| Инд. авторы: | Барт А.А., Старченко А.В., Фазлиев А.З., Царьков Д.В. |
| Заглавие: | Информационно-вычислительная система трехслойной архитектуры для представления прогнозируемых значений загрязнения городского воздуха источниками антропогенной и биогенной эмиссии |
| Библ. ссылка: | Барт А.А., Старченко А.В., Фазлиев А.З., Царьков Д.В. Информационно-вычислительная система трехслойной архитектуры для представления прогнозируемых значений загрязнения городского воздуха источниками антропогенной и биогенной эмиссии // CITES-2015. - 2015. - Томск: Томский центр научно-технической информации. - С.133-137. - ISBN: 978-5-89702-389-9. |
| Внешние системы: | РИНЦ: 25744264; |
| Реферат: | eng: Impurities in the surface layer of the atmosphere appear due to both biogenic and anthropogenic pollution. Information about the pollution sources, their type, location, and modes of operation and understanding of the processes occurring in the atmosphere are necessary to control the air quality. In addition, the air quality in cities is influenced by meteorological conditions that determine the formation of air pollution. At present, the prediction distribution of the parameters of the atmospheric processes contributes by new high-performance hardware and original methods of computation. Traditionally important are computational problems that characterize the state of the atmosphere. Additionally the information tasks related to the presen- tation and integration of information resources on a regional scale are beginning to play an important role. In this paper we consider both computational and informational aspects of building informational-computational system (ICS) «UnIQuE» using three-layer architecture In the Semantic Web approach the interpretation of the terms «data», «linked data» and «ontology» is as- sociated with the semantics of formal languages (XML, RDF and OWL). Moreover, this interpretation leads to the use of the terms «data and applications layer», «information layer» and «layer of knowledge», introduced by e-Science [2] to describe the infrastructure of information resources and information systems. ICS «UnIQuE» is designed to calculate the concentrations of impurities contaminating the air in the atmo- spheric boundary layer, and to present properties of the results of the calculation in the form of data, informa- tion and knowledge both for researchers and software agents. Data and applications layers of the system consist of the mathematical model described in [1] and corre- sponding data (global meteorological forecast and emission sources description) respectively. A novel feature of the IСS «UnIQuE» is an ontological representation of the results predicted by the nu- merical model of impurity transport with consideration of chemical reactions. In this paper ontology is a logical theory that describes the levels of the atmospheric boundary layer above the city. The main purpose of the knowledge layer of the ICS «UnIQuE» is to classify properties of the solutions of the short-term air quality forecast problem. In particular that allows the user to perform semantic search of reli- able air quality forecasts with a high degree of credibility. The system performs the classification of levels of the boundary layer and parts largest concentrations of impurities and the degree of coincidence of the measured and predicted data is performed using OWL 2 DL reasoner FaCT++ [3]. In order to be able to reason about the data comparison, FaCT++ was extended with additional reasoning facilities. |
| Издано: | 2015 |
| Физ. характеристика: | с.133-137 |
| Конференция: | Название: Международная молодежная школа и конференция по вычислительно-информационным технологиям для наук об окружающей среде Аббревиатура: CITES-2015 Город: Томск Страна: Россия Даты проведения: 2015-06-26 - 2015-06-30 |
| Цитирование: | 1. Беликов Д. А., Старченко А. В. Численная модель турбулентного переноса примеси в пограничном слое атмосферы // Оптика атмосферы и океана. 2007. Т.20. №8. C. 667-673. 2. Толстых М. А., Богословский Н. Н., Шляева А. В., Юрова А. Ю. Полулагранжева модель атмосферы ПЛАВ //Гидрометцентр России 80 лет. М: Триада. 2010. С. 193-216. 3. Guenther A., Karl T., Harley P., Wiedinmyer C., Palmer P. I.,Geron C. Estimates of global terrestrial isoprene emissions using MEGAN (model of emissions of gases and aerosols from nature) //Atmo- spheric Chemistry and Physics. 2006. № 6. P. 3181-3210. 4. Stockwell W. R., Gollif W. S. Comment on «Simulation of a reacting pollutant puff using an adaptive grid algorithm» by R. K. Srivastava et al. //J. Geophys. Res. 2002. V. 107. P. 4643-4650. 5. De Roure D., Jennings N., Shadbolt N. A Future e-Science Infrastructure / Report commissioned for EPSRC/DTI Core e-Science Programme. 2001. 78 p. 6. Tsarkov D., Horrocks I. FaCT++ Description Logic Reasoner: System Description // Int. Joint Conf. on Automated Reasoning (IJCAR 2006). 2006. V. 4130. P. 292-297. |
