived TEC underestimates GPS-TEC during solar active days. IRI-PLAS-TEC and GPS-TEC values exhibit similar trend for the equinoxes 21 March and 23 September which refer equivalent conditions.  相似文献   
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Besides the classical geodetic methods, GPS (Global Positioning System) based positioning methods are widely used for monitoring crustal, structural, ground etc., deformations in recent years. Currently, two main GPS positioning methods are used: Relative and Precise Point Positioning (PPP) methods. It is crucial to know which amount of displacement can be detected with these two methods in order to inform their usability according to the types of deformation. Therefore, this study conducted to investigate horizontal and vertical displacement monitoring performance and capability of determining the direction of displacements of both methods using a developed displacement simulator apparatus. For this purpose, 20 simulated displacement tests were handled. Besides the 24?h data sets, 12?h, 8?h, 4?h and 2?h subsets were considered to examine the influence of short time spans. Each data sets were processed using GAMIT/GLOBK and GIPSY/OASIS scientific software for relative and PPP applications respectively and derived displacements were compared to the simulated (true) displacements. Then statistical significance test was applied. Results of the experiment show that using 24?h data sets, relative method can determine up to 6.0?mm horizontal displacement and 12.3?mm vertical displacement, while PPP method can detect 8.1?mm and 19.2?mm displacements in horizontal and vertical directions respectively. Minimum detected displacements are found to grow larger as time spans are shortened.  相似文献   
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