The problem of incompleteness and unreliability of the information provided within the framework of functioning of the automated information management systems in emergency situations at chemically hazardous objects is solved in different ways. The most important characteristics of the automated information management systems are the accuracy and speed of modeling contamination zones. In this connection, the tasks are topical related to the development of methods and implementing them algorithms. They allow for predicting and visualizing on the map chart the maximum possible contamination zones with minimum input data already at the initial stage of an accident. Previously were developed and presented the express-method and algorithmic support for predicting maximum possible contamination zone depending on the amount of hazardous chemicals with a relative error of no more than 8.4 % for the compressed gases at the minimum amount of input data.
The results are presented concerning the development of the express-method for predicting the depth of maximum possible contamination zone depending on the type and amount of hazardous chemical, which is compressed gas, and the time passed from the beginning of the accident. Determination of the function of contamination zone depth is justified depending on the equivalent amount of hazardous chemicals and the harmful substance. Theoretical fundamentals of express-method and the results of calculations required for predicting the contamination zone with harmful substances primary cloud are presented in the article. The methods for predicting the depth of the maximum possible contamination zone with harmful substances that are compressed gases is illustrated by examples.
Database is created for the calculation of the maximum possible contamination zone with harmful substances that are compressed gases, which is integrated into the previously developed software. The software allows to predict the maximum possible area of contamination with both hazardous chemicals and harmful substances that are compressed gases.