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Home » Archive of journals » No. 2(30) 2018 » A current state and forecasting of the socio-ecological-economic system of the White sea watershed with use of cognitive simulation

A CURRENT STATE AND FORECASTING OF THE SOCIO-ECOLOGICAL-ECONOMIC SYSTEM OF THE WHITE SEA WATERSHED WITH USE OF COGNITIVE SIMULATION

JOURNAL: No. 2(30) 2018, p. 4-17

HEADING: Economics and management in the Arctic zone

AUTHORS: Menshutkin, V.V., Filatov, N.N., Druzhinin, P.V.

ORGANIZATIONS: St. Petersburg Economics and Mathematics Institute of the RAS, Northern Water Problems Institute of the Karelian Research Centre of the RAS

DOI: 10.25283/2223-4594-2018-2-4-17

UDC: 556.51:556.5.072 (268.46)

The article was received on: 11.04.2018

Keywords: population, climate, water catch, environment, forecasting, social system, economy of White sea area, cognitive model, management

Bibliographic description: Menshutkin, V.V., Filatov, N.N., Druzhinin, P.V. A current state and forecasting of the socio-ecological-economic system of the White sea watershed with use of cognitive simulation. Arctic: ecology and economy, 2018, no. 2(30), pp. 4-17. DOI: 10.25283/2223-4594-2018-2-4-17. (In Russian).


Abstract:

A cognitive model has been developed that reflects the dynamics of the environment, the economic and social processes taking place in the regions of the catchment area of the White Sea. The influence of climate change, the peculiarities of economic activity on the environment (to the sea ecosystems and the catchment area) and the living of the population of the RF subjects of the catchment area of the White Sea (Beloe more) are considered. The features of the economical development of the regions are shown, which are determined by the dynamics of investments, while in the northern regions of the catchment area of the White Sea in the 90s of the XX century they decreased by 5-10 times, and only two regions of the catchment (Vologda and Arkhangelsk regions) by 2010 reach the pre-reform level. The remaining regions received investments about half as much as in 1990. The current state and changes in the social sphere and the environment are considered, which depends on the amount of pollution, the supply of nutrients to the catchment and to the sea, as well as emissions to the atmosphere formed both in the catchment area, and cross-border transfers. The model is designed to predict at a qualitative level of the ongoing changes of the complex socio-ecological and economical system, under different scenarios of natural climatic changes and economical activities. This can serve as a basis for constructing a system of quantitative models, for developing of decision support systems to achieve sustainable development of the socio-economic system of the regions.


Finance info: Работа по созданию основ когнитивной модели была частично выполнена по гранту РФФИ № 16-06-00442, а комплексные исследования состояния и динамики социальных, эколого-экономических процессов и явлений на водосборе — в рамках госзадания ИВПС КарНЦ РАН № АААА-А18-118032290034-5 «Закономерности изменений экосистем Белого моря при интенсификации освоения Арктической зоны региона и под влиянием изменений климата».

