Improvement of the monitoring system and the assessment of a long-term population exposure to pollutant substances in the environment using neural networks

Application of classic environmental monitoring systems does not provide complete information for the assessment of health risk to the population exposed to pollutant substances in the real-time. The aim of the project is to determine the territorial risk during the long-term exposure of the population to pollutant substances, according to the improved environmental quality monitoring system and advanced methodologies for health risk assessment. These goals will be achieved through the integration of the data on the measurements carried out in the environmental quality monitoring system and the data gathered by predicting the concentration fields of pollutant substances. Therefore, the subject of the research is: development of the methodology for the assessment of population exposure to pollutants using neural networks; development and implementation of modular automatic measurement information system for measuring and monitoring different ecologic parameters, depending on the sensors used in different areas; and development of the local register for emission and transmission of pollutant substances in air, water and/or soil. Anticipated project results are: methodological framework for territorial health risk assessment during the long-term exposure of the population to pollutants in urban areas; local register for pollutant emission and transmission with adequate databases; and modular automatic measuring information system for environmental quality monitoring.