Developing effective air quality planning strategies through innovative multi-scale modelling

Expected Outcome:Project results are expected to contribute to all of the following outcomes:  public authorities obtain access to enhanced and innovative modelling capabilities to support air quality planning at various policy levels in a coherent way;society benefits from improved governance processes and effective air quality planning strategies, aiming at mitigating air pollution and reducing population exposure, as well as from far more targeted air pollution alerts;public authorities, including EU policy-makers and the EEA, receive faster, more comprehensive scientific evidence and tools, enabling more effective EU air quality policy implementation and providing citizens with reliable, detailed information and peak pollution warnings to reduce health impacts. Scope:The air we breathe is often polluted, which can lead to serious health problems and even premature death. To address this public health issue, it is essential to understand how pollutants move and interact in the air at different scales, from regional to street level and at different time periods during the day or in different seasons. However, current models used to predict air quality have limitations, particularly in terms of their grid resolution levels and their limited ability to accurately capture the complex interactions between different scales. This can lead to uncertainties and inaccuracies in assessing and predicting air quality, making it challenging to develop and take effective measures to improve air quality.This topic aims to improve these capabilities by developing a chain of innovative integrated models, relatively easy to use and interpret, that can simulate the air quality situation in different scales and types of areas, including at ‘micro-scale’, and by integrating a temporal-scale dimension, also taking into account emissions into the ambient atmosphere from indoor environments. This should support the development of effective air quality planning strategies at various level