№1 (2019)

   Application of GIS technologies

«Metallogeny» geoportal.
Tkachev A.V., Bulov S.V., Chesalova E.I.

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The «Metallogeny» geoportal is a key element of a spatial data infrastructure node being created in Vernadsky’s SGM RAS. Currently, the geoportal provides an organized access to a metadata catalog, interactive cartographic application, web-applications «World’s Largest mineral Deposits» and «Metallogenic Zonning of the Precambrian» and web-services related to them. Some supporting materials and explanatory information are also included in this structure. The geoportal is freely available. It is designed for a wide range of users: scientists, practicing geologists, graduate students, students and any other specialists using GIS technologies in the analysis of geological, but especially metallogenic information. The geoportal provides opportunities for any user not only to use the resources already placed on it, but also to publish their own spatial metadata, data and geoservices. This ensures their effective search and makes all of them much more accessible to a wide circle of interested specialists all over the world.

Digital regional hydrobiological geoservice.
Lubsanova E.L. 

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In this article describes the maintenance of stages creation geoservice on the basis developed method geoinformation mapping water organisms during the subglacial period for system regional hydrobiological monitoring surface water. The geoservice with digital raster and vector maps of plankton, benthos, evaluation of pollution water by hydrobiological indicators for use at interdepartmental interaction, situational centers and opportunity visualization spatial data at browsers of portable devices among users in global network is presented.

 Modeling geo objects and geo-processes

Wavelet analysis as a means of maximum extraction of useful information.
Cheremisina E.N., Nikitin A.A. 

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The article discusses the possibility of maximum extraction of useful information in the processing of geophysical fields, including complex interpretation. For this purpose, on the one hand, the wavelet transform method is used, and on the other hand, the forward geophysical problems are calculated.

3D density crustal modeling for the South-Eastern Fennoscandian shield with a help of GIS INTEGRO.
Pimanova N.N., Spiridonov V.A., Sharov N.V., Mizin S.V. 

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The method to construct the 3D density model included the reduction of the deep boundaries’ effect on the observed gravityl field and the calculation of the 3D effective density distribution from the residual field. The deep surfaces were built on the seismic data of DSS and CCP profiles available for the area under study. These surfaces formed the basis of the geometry of the 3D five-layer density model with a constant density on the top of the layer and gradient density changing with the depth. For the reduced field the inverse gravity problem has been solved and the distribution of the effective density in the earth’s crust has been obtained. A number of equivalent 3D distributions of effective density depending on the chosen inversion parameters have been constructed. The choice of a specific composition was based on the comparison of the obtained density distribution with seismic models on the DSS profiles. The resulting 3D density model has been obtained as a sum of the 3D gradient model from the deep boundaries and the 3D model of the effective density distribution.The analysis of the obtained 3D density model has allowed to make a number of conclusions on the deep crustal and upper mantle structure of the southeastern part of the Fennoscandian shield.

Surface interpolation of heavy metal contents in the soil by machine learning methods.
Buevich A.G., Moskaleva A.S., Kosachenko A.I., Shichkin A.V., Sergeev A.P. 

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The paper presents a comparison of modern approaches to the interpolation of the spatial distribution of the chemical elements in the upper soil layer by the example of heavy metals chromium (Cr) and copper (Cu). Spots with an abnormally high Cr content were found on the examined area. Copper, on the contrary, was distributed evenly. The study is based on the data from soil screening in Tarko-Sale, Russia. For the prediction were selected models based on artificial neural networks (multilayer perceptron (MLP)), random forest (RF) algorithms, and the hybrid method in which MLP is used as a classifier (tree) (RMLPF). Models have been implemented in MATLAB. Approaches involving artificial neural networks (MLP and RMLPF) turned out to be more precise for abnormally distributed Cr. Models based on the RF algorithm are more precise for uniformly distributed Cu. In general, the proposed RMLPF model is showed the best results.

Peculiar features of calculation of seismic effects in a specialized program NERA.
Kaurkin M.D., Romanov V.V. 

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With the release of the new regulatory documentation, the NERA program has officially acquired the status of an instrument for simulating soil-column reactions for the expected seismic impact. In the article some peculiar features of carrying out calculations of seismic influences are considered. It is shown that the initial dependence of the shear modulus G and the damping coefficient ξ on the shear strain γ, applied in the program for clay soils, does not fully characterize this type of rocks. The obtained results of calculations indicate the necessity of using a greater number of dependencies for a correct description of the seismogeological section


Geoinformation supplying and mapping of protection of administrative-territorial subjects from natural disasters.
Kuzmin S.B. 

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The article presents the author’s methodology for assessing the protection of administrative-territorial subjects from natural disasters in the conduct of economic activities to control of natural and natural-technogenic emergency situations. The analysis was carried out for the countries of the world, the federal districts of Russia and the constituent entities of the Russian Federation as part of the Siberian Federal District. Good and verifiable results have been obtained that can contribute to ensuring the safety of the population with macroeconomic planning for the sustainable development of the countries of the world, geopolitical subjects, large regions.