38 citations as recorded by crossref.

1. Reducing biomass burning is key to decrease PM2.5 exposure in European cities S. Zauli-Sajani et al. 10.1038/s41598-024-60946-2
2. The global and regional air quality impacts of dietary change M. Springmann et al. 10.1038/s41467-023-41789-3
3. PM2.5 wintertime sensitivity to changes in NOx, SO2, and NH3 emissions in Lombardy Region L. Colombo et al. 10.1007/s11869-024-01519-0
4. Co-benefits of transport demand reductions from compact urban development in Chinese cities X. Fu et al. 10.1038/s41893-024-01271-4
5. Modeling non-linear changes in an urban setting: From pro-environmental affordances to responses in behavior, emissions and air quality M. Hulkkonen et al. 10.1007/s13280-022-01827-8
6. Revisiting Total Particle Number Measurements for Vehicle Exhaust Regulations B. Giechaskiel et al. 10.3390/atmos13020155
7. A machine learning-based ensemble model for estimating diurnal variations of nitrogen oxide concentrations in Taiwan A. Asri et al. 10.1016/j.scitotenv.2024.170209
8. Long-Term COVID-19 Restrictions in Italy to Assess the Role of Seasonal Meteorological Conditions and Pollutant Emissions on Urban Air Quality G. Gualtieri et al. 10.3390/atmos13071156
9. Sensitivity of air quality model responses to emission changes: comparison of results based on four EU inventories through FAIRMODE benchmarking methodology A. de Meij et al. 10.5194/gmd-17-587-2024
10. A Numerical Study of Reducing O3 and Pm2.5 Simultaneously in Taiwan M. Chuang et al. 10.2139/ssrn.4074922
11. Assessing the impacts and feasibility of emissions reduction scenarios in the Po Valley L. Colombo et al. 10.3389/fenvs.2023.1240816
12. Modelling the Impact of the Introduction of the EURO 6d-TEMP/6d Regulation for Light-Duty Vehicles on EU Air Quality A. de Meij et al. 10.3390/app12094257
13. Agrimonia: a dataset on livestock, meteorology and air quality in the Lombardy region, Italy A. Fassò et al. 10.1038/s41597-023-02034-0
14. Rapid PM2.5-Induced Health Impact Assessment: A Novel Approach Using Conditional U-Net CMAQ Surrogate Model Y. Lee et al. 10.3390/atmos15101186
15. Global sensitivities of reactive N and S gas and particle concentrations and deposition to precursor emissions reductions Y. Ge et al. 10.5194/acp-23-6083-2023
16. Optimal reactive nitrogen control pathways identified for cost-effective PM2.5 mitigation in Europe Z. Liu et al. 10.1038/s41467-023-39900-9
17. Source contribution analysis of PM2.5 using Response Surface Model and Particulate Source Apportionment Technology over the PRD region, China Z. Li et al. 10.1016/j.scitotenv.2021.151757
18. A multi-year source apportionment of PM2.5 at multiple sites in the southern Po Valley (Italy) F. Scotto et al. 10.1016/j.apr.2021.101192
19. Application of Machine Learning to Estimate Ammonia Atmospheric Emissions and Concentrations A. Marongiu et al. 10.3390/air2010003
20. Underestimated benefits of NOx control in reducing SNA and O3 based on missing heterogeneous HONO sources S. Zhang et al. 10.1007/s11783-024-1790-y
21. Impact of NOx and NH3 Emission Reduction on Particulate Matter across Po Valley: A LIFE-IP-PREPAIR Study G. Veratti et al. 10.3390/atmos14050762
22. Monitoring ammonia concentrations in more than 10 stations in the Po Valley for the period 2007–2022 in relation to the evolution of different sources C. Colombi et al. 10.3389/fenvh.2024.1249457
23. Assessment of the sensitivity of model responses to urban emission changes in support of emission reduction strategies B. Bessagnet et al. 10.1007/s11869-023-01469-z
24. Global impacts of aviation on air quality evaluated at high resolution S. Eastham et al. 10.5194/acp-24-2687-2024
25. Ambitious nitrogen abatement is required to mitigate future global PM2.5 air pollution toward the World Health Organization targets Y. Guo et al. 10.1016/j.oneear.2024.08.007
26. Measurement report: Source attribution and estimation of black carbon levels in an urban hotspot of the central Po Valley – an integrated approach combining high-resolution dispersion modelling and micro-aethalometers G. Veratti et al. 10.5194/acp-24-10475-2024
27. Simulating nitrate formation mechanisms during PM2.5 events in Taiwan and their implications for the controlling direction M. Chuang et al. 10.1016/j.atmosenv.2021.118856
28. A case study of surface ozone source contributions in the Seoul metropolitan area using the adjoint of CMAQ A. Kashfi Yeganeh et al. 10.1080/10962247.2024.2361021
29. PM2.5 Neutrality goals: the role of government strengthen and digitalization in BRICS Countries F. Liu et al. 10.1007/s11869-024-01592-5
30. Spatiotemporal modelling of $$\hbox {PM}_{2.5}$$ concentrations in Lombardy (Italy): a comparative study P. Otto et al. 10.1007/s10651-023-00589-0
31. Study on Spatio-Temporal Evolution Law and Driving Mechanism of PM2.5 Concentration in Changsha–Zhuzhou–Xiangtan Urban Agglomeration W. Chen et al. 10.3390/su142214967
32. Comparison of the Three Approaches for Determining Ammonia Emissions in the Intensive Breeding of Fattening Pigs with Respect to the Integrated Pollution Prevention and Control: Case Study for the Czech Republic R. Kunes et al. 10.3390/atmos13122084
33. A numerical study of reducing the concentration of O3 and PM2.5 simultaneously in Taiwan M. Chuang et al. 10.1016/j.jenvman.2022.115614
34. Atmospheric reduced nitrogen: Sources, transformations, effects, and management C. Driscoll et al. 10.1080/10962247.2024.2342765
35. Ozone pollution during the COVID-19 lockdown in the spring of 2020 over Europe, analysed from satellite observations, in situ measurements, and models J. Cuesta et al. 10.5194/acp-22-4471-2022
36. Hysteresis response of wet nitrate deposition to emission reduction in Chinese terrestrial ecosystems Y. Xi et al. 10.1016/j.atmosenv.2021.118555
37. An approach to inform air quality management through receptor source apportionment and thermodynamic modelling of fine particulate matter in Red Deer, Alberta, Canada Y. Aklilu et al. 10.1016/j.atmosres.2022.106583
38. Impacts of agriculture on PM10 pollution and human health in the Lombardy region in Italy S. Renna et al. 10.3389/fenvs.2024.1369678