Evaluation of key indicators based on automatically measured variables and forecasting the spread of pollutants

Abstract

The research in the present work is intended to develop a system for forecasting and warning of the presence of pollutants in the Struma River. To perform continuous measurements of dissolved oxygen concentration (DO) and biochemical oxygen demand (BOD), mathematical dependences are derived for their evaluation by relatively easy measurable variables for river water quality. Mathematical models for DO and BOD have been developed to verify the course of significant reaeration and deoxygenation processes in certain sections of the river. A check was made on the base of data from monitoring measurements and a test of a statistical hypothesis. The absence of indications for these two processes within the studied areas leads to the use of mathematical models of dilution. One-zone and five-zone dilution models have been developed for sections of the river. The models with the same structure and small modifications can be used to predict other basic physicochemical parameters for river water quality.