Air Quality Responses to Lockdowns in China Cities: Insights from Additive Model and Transfer Learning DOI Open Access

Yuchen Ji,

Xiaonan Zhang, Yueqian Cao

et al.

Authorea (Authorea), Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 5, 2024

The impact of the COVID-19 lockdown on air quality in seven major Chinese cities was investigated by utilizing long-term datasets pollutants and meteorological conditions from 2016 to 2021. Generalized additive model (GAM) developed predict during period. accounting for weather demonstrated high accuracy with predictions compared against measurements lockdown. Significant reductions NO₂, CO, PM₁₀ concentrations were observed primarily due decreased vehicular traffic industrial activities. Notable particularly evident volumes emissions prior study also employed transfer learning enhance limited data. Despite occasional anomalies caused specific events like fireworks agricultural burning, findings suggest that extended training periods advanced modeling techniques can significantly improve predictions. This research highlights potential benefits sustained human activities provides valuable insights future management policy-making.

Language: Английский

High-Resolution Tracking of Aging-Related Small Molecules: Bridging Pollutant Exposure, Brain Aging Mechanisms, and Detection Innovations DOI Creative Commons

Keying Yu,

Soo In Yang,

H.-P. Song

et al.

Biosensors, Journal Year: 2025, Volume and Issue: 15(4), P. 242 - 242

Published: April 11, 2025

Brain aging is a complex process regulated by genetic, environmental, and metabolic factors, increasing evidence suggests that environmental pollutants can significantly accelerate this interfering with oxidative stress, neuroinflammation, mitochondrial function-related signaling pathways. Traditional studies have focused on the direct damage of macromolecules (e.g., proteins, DNA), while central role senescence-associated small molecules ROS, PGE2, lactate) in early regulatory mechanisms has been long neglected. In study, we innovatively proposed cascade framework "small molecule imbalance-signaling pathway dysregulation-macromolecule collapse", which reveals exacerbate dynamics brain through activation NLRP3 inflammatory vesicles inhibition HIF-1α. Meanwhile, to address technical bottleneck spatiotemporal monitoring, paper systematically reviews cutting-edge detection tools such as electrochemical sensors, genetically encoded fluorescent probes antioxidant quantum dots (AQDs). Among them, AQDs show unique advantages real-time monitoring ROS fluctuations intervention virtue their ultra-high specific surface area, controllable modification, free radical scavenging ability. By integrating multimodal techniques mechanism studies, work provides new perspective for analyzing pollutant-induced lays methodological foundation strategies based networks.

Language: Английский

Citations

0
Urban Air Quality Shifts in China: Application of Additive Model and Transfer Learning to Major Cities DOI Creative Commons

Yuchen Ji,

Xiaonan Zhang,

Yueqian Cao

et al.

Toxics, Journal Year: 2025, Volume and Issue: 13(5), P. 334 - 334

Published: April 24, 2025

The impact of reduced human activity on air quality in seven major Chinese cities was investigated by utilizing datasets pollutants and meteorological conditions from 2016 to 2021. A Generalized Additive Model (GAM) developed predict during reduced-activity periods rigorously validated against ground station measurements, achieving an R2 0.85–0.93. Predictions were compared the observed pollutant reductions (e.g., NO2 declined 34% 2020 vs. 2019), confirming model reliability. Transfer learning further refined accuracy, reducing RMSE 32–44% across when benchmarked real-world data. Notable declines Beijing (42%), Changchun (38%), Wuhan (36%), primarily due decreased vehicular traffic industrial activity. Despite occasional anomalies caused localized events such as fireworks (Beijing, February 2020) agricultural burning (Changchun, April 2020), our findings highlight strong influence urban quality. These results offer valuable insights for designing long-term pollution mitigation strategies policies.

Language: Английский

Citations

0
Air pollution and safety incidents: a Health policy case study with property and violent incidents in Medellín, Colombia, 2017–2019 DOI Creative Commons
Alfonso Rojas-Álvarez

International Journal of Urban Sustainable Development, Journal Year: 2025, Volume and Issue: 17(1), P. 20 - 43

Published: Jan. 30, 2025

Language: Английский

Citations

0
Air Quality Responses to Lockdowns in China Cities: Insights from Additive Model and Transfer Learning DOI Open Access

Yuchen Ji,

Xiaonan Zhang, Yueqian Cao

et al.

Authorea (Authorea), Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 5, 2024

The impact of the COVID-19 lockdown on air quality in seven major Chinese cities was investigated by utilizing long-term datasets pollutants and meteorological conditions from 2016 to 2021. Generalized additive model (GAM) developed predict during period. accounting for weather demonstrated high accuracy with predictions compared against measurements lockdown. Significant reductions NO₂, CO, PM₁₀ concentrations were observed primarily due decreased vehicular traffic industrial activities. Notable particularly evident volumes emissions prior study also employed transfer learning enhance limited data. Despite occasional anomalies caused specific events like fireworks agricultural burning, findings suggest that extended training periods advanced modeling techniques can significantly improve predictions. This research highlights potential benefits sustained human activities provides valuable insights future management policy-making.

Language: Английский

Citations

0