109 research outputs found

    ΠžΡΠ½ΠΎΠ²Π°Π½Π½Ρ‹ΠΉ Π½Π° знаниях ΠΏΠΎΠ΄Ρ…ΠΎΠ΄ прогнозирования послСдствий нСфтяных Ρ€Π°Π·Π»ΠΈΠ²ΠΎΠ² Π½Π° ΠΏΠΎΠ²Π΅Ρ€Ρ…Π½ΠΎΡΡ‚ΡŒ Π·Π΅ΠΌΠ»ΠΈ

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    The oil industry carries enormous environmental risks and can cause consequences at different levels: water, air, soil, and, therefore, all living things on our planet. In this regard, forecasting the environmental consequences of oil spill accidents becomes relevant. Moreover, forecasting of oil spill accidents can be used to quickly assess the consequences of an accident that has already occurred, as well as to develop a plan of operational measures to eliminate possible accidents, facilities under construction, associated with the transportation, storage or processing of petroleum products. Consequently, the aim of this paper is to present a knowledge-based approach and its implementing system for forecasting the consequences of an accidental oil spills on the ground and groundwater. The novelty of the proposed approach is that it allows us to forecast the oil spill in a complex and systematic way. It consists of components for modelling geological environment (i.e., geological layers, oil spill form, the oil migration with groundwater), forecasting component for an oil spill and pollution mitigation component. Moreover, the forecasting component is based on experts’ knowledge on oil spill. In addition, the paper presents a general architecture for the implementation of the proposed knowledge-based approach and its implementation into a prototype named SoS-Ground.НСфтяная ΠΏΡ€ΠΎΠΌΡ‹ΡˆΠ»Π΅Π½Π½ΠΎΡΡ‚ΡŒ сопряТСна с ΠΎΠ³Ρ€ΠΎΠΌΠ½Ρ‹ΠΌΠΈ экологичСскими рисками ΠΈ ΠΌΠΎΠΆΠ΅Ρ‚ привСсти к послСдствиям Π½Π° самых Ρ€Π°Π·Π½Ρ‹Ρ… уровнях. Π­Ρ‚ΠΎ ΠΈΠΌΠ΅Π΅Ρ‚ ΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΠ΅ ΠΊΠ°ΠΊ ΠΊ Π²ΠΎΠ΄Π΅, Π²ΠΎΠ·Π΄ΡƒΡ…Ρƒ, ΠΏΠΎΡ‡Π²Π΅, Ρ‚Π°ΠΊ ΠΈ ΠΊΠΎ всСм ΠΆΠΈΠ²Ρ‹ΠΌ сущСствам Π½Π° нашСй ΠΏΠ»Π°Π½Π΅Ρ‚Π΅. Π’ этой связи ΠΏΡ€ΠΎΠ³Π½ΠΎΠ·ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ экологичСских послСдствий ΠΏΡ€ΠΈ Π°Π²Π°Ρ€ΠΈΠΉΠ½Ρ‹Ρ… Ρ€Π°Π·Π»ΠΈΠ²Π°Ρ… Π½Π΅Ρ„Ρ‚ΠΈ являСтся вСсьма Π°ΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½Ρ‹ΠΌ. ΠšΡ€ΠΎΠΌΠ΅ Ρ‚ΠΎΠ³ΠΎ, ΠΏΡ€ΠΎΠ³Π½ΠΎΠ·ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅ Π°Π²Π°Ρ€ΠΈΠΉΠ½Ρ‹Ρ… Ρ€Π°Π·Π»ΠΈΠ²ΠΎΠ² Π½Π΅Ρ„Ρ‚ΠΈ ΠΌΠΎΠΆΠ΅Ρ‚ Π±Ρ‹Ρ‚ΡŒ использовано для быстрой ΠΎΡ†Π΅Π½ΠΊΠΈ послСдствий Π² Ρ€Π°ΠΌΠΊΠ°Ρ… ΡƒΠΆΠ΅ ΠΏΡ€ΠΎΠΈΠ·ΠΎΡˆΠ΅Π΄ΡˆΠ΅ΠΉ Π°Π²Π°Ρ€ΠΈΠΈ, Π° Ρ‚Π°ΠΊΠΆΠ΅ для Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΠΈ ΠΏΠ»Π°Π½Π° ΠΎΠΏΠ΅Ρ€Π°Ρ‚ΠΈΠ²Π½Ρ‹Ρ… мСроприятий ΠΏΠΎ Π»ΠΈΠΊΠ²ΠΈΠ΄Π°Ρ†ΠΈΠΈ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½Ρ‹Ρ… Π°Π²Π°Ρ€ΠΈΠΉ, строящихся ΠΎΠ±ΡŠΠ΅ΠΊΡ‚ΠΎΠ², связанных с транспортировкой, Ρ…Ρ€Π°Π½Π΅Π½ΠΈΠ΅ΠΌ ΠΈΠ»ΠΈ ΠΏΠ΅Ρ€Π΅Ρ€Π°Π±ΠΎΡ‚ΠΊΠΎΠΉ Π½Π΅Ρ„Ρ‚Π΅ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚ΠΎΠ². Π’Π°ΠΊΠΈΠΌ ΠΎΠ±Ρ€Π°Π·ΠΎΠΌ, Ρ†Π΅Π»ΡŒ Π΄Π°Π½Π½ΠΎΠΉ Ρ€Π°Π±ΠΎΡ‚Ρ‹ ΠΏΡ€Π΅Π΄ΡΡ‚Π°Π²ΠΈΡ‚ΡŒ ΠΏΠΎΠ΄Ρ…ΠΎΠ΄, основанный Π½Π° знаниях, ΠΈ систСму Π΅Π³ΠΎ Ρ€Π΅Π°Π»ΠΈΠ·Π°Ρ†ΠΈΠΈ для прогнозирования послСдствий Π°Π²Π°Ρ€ΠΈΠΉΠ½Ρ‹Ρ… Ρ€Π°Π·Π»ΠΈΠ²ΠΎΠ² Π½Π΅Ρ„Ρ‚ΠΈ Π½Π° Π·Π΅ΠΌΠ»Π΅ ΠΈ Π² Π³Ρ€ΡƒΠ½Ρ‚ΠΎΠ²Ρ‹Ρ… Π²ΠΎΠ΄Π°Ρ…. Новизна ΠΏΡ€Π΅Π΄Π»Π°Π³Π°Π΅ΠΌΠΎΠ³ΠΎ ΠΏΠΎΠ΄Ρ…ΠΎΠ΄Π° Π·Π°ΠΊΠ»ΡŽΡ‡Π°Π΅Ρ‚ΡΡ Π² Ρ‚ΠΎΠΌ, Ρ‡Ρ‚ΠΎ ΠΎΠ½ позволяСт комплСксно и систСмно ΠΏΡ€ΠΎΠ³Π½ΠΎΠ·ΠΈΡ€ΠΎΠ²Π°Ρ‚ΡŒ нСфтяныС Ρ€Π°Π·Π»ΠΈΠ²Ρ‹. ΠŸΠΎΠ΄Ρ…ΠΎΠ΄ состоит ΠΈΠ· ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½Ρ‚ΠΎΠ² для модСлирования гСологичСской срСды (Ρ‚.Π΅. гСологичСских слоСв, Ρ„ΠΎΡ€ΠΌΡ‹ Ρ€Π°Π·Π»ΠΈΠ²Π° Π½Π΅Ρ„Ρ‚ΠΈ, ΠΌΠΈΠ³Ρ€Π°Ρ†ΠΈΠΈ Π½Π΅Ρ„Ρ‚ΠΈ вмСстС с Π³Ρ€ΡƒΠ½Ρ‚ΠΎΠ²Ρ‹ΠΌΠΈ Π²ΠΎΠ΄Π°ΠΌΠΈ), ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½Ρ‚Π° ΠΏΠΎ ΠΏΡ€ΠΎΠ³Π½ΠΎΠ·ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΡŽ Ρ€Π°Π·Π»ΠΈΠ²Π° Π½Π΅Ρ„Ρ‚ΠΈ ΠΈ ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½Ρ‚Π°, ΡΠΌΡΠ³Ρ‡Π°ΡŽΡ‰Π΅Π³ΠΎ послСдствия загрязнСния ΠΎΠΊΡ€ΡƒΠΆΠ°ΡŽΡ‰Π΅ΠΉ срСды. Помимо этого, ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½Ρ‚, ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡŽΡ‰ΠΈΠΉ ΠΎΡΡƒΡ‰Π΅ΡΡ‚Π²Π»ΡΡ‚ΡŒ ΠΏΡ€ΠΎΠ³Π½ΠΎΠ·ΠΈΡ€ΠΎΠ²Π°Π½ΠΈΠ΅, основан Π½Π° экспСртных знаниях ΠΎ нСфтяных Ρ€Π°Π·Π»ΠΈΠ²Π°Ρ…. Π’ Π΄ΠΎΠΏΠΎΠ»Π½Π΅Π½ΠΈΠ΅, Π² Π΄Π°Π½Π½ΠΎΠΉ ΡΡ‚Π°Ρ‚ΡŒΠ΅ прСдставлСна общая структура Ρ€Π΅Π°Π»ΠΈΠ·Π°Ρ†ΠΈΠΈ ΠΏΡ€Π΅Π΄Π»ΠΎΠΆΠ΅Π½Π½ΠΎΠ³ΠΎ ΠΏΠΎΠ΄Ρ…ΠΎΠ΄Π°, основанного Π½Π° знаниях, ΠΈ Π΅Π³ΠΎ осущСствлСниС Π² Π²ΠΈΠ΄Π΅ ΠΏΡ€ΠΎΡ‚ΠΎΡ‚ΠΈΠΏΠ° SoS-Groun

