A Transdisciplinary Analytical System for Supporting the Environmental Researches

Abstract

AbstractThe subject of the research is the creation of information technologies for the analysis and interpretation of data about the level and specifics of man-made environmental impact. The relevance of the development and implementation of such information technologies was substantiated. The main aspects of man-caused impact and efficiency of contact and remote methods of data acquisition on the ecological situation within the framework of environmental monitoring were analyzed. The method of calculation of multi-parametric dynamic correlation is developed for the analysis and interpretation of ecological datasets. Mathematical framework of the proposed approach is Pearson correlation coefficient calculating. The proposed method is implemented in the form of information technology and tested on the example of a long-term array data analysis on water pollution in Ukraine. Test locations for method implementation are situated in the river basin of Ustia, Rivne region and river basin of Prut, Chernivtsi region. Proposed approach and developed software for its use can become a part of analytical system for support of environmental researches. The concept of transdisciplinary integration of information about environmental situation and their scientifically substantiated interpretation in problems of ecological management on the basis of geographic information technologies were offered. This concept provides a scientific basis for the structure of a promising system of information support for management decisions in the field of environmental safety and nature management. Such a system should include both subsystems for collecting environmentally important information based on monitoring data and methods for its interpretation and complex assessment of the environmental situation in the researched territory. The implementation of such a system is optimal based on the use of a wide range of geographic information systems technology.KeywordsEnvironmental safetyMan-caused impactMulti-parameter dynamic correlationEnvironmental monitoringRemote sensing technologyGeographic information system