Decision-Making Procedures in Environmental Monitoring Systems

Abstract

The environmental monitoring regime can foresee decision-making situations in real time based on the data accumulated up until the moment of the decisionmaking or as a result of the prior data analysis without correlation to the current time. Statistical analysis of the events accompanying the functioning of the monitoring system can be realized by means of many methods, the applicability of which is determined in each case by the probable combination of parameters characterizing the process studied. However, nonstationary and parametrical uncertainty demand a search for new methods capable of making the decision using fragmentary time and space data. These kinds of methods are proposed by a sequential analysis and evolutionary technology (Bukatova et al. 1991; Krapivin et al. 1997b; Nitu et al. 2000b).