Sentence examples for forecasting of air from inspiring English sources

The forecasting of air pollutant trends has received much attention in recent years.

Monitoring and forecasting of air quality parameters are popular and important topics of atmospheric and environmental research today due to the health impact caused by exposing to air pollutants existing in urban air.

Due to the health effects caused by airborne pollutants in urban areas, forecasting of air quality parameters is one of the most important topics of air quality research.

During recent years, statistical models based on artificial neural networks (ANNs) have been increasingly applied and evaluated for forecasting of air quality.

Because air pollutants can harm human health (Hong et al. 2011), the forecasting of air pollutant concentrations has received much attention.

In recent decades, air pollution has been considered a serious threat to the environment, the quality of life, and the health of people around the world and forecasting of air quality parameters is the common goal for a great number of researches due to the diseases caused by the different gas pollutants.

Most forecasts of air quality cover two to five days.

Aiming to inform the population about the air they are breathing, several air quality modelling systems have been developed and tested allowing the assessment and forecast of air pollution ambient levels in many countries.

Forecasts of air traffic growth and their interpretation in terms of the requirement for future airport and air traffic system capacity have an important part to play in guiding decisions about transport system design.

For this reason, you often see specific forecasts of air temperature (The high today will be 75 degrees F) and a probability for rainfall (40% chance).

Recently, various structures of the ANN have been developed for improving the forecasting performances of air pollutant concentrations (Bai et al. 2016).