    ΠžΡΠ½ΠΎΠ²Π°Π½Π½Ρ‹ΠΉ Π½Π° знаниях ΠΏΠΎΠ΄Ρ…ΠΎΠ΄ прогнозирования послСдствий нСфтяных Ρ€Π°Π·Π»ΠΈΠ²ΠΎΠ² Π½Π° ΠΏΠΎΠ²Π΅Ρ€Ρ…Π½ΠΎΡΡ‚ΡŒ Π·Π΅ΠΌΠ»ΠΈ

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    The oil industry carries enormous environmental risks and can cause consequences at different levels: water, air, soil, and, therefore, all living things on our planet. In this regard, forecasting the environmental consequences of oil spill accidents becomes relevant. Moreover, forecasting of oil spill accidents can be used to quickly assess the consequences of an accident that has already occurred, as well as to develop a plan of operational measures to eliminate possible accidents, facilities under construction, associated with the transportation, storage or processing of petroleum products. Consequently, the aim of this paper is to present a knowledge-based approach and its implementing system for forecasting the consequences of an accidental oil spills on the ground and groundwater. The novelty of the proposed approach is that it allows us to forecast the oil spill in a complex and systematic way. It consists of components for modelling geological environment (i.e., geological layers, oil spill form, the oil migration with groundwater), forecasting component for an oil spill and pollution mitigation component. Moreover, the forecasting component is based on experts’ knowledge on oil spill. In addition, the paper presents a general architecture for the implementation of the proposed knowledge-based approach and its implementation into a prototype named SoS-Ground

    Π Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΠ° статистичСских классификаций для изучСния содСрТания ΠΈ структуры ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠ³ΠΎ Ρ€Ρ‹Π½ΠΊΠ° нСдвиТимости

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    Statistical study of the primary real estate market is always associated with the problem that the object is in a constant, and very intense change, both in quantitative terms and in its internal content. Therefore, the issues of constant adaptation of statistical methodology in relation to the primary real estate market are relevant continuously. Among the tasks that are constantly in the field of statistical science and practice in relation to the primary real estate market are the following. First, a critical analysis of the content of the modern primary real estate market, which should allow to identify its fundamental features as an object of statistical research, to systematize the economic relations of the subjects of this market segment for a comprehensive statistical analysis of its functioning and development in any region of Russia. Secondly, it is the construction of analytical classifications of the primary real estate market, systematization of criteria for their construction, which should allow for a qualitative analysis of the structure of this market segment in the modern market economy. Third, the continuous improvement of the system of statistical indicators of the primary real estate market, whichΒ should be constantly supplemented by various blocks of indicators, the use of which will link the development of the primary real estate market with indicators of the standard of living of the population and socio-economic development of a particular region on the basis of the formation and ordering of its various subsystems, which will increase their consistency with indicators of living standards and socio-economic development. To Develop the theory and statistical methodology of the complex study of the primary real estate market in terms of the development of criteria for the division of the object into homogeneous groups by typological characteristics and the construction on their basis of statistical classifications necessary for the structural analysis of the primary real estate market. To obtain scientific results in this