Prediction of the Concentration and Source Contributions of PM2.5 and Gas-Phase Pollutants in an Urban Area with the SmartAQ Forecasting System DOI Creative Commons

Evangelia Siouti,

Ksakousti Skyllakou, Ioannis Kioutsioukis

et al.

Atmosphere, Journal Year: 2023, Volume and Issue: 15(1), P. 8 - 8

Published: Dec. 21, 2023

The SmartAQ (Smart Air Quality) forecasting system produces high-resolution (1 × 1 km2) air quality predictions in an urban area for the next three days using advanced chemical transport modeling. In this study, we evaluated performance of Patras, Greece, four months (July 2021, September December and March 2022), covering all seasons. work, assess system’s ability to forecast PM2.5 levels major gas-phase pollutants during periods with different meteorological conditions local emissions, but also areas city characteristics (urban, suburban, background sites). We take advantage application quantify main sources at each site. During summertime, model was excellent (Fbias < 15%, Ferror 30%) sites both center suburbs. For center, reproduced well (MB = −0.9 μg m−3, ME 2.5 m−3) overall measured behavior high nighttime peaks due cooking activity, as transported PM pollution fall, good 42%, 45%) suburban core, while it average 50%, 54%, MB, 3.3 suburbs because overpredicted long-range pollution. wintertime, −2 6.5 concentration high-biomass-burning emission −4%, 33%) 1.1 3 levels. concentrations core spring 40%, MB 8.5 10 m−3), tended slightly overestimate regional source fine summer autumn cooking, most city. Residential biomass burning dominant particle winter early spring. pollutants, daily nitrogen oxides (NOx) summertime. Predicted NOx were consistent measurements night underestimated observations rest day. achieved US EPA modeling goals hourly O3 indicating performance.

Language: Английский

Mitigating air and noise pollution through highway capping: The Bundang-Suseo Highway Cap Project case study DOI
Kitae Park, Jeongwoo Lee

Environmental Pollution, Journal Year: 2024, Volume and Issue: 346, P. 123620 - 123620

Published: Feb. 20, 2024

Language: Английский

Citations

5
An insight into recent PM1 aerosol light scattering properties and particle number concentration variabilities at the suburban site ATOLL in Northern France DOI Creative Commons
Lenka Suchánková, Suzanne Crumeyrolle,

Eric Bourrianne

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 959, P. 178190 - 178190

Published: Dec. 29, 2024

Aerosol particles in the PM1 fraction considerably influence climate-related effects of aerosols and impact human health despite representing very variable fractions total aerosol mass concentration. optical measurement techniques (aerosol light scattering) may not be sufficiently effective for detecting all fraction, particularly regarding number The present study investigates temporal variations scattering properties particle concentration (PNC) at different size modes atmospheric site ATOLL (The Atmospheric Observations Lille), Northern France from January 2018 to February 2023. coefficient σsp decreased annually by 6 % 8 525 635 nm, respectively. Maximum annual changes occur winter summer seasons with a decrease above 10 per year. Although backscattering (σbsp) nm significantly winter, this did result significant overall decline over time. Despite scattering, PNC exhibited notable increase N20-30 N30-60 which led an N20-800 range. N20-30nm increased annually, highest 37 spring. Both traffic photooxidative processes influenced PNCs, underscoring need more comprehensive investigation detailed distribution assess air quality ultrafine urban/suburban sites Europe.

Language: Английский

Citations

1
Prediction of the Concentration and Source Contributions of PM2.5 and Gas-Phase Pollutants in an Urban Area with the SmartAQ Forecasting System DOI Creative Commons

Evangelia Siouti,

Ksakousti Skyllakou, Ioannis Kioutsioukis

et al.

Atmosphere, Journal Year: 2023, Volume and Issue: 15(1), P. 8 - 8

Published: Dec. 21, 2023

The SmartAQ (Smart Air Quality) forecasting system produces high-resolution (1 × 1 km2) air quality predictions in an urban area for the next three days using advanced chemical transport modeling. In this study, we evaluated performance of Patras, Greece, four months (July 2021, September December and March 2022), covering all seasons. work, assess system’s ability to forecast PM2.5 levels major gas-phase pollutants during periods with different meteorological conditions local emissions, but also areas city characteristics (urban, suburban, background sites). We take advantage application quantify main sources at each site. During summertime, model was excellent (Fbias < 15%, Ferror 30%) sites both center suburbs. For center, reproduced well (MB = −0.9 μg m−3, ME 2.5 m−3) overall measured behavior high nighttime peaks due cooking activity, as transported PM pollution fall, good 42%, 45%) suburban core, while it average 50%, 54%, MB, 3.3 suburbs because overpredicted long-range pollution. wintertime, −2 6.5 concentration high-biomass-burning emission −4%, 33%) 1.1 3 levels. concentrations core spring 40%, MB 8.5 10 m−3), tended slightly overestimate regional source fine summer autumn cooking, most city. Residential biomass burning dominant particle winter early spring. pollutants, daily nitrogen oxides (NOx) summertime. Predicted NOx were consistent measurements night underestimated observations rest day. achieved US EPA modeling goals hourly O3 indicating performance.

Language: Английский

Citations

2