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FASST - FAst Scenario Screening Tool
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The JRC FASST tool

FAst Scenario Screening Tool (FASST) is a JRC developed air quality integrated assessment model to support the design of air pollution abatement policies by means of scenario analysis (van Dingenen et al., 2018). FASST is a scenario screening tool based on source-receptor relationships using as an input annual pollutant emission aggregated at national or regional level to compute atmospheric pollutant concentrations and a broad range of pollutant-related metrics of impacts on:
a) health (mortality, morbidity),
b) agricultural crop yields, and
c) radiative forcing of short-lived climate pollutants.
The tool has recently developed a module to estimate costs associated with the health outcomes (benefits). FASST has been extensively used for many policy-oriented scientific applications.
You find a list of publications here.

FASST web tool

In this site is provided access to a web version of the FASST tool specifically designed to compare a scenario (policy case) with a counterfactual case (baseline). The target policy domains are national to regional air quality policies, or air pollutant scenarios linked to other policy domains (e.g. climate policy). The tool is particularly user-friendly, web-based, flexible, does not require any coding or modelling experience and can be applied from the global to the regional domain. The user can make use of a number of built-in scenario groups or apply custom emission scenarios. To access the web-tool click here.

Publications

Belis, C.A., Matkovic, V., Ballocci, M., Jevtic, M., Millo, G., Mata, E., Van Dingenen, R., 2023
Assessment of health impacts and costs attributable to air pollution in urban areas using two different approaches. A case study in the Western Balkans.
Environment International 182, 108347. doi:10.1016/j.envint.2023.108347
Belis, C.A.; Van Dingenen, R. 2023
Air quality and related health impact in the UNECE region: source attribution and scenario analysis.
Atmospheric Chemistry and Physics. doi:10.5194/acp-23-8225-2023
Pisoni, E., P. Thunis, A. De Meij, J. Wilson, B. Bessagnet, M. Crippa, D. Guizzardi, C. A. Belis, and R. Van Dingenen. 2023
Modelling the Air Quality Benefits of EU Climate Mitigation Policies using Two Different PM2.5-Related Health Impact Methodologies.
Environment International 182, 108347. doi:10.1016/j.envint.2023.108347
Belis, C. A., R. Van Dingenen, Z. Klimont, and F. Dentener. 2022
Scenario Analysis of PM2.5 and Ozone Impacts on Health, Crops and Climate with TM5-FASST: A Case Study in the Western Balkans.
Journal of Environmental Management 319. doi:10.1016/j.jenvman.2022.115738
Dentener, F., L. Emberson, S. Galmarini, G. Cappelli, A. Irimescu, D. Mihailescu, R. Van Dingenen, and M. Van Den Berg. 2020
Lower Air Pollution during COVID-19 Lock-Down: Improving Models and Methods Estimating Ozone Impacts on Crops.
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 378 (2183). doi:10.1098/rsta.2020.0188
Gu, B., L. Zhang, R. V. Dingenen, M. Vieno, H. J. M. V. Grinsven, X. Zhang, S. Zhang, et al. 2021
Abating Ammonia is More Cost-Effective than Nitrogen Oxides for Mitigating PM2.5 Air Pollution.
Science 374 (6568): 758-762. doi:10.1126/science.abf8623
Harmsen, M. J. H. M., P. van Dorst, D. P. van Vuuren, M. van den Berg, R. Van Dingenen, and Z. Klimont. 2020
Co-Benefits of Black Carbon Mitigation for Climate and Air Quality.
Climatic Change 163 (3): 1519-1538. doi:10.1007/s10584-020-02800-8
Kühn, T., K. Kupiainen, T. Miinalainen, H. Kokkola, V. -V Paunu, A. Laakso, J. Tonttila, et al. 2020
Effects of Black Carbon Mitigation on Arctic Climate.
Atmospheric Chemistry and Physics 20 (9): 5527-5546. doi:10.5194/acp-20-5527-202
Sampedro, J., S. J. Smith, I. Arto, M. Gonzàlez-Eguino, A. Markandya, K. M. Mulvaney, C. Pizarro-Irizar, and R. Van Dingenen. 2020
Health Co-Benefits and Mitigation Costs as Per the Paris Agreement Under Different Technological Pathways for Energy Supply.
Environment International 136. doi:10.1016/j.envint.2020.105513
Shindell, D., G. Faluvegi, P. Kasibhatla, and R. Van Dingenen. 2019
Spatial Patterns of Crop Yield Change by Emitted Pollutant.
Earth's Future 7 (2): 101-112. doi:10.1029/2018EF001030
Van Dingenen, R., F. Dentener, M. Crippa, J. Leitao, E. Marmer, S. Rao, E. Solazzo, and L. Valentini. 2018
TM5-FASST: A Global Atmospheric Source-Receptor Model for Rapid Impact Analysis of Emission Changes on Air Quality and Short-Lived Climate Pollutants.
Atmospheric Chemistry and Physics 18 (21): 16173-16211. doi:10.5194/acp-18-16173-2018
Vandyck, T., K. Keramidas, A. Kitous, J. V. Spadaro, R. Van Dingenen, M. Holland, and B. Saveyn. 2018
Air Quality Co-Benefits for Human Health and Agriculture Counterbalance Costs to Meet Paris Agreement Pledges.
Nature Communications 9 (1). doi:10.1038/s41467-018-06885-9
Vandyck, T., S. Rauner, J. Sampedro, E. Lanzi, L. A. Reis, M. Springmann, and R. V. Dingenen. 2021
Integrate Health into Decision-Making to Foster Climate Action.
Environmental Research Letters 16 (4). doi:10.1088/1748-9326/abef8d

Contacts

To contact us please send an e-mail to JRC-FASST@ec.europa.eu.