"BUTTERFLY EFFECT" AND DETERMINISTIC RESTORATION OF THE ECOSYSTEM OF NATURAL RESERVOIRS BASED ON INCREASING THE POTENTIAL OF MICROALGAE

DOI 10.32651/222-24

Issue № 2, 2022, article № 5, pages 24-29

Section: Problems of efficient management

Language: Russian

Original language title: «ЭФФЕКТ БАБОЧКИ» И ДЕТЕРМИНИРОВАННОЕ ВОССТАНОВЛЕНИЕ ЭКОСИСТЕМЫ ПРИРОДНЫХ ВОДОЕМОВ НА ОСНОВЕ ПОВЫШЕНИЯ ПОТЕНЦИАЛА МИКРОВОДОРОСЛЕЙ

Keywords: ANTHROPOGENIC LOAD, DETERMINATE MODELS, ECOLOGICAL STABILITY OF RESERVOIRS, CHLORELLA VULGARIS POTENTIAL, ALGOLIZATION TECHNOLOGY, COMPUTER PROGRAM

Abstract: Numerous forecasts of the use and development of water resources are not able to contain the fullness of information, to predict the consequences of technogenic processes. Created in the twentieth century, artificial reservoirs - reservoirs, were among the natural transformations, which over time have lost the ability to self-repair and self-purify. Mathematical models of water systems development built on the basis of hydrological, morphological and climatic data are able to predict metabolic processes and determine optimal approaches to their rehabilitation. In deterministic models, the identification of dominant organisms and the determination of conditions for achieving a balance between different groups of microalgae can serve as priority goals. International practice uses physical, chemical and bioengineering methods to restore reservoirs. During the study, it was proved that the most sparing technologies are biological ones. The positive effect of the introduction of green microalgae – Chlorella vulgaris into the reservoirs was confirmed. During the algolization of the bays of the Tsimlyansk reservoir with the Chlorella vulgaris strain IFR No. C-111, the calculated “desirability index” reached 0.71. In the course of the study, a program for the algolization of natural reservoirs (reservoirs) was developed, Certificates of state registration of computer programs were obtained, which will allow the territorial authorities and entrepreneurs to carry out the algolization of reservoirs more efficiently.

Authors: Medvedeva Liudmila Nikolaevna