Development of a spatial­dynamical model of the structure of clumps of toxic cyanobacteria for biosafty purposes

Olena Vуsotska,Andrii Porvan,Kostiantyn Nosov,Anna Pecherska,Marine Georgiyants,Victoriya Shekhovtsova,Sergey Pavlov,Andrii Solodovnikov,Tetiana Klochko,Yurii Balym

doi:10.15587/1729-4061.2018.150273

Abstract

We have devised a spatialdynamic model that describes the structure of clusters of toxic cyanobacteria over large water areas. The application of the constructed model has been demonstrated in order to identify the structure of a cluster in digital photographs. The character of bioproductive processes that define the risk of accumulation of toxic microorganisms is determined by a series of parameters that can be measured remotely using aerospace methods (taking photographs). The proposed model, based on a digital image, makes it possible to restore the spatialdynamic pattern of clusters by determining the state of bioproductive processes in different parts of the cluster. Information about such states is of great importance in order to optimize measures for eliminating the threat of toxicity. Development of a given spatiallydynamic model is related to the need to identify the structure of clusters of toxic cyanobacteria in water areas in order to eliminate the threats to biosecurity. Such clusters are extremely complex objects and are not reproduced by either theoretical or fullscale models. The constructed spatialdynamic model makes it possible to discover a dynamic pattern of bioproductive processes in different parts of the accumulation of microorganisms. The applied significance of the results obtained is associated with increasing the effectiveness of measures for elimination of the threat of toxicity; in other words, given the model that we constructed, it becomes possible to detect the most effective plots in terms of eliminating the threat. The result of employing the model to the digital images of toxic cyanobacteria agrees well with the hydrobiological realization of this type of objects

Highlights

At present, global climate change and the increased impact of mankind on nature pose numerous threats to biosecurity
A spatial-temporal model often has higher predictive qualities than the purely statistical model. This allows us to suggests that the spatial-dynamic model of a cyanobacteria cluster, provided the adequate choice of a dynamic process that defines the properties of a given object, would make it possible to obtain a model that could accurately enough reproduce production processes within clusters of toxic cyanobacteria (CTC)
Application of the proposed spatial-dynamical model would implement the benefits of remote sensing methods in the above-mentioned emergencies, when it is necessary under time constraints to decide on tactics and strategy to deal with CTC

Summary

Pecherska PhD*

S. Pavlov PhD, Professor Central research laboratory** V. Klochko Senior Lecturer Department of Chemistry, Ecology and Expertise Technology National Aerospace University “Kharkiv Aviation Institute” Chkalov str., 17, Kharkiv, Ukraine, 61070 A. Kharkiv National Medical University Nauky ave., 4, Kharkiv, Ukraine, 61022 *Department of Information Control System Kharkiv National University of Radio Electronics Nauky ave., 14, Kharkiv, Ukraine, 61166 **Kharkiv Medical Academy of Postgraduate Education Amosova str., 58, Kharkіv, Ukraine, 61176

Introduction

Literature review and problem statement

The aim and objectives of the study

Findings

Conclusions