Sentence examples for air pollution forecasting systems from inspiring English sources

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.

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.

A new operational air pollution forecast system, THOR, has been developed at the National Environmental Research Institute, Denmark.

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 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 aim of the system is to produce 2 3 days air pollution forecasts, twice every day, from European scale to local (street) scale, for the most important harmful air pollution species.

The system is designed to automatically produce 3 days air pollution forecasts of the most important air pollution species on different scales on a continuous basis.

The system is designed to automatically produce 3 days air pollution forecasts of some of the most important air pollution species on different scales and on a continuous basis.