Aerosol Science and Engineering, Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 28, 2024
Language: Английский
Aerosol Science and Engineering, Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 28, 2024
Language: Английский
Sustainability, Journal Year: 2025, Volume and Issue: 17(4), P. 1402 - 1402
Published: Feb. 8, 2025
This paper aims to assess the temporal and spatial variability of particulate matter (PM) concentrations (PM2.5 PM10) at several rural urban monitoring sites located in Portugal between 2011 2022. The exceedances European Union Directive limits World Health Organization (WHO) air quality guidelines were also evaluated. Higher PM observed mainly (e.g., up 156 WHO PM2.5 guideline for daily average recorded a year), with main contributions being from traffic emissions industrial activities. On other hand, lower number can be attributed long-range transport Saharan dust) wildfires. Temporal trends showed that decreased by 0.6 µg/m3 per year, while PM10 reductions reached 1.0 year certain sites, showing effectiveness policies clean technology advancements. Also, like Entrecampos 140 2015 15 Principal component analysis grouped based on variability. These findings provide comprehensive understanding variation concentration, contributing management strategies design mitigation measures.
Language: Английский
Citations
0Published: Jan. 1, 2025
Language: Английский
Citations
0Talanta, Journal Year: 2025, Volume and Issue: unknown, P. 128044 - 128044
Published: March 1, 2025
Language: Английский
Citations
0Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 368, P. 122185 - 122185
Published: Aug. 15, 2024
Language: Английский
Citations
2Atmosphere, Journal Year: 2024, Volume and Issue: 15(11), P. 1302 - 1302
Published: Oct. 29, 2024
Investigating the spatiotemporal variations in Aerosol Optical Depth (AOD) terrestrial ecosystems and their driving factors is significant for deepening our understanding of relationship between ecosystem types aerosols. This study utilized 1 km resolution AOD data from Moderate Resolution Imaging Spectroradiometer (MODIS) Mann–Kendall (M-K) trend test to analyze seven Northern Xinjiang 2001 2023. The geographic detector model was employed investigate effects factors, including gross domestic product, population density, specific humidity, precipitation, temperature, wind speed, soil moisture, elevation, on distribution ecosystems. results indicate that over past 23 years, wetlands had highest annual average values, followed by settlements, farmlands, deserts, grasslands, others, forests, respectively. Furthermore, values decrease with increasing elevation. mean generally shows a fluctuating upward trend. M-K proportion area an settlement (92.17%), while decreasing forest (21.78%). On seasonal scale, grassland, settlement, farmland, forest, wetland exhibit peak spring winter, whereas desert other only show peaks spring. Different different sensitivities factors. Grassland are primarily influenced temperature altitude, most affected speed humidity. Farmlands mainly significantly impacted density predominantly humidity altitude. paper serves as reference targeted air pollution prevention regional ecological environmental protection.
Language: Английский
Citations
0Aerosol Science and Engineering, Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 28, 2024
Language: Английский
Citations
0