Sentence examples for air pollution forecasting from inspiring English sources

The air pollution forecasting is a complex issue but is closely related to human health and the environment (Wang et al. 2015).

As a result, the area of air pollution forecasting through empirical methods has gained importance with the availability of sufficient data.

Two of the most reliable and feasible AI techniques that have been used for urban air pollution forecasting are neural networks and fuzzy logic.

The above citations make it clear that when the aim is on air pollution forecasting, any forecast model ought to be better than the pure persistence forecast (i.e. forecasting for tomorrow what occurred today).

The design and the functionality and utilities of the tool reviewed in this paper could be exported and customized to be used by other research centres and institutions who offer services based on operational atmospheric models as routine jobs (MM5, WRF, etc)., as e.g. air pollution forecasting systems, other prevention and emergency response systems, etc.

"When air pollution is high it's vital people with respiratory conditions including asthma check air pollution forecasts, carry their reliever inhaler with them at all times, and ensure that they are taking their preventer inhaler every day because this will help build resilience to asthma triggers like air pollution.

Air pollution forecast is becoming more and more important nowadays.

An operational air pollution forecast system, THOR, is under development.

A new integrated operational air pollution forecast system, the DMU-ATMI THOR air pollution forecast system, has been developed.

Let's imagine a computer program that has been programmed to publish a daily air pollution forecast.

Considering the speed and precision, MBE is a better choice for the air pollution forecast.