Articles | Volume 21, issue 13
https://doi.org/10.5194/acp-21-10825-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-21-10825-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
16 Jul 2021
Research article |
| 16 Jul 2021
| 16 Jul 2021
Measured and modelled air quality trends in Italy over the period 2003–2010
Laboratory of Atmospheric Pollution, Italian National Agency for New Technologies, Energy and Sustainable Economic Development – ENEA, Rome, 00123, Italy
Gino Briganti
Laboratory of Atmospheric Pollution, Italian National Agency for New Technologies, Energy and Sustainable Economic Development – ENEA, Rome, 00123, Italy
Lina Vitali
Laboratory of Atmospheric Pollution, Italian National Agency for New Technologies, Energy and Sustainable Economic Development – ENEA, Rome, 00123, Italy
Antonio Piersanti
Laboratory of Atmospheric Pollution, Italian National Agency for New Technologies, Energy and Sustainable Economic Development – ENEA, Rome, 00123, Italy
Gaia Righini
Laboratory of Atmospheric Pollution, Italian National Agency for New Technologies, Energy and Sustainable Economic Development – ENEA, Rome, 00123, Italy
Massimo D'Isidoro
Laboratory of Atmospheric Pollution, Italian National Agency for New Technologies, Energy and Sustainable Economic Development – ENEA, Rome, 00123, Italy
Andrea Cappelletti
Laboratory of Atmospheric Pollution, Italian National Agency for New Technologies, Energy and Sustainable Economic Development – ENEA, Rome, 00123, Italy
Mihaela Mircea
Laboratory of Atmospheric Pollution, Italian National Agency for New Technologies, Energy and Sustainable Economic Development – ENEA, Rome, 00123, Italy
Mario Adani
Laboratory of Atmospheric Pollution, Italian National Agency for New Technologies, Energy and Sustainable Economic Development – ENEA, Rome, 00123, Italy
Gabriele Zanini
Laboratory of Atmospheric Pollution, Italian National Agency for New Technologies, Energy and Sustainable Economic Development – ENEA, Rome, 00123, Italy
Luisella Ciancarella
Laboratory of Atmospheric Pollution, Italian National Agency for New Technologies, Energy and Sustainable Economic Development – ENEA, Rome, 00123, Italy
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Cited
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- Are we going towards an effective integration of air quality and climate planning? A comparative analysis for Italian regions A. Pilogallo et al. 10.1016/j.jenvman.2024.122138
- Risk factors behind the increase of early-onset cancer in Italian adolescents and young adults: An investigation from the Italian AYA Working group A. Toss et al. 10.1016/j.ejca.2024.115042
- Evaluation of air quality forecasting system FORAIR-IT over Europe and Italy at high resolution for year 2017 M. Adani et al. 10.1016/j.apr.2022.101456
- Lessons learnt for air pollution mitigation policies from the COVID-19 pandemic: The Italian perspective M. D'Isidoro et al. 10.1016/j.apr.2022.101620
- Climate change and air pollution: Translating their interplay into present and future mortality risk for Rome and Milan municipalities M. Michetti et al. 10.1016/j.scitotenv.2022.154680
- A standardized methodology for the validation of air quality forecast applications (F-MQO): lessons learnt from its application across Europe L. Vitali et al. 10.5194/gmd-16-6029-2023
- Dynamic Neural Assimilation: a deep learning and data assimilation model for air quality predictions N. Tučkus et al. 10.1007/s42452-024-05846-w
- Green Public Areas and Urban Open Spaces Management: New GreenCAL Tool Algorithms and Circular Economy Implications S. Cappucci et al. 10.3390/land11060886
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10 citations as recorded by crossref.
- Are we going towards an effective integration of air quality and climate planning? A comparative analysis for Italian regions A. Pilogallo et al. 10.1016/j.jenvman.2024.122138
- Risk factors behind the increase of early-onset cancer in Italian adolescents and young adults: An investigation from the Italian AYA Working group A. Toss et al. 10.1016/j.ejca.2024.115042
- Evaluation of air quality forecasting system FORAIR-IT over Europe and Italy at high resolution for year 2017 M. Adani et al. 10.1016/j.apr.2022.101456
- Lessons learnt for air pollution mitigation policies from the COVID-19 pandemic: The Italian perspective M. D'Isidoro et al. 10.1016/j.apr.2022.101620
- Climate change and air pollution: Translating their interplay into present and future mortality risk for Rome and Milan municipalities M. Michetti et al. 10.1016/j.scitotenv.2022.154680
- A standardized methodology for the validation of air quality forecast applications (F-MQO): lessons learnt from its application across Europe L. Vitali et al. 10.5194/gmd-16-6029-2023
- Dynamic Neural Assimilation: a deep learning and data assimilation model for air quality predictions N. Tučkus et al. 10.1007/s42452-024-05846-w
- Green Public Areas and Urban Open Spaces Management: New GreenCAL Tool Algorithms and Circular Economy Implications S. Cappucci et al. 10.3390/land11060886
- Implementation of an On-Line Reactive Source Apportionment (ORSA) Algorithm in the FARM Chemical-Transport Model and Application over Multiple Domains in Italy G. Calori et al. 10.3390/atmos15020191
- The Role of Vegetation on Urban Atmosphere of Three European Cities. Part 2: Evaluation of Vegetation Impact on Air Pollutant Concentrations and Depositions M. Mircea et al. 10.3390/f14061255
Latest update: 23 Nov 2024
Short summary
We present an analysis of modelled trends of PM10, NO2, and O3 airborne concentrations over the Italian territory in 2003–2010. Our analysis shows a general downward simulated trend for all pollutants, with good agreement between observed and modelled values and the model widening both coverage and significance of air concentration trends. Due to the complex atmospheric dynamics, emission reductions do not always result in decreasing concentrations, especially for secondary pollutants.
We present an analysis of modelled trends of PM10, NO2, and O3 airborne concentrations over the...
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