Abstract. This paper describes, documents, and validates the TM5-FAst Scenario Screening
Tool (TM5-FASST), a global reduced-form air quality source–receptor model
that has been designed to compute ambient pollutant concentrations as well as
a broad range of pollutant-related impacts on human health, agricultural crop
production, and short-lived pollutant climate metrics, taking as input annual
pollutant emission data aggregated at the national or regional level. The
TM5-FASST tool, providing a trade-off between accuracy and applicability, is
based on linearized emission-concentration sensitivities derived with the
full chemistry-transport model TM5. The tool has been extensively applied in
various recent critical studies. Although informal and fragmented validation
has already been performed in various publications, this paper provides a
comprehensive documentation of all components of the model and a validation
against the full TM5 model. We find that the simplifications introduced in
order to generate immediate results from emission scenarios do not compromise
the validity of the output and as such TM5-FASST is proven to be a useful
tool in science-policy analysis. Furthermore, it constitutes a suitable
architecture for implementing the ensemble of source–receptor relations
obtained in the frame of the HTAP modelling exercises, thus creating a link
between the scientific community and policy-oriented users.
Environmental Monitoring of Ambient Outdoor, Indoor Air Quality Pollutants, PM 10 and PM 2.5 Conducted to Evaluate Its Impact Analysis and Quantification in Industrial Area of Dammam, KSA