Algorithm-Program Analysis of Shellfish Gape Activity for Toxic Contaminant Detection in Aquatic Environment

P. V. Gaisky

Marine Hydrophysical Institute of RAS, Sevastopol, Russia

e-mail: gaysky@inbox.ru

Abstract

The paper describes the developed and programmed mathematical algorithms of operational analysis of gape activity of marine (Black Sea mussel Mytilus galloprovincialis) and freshwater (painter's mussel Unio pictorum) mollusks in automated systems of autonomous biomonitoring of general ecotoxicological state of controlled water environments. The algorithms have been developed based on analysis of observations, long-term series of measurement data obtained under field conditions at fresh water intake facilities and coastal marine waters of Sevastopol, and experimental data of laboratory tests for studying the effects of common water toxicants (petroleum derivatives, antiseptics and detergents, ammonia, formalin, alkalis, acids, fertilizers) and abiotic factors (changes in salinity, temperature, illumination, dissolved oxygen, acoustic and vibration effects, electromagnetic field, pH, hydrostatic pressure, flow rate, content of organic and inorganic suspended matter, concentration of marine algoviruses, etc.). The algorithms use indicators of group activity and synchronism of reactions of shellfish biosensors, which form statistical estimates allowing a bioelectronic control system to make a decision and automatically generate an alarm signal. Behavioral models have been developed and programmed. The paper proposes boundary numerical values of calculated parameters of analysis and statistical processing. These values can be based on to provide automatic toxicological control in water environment when using the developed biosensors and bioelectronic complexes.

Keywords

program algorithm, bioelectronic control, bivalve mollusk, biosensor, bioindicator, Unio pictorum, painter's mussel, mussel, algorithmic software, water source, toxic contamination

Acknowledgments

The research was performed under state task on topic no. № АААА-А19-119040590054-4.

For citation

Gaisky, P.V., 2021. Algorithm-Program Analysis of Shellfish Gape Activity for Toxic Contaminant Detection in Aquatic Environment. Ecological Safety of Coastal and Shelf Zones of Sea, (4), pp. 81-94. doi: 10.22449/2413-5577-2021-4-81-94 (in Russian).

DOI

10.22449/2413-5577-2021-3-81-94

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