Developing Algorithmic Software for Automated Monitoring of Aquatic Environment

Abstract

Many advanced countries are implementing bioelectronic control systems that use living organisms – the so-called biosensors as sensitive elements in environmental monitoring of waters in natural reservoirs and withdrawal points of municipal water systems [1]-[6]. Marine and freshwater bivalves are widely used as biosensors, whose valve motion reflects both short and long-term responses to the abnormal physical properties and chemical composition of water. For many years, we have developed instruments to study the behavior of bivalves [7]-[11]. Algorithmic software for the collection, transmission, accumulation and processing of measurement data is of key importance for the high-quality performance of research tasks and direct monitoring.