The world's population has been growing continuously, with most people inhabiting urban settlements. Furthermore, air pollution has become a growing concern, mainly in densely populated cities, where human health is threatened by acute air pollution episodes. The H2020 ClairCity project aims to substantially improve future air quality and carbon policies in European cities by initiating new modes of engaging citizens, stakeholders and policy makers. ClairCity applies an innovative quantification framework developed to assess environmental, health and economic impacts. In this work, the quantification framework was applied and calibrated for the baseline situation in Bristol, the ClairCity pilot city. The second-generation Gaussian model URBAIR was set up to simulate NO2 and particulate matter (PM) concentrations for the entire year of 2015. An analysis of source contribution was performed providing information on the contributions of different source sectors (e.g. road transport, industrial, residential and commercial) to NO2 and PM concentrations. The results point to a predominant contribution of road transport sector of 53% to NO2 concentrations in Bristol, while the residential sector is the main contributor (with a contribution of 82%) to particulate matter concentrations, mainly linked with a high use of solid biomass combustion in this sector. These results can be powerful to support the design of air quality management plans and strategies and to forecast potential benefits of reducing emissions from a particular source category.
|Title of host publication||Proccedings of 27th International Conference on Modelling, Monitoring and Management of Air Pollution|
|Publication status||Published - 2019|
|Series||W I T Transactions on Ecology and the Environment|
Oliveira, K., Rodrigues, V., Coelho, S., Patrícia Fernandes, A., Rafael, S., Faria, C., ... Lopes, M. (2019). Assessment of source contributions to the urban air quality for the Bristol claircity pilot case
. In Proccedings of 27th International Conference on Modelling, Monitoring and Management of Air Pollution
(Vol. 236, pp. 89-98). W I T Transactions on Ecology and the Environment https://doi.org/10.2495/AIR190091