Early Diagnosis of Ecosystem Pollution and its Prognosis
Abstract
The discrete model for investigation of dynamics of heavy metals accumulation in rivers of Armenia is considered. One of main issues of studying the water chemical composition in a system with spatial heterogeneities and several sources of pollution is defining local parts with almost equal conditions. The boundaries for local subsystems associated with a point oscillator are identified on multidimensional statistical data for different regions. Long-term monitoring study of the quality and quantity of water in Kura-Araks watershed is used for reference and the model predictions verifying. Based on comparable monitoring data in the region estimation of pollution levels allows application of modeling approach not only to the rivers of Armenia but also to the transboundary rivers of the entire Kura-Araks basin.