Method for controlling phytoplankton distribution in fresh open water


Moldasheva R. Ismailova A. Turmukhanova G. Mailybayeva A. Yelezhanova S. Zhanuzakova Z. Zhamangara A.
2024Routledge

International Journal of Environmental Studies
2024#81Issue 52130 - 2147 pp.

This paper presents a processed phytoplankton dataset from Lake Zerendi and other Kokshetau Upland lakes, Kazakhstan. The study aimed to develop an automated method for controlling the distribution of phytoplankton in fresh open water using a gradient descent approach with the search for a starting point for research. The paper also presents the reconstructed biomass indicators for changes in water temperature, with model calibration based on results from 5 years of surface sampling. A special feature of the proposed computer data processing is the cubic spline interpolation, which allows a higher calculation accuracy. This method reduces the sample size required, providing a comprehensive picture of the condition of the infrastructure and allowing for a more efficient response to emerging ecosystem issues.

dependence , direction , Ecosystem , initial point , vector

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Department of Information Systems, Faculty of Computer Systems and Vocational Education, S. Seifullin Kazakh Agrotechnical University, Astana, Kazakhstan
Department of Software Engineering, Faculty of Physics, Mathematics and Information Technology, Atyrau University named after Kh. Dosmukhamedov, Atyrau, Kazakhstan
Department of Computer Science, Faculty of Physics, Mathematics and Information Technology, Atyrau University named after Kh. Dosmukhamedov, Atyrau, Kazakhstan
Laboratory of Palaeobotany, Astana Botanical Garden, branch of the Institute of Botany and Phytointroduction, Astana, Kazakhstan

Department of Information Systems
Department of Software Engineering
Department of Computer Science
Laboratory of Palaeobotany

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