About mathematical modeling in limnology, oceanology, ecology and economics in the works of V.V. Menchutkin

T. R. Minina, V. V. Menshutkin, N. N. Filatov
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Abstract

The article gives a brief review of the works of Doctor of Biological Sciences, Prof. V.V. Menshutkin for the 65-year period of scientific activity, which began in the 60s of the XX century with experimental works on the hydrophisics of Lake Baikal and the first mathematical models of the perch population of the small lake Kherya-Yarvi (Karelian Isthmus) and fish community in Lake Dalneye (Kamchatka). The latter was of great practical importance when concluding an agreement with Japan on catch quotas for sockeye salmon.V.V. Menshutkin’s range of interests was very wide and included mathematical modeling in biology, physiology, limnology, oceanology, demography, economics, ecology and rational nature management. The works on research of water objects and processes in them include modeling of dynamics of fish and aquatic invertebrate populations, Antarctic krill. He created mathematical models of ecosystems of Ladoga and Onega lakes, and during oceanic expeditions of the Academy of Sciences — of the Sea of Japan and the Peruvian upwelling area.His research in the field of physiology of blood circulation and water-salt metabolism, works related to space subjects, modeling of diagnostics and treatment of mental diseases are interesting. V.V. Menshutkin paid special attention to the issues of biological evolution. V.V. Menshutkin paid special attention to the issues of biological evolution and modeling of evolutionary process. The mathematical apparatus used by V.V. Menshutkin is very broad. The mathematical apparatus used by V.V. Menshutkin is very wide: from systems of differential equations to finite automata, neural networks, fuzzy logic and cognitive modeling (a new direction in artificial intelligence), with which the studies of ecological-socio-economic systems of water bodies catchments were connected.O.P. Savchuk and V.V. Menshutkin united research methods — mathematical modeling and objects under study: oceans, seas and lakes. However, their only joint work was the collective monograph on the results of “Nevskaya Guba” project, which conclusions became the basis for the important decision to complete the construction of the dam in St. Petersburg.
关于 V.V. 门丘特金作品中的湖沼学、海洋学、生态学和经济学数学建模
这篇文章简要回顾了生物科学博士 V.V. 门舒特金教授 65 年来的科研工作,其科研工作始于二十世纪六十年代,包括贝加尔湖水相学的实验研究,以及第一个关于克里亚-亚尔维小湖(卡累利阿地峡)鲈鱼种群和达尔内耶湖(堪察加半岛)鱼类群落的数学模型。门舒特金的兴趣范围非常广泛,包括生物学、生理学、湖沼学、海洋学、人口学、经济学、生态学和自然合理管理方面的数学建模。研究水体及其过程的著作包括鱼类和水生无脊椎动物种群动态模型、南极磷虾模型。他建立了拉多加湖和奥涅加湖生态系统的数学模型,并在科学院的海洋考察中建立了日本海和秘鲁上升流地区的数学模型。他在血液循环和水盐代谢生理学领域的研究、与空间课题有关的工作、精神疾病的诊断和治疗模型都很有意义。门舒特金特别关注生物进化问题。门舒特金特别关注生物进化和进化过程建模问题。门舒特金使用的数学工具非常广泛。В.В.门舒特金使用的数学工具非常广泛:从微分方程系统到有限自动机、神经网络、模糊逻辑和认知建模(人工智能的一个新方向),水体集水区生态-社会-经济系统的研究与这些工具有关。不过,他们唯一的合作成果是关于 "涅夫斯卡亚-古巴 "项目成果的集体专著,该专著的结论成为在圣彼得堡完成大坝建设的重要决策依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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