Particuology, Journal Year: 2024, Volume and Issue: 95, P. 223 - 234
Published: Sept. 25, 2024
Language: Английский
Particuology, Journal Year: 2024, Volume and Issue: 95, P. 223 - 234
Published: Sept. 25, 2024
Language: Английский
Atmospheric chemistry and physics, Journal Year: 2025, Volume and Issue: 25(1), P. 93 - 117
Published: Jan. 7, 2025
Abstract. Modeling atmospheric composition at street level is challenging because pollutant concentrations within canyons depend on both local emissions and the transport of polluted air masses from remote areas. Therefore, regional-scale modeling applications must be combined to provide accurate simulations locations. In our study, we compare two strategies: (i) a subgrid-scale approach embedded in chemistry–transport model (denoted Subgrid) (ii) street-network MUNICH (Model Urban Network Intersecting Canyons Highways). cases, CHIMERE provides urban background concentrations, meteorological Weather Research Forecasting (WRF), coupled with CHIMERE, used fields. Simulation results for NOx, NO2, PM2.5 over city Paris approaches are compared situ measurements traffic quality stations. At stations located downtown areas, low emissions, exhibits superior performance Subgrid NOx while comparable obtained NO2. However, significant discrepancies between methods observed all analyzed pollutants heavily influenced by road traffic. These typically near highways, where difference can reach 58 %. The ability estimate emission data limited, leading potential underestimation or overestimation gas fine-particle based heterogeneity it handles. appears highly sensitive friction velocity, parameter anthropogenic heat flux WRF model. Street dimensions do contribute disparities approaches, yet remain predominant factor.
Language: Английский
Citations
1Environmental Science Atmospheres, Journal Year: 2024, Volume and Issue: 4(8), P. 839 - 847
Published: Jan. 1, 2024
Near-explicit chemical mechanisms representing toluene SOA formation are reduced using the GENOA algorithm and used in 3D simulations of air quality over Greater Paris streets a district near Paris.
Language: Английский
Citations
2Earth system science data, Journal Year: 2024, Volume and Issue: 16(11), P. 5089 - 5109
Published: Nov. 5, 2024
Abstract. This paper presents a first comprehensive analysis of long-term measurements atmospheric aerosol components from chemical speciation monitor (ACSM) and multiwavelength Aethalometer (AE33) instruments collected between 2015 2021 at 13 (sub)urban sites as part the French CARA (Chemical Characterization Particles) program. The datasets contain mass concentrations major species within submicron aerosols (PM1), namely organic (OAs), nitrate (NO3-), ammonium (NH4+), sulfate (SO42-), non-sea-salt chloride (Cl−), equivalent black carbon (eBC). Rigorous quality control, technical validation, environmental evaluation processes were applied, adhering to both guidance Reference Laboratory for Air Quality Monitoring (LCSQA) Aerosol, Clouds, Trace Gases Research Infrastructure (ACTRIS) standard operating procedures. Key findings include geographical differences in composition, seasonal variations, diel patterns, which are influenced by meteorological conditions, anthropogenic activities, proximity emission sources. Overall, OA dominates PM1 each site (43 %–60 % total mass), showing distinct seasonality with higher (i) winter, due enhanced residential heating emissions, (ii) summer, increased photochemistry favoring secondary formation. NO3 is second most important contributor (15 %–30 %), peaking late winter early spring, especially northern France, playing significant role during pollution episodes. SO4 (8 %–14 %) eBC (5 %–11 complement fine-aerosol species, their relative contributions strongly origin air masses stability respectively. A comparison 3D transport model (CTM) CHIMERE shows high correlations simulations measurements, albeit an concentration underestimation 46 %–76 %. Regional discrepancies levels emphasize importance these respect validating models tailoring mitigation strategies. can be found https://doi.org/10.5281/zenodo.13318298 (Chebaicheb et al., 2024).
Language: Английский
Citations
1Journal of Environmental Radioactivity, Journal Year: 2024, Volume and Issue: 278, P. 107512 - 107512
Published: Aug. 7, 2024
Language: Английский
Citations
0Particuology, Journal Year: 2024, Volume and Issue: 95, P. 223 - 234
Published: Sept. 25, 2024
Language: Английский
Citations
0