INFORMATION COMPUTATIONAL SYSTEM FOR ANALYSING THE INFLUENCE OF POLLUTION ON BIOLOGICAL OBJECTS
Abstract
Some aspects of the data-processing system Siberia biosubstrates are considered. The system uses an interface
that provides an opportunity to collect, store and analyze the vast amount of empirical material collected in
Western and Eastern Siberia during 15 years. The core of this material are examples of the regions natives biosubstrates:
blood and hair samples, animal and human food rations, samples of plants, fungi, etc. These materials
are complemented by multi-element composition of atmospheric aerosols. Mathematical algorithms of identifying
correlations between the multielement composition of atmospheric aerosols and various groups biosubstrates are
implemented to analyze and identify the negative impact of pollution from major industrial centers in Siberia.
that provides an opportunity to collect, store and analyze the vast amount of empirical material collected in
Western and Eastern Siberia during 15 years. The core of this material are examples of the regions natives biosubstrates:
blood and hair samples, animal and human food rations, samples of plants, fungi, etc. These materials
are complemented by multi-element composition of atmospheric aerosols. Mathematical algorithms of identifying
correlations between the multielement composition of atmospheric aerosols and various groups biosubstrates are
implemented to analyze and identify the negative impact of pollution from major industrial centers in Siberia.
About the Authors
Yuriy Ivanovich Molorodov
Novosibirsk State University
Russian Federation
Russian Federation
Vsevolod Sergeevich Minkov
Institute of Computational Technologies of the Siberian
Branch of the RAS
Russian Federation
Russian Federation
References
1. Torrence, G. A practical guide to wavelet analysis / G. Torrence, G. P. Compo // Bull.Amer. Meteorol. Soc. - 1998. - Vol. 79. - №. 1.
2. Технология создания распределенных информационно-вычислительных ресурсов СО РАН / О. Л. Жижимов, А. М. Федотов, Л. Б. Чубаров, Ю. И. Шокин // Тр. Первой Межд. конф. САИТ-2005. 12 - 16 сент. 2005 г., Переславль-Залесский. - Т. 2.: Системный анализ и информационные технологии. - М., 2005.
3. The Grid: Blueprint for a New Computing Infrastructure Ed. by I. Foster, C. Kesselman. Morgan Kaufmann Pub. - San Francisco, CA. 1999.
4. Распределенная информационно-вычислительная среда для исследования экологических систем / А. М. Федотов, В. Б. Барахнин, А. Е. Гуськов, Ю. И. Милородов // Вычислительные технологии. - 2006. - Т. 11. - Ч. I.
5. Мониторинг качества атмосферного воздуха для оценки воздействия на здоровье человека. Копенгаген: Региональные публикации ВОЗ // Европейская серия. - 2001. - № 5.
6. ГОСТ 17.2.1.03-84. Охрана природы. Атмосфера. Термины и определения контроля загрязнения.
7. Ефимов, В. М. Многомерный анализ биологических данных / В. М. Ефимов, В. Ю. Ковалева. - СПб, 2008.
8. Matlab vs. Python and NumPy [Электронный ресурс]. - Режим доступа: http://lbolla.info/blog/2007/04/11/ numerical-computing-matlab-vs-pythonnumpyweave/.
9. Performance Python { NumPy [Электронный ресурс]. - Режим доступа: http://scipy.org/PerformancePython.
Review
For citations:
Molorodov Yu.I., Minkov V.S. INFORMATION COMPUTATIONAL SYSTEM FOR ANALYSING THE INFLUENCE OF POLLUTION ON BIOLOGICAL OBJECTS. The Bulletin of Kemerovo State University. 2012;(4-2):89-97. (In Russ.)
Views:
190
Email this article 