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PROBLEMS OF EVALUATION AND FORECASTING OF THE BIOSYSTEMS STATES

Mykola Odrekhivskyy

First published: 2019-06-20https://doi.org/10.5593/sgem2019/6.1/s25.111View metrics

Abstract

Model for a change of the biosystems states on the grounds of Markov chains is offered in the work. One of the main problems of management of the biosystems states is the study of the mechanisms, which determine dynamic features of the processes, taking place in the natural environment. Therefore, there is a necessity in the development of special methods, allowing to study dynamic properties of natural objects without subjecting them to ruination. Naturally, a mathematical modeling method may satisfy this demand at the highest level. In such event, a mathematical model is a key tool of the study of the complex systems, which is used for receipt of necessary information about real study objects. System for management of the biosystems states also offered in this work. This gives the possibility to diagnose, evaluate and forecast biosystems states, take optimal managing decisions concerning the change of their functioning, minimization of the negative impact of anthropogenic activity on the natural environment. Adequacy of the developed model is confirmed by the results of the experimental studies of the concentration of oil products, polluting soils of Boryslav oil deposit.

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Publication details

Title
PROBLEMS OF EVALUATION AND FORECASTING OF THE BIOSYSTEMS STATES
Authors
Mykola Odrekhivskyy
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 19th International Multidisciplinary Scientific GeoConference SGEM2019, Nano, Bio, Green and Space: Technologies for Sustainable Future
Publisher
STEF92 Technology
Year
2019
Pages
859-866
SWS Citekey
Odrekhivskyy201925859866
ISSN
1314-2704
ISBN
978-619-7408-88-1
Language
en
Publication type
Conference Paper
Keywords
References6
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  3. Aïchi H., Fouad Y., Walter C., Rossel R., Chabaane Z., Sanaa M. Regional predictions of soil organic carbon content from spectral reflectance measurements. Biosystems engineering, Vol. 104, Issue 3, pp. 442-446, 2009.

  4. Koski, T. Hidden Markov models for bioinformatics. Springer Science & Business Media. Vol. 2, 2001.

  5. Franchuk G., Radomska M. Estimation of soil pollution by petroleum products due to the activity of filling stations. Transaction of National Academy of Science of Ukraine, Issue 1, pp. 46-49, 2009.

  6. Bodachivska L., Pop G. Restoration of territories contaminated with oil and petroleum products. Proc. of I-st International Ukrainian Congress of Ecologists, 4-7 October 2006, Vinnytsa, Ukraine pp. 254.

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Number of times cited according to Crossref: 1

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