Труды сотрудников ИВМ СО РАН

/ T. Penkova, W. Froelich // (15 June 2016 through 17 June 2016. - 2016. - Vol. 57. - P241-250, DOI 10.1007/978-3-319-39627-9_21 . -
Аннотация: In this paper we address the problem of modeling and forecasting of wellbeing. First, we apply a graph-based model of a Fuzzy cognitive map to discover cause-and-effect relationships among indicators of well-being. Second, the discovered model is applied to forecast the future state of well-being. The model is constructed using historical multivariate time series containing six consolidated indexes that represent well-being on the considered territory. Experiments with real-world data provided evidence for the usefulness of the proposed approach. Moreover, the interpretation of the obtained FCM graph led to the discovery of unknown dependencies within the data. The analysis of the unknown dependencies requires further research. © Springer International Publishing Switzerland 2016.

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Держатели документа:
Institute of Computational Modelling SB RAS, Krasnoyarsk, Russian Federation
The University of Silesia, ul. Bedzinska 39, Sosnowiec, Poland

Доп.точки доступа:
Penkova, T.; Froelich, W.

/ D. Y. Rogozin [et al.] // Limnologica. - 2017. - Vol. 66. - P12-23, DOI 10.1016/j.limno.2017.06.004 . - ISSN 0075-9511
Аннотация: Saline Lake Shira (Southern Siberia, Russia) was meromictic through the observation period 2002–2015. During the under-ice periods of 2015 and 2016, complete mixing of the water column was recorded for the first time, and hydrogen sulphide temporarily disappeared from the water column of the lake; i.e. in those years the lake turned to holomixis. In the summer of 2015, a sharp increase in chlorophyll a, organic carbon, zooplankton, and phytoflagellates was observed in the lake, which was probably due to the release of nutrients from the monimolimnion. Purple sulfur bacteria completely disappeared from the lake after the first mixing in 2015, and did not reappear despite the restoration of meromixis in 2017. Thus, it was demonstrated that purple sulfur bacteria are sensitive to the weakening of the stratification of Lake Shira. Based on the data of the seasonal monitoring of temperature and salinity profiles over the period 2002–2017, it was presumed that the main cause of deep mixing in 2015 was the weakening of the salinity gradient due to strong wind impact and early ice retreat in the spring of 2014. In addition, it was shown that in previous years a significant contribution to the maintenance of meromixis was made by an additional influx of fresh water, which caused a rise in the lake level in the period 2002–2007. Thus, we identified a relationship between the stratification regime of the lake and the change in its level, which provides valuable information both for the forecast of water quality and for reconstruction of the Holocene climate humidity in this region of Southern Siberia from the sediment cores of Lake Shira. © 2017 Elsevier GmbH

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Держатели документа:
Institute of Biophysics Siberian Branch of Russian Academy of Sciences, Akademgorodok 50-50, Krasnoyarsk, Russian Federation
Siberian Federal University, Svobodny, 79, Krasnoyarsk, Russian Federation
Institute of Computing Modeling Siberian Branch of Russian Academy of Sciences, Akademgorodok 50-44, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Rogozin, D. Y.; Tarnovsky, M. O.; Belolipetskii, V. M.; Zykov, V. V.; Zadereev, E. S.; Tolomeev, A. P.; Drobotov, A. V.; Barkhatov, Y. V.; Gaevsky, N. A.; Gorbaneva, T. B.; Kolmakova, A. A.; Degermendzhi, A. G.

[Текст] : научное издание / Михаил Александрович Курако, Константин Васильевич Симонов // Информатизация и связь. - 2017. - № 2. - С. 81-87 . - ISSN 2078-8320
   Перевод заглавия: APPROXIMATION ALGORITHMS FOR SPECIAL KIND OF DATAББК УДК 550.3

Аннотация: Исследование посвящено разработке алгоритмов для аппроксимации данных наблюдений сложных природных процессов и включает в себя несколько подходов, сочетание которых позволяет аппроксимировать сигналы различной сложности и находить в них скрытые закономерности. Рассматриваемые данные представляют собой данные специ ального вида: наблюдения систем геомониторинга и результаты экспериментальных исследований опасных явлений сейсмической природы. Использование полученной информации о скрытых закономерностях позволяет более эффективно решать задачи восстановления пробелов в данных, экстраполяции сигналов и локального прогноза.
The study focused on the development of algorithms for approximation of observational data of complex natural processes and includes several approaches. The combination of approaches allows to approximate the signals of different complexity and find hidden patterns. The considered data are the data of a special kind: observation of geomonitoring systems and results of experimental studies of natural seismic hazards. The use of the information about the hidden patterns allows you to more effectively solve the problem of recovering gaps in the data, extrapolation of signals and local forecast.

