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Forward and inverse transport of particulate matter and gaseous pollutants affecting the region bordering the English Channel

Plainiotis, S., Pericleous, K.A., Fisher, B.E.A. and Shier, L. (2005) Forward and inverse transport of particulate matter and gaseous pollutants affecting the region bordering the English Channel. In: International Conference on Modelling and Simulation, 2005. ACTA Press, Calgary, AB, Canada, pp. 164-169. ISBN 0-88986-496-9 (print) : 0-88986-498-5 (CD) ISSN 1922-8058 (CD), 1925-8003 (print)

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Abstract

The ATTMA "Aerosol Transport in the Trans-Manche Atmosphere" project investigates the transportation and dispersion of air pollutants across the English Channel, in collaboration with local authorities and other Universities in Southern England and Northern France. The research is concerned with both forward and inverse (receptor based) tracking. Two alternative dispersion simulation methods are used: (a) Lagrangian Particle Dispersion (LPD) models, (b) Eulerian Finite Volume type models. This paper is concerned with part (a), the simulations based on LPD models. Two widely applied LPD models are used and compared. Since in many observed episodes the source of pollution is traced outside the region of interest, long range, trans-continental transport is also investigated.

Item Type: Conference Proceedings
Title of Proceedings: International Conference on Modelling and Simulation, 2005
Additional Information: [1] This paper appears as number 459-090 in the Environmental Systems Track of Proceedings from 16th IASTED International Conference on Modelling and Simulation, May 18 – 20, 2005 - Cancun, Mexico.
Uncontrolled Keywords: ATTMA "Aerosol Transport, Trans-Manche Atmosphere" project, Lagrangian Particle Dispersion (LPD) models, Eulerian Finite Volume type models
School / Department / Research Groups: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Computational Science & Engineering Group
School of Computing & Mathematical Sciences > Department of Computer Systems Technology
School of Computing & Mathematical Sciences > Department of Mathematical Sciences
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Last Modified: 30 Apr 2012 16:45
URI: http://gala.gre.ac.uk/id/eprint/859

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