SHERPA (Screening for High Emission Reduction Potential on Air) is a Python tool, which allows for a rapid exploration of potential air quality improvements resulting from national/regional/local emission reduction measures. The tool has been developed with the aim of supporting national, regional and local authorities in the design and assessment of their air quality plans. The tool is based on the relationships between emissions and concentration levels, and can be used to answer the following type of questions: - What is the potential for local action in my domain? - What are the priority activity, sectors and pollutants on which to take action? - What is the optimal dimension that my policy action domain (city, region…) should have to be efficient?
We provide here the data used to create the 2023 Urban PM2.5 Atlas. In this Atlas we computed the contributions to urban PM2.5 in 150 cities, considering both sectoral and geograph...
We provide here the data used to create the 2021 Urban PM2.5 Atlas. In this Atlas we computed the contributions to urban PM2.5 in 150 cities, considering both sectoral and geograph...