Application of multifactor models for forecasting of PSA (phthalic anhydrid) emissions in airplanes

Abstract

In the 21st century, the number of passengers who prefer to travel by air is increasing every year. In the cockpits of modern aircraft supported by various parameters of the internal environment such as pressure, temperature and humidity. The air characteristics in aircraft cabins are similar to the indoor air parameters of residential buildings and office premises. However, aircraft cabins differ buildings in many respects, in particular, space per passenger, the need to seal the cabin, a forced lack of activity during the flight, etc. Modern aircraft are equipped with an Environmental Control System (ECS), which provides safe, comfortable, and healthy flights for both passengers and the crew. Factors affecting the quality of internal air in aircraft can be divided into the following categories: pressure; temperature; humidity; oxygen content; concentration of pollutants in the air of the cockpit. A sudden change in the level of one or more of these factors or the interaction between them can cause a deterioration in the quality of internal air and, therefore, can have a negative effect on the health of passengers and crew. Therefore, research in the field of ensuring air quality in aircraft cockpits is an urgent problem. This paper considers the development of multifactor mathematical models that take into account the influence of aircraft parameters on air quality in the cockpit.