In their everyday life, people in the UK are rarely concerned with the effects of urban pollution. However, high concentrations or extended periods of exposure can have serious health effects. Many local councils monitor urban pollution to determine, for example, the effects of local traffic congestion. However this is usually done from a small number of sparsely distributed, though highly accurate, pollution sensors. For the average person travelling through the city, such numbers are difficult to interpret because a single value might represent a sample several square kilometres away. However it is known that pollution levels can vary, sometimes dramatically, on a per street basis. The pollutant we are studying is carbon monoxide (CO). Transport makes the greatest contribution to CO levels and CO affects urban areas more significantly than rural areas. Carbon monoxide levels vary greatly depending on local configuration of buildings. We have built a set of mobile sensors that can be carried by hand or placed on a bike rack. They incorporate GPS receivers, so we can get location information for each CO reading.
Because of the way pollution varies, we have visualised pollution data within 3D models of the city. These models are created from Ordnance Survey maps, aerial photograph and building heights calculated from LIDAR (LIght Detection And Ranging) data. The software has been written as a web service to allow 3D visualisations of the required area to be generated on demand. The result is a vrml model suitable for display by any browser that is vrml 2.0 compliant.
To date, the sensors have been used successfully in three separate studies: in the Marylebone Road area of London while participating in the DAPPLE project, while cycling to work every day from Camden to UCL and also in the Clerkenwell area.
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