Situational modelling of oil pollution risks monitored by distributed monitoring
The work is studying the distributed system of natural environment monitoring points. The purpose of the study is to solve two main problems of optimization: a) optimization of risks of emergency events; b) optimal cessation of environmental monitoring, which allows to reduce the costs of observation.
Monitoring of the environment contaminated with petroleum products is relevant. Traditionally used methods and monitoring itself are expensive and technological complex mechanisms, often requiring satellite data.
When studying environmental pollution, it is important to consider situational risks and stochastic irreversible changes in nature. For this purpose, it is necessary to apply the methods and methodology of the system approach, which are used in the article for analysis of complex data structures and entropy of the system. For the informativeness of less long monitoring, it's represented by four main subsystems (capture, operation, selection and decision-making) and evaluated using an information-entropy approach. The work will solve the practical task of monitoring the contaminated environment.
Breiman, L. (1968) Problems about stop rules // Applied combinatorial mathematics. - M.: Mir, pp.159-203.
Crawford, C. (2018) Based Probabilistic Models of Social Interaction // AAMAS-2018, July 10-15, Stockholm, Sweden. p.1735.
Dvadnenko, M.V., Madzhigatov, R.V. & Rakityansky, N.A. (2017) Impact of oil on the environment // International magazine of experimental education, No.3-1, pp.89-90, http://www.expeducation.ru/ru/article/view? id=11244).
Fetisov, D.V., Kolesnikov, A.N. (2018). Monitoring of subsoil use processes based on processing of aerospace images // News of the Tula State University (Technical Sciences series). Issue. 2, Tula: TulGU, pp. 216-226.
Glukhova, L.V., Kaziev, V.M. & Kazieva, B.V. (2018) System rules of financial control and management of innovative business processes of an enterprise. Bulletin of the Volga University named after V.N. Tatishchev, vol.2, No.1, pp.118-126.
Ivanov, U.S., Cherny, D.A., Taseiko, O.V. & Nikulin, T.N. (2019) Differentiated approach to assessment of individual risk of emergencies and accidents. All-Russian Conference with International Participation "Processing of Spatial Data in Tasks of Monitoring of Natural and Anthropogenic Processes" - Berdsk, pp. 354-358.
Kolesenkov, A.N. (2016) Modern approaches to data processing in the construction of geographic information systems of environmental monitoring // News of the TulState University (series "Technical Sciences"). Issue 9. Tula: Tula State University, pp.103-112.
Nicheporchuk, V.V., Shepenkov, A.I. (2018) Architecture of the territorial emergency monitoring system // Informatization and communication, № 2, pp. 35-41.
Shtripling, L.O., Kholkin, E.G. & Larionov, K.S. (2016) The technology refinement of soil decontamination contaminated with petroleum products by the reagent capsulation method // Procedia Engineering, vol.152, pp. 13–17, http://dx.doi. org/10.1016/j.proeng.2016.07.609.