Population exposure to outdoor NO2, black carbon, and ultrafine and fine particles over Paris with multi-scale modelling down to the street scale DOI Creative Commons
Soo-Jin Park, Lya Lugon,

Oscar Jacquot

и другие.

Atmospheric chemistry and physics, Год журнала: 2025, Номер 25(6), С. 3363 - 3387

Опубликована: Март 20, 2025

Abstract. This study focuses on mapping the concentrations of pollutants interest to health (NO2, black carbon (BC), PM2.5, and particle number concentration (PNC)) down street scale represent population exposure outdoor at residences. Simulations are performed over area Greater Paris with WRF-CHIMERE/MUNICH/SSH-aerosol chain, using either top-down inventory EMEP or bottom-up Airparif, correction traffic flow. The higher in streets than regional-scale urban background, due strong influence road emissions locally. Model-to-observation comparisons were background stations evaluated two performance criteria from literature. For BC, harmonized equivalent BC (eBC) estimated concomitant measurements eBC elemental carbon. Using corrected flow, strictest met for NO2, eBC, PNC. inventory, also but errors tend be larger lower along those simulated especially NO2 concentrations, resulting fewer heterogeneities. impact size distribution non-exhaust was analysed both regional local scales, it is heavy-traffic streets. To assess exposure, a French database detailing inhabitants each building used. population-weighted (PWC) calculated by weighting populations which they exposed precise location their home. An scaling factor (ESF) determined pollutant estimate ratio needed correct order exposure. average ESF ring 1 PNC because modelled scale. It indicates that Parisian underestimated concentrations. Although this underestimation low an 1.04, very high (1.26), (between 1.22 1.24), (1.12). shows heterogeneities important considered less so PM2.5.

Язык: Английский

Air pollution mapping and variability over five European cities DOI Creative Commons
Karine Sartelet, Jules Kerckhoffs, Eleni Athanasopoulou

и другие.

Environment International, Год журнала: 2025, Номер 199, С. 109474 - 109474

Опубликована: Апрель 15, 2025

Mapping urban pollution is essential for assessing population exposure and addressing associated health impacts. High concentrations are due to the proximity of sources such as traffic or residential heating, density with presence buildings that reduce street ventilation. This complexity makes fine-scale mapping challenging, even regulated pollutants NO2 PM2.5. In this study we apply state-of-the-art empirical deterministic modeling approaches produce high-resolution (<100 m) maps across five European cities (Paris, Athens, Birmingham, Rotterdam, Bucharest). These methodologies enable full-city capturing intra-urban gradients concentrations. Depending on methodology, (NO2, PM2.5) and/or emerging (black carbon (BC) ultrafine particles (UFP characterized here by particulate number concentration PNC)) considered. For modelling, different presented: a multi-scale Eulerian modelling chain down scale chemistry/aerosol dynamics at all scales, hybrid models regional dispersion Gaussian subgrid dispersion, Gaussian-based model. Empirical land use regression were developed based upon mobile monitoring. To compare relative performance evaluate their limitations, results compared fixed measurement stations. We introduce standardized metric quantify spatial seasonal variability assess each method's capacity reproduce heterogeneity. also how data assimilation affects both accuracy representation-particularly relevant where sparse. confirm established patterns: more pronounced PNC, BC than PM2.5, higher during winter periods. observe reduced in PM2. 5 (linked heating) significant wood burning emissions. adds unique value evaluating these patterns using stations, quantifying them entire areas very fine resolution m). Furthermore, important methodological strengths limitations pointed out, providing practical guidance selection improvement methods, supporting implementation new EU Air Quality Directive.

Язык: Английский

Процитировано

1
Population exposure to outdoor NO2, black carbon, and ultrafine and fine particles over Paris with multi-scale modelling down to the street scale DOI Creative Commons
Soo-Jin Park, Lya Lugon,

Oscar Jacquot

и другие.

Atmospheric chemistry and physics, Год журнала: 2025, Номер 25(6), С. 3363 - 3387

Опубликована: Март 20, 2025

Abstract. This study focuses on mapping the concentrations of pollutants interest to health (NO2, black carbon (BC), PM2.5, and particle number concentration (PNC)) down street scale represent population exposure outdoor at residences. Simulations are performed over area Greater Paris with WRF-CHIMERE/MUNICH/SSH-aerosol chain, using either top-down inventory EMEP or bottom-up Airparif, correction traffic flow. The higher in streets than regional-scale urban background, due strong influence road emissions locally. Model-to-observation comparisons were background stations evaluated two performance criteria from literature. For BC, harmonized equivalent BC (eBC) estimated concomitant measurements eBC elemental carbon. Using corrected flow, strictest met for NO2, eBC, PNC. inventory, also but errors tend be larger lower along those simulated especially NO2 concentrations, resulting fewer heterogeneities. impact size distribution non-exhaust was analysed both regional local scales, it is heavy-traffic streets. To assess exposure, a French database detailing inhabitants each building used. population-weighted (PWC) calculated by weighting populations which they exposed precise location their home. An scaling factor (ESF) determined pollutant estimate ratio needed correct order exposure. average ESF ring 1 PNC because modelled scale. It indicates that Parisian underestimated concentrations. Although this underestimation low an 1.04, very high (1.26), (between 1.22 1.24), (1.12). shows heterogeneities important considered less so PM2.5.

Язык: Английский

Процитировано

1