A region-based model for estimating urban air pollution
Air pollution has a direct impact to human health, and data-driven air quality models are useful for evaluating population exposure to air pollutants. In this paper, we propose a novel region-based Gaussian process model for estimating urban air pollution dispersion, and applied it to a large dataset of ultrafine particle (UFP) measurements collected from a network of sensors located on several trams in the city of Zurich. We show that compared to existing grid-based models, the region-based...[Show more]
|Collections||ANU Research Publications|
|Source:||Sequential Decision-Making with Big Data: Papers from the AAAI-14 Workshop|
|01_Jutzeler_A_region-based_model_for_2014.pdf||2.46 MB||Adobe PDF||Request a copy|
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