article, General scientific methods of cognition, such as scientific abstraction, analysis and synthesis, are used, since it is a question of dividing a single whole into typologically homogeneous complexes, the organic relationship between which ensures the integrity and unity of the studied object – the primary real estate market. In addition, the use of the statistical grouping method is considered throughout the work, as it is an applied application of typological criteria. The main classification features of economic assets traded in the primary real estate market of the region are Substantiated and formulated. The development of criteria for the typological division of the object allowed to build statistical classifications necessary for a comprehensive analysis of the structure and structural changes in the primary real estate market. In the scientific article deals with the problematic aspects of a statistical study of the primary real estate market in parts of its etymology on the basis of clear criteria against which to understand the quality and properties of the traded on its economic assets, to build a statistical classification. All this is a step in the first stage of the statistical study in the sequence that is classically considered by the General theory of statistics. Statistical classifications and groupings by typological features precede the science-intensive substantiation and application of complex mathematical and static methods for factor analysis and forecasting of primary real estate market indicators.БтатистичСскоС ΠΈΠ·ΡƒΡ‡Π΅Π½ΠΈΠ΅ ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠ³ΠΎ Ρ€Ρ‹Π½ΠΊΠ° нСдвиТимости всСгда сопряТСно с Ρ‚ΠΎΠΉ ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΠΎΠΉ, Ρ‡Ρ‚ΠΎ ΠΎΠ±ΡŠΠ΅ΠΊΡ‚ находится Π² постоянном, ΠΏΡ€ΠΈΡ‡Ρ‘ΠΌ вСсьма интСнсивном ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΈ, ΠΊΠ°ΠΊ Π² количСствСнном аспСктС, Ρ‚Π°ΠΊ ΠΈ Π² своём Π²Π½ΡƒΡ‚Ρ€Π΅Π½Π½Π΅ΠΌ содСрТании. ΠŸΠΎΡΡ‚ΠΎΠΌΡƒ ΠΈ вопросы постоянной Π°Π΄Π°ΠΏΡ‚Π°Ρ†ΠΈΠΈ статистичСской ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΠΈ Π² ΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΠΈ ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠ³ΠΎ Ρ€Ρ‹Π½ΠΊΠ° нСдвиТимости Π°ΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½Ρ‹ Π½Π΅ΠΏΡ€Π΅Ρ€Ρ‹Π²Π½ΠΎ. Π‘Ρ€Π΅Π΄ΠΈ Π·Π°Π΄Π°Ρ‡, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅ постоянно находятся Π² ΠΏΠΎΠ»Π΅ статистичСской Π½Π°ΡƒΠΊΠΈ ΠΈ ΠΏΡ€Π°ΠΊΡ‚ΠΈΠΊΠΈ Π² ΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΠΈ ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠ³ΠΎ Ρ€Ρ‹Π½ΠΊΠ° нСдвиТимости ΠΌΠΎΠΆΠ½ΠΎ Π²Ρ‹Π΄Π΅Π»ΠΈΡ‚ΡŒ ΡΠ»Π΅Π΄ΡƒΡŽΡ‰ΠΈΠ΅. Π’ΠΎ-ΠΏΠ΅Ρ€Π²Ρ‹Ρ…, ΠΏΡ€ΠΎΠ²Π΅Π΄Π΅Π½ΠΈΠ΅ критичСского Π°Π½Π°Π»ΠΈΠ·Π° содСрТания соврСмСнного Ρ€Ρ‹Π½ΠΊΠ° ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠΉ нСдвиТимости, Ρ‡Ρ‚ΠΎ Π΄ΠΎΠ»ΠΆΠ½ΠΎ ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΡ‚ΡŒ Π²Ρ‹ΡΠ²ΠΈΡ‚ΡŒ Π΅Π³ΠΎ ΠΏΡ€ΠΈΠ½Ρ†ΠΈΠΏΠΈΠ°Π»ΡŒΠ½Ρ‹Π΅ особСнности ΠΊΠ°ΠΊ ΠΎΠ±ΡŠΠ΅ΠΊΡ‚Π° статистичСского исслСдования, ΡΠΈΡΡ‚Π΅ΠΌΠ°Ρ‚ΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Ρ‚ΡŒ экономичСскиС связи ΡΡƒΠ±ΡŠΠ΅ΠΊΡ‚ΠΎΠ² Π΄Π°Π½Π½ΠΎΠ³ΠΎ сСгмСнта Ρ€Ρ‹Π½ΠΊΠ° для провСдСния комплСксного статистичСского Π°Π½Π°Π»ΠΈΠ·Π° Π΅Π³ΠΎ функционирования ΠΈ развития Π² любом Ρ€Π΅Π³ΠΈΠΎΠ½Π΅ России. Π’ΠΎ-Π²Ρ‚ΠΎΡ€Ρ‹Ρ…, это построСниС аналитичСских классификаций ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠ³ΠΎ Ρ€Ρ‹Π½ΠΊΠ° нСдвиТимости, систСматизация ΠΊΡ€ΠΈΡ‚Π΅Ρ€ΠΈΠ΅Π² ΠΈΡ… построСния, Ρ‡Ρ‚ΠΎ Π΄ΠΎΠ»ΠΆΠ½ΠΎ ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΡ‚ΡŒ провСсти качСствСнный Π°Π½Π°Π»ΠΈΠ· структуры Π΄Π°Π½Π½ΠΎΠ³ΠΎ сСгмСнта Ρ€Ρ‹Π½ΠΊΠ° Π² соврСмСнных условиях Ρ€Ρ‹Π½ΠΎΡ‡Π½ΠΎΠΉ экономики. Π’-Ρ‚Ρ€Π΅Ρ‚ΡŒΠΈΡ…, постоянноС ΡƒΡΠΎΠ²Π΅Ρ€ΡˆΠ΅Π½ΡΡ‚Π²ΠΎΠ²Π°Π½ΠΈΠ΅ систСмы статистичСских ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠ³ΠΎ Ρ€Ρ‹Π½ΠΊΠ° нСдвиТимости, которая постоянно Π΄ΠΎΠ»ΠΆΠ½Π° Π΄ΠΎΠΏΠΎΠ»Π½ΡΡ‚ΡŒΡΡ Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹ΠΌΠΈ Π±Π»ΠΎΠΊΠ°ΠΌΠΈ ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ, ΠΏΡ€ΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Ρ… ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΡ‚ ΡƒΠ²ΡΠ·Π°Ρ‚ΡŒ Ρ€Π°Π·Π²ΠΈΡ‚ΠΈΠ΅ Ρ€Ρ‹Π½ΠΊΠ° ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠΉ нСдвиТимости с показатСлями уровня ΠΆΠΈΠ·Π½ΠΈ насСлСния ΠΈ ΡΠΎΡ†ΠΈΠ°Π»ΡŒΠ½ΠΎ-экономичСского развития ΠΊΠΎΠ½ΠΊΡ€Π΅Ρ‚Π½ΠΎΠ³ΠΎ Ρ€Π΅Π³ΠΈΠΎΠ½Π° Π½Π° основС формирования ΠΈ упорядочСния Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Ρ… Π΅Π΅ подсистСм, Ρ‡Ρ‚ΠΎ повысит ΠΈΡ… ΡΠΎΠ³Π»Π°ΡΠΎΠ²Π°Π½Π½ΠΎΡΡ‚ΡŒ с показатСлями уровня ΠΆΠΈΠ·Π½ΠΈ ΠΈ ΡΠΎΡ†ΠΈΠ°Π»ΡŒΠ½ΠΎ-экономичСского развития. ЦСль: Π Π°Π·Π²ΠΈΡ‚ΠΈΠ΅ Ρ‚Π΅ΠΎΡ€ΠΈΠΈ ΠΈ статистичСской ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΠΈ комплСксного изучСния ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠ³ΠΎ Ρ€Ρ‹Π½ΠΊΠ° нСдвиТимости Π² части Ρ€Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΠΈ ΠΊΡ€ΠΈΡ‚Π΅Ρ€ΠΈΠ΅Π² раздСлСния ΠΎΠ±ΡŠΠ΅ΠΊΡ‚Π° Π½Π° ΠΎΠ΄Π½ΠΎΡ€ΠΎΠ΄Π½Ρ‹Π΅ Π³Ρ€ΡƒΠΏΠΏΡ‹ ΠΏΠΎ типологичСским ΠΏΡ€ΠΈΠ·Π½Π°ΠΊΠ°ΠΌ ΠΈ построСниС Π½Π° ΠΈΡ… основС статистичСских классификаций, Π½Π΅ΠΎΠ±Ρ…ΠΎΠ΄ΠΈΠΌΡ‹Ρ… для структурного Π°Π½Π°Π»ΠΈΠ·Π° ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠ³ΠΎ Ρ€Ρ‹Π½ΠΊΠ° нСдвиТимости. ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»Ρ‹ ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹: Для получСния Π½Π°ΡƒΡ‡Π½Ρ‹Ρ… Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΎΠ² Π² Ρ€Π°ΠΌΠΊΠ°Ρ… Π΄Π°Π½Π½ΠΎΠΉ ΡΡ‚Π°Ρ‚ΡŒΠΈ ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΠΎΠ²Π°Π½Ρ‹ ΠΎΠ±Ρ‰Π΅Π½Π°ΡƒΡ‡Π½Ρ‹Π΅ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹ познания, Ρ‚Π°ΠΊΠΈΠ΅ ΠΊΠ°ΠΊ научная абстракция, Π°Π½Π°Π»ΠΈΠ· ΠΈ синтСз, Ρ‚Π°ΠΊ ΠΊΠ°ΠΊ Ρ€Π΅Ρ‡ΡŒ ΠΈΠ΄Π΅Ρ‚ ΠΎ Ρ€Π°Π·Π±ΠΈΠ΅Π½ΠΈΠΈ Π΅Π΄ΠΈΠ½ΠΎΠ³ΠΎ Ρ†Π΅Π»ΠΎΠ³ΠΎ Π½Π° типологичСски ΠΎΠ΄Π½ΠΎΡ€ΠΎΠ΄Π½Ρ‹Π΅ совокупности, органичная взаимосвязь ΠΌΠ΅ΠΆΠ΄Ρƒ ΠΊΠΎΡ‚ΠΎΡ€Ρ‹ΠΌΠΈ ΠΈ обСспСчиваСт Ρ†Π΅Π»ΠΎΡΡ‚Π½ΠΎΡΡ‚ΡŒ ΠΈ Сдинство ΠΈΠ·ΡƒΡ‡Π°Π΅ΠΌΠΎΠ³ΠΎ ΠΎΠ±ΡŠΠ΅ΠΊΡ‚Π° – ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠ³ΠΎ Ρ€Ρ‹Π½ΠΊΠ° нСдвиТимости. ΠšΡ€ΠΎΠΌΠ΅ Ρ‚ΠΎΠ³ΠΎ, Π½Π° протяТСнии всСй Ρ€Π°Π±ΠΎΡ‚Ρ‹ рассматриваСтся использованиС статистичСского ΠΌΠ΅Ρ‚ΠΎΠ΄Π° Π³Ρ€ΡƒΠΏΠΏΠΈΡ€ΠΎΠ²ΠΎΠΊ, Ρ‚Π°ΠΊ ΠΊΠ°ΠΊ Ρ€Π΅Ρ‡ΡŒ ΠΈΠ΄Π΅Ρ‚ ΠΎ ΠΏΡ€ΠΈΠΊΠ»Π°Π΄Π½ΠΎΠΌ ΠΏΡ€ΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠΈ типологичСских ΠΊΡ€ΠΈΡ‚Π΅Ρ€ΠΈΠ΅Π² формирования Π΅Π΄ΠΈΠ½ΠΈΡ† наблюдСния Π² ΠΎΠ΄Π½ΠΎΡ€ΠΎΠ΄Π½Ρ‹Π΅ Π³Ρ€ΡƒΠΏΠΏΡ‹. Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹: ΠžΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½Ρ‹ ΠΈ сформулированы основныС классификационныС ΠΏΡ€ΠΈΠ·Π½Π°ΠΊΠΈ экономичСских Π°ΠΊΡ‚ΠΈΠ²ΠΎΠ², ΠΎΠ±Ρ€Π°Ρ‰Π°ΡŽΡ‰ΠΈΡ…ΡΡ Π½Π° ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠΌ Ρ€Ρ‹Π½ΠΊΠ΅ нСдвиТимости Ρ€Π΅Π³ΠΈΠΎΠ½Π°. Π Π°Π·Ρ€Π°Π±ΠΎΡ‚ΠΊΠ° ΠΊΡ€ΠΈΡ‚Π΅Ρ€ΠΈΠ΅Π² типологичСского раздСлСния ΠΎΠ±ΡŠΠ΅ΠΊΡ‚Π° ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠ»Π° ΠΏΠΎΡΡ‚Ρ€ΠΎΠΈΡ‚ΡŒ статистичСскиС классификации, Π½Π΅ΠΎΠ±Ρ…ΠΎΠ΄ΠΈΠΌΡ‹Π΅ для всСстороннСго ΡΠΎΠ΄Π΅Ρ€ΠΆΠ°Ρ‚Π΅Π»ΡŒΠ½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π° структуры ΠΈ структурных сдвигов Π½Π° ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠΌ Ρ€Ρ‹Π½ΠΊΠ΅ нСдвиТимости. Π—Π°ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΠ΅: Π’ Π½Π°ΡƒΡ‡Π½ΠΎΠΉ ΡΡ‚Π°Ρ‚ΡŒΠ΅ рассмотрСны ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΠ½Ρ‹Π΅ аспСкты статистичСского изучСния ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠ³ΠΎ Ρ€Ρ‹Π½ΠΊΠ° нСдвиТимости Π² части Π΅Π³ΠΎ этимологизации Π½Π° основС Ρ‡Ρ‘Ρ‚ΠΊΠΈΡ… ΠΊΡ€ΠΈΡ‚Π΅Ρ€ΠΈΠ΅Π², ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡŽΡ‰ΠΈΡ… ΠΏΠΎΠ½ΡΡ‚ΡŒ качСство ΠΈ свойства ΠΎΠ±Ρ€Π°Ρ‰Π°ΡŽΡ‰ΠΈΡ…ΡΡ Π½Π° Π½Π΅ΠΌ экономичСских Π°ΠΊΡ‚ΠΈΠ²ΠΎΠ², ΠΏΠΎΡΡ‚Ρ€ΠΎΠΈΡ‚ΡŒ статистичСскиС классификации. Всё это являСтся шагом Π² Ρ€Π°ΠΌΠΊΠ°Ρ… ΠΏΠ΅Ρ€Π²ΠΎΠ³ΠΎ этапа статистичСского исслСдования Π² Ρ‚ΠΎΠΉ Π΅Π³ΠΎ ΠΏΠΎΡΠ»Π΅Π΄ΠΎΠ²Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΠΈ, которая классичСски рассматриваСтся ΠΎΠ±Ρ‰Π΅ΠΉ Ρ‚Π΅ΠΎΡ€ΠΈΠ΅ΠΉ статистики. БтатистичСскиС классификации ΠΈ Π³Ρ€ΡƒΠΏΠΏΠΈΡ€ΠΎΠ²ΠΊΠΈ ΠΏΠΎ типологичСским ΠΏΡ€ΠΈΠ·Π½Π°ΠΊΠ°ΠΌ ΠΏΡ€Π΅Π΄ΡˆΠ΅ΡΡ‚Π²ΡƒΡŽΡ‚ Π½Π°ΡƒΠΊΠΎΠ΅ΠΌΠΊΠΎΠΌΡƒ обоснованию ΠΈ ΠΏΡ€ΠΈΠΌΠ΅Π½Π΅Π½ΠΈΡŽ слоТных ΠΌΠ°Ρ‚Π΅ΠΌΠ°Ρ‚ΠΈΠΊΠΎ-статичСских ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ² для провСдСния Ρ„Π°ΠΊΡ‚ΠΎΡ€Π½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π° ΠΈ прогнозирования ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠ³ΠΎ Ρ€Ρ‹Π½ΠΊΠ° нСдвиТимости

