DEVELOPMENT OF A METHODOLOGY FOR MODELING THE STATE OF THE WATER ECOSYSTEM BASED ON THE METHODS OF ECOLOGICAL STOICHIOMETRY, TAKING INTO ACCOUNT THE ENERGY APPROACH

The article develops a methodology for modeling the state of food chain aquatic ecosystem in terms biomass growth producers based on ecological energy stoichiometry. research is number sinusoidal functions developed during simulation monthly solar arrival per unit area by latitude. average forecast indicator input southern Ukraine 2518 MJ/m2 very close to results similar applied measurements Odesa. For modeling, latitude 48°23′, inclinations sun each 8 months according astronomical calendar (about 14), as well duration sunny day, and angle incidence reflection sun’s rays water are determined them, taking into account only at noon, changes day (the ranges from 17.5 June 29.26 September). Correction coefficients were derived, percentage ratio days with cyclonic weather, due which there an increase cloudiness waves, was calculated – 638 hours 30 minutes. efficiency photosynthesis main groups phytoplankton organisms calculated, 1.98 % Chlorophyta, 2.38 Cyanophyta, 1.96 Euglenophyta 1.65 all others. overall thus 1.83 %. Taking ​​the mirror, energy, reflection, scattering absorption. photosynthesis, stoichiometric carried out. potential carbon dioxide deposition 2.6 kg/m2 year, oxygen release 1.92 kg/m2, 1.8 kg/m2. This maximum potential. study supplemented derived correction factors toxicological indices environmental safety, ORP Redfield ratio. gives real total square meter 12335.66473 kJ, 773.1266184 g/m2. predictive model yields 577.6 kg/ha year fish, value natural bioproductivity herbivorous fish (505 kg/ha). At stage analysis, it proposed additionally use deduced regularity effect salinity macroliths productivity different soils. basis automation local laid.