Llaguno-Munitxa, Maider
[UCL]
Bogosian, Biayna
Our understanding of the relationship between city morphology, materiality and urban microclimate has been limited due to the lack of availability of urban microclimate data. In order to better understand the influence building geometries, trees, or topographical variations play in urban microclimates, it is necessary to utilize measuring techniques that gather higher spatial resolution urban environmental data than that of weather stations or static sensor networks. With this purpose, this research proposes to utilize accessible low-cost technologies for environmental sensing coupled to dynamic devices. A custom sensor kit to record temperature and CO2 concentrations, has been mounted to a bike for pedestrian level microclimate sensing. The same sensing kit has been coupled to an Unmanned Aerial Vehicle (UAV) for the vertical gradient profile measurements. Image processing techniques and GIS data have been utilized to visualize the recorded measurements and to parameterize the urban properties (green areas, impervious surfaces and building masses) around the acquisition trajectories. The correlation of the acquired measurements and the urban parameters, show that maximum CO2 concentrations mainly peak in road intersections. Building masses and greenery also influence the distribution of pollutant concentrations both in the pedestrian level and in the vertical profiles.


Bibliographic reference |
Llaguno-Munitxa, Maider ; Bogosian, Biayna. Sensing Urban Microclimates.IAAC - Responsive Cities (du 16/09/2016 au 17/09/2016). |
Permanent URL |
http://hdl.handle.net/2078.1/283969 |