Characterization and Source Apportionment Analysis of PM2.5 and Ozone Pollution over Fenwei Plain, China: Insights from PM2.5 Component and VOC Observations

Toxics, Journal Year: 2025, Volume and Issue: 13(2), P. 123 - 123

Published: Feb. 6, 2025

PM2.5 and volatile organic compounds (VOCs) have been identified as the primary air pollutants affecting Fenwei Plain (FWP), necessitating urgent measures to improve its quality. To gain a deeper understanding of formation mechanisms these pollutants, this study employed various methods such HYSPLIT, PCT, PMF for analysis. Our results indicate that FWP is primarily impacted by from southern Shaanxi mass northwestern during winter. In contrast, summer, it mainly influenced O3 originating mass. Specifically, high-pressure fronts are dominant weather pattern pollution in FWP, while backs predominately pollution. Regarding sources PM2.5, secondary nitrates, vehicle exhausts, sulfates major contributors. As compounds, liquefied petroleum gas sources, solvent usage, industrial emissions sources. This holds crucial scientific significance enhancing regional joint prevention control mechanism pollution, provides support formulating effective strategies control.

Language: Английский

---

Spatio-temporal variations of PM2.5 and O3 in China during 2013–2021: Impact factor analysis

Environmental Pollution, Journal Year: 2023, Volume and Issue: 334, P. 122189 - 122189

Published: July 12, 2023

Language: Английский

---

Cooperative simultaneous inversion of satellite-based real-time PM2.5 and ozone levels using an improved deep learning model with attention mechanism

Environmental Pollution, Journal Year: 2023, Volume and Issue: 327, P. 121509 - 121509

Published: March 24, 2023

Ground-level fine particulate matter (PM2.5) and ozone (O3) are air pollutants that can pose severe health risks. Surface PM2.5 O3 concentrations be monitored from satellites, but most retrieval methods retrieve or separately disregard the shared information between two pollutants, for example due to common emission sources. Using surface observations across China spanning 2014-2021, we found a strong relationship with distinct spatiotemporal characteristics. Thus, in this study, propose new deep learning model called Simultaneous Ozone inversion neural Network (SOPiNet), which allows daily real-time monitoring full coverage of simultaneously at spatial resolution 5 km. SOPiNet employs multi-head attention mechanism better capture temporal variations based on previous days' conditions. Applying MODIS data over 2022, using 2019-2021 construct network, simultaneous retrievals improved performance compared retrieving them independently: R2 increased 0.66 0.72 PM2.5, 0.79 0.82 O3. The results suggest near-real time satellite-based quality by different related pollutants. codes its user guide freely available online https://github.com/RegiusQuant/ESIDLM.

Language: Английский

---

Underestimation of biomass burning contribution to PM2.5 due to its chemical degradation based on hourly measurements of organic tracers: A case study in the Yangtze River Delta (YRD) region, China

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 872, P. 162071 - 162071

Published: Feb. 11, 2023

Language: Английский

---

Analysis of spatiotemporal variation and relationship to land use – landscape pattern of PM2.5 and O3 in typical arid zone

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 113, P. 105689 - 105689

Published: July 23, 2024

Language: Английский

---

Characterization of winter PM2.5 source contributions and impacts of meteorological conditions and anthropogenic emission changes in the Sichuan Basin, 2002–2020

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 947, P. 174557 - 174557

Published: July 6, 2024

Language: Английский

---

Estimating high-resolution PM2.5 concentration in the Sichuan Basin using a random forest model with data-driven spatial autocorrelation terms

Journal of Cleaner Production, Journal Year: 2022, Volume and Issue: 380, P. 134890 - 134890

Published: Oct. 31, 2022

Language: Английский

---

Enhanced catalytic activity of toluene oxidation over in-situ prepared Mn3O4-Fe2O3 with acid-etching treatment

Catalysis Communications, Journal Year: 2022, Volume and Issue: 174, P. 106581 - 106581

Published: Dec. 9, 2022

Mn3O4-Fe2O3 composite catalysts are in-situ synthesized via advanced oxidation followed by modifying with hydrochloric acid to improve the catalytic toluene performance. modified 1.0 M HCl (A-1.0) exhibited best activity of oxidation. The temperature 50% conversion is 245 °C and 90% 279 °C. There much more abundant surface lattice oxygen species higher amount high valence manganese iron ions on A-1.0 catalyst, which beneficial for improving activity. In-situ DRIFTs indicated that benzaldehyde benzoic main intermediate products catalyst during

Language: Английский

---

Emission of VOCs from service stations in Beijing: Species characteristics and pollutants co-control based on SOA and O3

Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 336, P. 117614 - 117614

Published: March 16, 2023

Language: Английский

---

Relationships between ozone and particles during air pollution episodes in arid continental climate

Atmospheric Pollution Research, Journal Year: 2023, Volume and Issue: 14(8), P. 101838 - 101838

Published: July 8, 2023

Language: Английский

---