ANALYSIS OF RISKS TO THE ENVIRONMENTAL SAFETY OF WATER TREATMENT

The paper provides the algorithm for effective recognizing the dangerous factors in water treatment complex systems functioning, caused by possible emergencies and catastrophes or terrorism threats.Environmental safety risks include the emissions of pollutants that lead to the formation of toxic compounds.An important aspect is the impact on the stability of engineering and technical facilities, which can result in accidents and disasters.Anthropogenic factors, earthquakes, and fires cause hazardous changes in the natural environment, disrupting the engineering and geotechnical stability of the foundations of critical infrastructure objects and creating preconditions for emergency situations.The emissions of pollutants from technogenic processes have affected the safety of the environment, air, surface water, and groundwater, and the presence of untreated sewage in rivers has exacerbated environmental risks, as highlighted.Modern environmental monitoring and information processing systems are largely based on artificial intelligence systems in order to guarantee maximum environmental safety.One of the main problems of such systems is identification, which can be solved by using associations and analogies for an appropriate risk assessment process.The search for associations should be done with the help of heuristics.The application of the mentioned heuristics enables a rapid assessment of the scale and degree of terrorism threats to wastewater treatment processes and other complex technical systems.This approach facilitates the early identification of potential issues and ensures effective recognition of situations arising in real conditions due to changes in external factors, recognition system configurations, object behavior parameters, and system objectives.Heuristics are the most effective and flexible tools for formalizing relationships between associations and relationships.The heuristics for minimizing the impact of terrorist threats in water treatment that should be considered when making decisions under unclear and incomplete information are presented.