Spatial-time Modelling of the Dynamics of Phytoplankton Development in the Ecosystem of the Kuibyshev Reservoir
DOI:
https://doi.org/10.17308/geo/1609-0683/2023/4/140-149Keywords:
Kuibyshev reservoir, eutrophication, phytoplankton biomass, biogenic elements, water quality, hydrodynamics, mathematical modelingAbstract
The purpose is to identify quantitative features of the formation of phytoplankton biomass fields in the water area of the Kuibyshev reservoir using a simulation model of the phosphorus system. Materials and methods. The numerical 2D model of the phosphorus system was developed with a spatial step of 200 meters. The model explains the transport and transformation of phosphorus in the reservoir ecosystem and allows us to evaluate the spatiotemporal dynamics of phytoplankton development, taking into account the unsteady flow regime, water temperature field convection, detritus particle transport, and the development of bacterioplankton and zooplankton communities. Results and discussion. Results are discussed of model calculations of the dynamics of currents, distribution fields of water temperature, phytoplankton biomass and concentration of mineral phosphorus in the Kuibyshev reservoir using the example of the growing season of 2016. The spatial distribution of phytoplankton in diff erent phases of the reservoir water mass warming is shown. A twofold increase in phytoplankton biomass and a decrease in mineral phosphorus content along the main axis of the reservoir from the headwaters to the dam of the Zhiguli hydroelectric were noted. Conclusion. The calculations satisfactorily reproduce the data of field observations and qualitatively correctly describe the seasonal course of phytoplankton development in the reservoir. This allows the developed model to be used to solving problems of rational use of natural resources under the influence of anthropogenic factors and climate change.
References
Buldovskaya O. R., Leonov A. V. Formalizaciya metabolicheskih funkcij fitoplanktona i modelirovanie dinamiki form fosfora v presnovodnyh ekosistemah [Formalization of metabolic functions of phytoplankton and modeling the dynamics of phosphorus forms in freshwater ecosystems]. Vodnyye resursy, 1997, vol. 24, no. 1, pp. 97-110. (in Russ)
Buldovskaya O. R. Transformaciya soedinenij fosfora v presnovodnyh ekosistemah [Transformation of phosphorus compounds in freshwater ecosystems]: cand. geo. sci. diss. Moscow: Moscow State University, 1998. 240 p. (in Russ)
Datsenko Yu. S., Puklakov V. V. Modelirovanie razvitiya fitoplanktona v Mozhajskom vodohranilishche [Modeling the development of phytoplankton in the Mozhaisk reservoir]. Vestnik MGU. Serya Geography, 2010, no. 3, pp. 43-47. (in Russ)
Dorofeev V. L., Sukhikh L. I. Izuchenie dolgovremennoj izmenchivosti ekosistemy CHernogo morya na osnove assimilyacii dannyh distancionnyh izmerenij v chislennoj modeli [Study of long-term variability of the Black Sea ecosystem based on the assimilation of remote sensing data in a numerical model]. Vodnyye resursy, 2019, vol. 46, no. 1, pp. 58-69. (in Russ)
Changes in reservoir levels of the RusHydro HPP. Available at. – URL: http://www.rushydro.ru/hydrology/informer/
Korneva L. G. Fitoplankton vodohranilishch bassejna Volgi [Phytoplankton of reservoirs in the Volga basin]. Kostroma: Kostroma Printing House, 2015. 284 p. (in Russ.)
Kujbyshevskoe vodohranilishche (nauchno-informacionnyj spravochnik) [Kuibyshev reservoir (scientific information reference book)]. Togliatti: IEVB RAN, 2008. 123 p. (in Russ)
Leonov A. V. Modelirovanie prirodnyh processov na osnove imitacionnoj gidroekologicheskoj modeli transformacii soedinenij C, N, P, Si [Modeling of natural processes on the basis of a hydroecological simulation model of the transformation of compounds C, N, P, Si]. Yuzhno-Sakhalinsk, SakhGU, 2012. 148 p. (in Russ)
Modelirovanie sezonnoj izmenchivosti morskoj ekosistemy v rajone central'no-vostochnoj Atlantiki [Modeling the seasonal variability of the marine ecosystem in the region of the Central-East Atlantic] / V. A. Gorchakov, V. A. Ryabchenko, N.A. Diansky, A. V. Gusev. Oceanology, 2012, vol. 52, no. 3, pp. 348-361. (in Russ)
Rakhuba A. V. Imitatsionnoe modelirovanie rosta biomassy fitoplanktona v Kuybyshevskom vodokhranilishche [Simulation of the phytoplankton biomass growth in the Kuibyshev Reservoir]. Vodnoye khozyaystvo Rossii: problemy, tekhnologii, upravleniye, 2018, no. 1, pp. 76-87. (In Russ)
Rakhuba A. V. Prostranstvenno-vremennaya izmenchivost' kachestva vod Saratovskogo vodohranilishcha v usloviyah neustanovivshegosya gidrodinamicheskogo rezhima (Naturnye eksperimenty i chislennoe modelirovanie) [Spatial and temporal variations in the water quality of the Saratov Reservoir under the conditions of an unsteady hydrodynamic regime: Field experiments and numerical modeling]: сand. tech. sci. diss. Yekaterinburg: RosNIIVKh, 2007. 188 p. (In Russ)
Tskhai A. A., Ageikov V. Yu. Modelirovanie izmeneniya urovnya evtrofirovaniya vodohranilishcha na osnove vosproizvedeniya biogeohimicheskih ciklov [Modeling the change in the level of eutrophication of the reservoir based on the reproduction of biogeochemical cycles]. Vodnyye resursy, 2020, vol. 47, no. 1, pp. 105-113. (in Russ)
Korpinen P., Kiirikki M., Rantanen P., Inkala A., Sarkkula J. High resolution 3D-ecosystem model for the Neva Bay and Estuary – model validation and future scenarios. Oceanologia, 2003, no. 45 (1), pp. 67-80.
Ménesguen A., Lacroix G. Modelling the marine eutrophication: A review. Science of The Total Environment, September 2018, v. 636, pp. 339-354
Theil H. Appliied economic forecasting. Amsterdam, 1971. 256p.
Thoman R. V., Di Toro D. M., Winfield R. P., O’Connor D. J. Mathematical modeling of phytoplankton in Lake Ontario. New York: Manhattan College, 1975. 124 p.
