Scientific and technical journal

«Environmental protection in oil and gas complex»

ISSN 2411-7013

Environmental protection in oil and gas complex
Information and algorithmic support of geo-ecological zoning of oil-contaminated territories

UDC: 502.521
DOI: -

Authors:

MESHALKIN VALERY P.1,
MAKSIMENKO ALEXANDER F.1,
MISHINA OLGA A.2,
OSTAKH SERGEY V.1

1 National University of Oil and Gas "Gubkin University", Moscow, Russia
2 National Association for the Prevention and Response to Oil Spills, Moscow, Russia

Keywords: algorithm, geo-ecological zoning, cluster, methodology, model, migration, oil-contaminated territories, predictive modeling

Annotation:

A method for organizing digitalized geo-ecological zoning of oil-contaminated territories, involving a comparison of identified clusters of observational data and the results of iterative prognostic assessments, is proposed. To substantiate the limiting quantitative indicators and their ordering into relatively homogeneous groups, a methodology for organizing digitalized ecological zoning of oil-contaminated territories is given. The problem-oriented classification of data and the definition for each established zone of a special regime for nature management and environmental protection is applied for geo-ecological zoning. Information and algorithmic support of geo-ecological zoning is based on the clustering of classified data and subsequent predictive-analytical assessment using a unified information system for collecting, processing, storing and using multi-parametric environmental analytical data.

Bibliography:

1. Integral'naya otsenka ustoychivosti landshaftov: modeli, rezul'taty, perspektivy / V.V. Dmitriev, A.N. Ogurtsov, A.S. Morozova [i dr.] // Mezhdunar. zhurn. priklad. i fundament. issled. – 2017. – № 9. – S. 110–114.
2. Yarotskaya E.V., Kovalenko E.V. Podkhody k ekologicheskomu zonirovaniyu territoriy // Colloquium-Journal. – 2019. – № 25-8(49). – S. 22–24.
3. Rudskiy V.V. Kategoriya ekologicheskogo riska v geograficheskikh issledovaniyakh // Fundament. issled. – 2013. – № 10-14. – S. 3153–3156.
4. Kompleksirovanie metodov gidrogeologicheskogo i gidroekologicheskogo prognozirovaniya posledstviy vozdeystviya na litosferu nesanktsionirovano razmeshchennykh otkhodov / S.V. Ostakh, M.P. Papini, P. Chiampi, N.Yu. Ol'khovikova // Zashchita okruzhayushchey sredy v neftegazovom komplekse. – 2020. – № 5(296). – S. 12–20. – DOI: 10.33285/2411-7013-2020-5(296)-12-20
5. Dubrovskaya S.A. Ekologicheskoe zonirovanie territorii goroda Orenburga // Izv. Samarskogo nauch. tsentra RAN. – 2014. – T. 16, № 5. – S. 22–25.
6. Avkhadieva A.A. Ispol'zovanie GIS-tekhnologiy v ekologicheskom kartografirovanii // Molodoy uchenyy. – 2019. – № 31(269). – S. 27–28.
7. Zakharova T.B., Semenova Z.V., Saprykina N.A. Umenie strukturirovat' informatsiyu: sushchnost', senzitivnyy period formirovaniya i kriterii sformirovannosti // Problemy sovremennogo obrazovaniya. – 2016. – № 2. – S. 44–51.
8. Ostakh S.V., Ostakh O.S., Ol'khovikova N.Yu. Kontseptsiya sozdaniya eshelonirovannoy sistemy zashchity prirodno-antropogennykh kompleksov // Ekologiya i prom-st' Rossii. – 2019. – T. 23, № 3. – S. 54–59. – DOI: 10.18412/1816-0395-2019-3-54-59
9. Matematicheskie metody i informatsionnye sistemy analiza vozdeystviya na prirodnuyu sredu neftegazovogo kompleksa / V.P. Meshalkin, R.A. Kantyukov, O.B. Butusov; pri soavt. V.M. Panarina, A.A. Goryunkovoy. – SPb.: Nedra, 2014. – 365 s.
10. Tatarnikov V.V., Pestunov I.A., Berikov V.B. Algoritm usredneniya tsentroidov dlya postroeniya klasternogo ansamblya // Komp'yuternaya optika. – 2017. – T. 41, № 5. – S. 712–718. – DOI: 10.18287/2412-6179-2017-41-5-712-718
11. Badanina N.D., Zinchenko A.A., Sudakov V.A. Ranzhirovanie ob"ektov na osnove nechetkoy klasterizatsii // Preprinty IPM im. M.V. Keldysha. – 2022. – № 68. – S. 1–12.
12. Pestunov I.A., Rylov S.A., Berikov V.B. Ierarkhicheskie algoritmy klasterizatsii dlya segmentatsii mul'tispektral'nykh izobrazheniy // Avtometriya. – 2015. – T. 51, № 4. – S. 12–22.