Street-scale air quality modelling for Beijing during a winter 2016 measurement campaign

• Published in: Atmospheric chemistry and physics Vol. 20; no. 5; pp. 2755 - 2780
• Main Authors: Biggart, Michael, Stocker, Jenny, Doherty, Ruth M, Wild, Oliver, Hollaway, Michael, Carruthers, David, Li, Jie, Zhang, Qiang, Wu, Ruili, Kotthaus, Simone, Grimmond, Sue, Squires, Freya A, Lee, James, Shi, Zongbo
• Format: Journal Article
• Language: English
• Published: Katlenburg-Lindau Copernicus GmbH 05.03.2020; Copernicus Publications
• Subjects: Air monitoring; Air pollution; Air pollution research; Air quality; Air quality measurements; Air quality models; Airborne particulates; Analysis; Atmospheric models; Atmospheric physics; Boundary conditions; Boundary layers; Computer simulation; Concentration gradient; Diurnal; Emission inventories; Emissions; Environmental health; Environmental monitoring; Evening; Future predictions; Measurement; Megacities; Metropolitan areas; Neglect syndromes; Nitrogen compounds; Nitrogen dioxide; Nitrogen oxides; Nitrogen oxides emissions; Particulate matter; Particulate matter emissions; Particulate matter monitoring; Physics; Pollutants; Pollution; Pollution dispersion; Pollution monitoring; Profiles; Resolution; Roads; Roads & highways; Spatial variability; Spatial variations; Stable boundary layer; Transportation industry; Trucks; Urban air; Urban areas; Urban climatology; Urban heat islands; Vehicle emissions; Winter; China; Beijing China
• ISSN: 1680-7324; 1680-7316; 1680-7324
• DOI: 10.5194/acp-20-2755-2020

We examine the street-scale variation of NOx, NO2, O3 and PM2.5 concentrations in Beijing during the Atmospheric Pollution and Human Health in a Chinese Megacity (APHH-China) winter measurement campaign in November–December 2016. Simulations are performed using the urban air pollution dispersion and chemistry model ADMS-Urban and an explicit network of road source emissions. Two versions of the gridded Multi-resolution Emission Inventory for China (MEIC v1.3) are used: the standard MEIC v1.3 emissions and an optimised version, both at 3 km resolution. We construct a new traffic emissions inventory by apportioning the transport sector onto a detailed spatial road map. Agreement between mean simulated and measured pollutant concentrations from Beijing's air quality monitoring network and the Institute of Atmospheric Physics (IAP) field site is improved when using the optimised emissions inventory. The inclusion of fast NOx–O3 chemistry and explicit traffic emissions enables the sharp concentration gradients adjacent to major roads to be resolved with the model. However, NO2 concentrations are overestimated close to roads, likely due to the assumption of uniform traffic activity across the study domain. Differences between measured and simulated diurnal NO2 cycles suggest that an additional evening NOx emission source, likely related to heavy-duty diesel trucks, is not fully accounted for in the emissions inventory. Overestimates in simulated early evening NO2 are reduced by delaying the formation of stable boundary layer conditions in the model to replicate Beijing's urban heat island. The simulated campaign period mean PM2.5 concentration range across the monitoring network (∼15 µg m−3) is much lower than the measured range (∼40 µg m−3). This is likely a consequence of insufficient PM2.5 emissions and spatial variability, neglect of explicit point sources, and assumption of a homogeneous background PM2.5 level. Sensitivity studies highlight that the use of explicit road source emissions, modified diurnal emission profiles, and inclusion of urban heat island effects permit closer agreement between simulated and measured NO2 concentrations. This work lays the foundations for future studies of human exposure to ambient air pollution across complex urban areas, with the APHH-China campaign measurements providing a valuable means of evaluating the impact of key processes on street-scale air quality.