Article (Scientific journals)
Developing a fast photochemical calculator for an integrated assessment model
Reis, Lara; Melas, Dimitrios; Peters, Bernhard et al.
2012In International Journal of Environment and Pollution
Peer reviewed
 

Files


Full Text
Developing a fast photochemical calculator for an integrated assessment model.pdf
Author preprint (293.62 kB)
Request a copy

All documents in ORBilu are protected by a user license.

Send to



Details



Keywords :
air quality; fast photochemical calculator; ozone; environmental pollution
Abstract :
[en] The use of integrated assessment models, in air quality policy, which combines atmospheric models with others from different fields, raises the need of developing specific air quality modelling concepts. The air quality model, AUSTAL2000-AYLTP uses an adapted version of AUSTAL2000 model to calculate transport coupled with a fast photochemical module. Two approaches are compared: one using a look-up table and the other using a coupled box model. The lookup table has been built using the OZIPR model by simulating a large set of possible combinations of meteorological variables and precursor concentrations. The second approach consists of coupling the Lagrangian model AUSTAL2000 with the OZIPR box model. In both approaches the photochemistry is included in the mode by using a quasi-linear reaction rates coefficient which is used to affect the mass of the Lagrangian particles. We discuss the differences and the suitability of the two model versions, through exploring CPU time flexibility, applicability and accuracy.
Disciplines :
Environmental sciences & ecology
Author, co-author :
Reis, Lara
Melas, Dimitrios
Peters, Bernhard ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
Zachary, Daniel
Language :
English
Title :
Developing a fast photochemical calculator for an integrated assessment model
Publication date :
2012
Journal title :
International Journal of Environment and Pollution
ISSN :
0957-4352
Publisher :
Inderscience Enterprises Ltd.
Peer reviewed :
Peer reviewed
Focus Area :
Computational Sciences
Available on ORBilu :
since 18 September 2013

Statistics


Number of views
66 (5 by Unilu)
Number of downloads
1 (1 by Unilu)

Scopus citations®
 
1
Scopus citations®
without self-citations
0
WoS citations
 
0

Bibliography


Similar publications



Contact ORBilu