How
DAPPLE brings together multidisciplinary expertise capable of undertaking fieldwork, wind tunnel and computational simulations to provide a better understanding of the physical processes affecting street and neighbourhood scale flows of air, traffic and people, and their corresponding interactions with the dispersion of pollutants.
Reports and data will be become available over the life of the DAPPLE projects on these web pages.
Further information can be obtained from info@dapple.org.uk
Fieldwork 2007
Fieldwork 2004
Fieldwork 2003
Four DAPPLE field campaigns have been successfully completed.
- 1, from 28th April to 24th May 2003
- 2, from 19th April to 13th June, 2004, with additional tracer experiments carried out in November, 2004
- 3, from October 2006 to October 2007, with an intensive study period from 20th May, 2007, to August, 2007
- 4, March 2008, tracer dispersion from fixed and moving sources
Wind Tunnel Modelling
Models of the field site at 1:200 scale are used in wind tunnel work at the Environmental Flow Research Centre (EnFlo), University of Surrey. Wind tunnel modelling has the advantage over field trials of repeatable and controllable wind conditions, making it possible to perform multiple repeat experiments in short time-scales in identical flow conditions. This is impossible in the field - however, important features of the "real world" cannot be reproduced in the wind tunnel, which is why the combined use of field and wind tunnel experimentation is so powerful. Some preliminary reports describing the wind tunnel work are available on the downloads page.
Numerical & Analytical Modelling
Computer simulations are undertaken at the University of Cambridge using a suite of models of different complexity (from RANS CFD to simple empirical rules); at the University of Reading using canopy modelling; LES at Imperial College London and traffic modelling at the University of Leeds (ITS). The numerical models address the DAPPLE field and wind tunnel experiments, urban air quality and accidental releases, evaluation of model performance, sensitivity studies and best practice guidelines. Once proven, these computer models can be applied to predict behaviour of pollution in more generalised cases than our initial study site. Some preliminary reports are now available on the downloads page.