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Держатели документа:
Институт вычислительного моделирования СО РАН
Сибирский федеральный университет

Доп.точки доступа:
Курако, Михаил Александрович; Kurako M.A.; Симонов, Константин Васильевич; Simonov K.V.

/ V. A. Kochnev // International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM : International Multidisciplinary Scientific Geoconference, 2017. - Vol. 17: 17th International Multidisciplinary Scientific Geoconference, SGEM 2017 (29 June 2017 through 5 July 2017, ) Conference code: 130800, Is. 62. - P899-906, DOI 10.5593/sgem2017/62/S28.115 . -
Аннотация: It is known that the movement of the liquid core creates electric currents, inducing a main magnetic field of the planet. The liquid core of the high temperature becomes ionized plasma (plasma), which It is quasi-neutral (not neutral) - by definition. One of the major geodynamo questions: what is the source of strength, causing fluid movement in the core of the planet? Many authors have investigated geodynamo: planetary rotation around its axis, the temperature difference and pressure as well as the Coriolis force. Moffatt (1980), at the end of his book, as expressed the problem mentioned above “… For example, it is not yet known that the ultimate source energy is the basic movements of the Earth’s disk Dynamo”. In this study, the role of the driving forces of the liquid core considered tidal forces created axial rotation of the planet and the influence of external objects (the Sun and planets, satellites). The value of the tidal force on the equator of the planet depends on the radius and the period of the axial rotation of the planet, mass, radius and the orbital period of the satellite around the planet. The paper presents the formula and the results of the calculation of tidal forces and forecast the relative values equatorial magnetic fields of the planets all the planets of the solar system. The interpretation of the results illustrated with drawings. The new version of the dynamo It helps to explain the reasons high intensity magnetic Jupiter's field compared to Saturn’s fields, Uranus and Neptune, and much more Earth field intensity compared with fields of Venus, Mercury and Mars. The calculations of the correlation values the magnetic field at the equator: on the model according to the forecast and observations on the planets. Correlation coefficient is 0.997, that indicates a close relationship observed and estimates fields, and this is indirect evidence of the correctness of the adopted model. © SGEM2017 All Rights Reserved.

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Держатели документа:
Institute of Computational Modelling of the Siberian Branch of the Russian Academy of Sciences, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Kochnev, V. A.

[Текст] : доклад, тезисы доклада / Ю. А. Пономарева, И. Г. Прокопкин, П. В. Белолипецкий // Водные и экологические проблемы Сибири и Центральной Азии : труды III Всероссийской научной конференции с международным участием. - Барнаул : Б. и., 2017. - Т. 1. - С. 171-179 . - ISBN 978-5-9909722-1-6
   Перевод заглавия: Influence oF Krasnoyarsk hydropower station discharge rate on dynamics of phytoplankton population downstream the dam
Аннотация: В результате многолетних натурных наблюдений определены факты влияния повышенной скорости сброса воды через шлюзы плотины Красноярской ГЭС на динамику фитопланктона р. Енисей ниже плотины. Высказано предположение, что механизм влияния данного фактора заключается в следующем: повышенный сброс воды изменяет температуру воды реки в нижнем бьефе, что в свою очередь влияет на динамику численности фитопланктона. Справедливость данного предположения подтверждается данными 2008-2016 гг. Полученные результаты могут быть применены для составления прогнозов динамики фитопланктона в нижнем бьефе в следующие временные периоды.
Using multiyear measurements, we investigated the influence of high flow rates at Krasnoyarsk hydropower station (Krasnoyarsk HPS) on the phytoplankton population of Yenisei River downstream the dam. We propose the hypothesis that flow rate variations change water temperature, which is influencing the phytoplankton dynamics. This hypothesis is verified by measurements conducted in 2008-2016. The results obtained can be used for the forecast of phytoplankton dynamics downstream the dam.

