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Details of Grant 

EPSRC Reference: GR/R78176/01
Title: DAPPLE : Dispersion of Air Pollutants and Penetration into the Local Environment
Principal Investigator: Belcher, Professor SE
Other Investigators:
Researcher Co-Investigators:
Project Partners:
Department: Meteorology
Organisation: University of Reading
Scheme: Standard Research (Pre-FEC)
Starts: 14 April 2003 Ends: 13 April 2006 Value (£): 149,478
EPSRC Research Topic Classifications:
Building Ops & Management Transport Ops & Management
Urban & Land Management
EPSRC Industrial Sector Classifications:
Transport Systems and Vehicles
Related Grants:
GR/R78084/01 GR/R78190/01 GR/R78114/01 GR/R78183/01
GR/R78077/01
Panel History:  
Summary on Grant Application Form
This is the contribution to the DAPPLE consortium project from the University of Reading. DAPPLE relates to the EPSRC Infrastructure & Environment Programme for sustainable urban environments. It aims to quantify determinants of human exposure to air pollution from outdoor sources in the urban environment and to use the basic understanding gained in the evaluation and development of appropriate decision support tools, risk assessment methodologies, and best practice guidelines for their application, and in assessing the inherent uncertainty in their use.The group at Reading will make two contributions. Firstly, we shall measure mean winds, turbulence and possibly heat flux during the intensive observation periods using up to 18 sonic anenometers, sited within the streets and above the roofs. These synchronised measurements will allow quantification of the coupling between flow above and within different streets, which will yield insight into the key dispersion mechanisms. Secondly, we shall apply to the observation area a numerical model (being developed in Reading under NERC URGENT funding) for winds in urban areas, in which the urban canopy is represented as a porous medium. This novel approach, which is of intermediate complexity, will be compared with the measurements, the full CFD simulations and the simpified models.
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Organisation Website: http://www.rdg.ac.uk