Currently, computer control methods for such complex systems as natural water bodies are in demand. The aim of this work was to model the ecosystem of the shallow water section of the Volgograd reservoir using geoinformation technologies. The criteria for determining shallow water zones are formulated. Geoinformation technologies are used as a tool of ordering and systematization for heterogeneous data obtained in the course of environmental monitoring. We used geocoding to bind model elements to the selected study area. The paper presents an analysis of the basic principles of the model to describe the ecosystem. The main components of the simulated ecosystem and the relationship between them are characterized. The importance of obtaining spatial data for creating a computer model of the ecosystem is explained. The paper uses the author’s hardware that allows describing water bodies using sensors of geolocation and echolocation. The technique of point-by-point scanning of the bottom configuration is described. The method of registration, transmission and processing of this data is shown. The paper describes the work of the author’s software package that allows you to organize the data to create files that can be used in the program Matlab. As a result of the field study, data on the state of the model shallow water area were collected; geodatabases with information about the object under study were created, obtained with the help of hardware. Geoinformation modeling of the shallow section «Black waters» of the left Bank of the Volgograd reservoir near Marx with the use of Matlab tools is carried out. Geoinformation components, graphics and animation, algorithms of simulation modeling of the ecosystem in the study area are implemented. The accelerated change of the ecosystem of this shallow water is noted. The computer model made it possible to establish the relationship between the configuration of the bottom and the transfer of sediments, which entails changes in the ecosystem of the reservoir, such as algae overgrowth. In turn, the increase in the number of aquatic plants leads to waterlogging.

Skorikov Denis Sergeevich, PhD student, DEP. Ecology, Yuri Gagarin State Technical University of Saratov, 77. Politechnicheskaya str., Saratov, Russia, 410054. E-mail: d_skorikov@yahoo.com.

Bobirev Sergey Vladimirovich, Doctor of technical Sciences, Professor. DEP. Ecologies. Yuri Gagarin State Technical University of Saratov, 77 Politechnicheskaya str., Saratov, Russia, 410054. E-mail: d_skorikov@yahoo.com.

Tikhomirova Elena Ivanovna, Doctor of biological Sciences, Professor. Head of caf. Ecologies, Yuri Gagarin State Technical University of Saratov. 77, Politechnicheskaya street, Saratov, Russia, 410054. E-mail: d_skorikov@yahoo.com.

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