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Держатели документа:
Институт биофизики
Институт вычислительного моделирования СО РАН

Доп.точки доступа:
Пономарева, Ю.А.; Ponomareva Y.A.; Прокопкин, И.Г.; Prokopkin I.G.; Белолипецкий, П.В.; Belolipetsky P.V.; ВОДНЫЕ И ЭКОЛОГИЧЕСКИЕ ПРОБЛЕМЫ СИБИРИ И ЦЕНТРАЛЬНОЙ АЗИИ(2017 ; 28.08 - 01.09 ; Барнаул)
Нет сведений об экземплярах (Источник в БД не найден)

[Текст] : статья / А. М. Лепихин // Охрана труда и техника безопасности на промышленных предприятиях. - 2014. - № 6. - С. 44-49 . - ISSN 2074-8779
   Перевод заглавия: Progress is paid in accidents

УДК

614.8.01

Аннотация: Почему технологии безопасности не всегда успевают за развитием прогресса? И что чаще становится причиной аварий - неисправность техники или безалаберность человека? На эти и многие другие вопросы корреспондента газеты «Наш Красноярский край» Бауэр И. отвечает Лепихин А.М., ведущий специалист в области теории безопасности и риск-анализа сложных систем, эксперт в области промышленной безопасности и оценки риска аварий и чрезвычайных ситуаций природного и техногенного характера.
Why do not safety technologies always catch up with progressive development? And what does more frequently become the reason of accident: faulty equipment or human negligence? These and many other questions are answered by Mr. Lepikhin A. M., leading expert in the fi eld of safety theory and complex systems risks analysis, expert in the fi eld of occupational safety and risk assessment in emergency situations of natural and man-caused nature, in his interview to Bauer I., correspondent of newspaper “Our Krasnoiarsk Region”.

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Держатели документа:
Институт вычислительного моделирования Сибирского отделения РАН (ИВМ СО РАН)
Специальное конструкторско-технологическое бюро «Наука» Красноярского научного центра СО РАН (СКТБ «Наука» КНЦ СО РАН)

Доп.точки доступа:
Лепихин, А.М.; Lepikhin A.M.

/ V. G. Sibgatulin, S. A. Peretokin, A. A. Kabanov, K. V. Simonov // CEUR Workshop Proceedings : CEUR-WS, 2019. - Vol. 2534: 2019 All-Russian Conference ""Spatial Data Processing for Monitoring of Natural and Anthropogenic Processes"", SDM 2019 (26 August 2019 through 30 August 2019, ) Conference code: 156641. - P359-365 . -
Аннотация: The work is devoted to the development of geomonitoring methods for predicting strong earthquakes and assessing the stress-strain state of the geological environment. The results of observations of precursors of various nature in geodynamic polygons in Siberia and the Far East in the period 2007-2018 are presented. Copyright © 2019 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

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Держатели документа:
NP «Environmental Management of Natural Recourses Center», Krasnoyarsk, Russian Federation
Institute of Computational Technologies SB RAS, SDTB «Nauka», Krasnoyarsk, Russian Federation
Institute of Computational Modeling SB RAS, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Sibgatulin, V. G.; Peretokin, S. A.; Kabanov, A. A.; Simonov, K. V.

/ V. V. Nicheporchuk, A. I. Nozhenkov ; ed.: V. V. Lepov [et al.] // 1ST INTERNATIONAL CONFERENCE ON INTEGRITY AND LIFETIME IN EXTREME : ELSEVIER SCIENCE BV, 2019. - Vol. 20: 1st International Conference on Integrity and Lifetime in Extreme (OCT 14-17, 2019, Yakutsk, RUSSIA). - P248-253. - (Procedia Structural Integrity), DOI 10.1016/j.prostr.2019.12.147. - Cited References:17 . - РУБ Engineering, Mechanical + Mechanics

Аннотация: A situational modeling technology of natural and technogenic emergencies is offered. This technology integrates the calculation methods of emergency assessment, methods of analytical processing and dynamic mapping controlled by the expert system. We developed the system model of information-analytical systems of management support of natural and technogenic safety describing informational resources structure, system functioning at the solution of various modeling problems. For the first time, a generic algorithm for assessing the consequences of dangerous situations is implemented. The features of different calculation methods use for assessing the consequences and dynamics of dangerous situations are shown. The spatial analysis is used for scales assessment, the forecast of events dynamics and formation of the available emergency forces. We use the knowledge base to form the list and priority of accident elimination tasks, protection actions and the resources requirement. The offered technology implements a comprehensive support security control of the territories. As the experience of situational modeling systems operation in the Krasnoyarsk region has shown, to improve the management of emergency response processes, its necessary to solve the problems of maintaining up-to-date operational monitoring data, characteristics of territories, facilities, infrastructure, as well as registers of rescue units, equipment and resources. We justified the need of iterative knowledge bases update of scenarios actions in dangerous situations by analysis of already occurred events. (C) 2019 The Authors. Published by Elsevier B.V.

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Держатели документа:
RAS, ICM SB, 50-44 Akademgorodok, Krasnoyarsk 660036, Russia.

Доп.точки доступа:
Nicheporchuk, V. V.; Nozhenkov, A. I.; Lepov, V.V. \ed.\; Rousakis, T... \ed.\; Samuel, B.M. \ed.\