MATHEMATICAL FOUNDATIONS OF ALGORITHMIZATION OF WATER POLLUTION MODELING PROCESSES

. The paper considers the actual task of developing mathematical foundations for algorithmization of the processes of modeling pollution of reservoirs. In the course of long – term studies of the distribution of phytoplankton of the Kokshetau lakes group, in particular, Lakes Zerendi, Kopa, Shalkar, Imantau, measurements of chemical parameters of water, organoleptic properties, transparency were carried out. These data were used to detail individual results and construct forecast values that depend on fluctuations in indicators that characterize the state of hydrobiota. In modeling, a lake is considered as a complex system, and surface sampling points are considered as sources of information about the state of a water body at certain time intervals. The solution of the task is carried out by constructing a critical area, and the incoming information is ranked by the level of significance. The hypothesis is the statement that a certain forecast value is accepted if it enters a certain critical area limited by the values that are determined as a result of experimental measurements. The advantage of the proposed approach is the possibility of simultaneous comparison of the influence of many factors, as well as the use of both empirical and theoretical frequencies. This approach to algorithmization