Differential game of fish kill prevention in shallow waterbodies

We build and investigate a differential game of fish kill prevention in shallow waterbodies. The algorithms are suggested for information structures Г1x and Г2x in dynamic Germeier games. The problem is solved numerically by the developed parallel algorithm, which considers the structure of a supercomputer with distributed memory. The proposed algorithm uses the k-means method and essentially reduces calculation time. The above models and routines are used to forecast the change in biomass volume of biological populations in shallow waterbodies considering the requirements of sustainable development.