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Title: Global climate driven effects on urban air pollution simulations using very high spatial resolution

Authors: Roberto San José; Juan Luis Pérez; Libia Pérez; Rosa Maria Gonzalez Barras

Addresses: Environmental Software and Modelling Group, Computer Science School, Technical University of Madrid (UPM), Madrid, Spain ' Environmental Software and Modelling Group, Computer Science School, Technical University of Madrid (UPM), Madrid, Spain ' Environmental Software and Modelling Group, Computer Science School, Technical University of Madrid (UPM), Madrid, Spain ' Department of Physics and Meteorology, Faculty of Physics, Complutense University of Madrid (UCM), Ciudad Universitaria, 28040 Madrid, Spain

Abstract: A dynamic downscaling tool has been implemented that uses global climate data with 1° spatial resolution to provide information of pollutant concentrations with a resolution of 50 metres, taking into account 3D obstacles. The tool has been used to understand the climate impact on air quality in the cities of Milan and London. Future years (2030, 2050 and 2100) have been compared to the present year (2011) for RCP 4.5 and RCP 8.5 scenarios. The system has been previously evaluated by comparing its results driven by real global meteorological data with the data measured by air quality monitoring stations. The performance of the system has been considered acceptable. The spatial distributions of the differences between the future and present averages emphasise how climate change could affect areas of the cities differently. The forecast changes obtained show the relevance of this type of work with high spatial resolution.

Keywords: dynamical downscaling; computational fluid dynamics; CFD; climate scenario; air pollution.

DOI: 10.1504/IJEP.2019.104536

International Journal of Environment and Pollution, 2019 Vol.66 No.1/2/3, pp.143 - 161

Received: 28 Mar 2018
Accepted: 26 Apr 2019

Published online: 15 Jan 2020 *

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