Journal of Hazardous Materials, Journal Year: 2024, Volume and Issue: 481, P. 136482 - 136482
Published: Nov. 13, 2024
Language: Английский
Journal of Hazardous Materials, Journal Year: 2024, Volume and Issue: 481, P. 136482 - 136482
Published: Nov. 13, 2024
Language: Английский
Environmental Pollution, Journal Year: 2024, Volume and Issue: 361, P. 124869 - 124869
Published: Aug. 30, 2024
Language: Английский
Citations
5The Science of The Total Environment, Journal Year: 2025, Volume and Issue: 968, P. 178787 - 178787
Published: Feb. 18, 2025
Language: Английский
Citations
0International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2025, Volume and Issue: 138, P. 104470 - 104470
Published: March 11, 2025
Language: Английский
Citations
0Urban Climate, Journal Year: 2025, Volume and Issue: 59, P. 102263 - 102263
Published: Jan. 9, 2025
Language: Английский
Citations
0Journal of Urban Mobility, Journal Year: 2025, Volume and Issue: 7, P. 100106 - 100106
Published: Feb. 3, 2025
Language: Английский
Citations
0Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 361 - 381
Published: Jan. 1, 2025
Language: Английский
Citations
0Environmental Research, Journal Year: 2025, Volume and Issue: unknown, P. 121562 - 121562
Published: April 1, 2025
Air pollution poses a significant threat to human health, especially for the vulnerable groups such as children. Given that schools are central their daily lives, ensuring good air quality in these environments is crucial. This study evaluates impact of traffic restriction interventions around by integrating citizen science monitoring data with advanced modeling techniques. From February 4 March 4, 2023, within framework project called "NO2, No Grazie!", NO2 concentrations were measured Milan and Rome (Italy), Italy's two most populated cities, both affected high traffic-related pollution,using passive samplers. The spatial distribution across entire city territories was estimated using Land Use Random Forest (LURF) models. Four scenarios developed alongside business-as-usual one; furthermore, each school characterized social vulnerability its area. In total, 486 samplers analyzed 407 Rome, levels averaging 47.1 μg/m3 42.6 μg/m3, respectively. LURF models explained 64% 53% variability, proximity major predictor. Among 659 1,595 all led reductions. effective scenario reduced 2.7 1.9 on average, maximum observed decreases 11.1 16.1 Schools socioeconomically deprived areas had lower less impacted restrictions. underscores value policies improving schools.
Language: Английский
Citations
0Journal of Hazardous Materials, Journal Year: 2024, Volume and Issue: 481, P. 136482 - 136482
Published: Nov. 13, 2024
Language: Английский
Citations
1