From 21/10/2016 to 01/01/2018
We propose to predict the air quality level at the street level in several French cities. To reach this goal, we rely on an increasingly popular kind of model in the atmospheric science community called land use regression model (LURM). By using relevant parameters based on the land-use (e.g., the surface occupied by residential buildings within a given perimeter), as well as meteorological ones, matched with the monitoring station readings, it's possible to build a statistical model to predict air quality levels. Such model can then be used at other locations within the cities to construct a street-level air pollution map.Examples can be seen in the scientific literature (e.g., http://www.sciencedirect.com/science/article/pii/S1877705815016331 or http://www.sciencedirect.com/science/article/pii/S001393511530178X)
Plume Labs is a French start-up which aims, helped by open data, at providing to citizens information on their exposure to air pollution. Today, such information is already given for an increasing number of megalopolis through a mobile application but our final goal is to provide pollution levels at any point on the globe. To achieve this, we are using and/or developing physical models as well as artificial intelligence tools which could be merged in a near future.