References:
  1. Integrirovannoe upravlenie vodnymi resursami Sankt-Peterburga i Leningradskoi oblasti: Opyt sozdaniya sistemy podderzhki prinyatiya reshenii. [Integrated water resources management in St. Petersburg and the Leningrad region. Experience in creating a decision support system]. Pod red. A. F. Alimova, L. A. Rukhovtsa, M. M. Stepanova. St. Petersburg, 2001, 419 p. (In Russian).
  2. Menshutkin V. V. Iskusstvo modelirovaniya (ekologiya, fiziologiya, evolyutsiya). [The art of modeling (ecology, physiology, evolution)]. St. Petersburg, Petrozavodsk, 2010, 416 p. (In Russian).
  3. Edsel D. B., Camp J. V., LeBoeuf E. J., Penrod J. R., Dobbins J. P., Abkowitz M. D. Watershed Modeling and its Applications: A State-of-the-Art Review. The Open J. of Hydrology, 2011, no. 5, pp. 26—50.
  4. Alimov A. F., Alekseev A. P., Berger V. Ya. Marikul’tura kak sposob uvelicheniya promyslovykh Resursov Belogo morya. [Mariculture as a way to increase the commercial resources of the White Sea. Bulletin of the Russian Academy of Sciences]. Vestn. RAN, 2008, vol. 78, no. 9, pp. 792—799. (In Russian).
  5. Matishov G. G. Kompleksnye issledovaniya protsessov, kharakteristik i resursov rossiiskikh morei Severo-Evropeiskogo basseina. [Complex research of processes, characteristics and resources of the Russian seas of the North European basin]. Apatity, 2004, 555 p. (In Russian).
  6. Filatov N. N., Georgiev A. P., Efremova T. V., Nazarova L. E., Pal’shin N. I. Ruhovec L. A., Tolstikov A. V., Sharov A. N. Response of lakes in Eastern Fennoscandia and Eastern Antarctica to climate changes. Doklady Earth Sciences, 2012, vol. 444, no. 2, рр. 752—755.
  7. Lazhentsev V. N. Sever Rossii: al’ternativy na budushchee. [North of Russia: alternatives for the future]. Sovrem. proizvod. sily, 2013, no. 2, pp. 115—124. (In Russian).
  8. Granberg A. G. Makroekonomika evropeiskogo Severa Rossii. [Macroeconomics of the European North of Russia]. Ekonomika Severo-Zapada: problemy i perspektivy razvitiya, 2002, no. 4, pp. 3—10. (In Russian).
  9. Zharov V. S., Ivanova M. V. Problemy upravleniya sotsial’no-ekonomicheskim razvitiem regionov Arktiki. [The Problems of managing the socio-economic development of the Arctic regions]. Vestn. Murm. gos. tekhn. un-ta, 2015, no. 3, pp. 393—400. (In Russian).
  10. Filatov N. N., Druzhinin P. V., Terzhevik A. Yu. Belomor’e — region dlya resheniya aktual’nykh problem Arktiki. [Belomorie is the region of the Arctic challenges solving]. Arktika: ekologiya i ekonomika, 2011, no. 2, pp. 90—101. (In Russian).
  11. Beloe more i ego vodosbor pod vliyaniem klimaticheskikh i antropogennykh faktorov. [The White Sea and its watershed under the influence of climatic and anthropogenic factors]. Otv. red. N. N. Filatov, A. Yu. Terzhevik. Petrozavodsk, IVPS KarNTs RAN, 2007,335 p. (In Russian).
  12. Isachenko A. G. Vvedenie v ekologicheskuyu geografiyu. [Introduction to ecological geography]. St. Petersburg, Izdat. dom SPbGU, 2003, 192 p. (In Russian).
  13. Mediko-geograficheskii atlas Rossii “Prirodnoochagovye bolezni”. [Medico-geographical atlas of Russia “Natural Focal Illnesses”]. Pod red. S. M. Malkhazovoi; Geogr. fak. MGU. Moscow, 2015, 208 p. (In Russian).
  14. Baranov N. S. Strategicheskoe znachenie Severa dlya ekonomiki Rossii. [The strategic importance of the North for the Russian economy]. Obshchestvo i parvo, 2014, no. 3 (49), pp. 297—301. (In Russian).
  15. Malinetskii G. G., Manenkov S. K., Mitin N. A., Shishov V. V. Kognitivnyi vyzov i informatsionnye tekhnologii. [Cognitive Challenge and Information Technology]. Ekon. strategii, 2011, vol. 13, no. 7—8 (93—94), pp. 68—79. (In Russian).
  16. Buslenko N. P., Kalashnikov N. N., Kovalenko I. N. Lektsii po teorii slozhnykh sistem: Uchebnoe posobie. [Lectures on the theory of complex systems. Textbook]. Moscow, Sovet. radio, 1973, 441 p. (In Russian).
