Description of radiation conditions and evaluation of the date of ¹³⁷Cs release to the atmosphere using the radionuclide transfer model coupled with the forecasts by the mesoscale hydrodynamic model

© 2016, Allerton Press, Inc.The estimates of 137Cs emissions from the accident happened in Elektrostal at the beginning of April 12, 2013 are presented. The transport of radionuclides and their dry and wet deposition on the surface are computed using the Lagrangian stochastic model of the NOSTRADAMUS software package worked out by Nuclear Safety Institute of Russian Academy of Sciences. Prognostic fields of wind (horizontal and vertical components) in the lower troposphere, precipitation, and vertical and horizontal turbulence diffusivity coefficients in the lower atmosphere (up to 4 km) were used as input data. Prognostic fields were obtained using the WRF-ARW numerical mesoscale model

Decision-aiding tools for remediation strategies.

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System Runs Analysis with Process Mining

Information systems (IS) produce numerous traces and logs at runtime. In the context of SOA-based (service-oriented architecture) IS, these logs contain details about sequences of process and service calls. Modern application monitoring and error tracking tools provide only rather straightforward log search and filtering functionality. However, “clever” analysis of the logs is highly useful, since it can provide valuable insights into the system architecture, interaction of business domains and services. Here we took runs event logs (trace data) of a big booking system and discovered architectural guidelines violations and common anti-patterns. We applied mature process mining techniques for discovery and analysis of these logs. The aims of process mining are to discover, analyze, and improve processes on the basis of IS behavior recorded as event logs. In several specific examples, we show successful applications of process mining to system runtime analysis and motivate further research in this area.The article is published in the authors’ wording

Анализ системных исполнений с помощью Process Mining

Information systems (IS) produce numerous traces and logs at runtime. In the context of SOA-based (service-oriented architecture) IS, these logs contain details about sequences of process and service calls. Modern application monitoring and error tracking tools provide only rather straightforward log search and filtering functionality. However, “clever” analysis of the logs is highly useful, since it can provide valuable insights into the system architecture, interaction of business domains and services. Here we took runs event logs (trace data) of a big booking system and discovered architectural guidelines violations and common anti-patterns. We applied mature process mining techniques for discovery and analysis of these logs. The aims of process mining are to discover, analyze, and improve processes on the basis of IS behavior recorded as event logs. In several specific examples, we show successful applications of process mining to system runtime analysis and motivate further research in this area.The article is published in the authors’ wording.Информационные системы (ИС) оставляют многочисленные следы и журналы событий своей работы. В контексте сервисно-ориентированной архитектуры (СОА) информационной системы такие журналы содержат детальную информацию о последовательностях вызовов процессов и сервисов. Современные инструменты мониторинга приложений и отслеживания ошибок их исполнения предоставляют довольно простые средства поиска и фильтрации журналов событий. Тем не менее, “интеллектуальный” анализ таких журналов событий является крайне полезным, так как может предоставить ценную информацию об архитектуре системы, взаимодействии между бизнес-доменами и сервисами. В работе рассматриваются журналы событий (представляющие данные о системных исполнениях) большой информационной системы поддержки бронирования, на основании данных которых производится обнаружение нарушений архитектурных принципов взаимодействия компонентов и общих антипаттернов СОА. Для анализа этих журналов применяются проверенные подходы дисциплины извлечения и анализа процессов (process mining). Process mining применяется для автоматического синтеза моделей процессов, анализа этих процессов и их улучшения на основе информации о поведении ИС, записанной в виде журналов событий. На базе нескольких конкретных примеров демонстрируется успешное применения подходов process mining для анализа системных исполнений и приводится обоснование необходимости дальнейших исследований в данной области.Статья публикуется в авторской редакции

USA/CIS coordinating committee and its hydrologic studies

The United States and the former Soviet Union (now the Commonwealth of Independent States) have set up the Joint Coordinating Committee on Civilian Nuclear Reactor Safety (JCCCNRS) to enhance safe operation of civilian nuclear reactors. The agreement contains Section 7.1, ``Environmental Transport,`` and Section 7.2 ``Health Impacts.`` Main objectives of the programs under JCCCNRS are to test and improve methodologies, mathematical models, technologies, and techniques need to understand and to more accurately forecast radionuclide behavior in the environment following nuclear power plant accidents. These programs currently focus on problems from the Chernobyl Nuclear Power Plant accident. This paper describes the activities of Program 7.1.F

Description of radiation conditions and evaluation of the date of ¹³⁷Cs release to the atmosphere using the radionuclide transfer model coupled with the forecasts by the mesoscale hydrodynamic model

© 2016, Allerton Press, Inc.The estimates of 137Cs emissions from the accident happened in Elektrostal at the beginning of April 12, 2013 are presented. The transport of radionuclides and their dry and wet deposition on the surface are computed using the Lagrangian stochastic model of the NOSTRADAMUS software package worked out by Nuclear Safety Institute of Russian Academy of Sciences. Prognostic fields of wind (horizontal and vertical components) in the lower troposphere, precipitation, and vertical and horizontal turbulence diffusivity coefficients in the lower atmosphere (up to 4 km) were used as input data. Prognostic fields were obtained using the WRF-ARW numerical mesoscale model

Description of radiation conditions and evaluation of the date of ¹³⁷Cs release to the atmosphere using the radionuclide transfer model coupled with the forecasts by the mesoscale hydrodynamic model

© 2016, Allerton Press, Inc.The estimates of 137Cs emissions from the accident happened in Elektrostal at the beginning of April 12, 2013 are presented. The transport of radionuclides and their dry and wet deposition on the surface are computed using the Lagrangian stochastic model of the NOSTRADAMUS software package worked out by Nuclear Safety Institute of Russian Academy of Sciences. Prognostic fields of wind (horizontal and vertical components) in the lower troposphere, precipitation, and vertical and horizontal turbulence diffusivity coefficients in the lower atmosphere (up to 4 km) were used as input data. Prognostic fields were obtained using the WRF-ARW numerical mesoscale model

Description of radiation conditions and evaluation of the date of ¹³⁷Cs release to the atmosphere using the radionuclide transfer model coupled with the forecasts by the mesoscale hydrodynamic model

© 2016, Allerton Press, Inc.The estimates of 137Cs emissions from the accident happened in Elektrostal at the beginning of April 12, 2013 are presented. The transport of radionuclides and their dry and wet deposition on the surface are computed using the Lagrangian stochastic model of the NOSTRADAMUS software package worked out by Nuclear Safety Institute of Russian Academy of Sciences. Prognostic fields of wind (horizontal and vertical components) in the lower troposphere, precipitation, and vertical and horizontal turbulence diffusivity coefficients in the lower atmosphere (up to 4 km) were used as input data. Prognostic fields were obtained using the WRF-ARW numerical mesoscale model