Visualising and modelling urban air quality - influence of vegetation, building morphology and traffic emissions
Title: |
Visualising and modelling urban air quality - influence of vegetation, building morphology and traffic emissions |
DNr: |
SNIC 2021/23-147 |
Project Type: |
SNIC Small Storage |
Principal Investigator: |
Fredrik Lindberg <fredrikl@gvc.gu.se> |
Affiliation: |
Göteborgs universitet |
Duration: |
2021-03-01 – 2022-03-01 |
Classification: |
10508 |
Keywords: |
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Abstract
An important future goal is to create sustainable, green and dense urban environments. To ensure good air quality it is crucial to understand how vegetation, denser building structure and future traffic situations, separately and in combination, affect air quality. Our aim is to create tools for identification, visualisation and communication of measures promoting urban air quality with respect to vegetation, buildings and traffic. We will address these questions: How does densification, urban vegetation and traffic affect air quality? How can this type of environmental data visualised and communicated to increase understanding and engagement among citizens, city planners and people working with urban environments? This is achieved by 1) identification and quantification of processes governing the effect of plants
on air quality by uptake of pollutants, increased
deposition and altered ventilation, 2) integration of
relevant vegetation processes in a model for dispersion of
air pollutants and application of the model on relevant
scenarios, 3) development of tools for digital visualisation
of model results representing the urban landscape, and 4)
communication for the public, education and as a tool in
city planning. This transdisciplinary project links
biological and meteorological knowledge with
state-of-the-art visualisation and communication in
collaboration with stakeholders and supports the
realisation of UN sustainability goal 11 – Sustainable
Cities and Communities.