  17. Kondrat’ev S. A. Formirovanie vneshnei nagruzki na vodoemy: problemy modelirovaniya. [Formation of an external load on reservoirs: modeling problems]. St. Petersburg, Nauka, 2007, 255 p. (In Russian).
  18. Strashkraba M., Gnauk A. Presnovodnye ekosistemy: Matematicheskoe modelirovanie. [Freshwater ecosystems. Mathematical modeling]. Moscow, Mir, 1989, 376 p. (In Russian).
  19. Moiseev N. N. Chelovek, sreda, obshchestvo. Problemy formal’nogo opisaniya. [Man, environment, society. Problems of formal description Science]. Moscow, Nauka, 1982, 240 p. (In Russian).
  20. Velichkovskii B. M. Kognitivnaya nauka. Osnovy psikhologii poznaniya. [Cognitive science. Fundamentals of the psychology of cognition]. Moscow, Akademiya, 2006, 448 p. (In Russian).
  21. Kulinich A. A. Razrabotka printsipov i metodov postroeniya programmnykh sistem podderzhki prinyatiya reshenii v slabostrukturirovannykh situatsiyakh na osnove modelirovaniya znanii eksperta. [Development of principles and methods for constructing software decision support systems in weakly structured situations on the basis of modeling expert knowledge]. Dis. ... kand. tekhn. nauk. In-t problem upravleniya RAN. Moscow, 2003, 150 p. (In Russian).
  22. Paklin N. B. Nechetko-kognitivnyi podkhod k upravleniyu dinamicheskimi sistemami. [A fuzzy-cognitive approach to the management of dynamic systems]. Iskusstv. intellect, 2003, no. 4, pp. 342—348. (In Russian).
  23. Pospelov D. A. Modelirovanie rassuzhdenii: Opyt analiza myslitel’nykh aktov. [Modeling reasoning. Experience in the analysis of mental acts]. Moscow, Radio i svyaz’, 1989, 184 p. (In Russian).
  24. Roberts S. F. Diskretnye matematicheskie modeli s prilozheniem k sotsial’nym, biologicheskim i ekologicheskim zadacham. [Discrete mathematical models with application to social, biological and ecological problems]. Moscow, Fizmatgiz, 1997, 497 p. (In Russian).
  25. Armand A. D. Informatsionnye modeli prirodnykh kompleksov. [Information models of natural complexes]. Moscow, Nauka, 1975, 126 p. (In Russian).
  26. Melikhov A. N. Orientirovannye grafy i konechnye avtomaty. [Oriented graphs and finite automata]. Moscow, Nauka, 1971, 416 p. (In Russian).
  27. Menshutkin V. V. Populyatsiya ryb kak konechnyi Avtomat. [Population of fish as a finite automaton]. Struktura i dinamika populyatsii i soobshchestv vodnykh zhivotnykh. Kiev, Naukova dumka, 1967, pp. 167—175. (In Russian).
  28. Rutkovskii L. Metody i tekhnologii iskusstvennogo intellekta. [Methods and technologies of artificial intelligence]. Moscow, Telekom, 2010, 496 p. (In Russian).
  29. Menshutkin V. V. Pomekhoustoichivost’ ekologicheskoi sistemy vodokhranilishcha (model’noe issledovanie). [Noise immunity of the ecological system of the reservoir (model study)]. Tr. In-ta biologii vnutr. vod, 2003, no. 1, pp. 3—8. (In Russian).
  30. Druzhinin P. V., Shkiperova G. T. Ecological and economic models and predictions in the regional management system. Studies on Russian economic development, 2012, vol. 23, nо. 2, рр. 66—72.
  31. Menshutkin V. V., Minina T. R. Kognitivnaya model’ vzaimodeistviya chelovecheskogo obshchestva s ekologicheskoi sistemoi vodoema. [Kognitivnaya model of interaction of human society with the ecological system of the reservoir]. Regional’naya ekonomika i razvitie territorii. Sbornik nauchnykh statei IPRE RAN. Vol. 1 (11). St. Petersburg, 2017, pp. 160—166. (In Russian).
  32. Tatarkin A. I., Loginov V. G. Estimation of potential for natural resources and production in northern and arctic areas: conditions and prospects for use. Studies on Russian economic development, 2015, vol. 26, nо. 1, рр. 22—31.

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DOI 10.25283/2223-4594