Abstract
This article presents the results of processing measurement signals obtained at the output of a multi-sensor water quality monitoring system. Signal processing was implemented using a developed mathematical model designed for evaluating multi-parameter data. It was established that the developed model is feasible and allows for the identification of intersystem associative relationships between data from a multi-parameter water quality monitoring system. For the first time, positive and significant associative relationships were identified, characterizing processes unique to the aquatic environment. The developed mathematical model can be widely applied to processing measurement signals from a multi-sensor water quality monitoring system.