    Π‘ΠΎΠ΄Π΅Ρ€ΠΆΠ°Π½ΠΈΠ΅ ΠΈ Π³Ρ€Π°Π½ΠΈΡ†Ρ‹ Ρ€Ρ‹Π½ΠΊΠ° ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠΉ нСдвиТимости ΠΊΠ°ΠΊ ΠΎΠ±ΡŠΠ΅ΠΊΡ‚Π° статистичСского исслСдования

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    The primary real estate market is one of the youngest segments of the market economy in modern Russia. If the genesis of the modern secondary market was observed in the pre-reform period: barter relations in terms of urban housing, the purchase and sale of suburban areas were freely carried out, small suburban real estate, garage buildings, etc., the real market relations with the relevant legal framework in terms of ownership rights in the primary market became possible only with the change of economic formation. All participants in the rapidly emerging primary real estate market quickly became familiar with pricing, market conditions, utility criteria and many other parameters inherent in this market segment. However, issues of managing business processes on the primary market of real estate, including a balance of opportunities for sellers and customer needs, pricing, adequate information support to all management levels, still are a problem and remain open.Purpose. The relevance and social need for statistical study of the primary real estate market determined the purpose of scientific work as a clarification of the nature, content, boundaries and participants of the market in order to improve and develop statistical methodology.Materials and methods. To make the research and form the adequate conclusions when writing a scientific paper, the extensive material of theoretical, methodological and applied nature was used, the authors of which are both domestic and foreign scientists in the field of statistics, management, investment, marketing and technical sciences. The paper uses a wide range of general scientific methods of knowledge, the use of which together allowed to abstract from the non-essential aspects and mutually reinforcing factors that do not ultimately have a tangible impact on the state and dynamics of the primary real estate market - methods of abstraction and idealization; moving from the general laws of the real estate market, to form private conclusions concerning the segments and even objects of the primary real estate market as an object of statistical research – the method of deduction; to comprehend the object as a whole and at the same time as an interconnected mechanism represented by all its structural components – methods of analysis and synthesis; to conduct a comparative analysis of objects and identify possible vectors of the market development – methods of analogy and mental-symbolic modeling.Results. Qualitative analysis allowed to determine the place and importance of the primary real estate market in the entire system of multi-market economy; to identify the life cycle of the objects of the market and on their basis to structure it; to identify the factors of development of the primary real estate market, quantitative assessment of the impact of which will be subsequently given on the basis of regression analysis; to summarize the set of risks that determine the diverse variation of the primary real estate market. The development of statistical methodology for the study of the primary real estate market can be based only on a clear understanding of the nature and internal content of the studied object. At the same time, so sensitive to the market and general economic situation in the country and each region, the market is constantly changing: it does not have a stationary point. Therefore, it is necessary not only quantitative analysis of the object on the basis of statistical methods, but also continuous monitoring of all economic phenomena that contribute to the modification of the primary real estate market.