Automated Early Warning System for Water Environment Based on Behavioral Reactions of Bivalves

Abstract

In the water environment, we are dealing with a complex mixture of pollutants. Modern monitoring systems, mainly based on the physicochemical methods of monitoring the aquatic environment, cannot quickly determine the full range of pollutants and assess the degree of danger of an agent for the ecosystem and humans. The most effective for solving these problems are bioelectronic (biosensor) systems for automated monitoring of surface waters, in which animals are directly incorporated into the electronic registration system of certain physiological, biochemical, or behavioral biomarkers. Such systems, in contrast to physico-chemical methods of monitoring, allow obtaining an integral toxicological characteristic of the aquatic environment, regardless of the origin and composition of pollutants, and in real time to assess the quality of water as the habitat of hydrobionts. The article presents the results of the development automated biological early warning system for water environment. As the main element of this system, the authors developed a device for automated monitoring of aquatic media (DAMAM) based on the behavioral reactions of bivalve mollusks and computer program kits. In addition, for the implementation of the system, the authors developed software for server and system users.