Russian Federation
The objective of this study is to update the problems of the lack of effective methods for calculating economic damage resulting from accidental oil spills. The issue of creating new tools to stimulate environmental activities is considered. A comparative analysis of methods of both Russian and foreign origin was carried out, which allow, based on the assessment of the parameters and characteristics of harmful substances, to determine their quantitative indicators, as well as to calculate the economic damage from accidents of this type. The emphasis is placed on the factors that affect the amount of financial losses from oil spills. A statistical array of data on incidents in this area is considered. In addition, it is proposed to create a new methodology with elements of software modeling. The «PISCES II» software environment is considered, which allows to simulate the consequences of the impact of factors affecting the scale of oil spills, thereby increasing the efficiency of not only emergency rescue units, but also organizations responsible for the subsequent assessment of economic damage. Its comparison with the «OILMAP» environment is carried out.
economic damage, marine pollution, damage assessment, oil spill, maritime transport, pipeline, oil tanker, comparative analysis
1. Łeazuga K., Gucma L., Perkovic M. The model of optimal allocation of maritime oil spill combat ships. Switzerland: Sustainability, 2018.
2. O sostoyanii i ispol'zovanii vodnyh resursov Rossijskoj Federacii v 2017 godu: gos. doklad. URL: https://water-rf.ru/water/gosdoc/503.html (data obrashcheniya: 25.11.2022).
3. Li F., Dong H., Liang M. Analysis, treatment and countermeasures on oil spills at sea // IOP Conference Series: Materials Science and Engineering. 2018.
4. Transportation of Oil and Gas / L. Aiden [et al.]. University of Victoria, 2020.
5. Chuhareva N.V. Promyshlennaya i ekologicheskaya bezopasnost' na ob"ektah truboprovodnogo transporta nefti i gaza. URL: https://portal.tpu.ru/ (data obrashcheniya: 15.11.2022).
6. Oil Tanker Spill Statistics 2019. URL: https://www.itopf.org/knowledge-resources/data-statistics/statistics/ (data obrashcheniya: 10.11.2022).
7. Gosudarstvennyj doklad o sostoyanii i ob ohrane okruzhayushchej sredy Rossijskoj Federacii v 2019 godu. URL: https://www.mnr.gov.ru/docs/gosudarstvennye_doklady (data obrashcheniya: 10.11.2022).
8. Neftyanye avarii sluchayutsya kazhdye polchasa: issledovanie real'nyh masshtabov zagryaznenij prirody. URL: https://istories.media/investigations/2020/10/15/neftyanie-avarii-sluchayutsyakazhdie-polchasa-issledovanie-realnikh-masshtabov-zagryaznenii-prirodi (data obrashcheniya: 16.11.2022).
9. Hronologiya krupnejshih sluchaev razliva nefti i nefteproduktov v Rossii. URL: https://tass.ru/info/8641491 (data obrashcheniya: 01.12.2021).
10. Great Escapes: Russia’s Largest Spills. URL: https://www.rferl.org/a/russia-s-largest-spills/30667014.html (data obrashcheniya: 05.12.2022).
11. Ob utverzhdenii metodiki ischisleniya razmera vreda, prichinennogo vodnym ob"ektam vsledstvie narusheniya vodnogo zakonodatel'stva: prikaz Minprirody Rossii ot 13 apr. 2009 g. № 87 (v red. ot 26 avg. 2015 g.). Dostup iz sprav.-pravovoj sistemy «Konsul'tantPlyus».
12. Montewka, J., Weckström, M., Kujala, P. A probabilistic model estimating oil spill clean-up costs - A case study for the Gulf of Finland. Marine Pollution Bulletin, 2013.
13. Metodika opredeleniya ushcherba okruzhayushchej prirodnoj srede pri avariyah na magistral'nyh nefteprovodah: utv. Mintopenergo Ros. Federacii 1 noyab. 1995 g. Dostup iz sprav.-pravovoj sistemy «Konsul'tantPlyus».
14. Cemal Toz A., Buber M. Performance evaluation of oil spill software systems in early fate and trajectory of oil spill: comparison analysis of OILMAP and PISCES II in Mersin Bay spill. Environmental Monitoring and Assessment, 2018.