ΠŸΠ΅Ρ€Π²ΠΈΡ‡Π½Ρ‹ΠΉ Ρ€Ρ‹Π½ΠΎΠΊ нСдвиТимости являСтся ΠΎΠ΄Π½ΠΈΠΌ ΠΈΠ· самых ΠΌΠΎΠ»ΠΎΠ΄Ρ‹Ρ… сСгмСнтов Ρ€Ρ‹Π½ΠΎΡ‡Π½ΠΎΠΉ экономики Π² соврСмСнной России. Если гСнСзис соврСмСнного Π²Ρ‚ΠΎΡ€ΠΈΡ‡Π½ΠΎΠ³ΠΎ Ρ€Ρ‹Π½ΠΊΠ° наблюдался Π΅Ρ‰Π΅ Π² Π΄ΠΎΡ€Π΅Ρ„ΠΎΡ€ΠΌΠ΅Π½Π½Ρ‹ΠΉ ΠΏΠ΅Ρ€ΠΈΠΎΠ΄: носил Ρ„ΠΎΡ€ΠΌΡƒ Π±Π°Ρ€Ρ‚Π΅Ρ€Π½Ρ‹Ρ… ΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΠΉ Π² части городского Тилья, свободно ΠΎΡΡƒΡ‰Π΅ΡΡ‚Π²Π»ΡΠ»Π°ΡΡŒ купля-ΠΏΡ€ΠΎΠ΄Π°ΠΆΠ° Π΄Π°Ρ‡Π½Ρ‹Ρ… участков, ΠΌΠ΅Π»ΠΊΠΎΠΉ Π·Π°Π³ΠΎΡ€ΠΎΠ΄Π½ΠΎΠΉ нСдвиТимости, Π³Π°Ρ€Π°ΠΆΠ½Ρ‹Ρ… сооруТСний ΠΈ Ρ‚.Π΄., Ρ‚ΠΎ Ρ€Π΅Π°Π»ΡŒΠ½Ρ‹Π΅ Ρ€Ρ‹Π½ΠΎΡ‡Π½Ρ‹Π΅ ΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΡ с ΡΠΎΠΎΡ‚Π²Π΅Ρ‚ΡΡ‚Π²ΡƒΡŽΡ‰ΠΈΠΌ ΡŽΡ€ΠΈΠ΄ΠΈΡ‡Π΅ΡΠΊΠΈΠΌ ΠΎΠ±Ρ€Π°ΠΌΠ»Π΅Π½ΠΈΠ΅ΠΌ Π² части ΠΏΡ€Π°Π² собствСнности Π½Π° ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠΌ Ρ€Ρ‹Π½ΠΊΠ΅ стали Π²ΠΎΠ·ΠΌΠΎΠΆΠ½Ρ‹ Ρ‚ΠΎΠ»ΡŒΠΊΠΎ со смСной экономичСской Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΈ. ВсС участники быстро Ρ„ΠΎΡ€ΠΌΠΈΡ€ΡƒΡŽΡ‰Π΅Π³ΠΎΡΡ Ρ€Ρ‹Π½ΠΊΠ° ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠΉ нСдвиТимости довольно быстро ΡΠΎΡ€ΠΈΠ΅Π½Ρ‚ΠΈΡ€ΠΎΠ²Π°Π»ΠΈΡΡŒ ΠΏΠΎ вопросам цСнообразования, Ρ€Ρ‹Π½ΠΎΡ‡Π½ΠΎΠΉ ΠΊΠΎΠ½ΡŠΡŽΠ½ΠΊΡ‚ΡƒΡ€Ρ‹, ΠΊΡ€ΠΈΡ‚Π΅Ρ€ΠΈΠ΅Π² полСзности ΠΈ ΠΌΠ½ΠΎΠ³ΠΈΠΌ Π΄Ρ€ΡƒΠ³ΠΈΠΌ ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€Π°ΠΌ, присущим Π΄Π°Π½Π½ΠΎΠΌΡƒ сСгмСнту Ρ€Ρ‹Π½ΠΊΠ°. ВмСстС с Ρ‚Π΅ΠΌ, Ρ€Π΅ΡˆΠ΅Π½ΠΈΠ΅ вопросов управлСния хозяйствСнными процСссами Π½Π° ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠΌ Ρ€Ρ‹Π½ΠΊΠ΅ нСдвиТимости, Π²ΠΊΠ»ΡŽΡ‡Π°Ρ ΡΠ±Π°Π»Π°Π½ΡΠΈΡ€ΠΎΠ²Π°Π½Π½ΠΎΡΡ‚ΡŒ возмоТностСй ΠΏΡ€ΠΎΠ΄Π°Π²Ρ†ΠΎΠ² ΠΈ потрСбностСй ΠΏΠΎΠΊΡƒΠΏΠ°Ρ‚Π΅Π»Π΅ΠΉ, рСгулирования цСнообразования, Π°Π΄Π΅ΠΊΠ²Π°Ρ‚Π½ΠΎΠ³ΠΎ ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ обСспСчСния всСх управлСнчСских звСньСв, Π΄ΠΎ сих ΠΏΠΎΡ€ носят ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΠ½Ρ‹ΠΉ Ρ…Π°Ρ€Π°ΠΊΡ‚Π΅Ρ€ ΠΈ ΠΎΡΡ‚Π°ΡŽΡ‚ΡΡ ΠΎΡ‚ΠΊΡ€Ρ‹Ρ‚Ρ‹ΠΌΠΈ.ЦСль. ΠΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ ΠΈ общСствСнная ΠΏΠΎΡ‚Ρ€Π΅Π±Π½ΠΎΡΡ‚ΡŒ Π² статистичСском ΠΈΠ·ΡƒΡ‡Π΅Π½ΠΈΠΈ ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠ³ΠΎ Ρ€Ρ‹Π½ΠΊΠ° нСдвиТимости ΠΏΡ€Π΅Π΄ΠΎΠΏΡ€Π΅Π΄Π΅Π»ΠΈΠ»ΠΈ Ρ†Π΅Π»ΡŒ Π½Π°ΡƒΡ‡Π½ΠΎΠΉ Ρ€Π°Π±ΠΎΡ‚Ρ‹ ΠΊΠ°ΠΊ ΡƒΡ‚ΠΎΡ‡Π½Π΅Π½ΠΈΠ΅ сущности, содСрТания, Π³Ρ€Π°Π½ΠΈΡ† ΠΈ участников Π΄Π°Π½Π½ΠΎΠ³ΠΎ Ρ€Ρ‹Π½ΠΊΠ° Π² интСрСсах ΡΠΎΠ²Π΅Ρ€ΡˆΠ΅Π½ΡΡ‚Π²ΠΎΠ²Π°Π½ΠΈΡ ΠΈ развития статистичСской ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΠΈ.ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»Ρ‹ ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹. Для выстраиваниС исслСдования ΠΈ формирования Π°Π΄Π΅ΠΊΠ²Π°Ρ‚Π½Ρ‹Ρ… Π²Ρ‹Π²ΠΎΠ΄ΠΎΠ² ΠΏΡ€ΠΈ написании Π½Π°ΡƒΡ‡Π½ΠΎΠΉ ΡΡ‚Π°Ρ‚ΡŒΠΈ использован ΠΎΠ±ΡˆΠΈΡ€Π½Ρ‹ΠΉ ΠΌΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π» тСорСтичСского, мСтодологичСского ΠΈ ΠΏΡ€ΠΈΠΊΠ»Π°Π΄Π½ΠΎΠ³ΠΎ Ρ…Π°Ρ€Π°ΠΊΡ‚Π΅Ρ€Π°, Π°Π²Ρ‚ΠΎΡ€Π°ΠΌΠΈ ΠΊΠΎΡ‚ΠΎΡ€ΠΎΠ³ΠΎ ΡΠ²Π»ΡΡŽΡ‚ΡΡ, ΠΊΠ°ΠΊ отСчСствСнныС, Ρ‚Π°ΠΊ ΠΈ Π·Π°Ρ€ΡƒΠ±Π΅ΠΆΠ½Ρ‹Π΅ ΡƒΡ‡Π΅Π½Ρ‹ΠΉ Π² области статистики, ΠΌΠ΅Π½Π΅Π΄ΠΆΠΌΠ΅Π½Ρ‚Π°, инвСстиций, ΠΌΠ°Ρ€ΠΊΠ΅Ρ‚ΠΈΠ½Π³Π°, Π° Ρ‚Π°ΠΊΠΆΠ΅ тСхничСских Π½Π°ΡƒΠΊ. Π’ Ρ€Π°Π±ΠΎΡ‚Π΅ использован ΡˆΠΈΡ€ΠΎΠΊΠΈΠΉ ΠΊΡ€ΡƒΠ³ ΠΎΠ±Ρ‰Π΅Π½Π°ΡƒΡ‡Π½Ρ‹Ρ… ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ² познания, ΠΏΡ€ΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Ρ… Π² совокупности ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠ»ΠΎ Π°Π±ΡΡ‚Ρ€Π°Π³ΠΈΡ€ΠΎΠ²Π°Ρ‚ΡŒΡΡ ΠΎΡ‚ нСсущСствСнных аспСктов ΠΈ Π²Π·Π°ΠΈΠΌΠΎΠΏΠΎΠ³Π°ΡˆΠ°ΡŽΡ‰ΠΈΡ… Π΄Ρ€ΡƒΠ³ Π΄Ρ€ΡƒΠ³Π° Ρ„Π°ΠΊΡ‚ΠΎΡ€ΠΎΠ², Π½Π΅ ΠΎΠΊΠ°Π·Ρ‹Π²Π°ΡŽΡ‰ΠΈΡ… Π² ΠΊΠΎΠ½Π΅Ρ‡Π½ΠΎΠΌ ΠΈΡ‚ΠΎΠ³Π΅ ΠΎΡ‰ΡƒΡ‚ΠΈΠΌΠΎΠ³ΠΎ влияния Π½Π° состояниС ΠΈ Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΡƒ Ρ€Ρ‹Π½ΠΊΠ° ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠΉ нСдвиТимости – ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹ абстракции ΠΈ ΠΈΠ΄Π΅Π°Π»ΠΈΠ·Π°Ρ†ΠΈΠΈ; пСрСйдя ΠΎΡ‚ ΠΎΠ±Ρ‰ΠΈΡ… закономСрностСй функционирования Ρ€Ρ‹Π½ΠΊΠ° нСдвиТимости, ΡΡ„ΠΎΡ€ΠΌΠΈΡ€ΠΎΠ²Π°Ρ‚ΡŒ частныС Π²Ρ‹Π²ΠΎΠ΄Ρ‹, ΠΊΠ°ΡΠ°ΡŽΡ‰ΠΈΠ΅ΡΡ сСгмСнтов ΠΈ Π΄Π°ΠΆΠ΅ ΠΎΠ±ΡŠΠ΅ΠΊΡ‚ΠΎΠ² ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠ³ΠΎ Ρ€Ρ‹Π½ΠΊΠ° нСдвиТимости ΠΊΠ°ΠΊ ΠΎΠ±ΡŠΠ΅ΠΊΡ‚Π° статистичСского исслСдования – ΠΌΠ΅Ρ‚ΠΎΠ΄ Π΄Π΅Π΄ΡƒΠΊΡ†ΠΈΠΈ; ΠΏΠΎΡΡ‚ΠΈΡ‡ΡŒ ΠΎΠ±ΡŠΠ΅ΠΊΡ‚ ΠΊΠ°ΠΊ Π΅Π΄ΠΈΠ½ΠΎΠ΅ Ρ†Π΅Π»ΠΎΠ΅ ΠΈ ΠΎΠ΄Π½ΠΎΠ²Ρ€Π΅ΠΌΠ΅Π½Π½ΠΎ ΠΊΠ°ΠΊ взаимоувязанный ΠΌΠ΅Ρ…Π°Π½ΠΈΠ·ΠΌ, прСдставлСнный всСми Π΅Π³ΠΎ структурными ΡΠΎΡΡ‚Π°Π²Π»ΡΡŽΡ‰ΠΈΠΌΠΈ – ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹ Π°Π½Π°Π»ΠΈΠ·Π° ΠΈ синтСза; провСсти ΡΡ€Π°Π²Π½ΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹ΠΉ Π°Π½Π°Π»ΠΈΠ· ΠΎΠ±ΡŠΠ΅ΠΊΡ‚ΠΎΠ² ΠΈ ΠΎΠ±ΠΎΠ·Π½Π°Ρ‡ΠΈΡ‚ΡŒ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½Ρ‹Π΅ Π²Π΅ΠΊΡ‚ΠΎΡ€Ρ‹ развития исслСдуСмого Ρ€Ρ‹Π½ΠΊΠ° – ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹ Π°Π½Π°Π»ΠΎΠ³ΠΈΠΈ ΠΈ мыслСнно-символичСского модСлирования.Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹. ΠšΠ°Ρ‡Π΅ΡΡ‚Π²Π΅Π½Π½Ρ‹ΠΉ Π°Π½Π°Π»ΠΈΠ· ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠ» ΠΎΠΏΡ€Π΅Π΄Π΅Π»ΠΈΡ‚ΡŒ мСсто ΠΈ Π·Π½Π°Ρ‡Π΅Π½ΠΈΠ΅ ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠ³ΠΎ Ρ€Ρ‹Π½ΠΊΠ° нСдвиТимости Π²ΠΎ всСй систСмС ΠΌΠ½ΠΎΠ³ΠΎΡƒΠΊΠ»Π°Π΄Π½ΠΎΠ³ΠΎ Ρ€Ρ‹Π½ΠΎΡ‡Π½ΠΎΠ³ΠΎ хозяйства; ΠΎΠ±ΠΎΠ·Π½Π°Ρ‡ΠΈΡ‚ΡŒ ΠΆΠΈΠ·Π½Π΅Π½Π½Ρ‹Π΅ Ρ†ΠΈΠΊΠ»Π° ΠΎΠ±ΡŠΠ΅ΠΊΡ‚ΠΎΠ² Π΄Π°Π½Π½ΠΎΠ³ΠΎ Ρ€Ρ‹Π½ΠΊΠ° ΠΈ Π½Π° ΠΈΡ… основС ΡΡ‚Ρ€ΡƒΠΊΡ‚ΡƒΡ€ΠΈΡ€ΠΎΠ²Π°Ρ‚ΡŒ Π΅Π³ΠΎ; ΠΎΠ±ΠΎΠ·Π½Π°Ρ‡ΠΈΡ‚ΡŒ Ρ„Π°ΠΊΡ‚ΠΎΡ€Ρ‹ развития ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠ³ΠΎ Ρ€Ρ‹Π½ΠΊΠ° нСдвиТимости, количСствСнная ΠΎΡ†Π΅Π½ΠΊΠ° влияния ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Ρ… Π±ΡƒΠ΄Π΅Ρ‚ Π² ΠΏΠΎΡΠ»Π΅Π΄ΡƒΡŽΡ‰Π΅ΠΌ Π΄Π°Π½Π° Π½Π° основС примСнСния рСгрСссионного Π°Π½Π°Π»ΠΈΠ·Π°; ΠΎΠ±ΠΎΠ±Ρ‰ΠΈΡ‚ΡŒ ΡΠΎΠ²ΠΎΠΊΡƒΠΏΠ½ΠΎΡΡ‚ΡŒ рисков, ΠΎΠΏΡ€Π΅Π΄Π΅Π»ΡΡŽΡ‰ΠΈΡ… ΠΌΠ½ΠΎΠ³ΠΎΠΎΠ±Ρ€Π°Π·Π½ΡƒΡŽ Π²Π°Ρ€ΠΈΠ°Ρ†ΠΈΡŽ ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠ³ΠΎ Ρ€Ρ‹Π½ΠΊΠ° нСдвиТимости.Π—Π°ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΠ΅. Π Π°Π·Π²ΠΈΡ‚ΠΈΠ΅ статистичСской ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΠΈ для изучСния ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠ³ΠΎ Ρ€Ρ‹Π½ΠΊΠ° нСдвиТимости ΠΌΠΎΠΆΠ΅Ρ‚ Π±Π°Π·ΠΈΡ€ΠΎΠ²Π°Ρ‚ΡŒΡΡ Ρ‚ΠΎΠ»ΡŒΠΊΠΎ Π½Π° Ρ‡Ρ‘Ρ‚ΠΊΠΎΠΌ ΠΏΠΎΠ½ΠΈΠΌΠ°Π½ΠΈΠΈ сущности ΠΈ Π²Π½ΡƒΡ‚Ρ€Π΅Π½Π½Π΅Π³ΠΎ содСрТания ΠΈΠ·ΡƒΡ‡Π°Π΅ΠΌΠΎΠ³ΠΎ ΠΎΠ±ΡŠΠ΅ΠΊΡ‚Π°. ΠŸΡ€ΠΈ этом Ρ‚Π°ΠΊΠΎΠΉ Ρ‡ΡƒΠ²ΡΡ‚Π²ΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹ΠΉ ΠΊ Ρ€Ρ‹Π½ΠΎΡ‡Π½ΠΎΠΉ ΠΊΠΎΠ½ΡŠΡŽΠ½ΠΊΡ‚ΡƒΡ€Π΅ ΠΈ ΠΎΠ±Ρ‰Π΅ΠΉ экономичСской ситуации Π² странС ΠΈ ΠΊΠ°ΠΆΠ΄ΠΎΠΌ Ρ€Π΅Π³ΠΈΠΎΠ½Π΅ Ρ€Ρ‹Π½ΠΎΠΊ, манятся постоянно: Ρƒ Π½Π΅Π³ΠΎ Π½Π΅ Π±Ρ‹Π²Π°Π΅Ρ‚ стационарной Ρ‚ΠΎΡ‡ΠΊΠΈ. ΠŸΠΎΡΡ‚ΠΎΠΌΡƒ Π½Π΅ΠΎΠ±Ρ…ΠΎΠ΄ΠΈΠΌ Π½Π΅ Ρ‚ΠΎΠ»ΡŒΠΊΠΎ количСствСнный Π°Π½Π°Π»ΠΈΠ· ΠΎΠ±ΡŠΠ΅ΠΊΡ‚Π° Π½Π° основС статистичСских ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ², Π½ΠΎ ΠΈ постоянный ΠΌΠΎΠ½ΠΈΡ‚ΠΎΡ€ΠΈΠ½Π³ всСх экономичСских явлСний, вносящих свой Π²ΠΊΠ»Π°Π΄ Π² ΠΌΠΎΠ΄ΠΈΡ„ΠΈΠΊΠ°Ρ†ΠΈΡŽ ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠ³ΠΎ Ρ€Ρ‹Π½ΠΊΠ° нСдвиТимости

    Geoantineutrino Spectrum, 3He/4He-ratio Distribution in the Earth's Interior and Slow Nuclear Burning on the Boundary of the Liquid and Solid Phases of the Earth's Core

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    The description problem of geoantineutrino spectrum and reactor antineutrino experimental spectrum in KamLAND, which takes place for antineutrino energy \~2.8 MeV, and also the experimental results of the interaction of uranium dioxide and carbide with iron-nickel and silicaalumina melts at high pressure (5-10 GP?) and temperature (1600-2200C) have motivated us to consider the possible consequences of the assumption made by V.Anisichkin and coauthors that there is an actinid shell on boundary of liquid and solid phases of the Earth's core. We have shown that the activation of a natural nuclear reactor operating as the solitary waves of nuclear burning in 238U- and/or 232Th-medium (in particular, the neutron- fission progressive wave of Feoktistov and/or Teller-Ishikawa-Wood) can be such a physical consequence. The simplified model of the kinetics of accumulation and burnup in U-Pu fuel cycle of Feoktistov is developed. The results of the numerical simulation of neutron-fission wave in two-phase UO2/Fe medium on a surface of the Earth's solid core are presented. The georeactor model of 3He origin and the 3He/4He-ratio distribution in the Earth's interior is offered. It is shown that the 3He/4He ratio distribution can be the natural quantitative criterion of georeactor thermal power. On the basis of O'Nions-Evensen-Hamilton geochemical model of mantle differentiation and the crust growth supplied by actinid shell on the boundary of liquid and solid phases of the Earth's core as a nuclear energy source (georeactor with power of 30 TW), the tentative estimation of geoantineutrino intensity and geoantineutrino spectrum on the Earth surface are given.Comment: 28 pages, 12 figures. Added text, formulas, figures and references. Corrected equations. Changed content of some section

    К Π’ΠžΠŸΠ ΠžΠ‘Π£ О Π’Π•ΠžΠ Π•Π’Π˜Π§Π•Π‘ΠšΠ˜Π₯ ΠŸΠžΠ”Π₯ΠžΠ”ΠΠ₯ К ΠžΠ¦Π•ΠΠšΠ• Π”Π•ΠœΠžΠ“Π ΠΠ€Π˜Π§Π•Π‘ΠšΠžΠ™ Π‘Π•Π—ΠžΠŸΠΠ‘ΠΠžΠ‘Π’Π˜

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    The article deals with the theoretical estimates of demographic security issues. Analyzed different approaches to statistical evaluation of demographic security. An original system of statistical indicators of demographic security.Π’ ΡΡ‚Π°Ρ‚ΡŒΠ΅ рассмотрСны тСорСтичСскиС вопросы ΠΎΡ†Π΅Π½ΠΊΠΈ дСмографичСской бСзопасности. ΠŸΡ€ΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Π½Ρ‹ Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Π΅ ΠΏΠΎΠ΄Ρ…ΠΎΠ΄Ρ‹ ΠΊ статистичСской ΠΎΡ†Π΅Π½ΠΊΠΈ дСмографичСской бСзопасности. ΠŸΠΎΡΡ‚Ρ€ΠΎΠ΅Π½Π° ΠΎΡ€ΠΈΠ³ΠΈΠ½Π°Π»ΡŒΠ½Π°Ρ систСма статистичСских ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ дСмографичСской бСзопасности

    БтатистичСский Π°Π½Π°Π»ΠΈΠ· дСмографичСской бСзопасности Российской Π€Π΅Π΄Π΅Ρ€Π°Ρ†ΠΈΠΈ

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    The article examines modern trends in vital statistics of Russia from the viewpoint of threats to national security; it includes quantitative analysis of interaction among demographic components of population change. The authors consider the role that Russia plays in global demographic processes and its position within the largest countries in the world by population size. Using statistical tools the paper evaluates modern trends in reproduction of population in Russia amid revealing demographic threats to the efficient socioeconomic development of the country. It also presents analysis of quantitative as well as qualitative characteristics of population replacement processes, which include total value and rate of childbearing, and quality of gene pool of the population. Statistical analysis of quantitative characteristics of mortality (i.e. indicators of mortality from external causes) served as the foundation for identifying modern trends in natural decrease of population in the Russian Federation.Π’ ΡΡ‚Π°Ρ‚ΡŒΠ΅ с Ρ‚ΠΎΡ‡ΠΊΠΈ зрСния ΠΎΡ†Π΅Π½ΠΊΠΈ ΡƒΠ³Ρ€ΠΎΠ· Π½Π°Ρ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠΉ бСзопасности Ρ€Π°ΡΡΠΌΠ°Ρ‚Ρ€ΠΈΠ²Π°ΡŽΡ‚ΡΡ соврСмСнныС Ρ‚Π΅Π½Π΄Π΅Π½Ρ†ΠΈΠΈ двиТСния народонасСлСния Π² России, осущСствляСтся количСствСнный Π°Π½Π°Π»ΠΈΠ· взаимодСйствия дСмографичСских ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½Ρ‚ измСнСния числСнности насСлСния. ΠžΡ†Π΅Π½Π΅Π½Π° Ρ€ΠΎΠ»ΡŒ России Π² Π³Π»ΠΎΠ±Π°Π»ΡŒΠ½Ρ‹Ρ… дСмографичСских процСссах, Π° Ρ‚Π°ΠΊΠΆΠ΅ мСсто нашСй страны ΠΎΡ‚Π½ΠΎΡΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎ основных ΠΌΠΈΡ€ΠΎΠ²Ρ‹Ρ… Π»ΠΈΠ΄Π΅Ρ€ΠΎΠ² ΠΏΠΎ числСнности насСлСния. Π‘ использованиСм статистичСского инструмСнтария Π΄Π°Π½Π° ΠΎΡ†Π΅Π½ΠΊΠ° соврСмСнных Ρ‚Π΅Π½Π΄Π΅Π½Ρ†ΠΈΠΉ воспроизводства народонасСлСния России Π² контСкстС выявлСния дСмографичСских ΡƒΠ³Ρ€ΠΎΠ· эффСктивного ΡΠΎΡ†ΠΈΠ°Π»ΡŒΠ½ΠΎ-экономичСского развития государства. ΠŸΡ€ΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Π½Ρ‹ ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»ΠΈ, ΠΎΡ‚Ρ€Π°ΠΆΠ°ΡŽΡ‰ΠΈΠ΅ ΠΊΠ°ΠΊ количСствСнныС, Ρ‚Π°ΠΊ ΠΈ качСствСнныС характСристики процСсса замСщСния чСловСчСских рСсурсов страны, Π² Ρ‚ΠΎΠΌ числС ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ Π°Π±ΡΠΎΠ»ΡŽΡ‚Π½ΠΎΠΉ Π²Π΅Π»ΠΈΡ‡ΠΈΠ½Ρ‹ ΠΈ интСнсивности дСтороТдСния, Π° Ρ‚Π°ΠΊΠΆΠ΅ качСства Π³Π΅Π½ΠΎΡ„ΠΎΠ½Π΄Π° популяции. На основС статистичСского Π°Π½Π°Π»ΠΈΠ·Π° количСствСнных характСристик смСртности, Π² Ρ‚ΠΎΠΌ числС ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ, Ρ…Π°Ρ€Π°ΠΊΡ‚Π΅Ρ€ΠΈΠ·ΡƒΡŽΡ‰ΠΈΡ… ΡΠΌΠ΅Ρ€Ρ‚Π½ΠΎΡΡ‚ΡŒ ΠΎΡ‚ Π²Π½Π΅ΡˆΠ½ΠΈΡ… ΠΏΡ€ΠΈΡ‡ΠΈΠ½, выявлСны Ρ‚Π΅ΠΊΡƒΡ‰ΠΈΠ΅ Ρ‚Π΅Π½Π΄Π΅Π½Ρ†ΠΈΠΈ СстСствСнного выбытия насСлСния Российской Π€Π΅Π΄Π΅Ρ€Π°Ρ†ΠΈΠΈ
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