Imperial College London
Portrait Picture

DrHuwWoodward

Faculty of Natural Sciences, Centre for Environmental Policy

Research Fellow in Air Pollution Policy
 
 
 
//

Contact

 

huw.woodward

 
 
//

Location

 

307Weeks BuildingSouth Kensington Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Oxley:2023:10.1016/j.envint.2022.107676,
author = {Oxley, T and Vieno, M and Woodward, H and ApSimon, HM and Mehlig, D and Beck, R and Nemitz, E and Reis, S},
doi = {10.1016/j.envint.2022.107676},
journal = {Environment International},
pages = {1--13},
title = {Reduced-form and complex Actm modelling for air quality policy development: a model inter-comparison},
url = {http://dx.doi.org/10.1016/j.envint.2022.107676},
volume = {171},
year = {2023}
}
Download

RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Simulation models can be valuable tools in supporting development of air pollution policy. However, exploration of future scenarios depends on reliable and robust modelling to provide confidence in outcomes which cannot be tested against measurements. Here we focus on the UK Integrated Assessment Model, a fast reduced-form model with a purpose to support policy development with modelling of multiple alternative future scenarios, and the EMEP4UK model which is a complex Eulerian Atmospheric Chemistry Transport Model requiring significant computing resources. The EMEP4UK model has been used to model selected core scenarios to compare with UKIAM, and to investigate sensitivity studies such as the interannual variability in response to meteorological differences between years. This model intercomparison addresses total PM2.5, primary PM2.5 and Secondary Inorganic Aerosol concentrations for a baseline of 2018 and selected scenarios for projections to 2040. This work has confirmed the robustness of the UK Integrated Assessment Model for assessing alternative futures through a direct comparison with EMEP4UK. Both models have shown good agreement with measurements, and EMEP4UK shows an ability to replicate past trends. These comparisons highlight how a combination of reduced-form modelling (UKIAM) and complex chemical transport modelling (EMEP4UK) can be effectively used in support of air pollution policy development, informing understanding of projected futures in the context of emerging evidence and uncertainties.
AU  - Oxley,T
AU  - Vieno,M
AU  - Woodward,H
AU  - ApSimon,HM
AU  - Mehlig,D
AU  - Beck,R
AU  - Nemitz,E
AU  - Reis,S
DO  - 10.1016/j.envint.2022.107676
EP  - 13
PY  - 2023///
SN  - 0160-4120
SP  - 1
TI  - Reduced-form and complex Actm modelling for air quality policy development: a model inter-comparison
T2  - Environment International
UR  - http://dx.doi.org/10.1016/j.envint.2022.107676
UR  - https://www.sciencedirect.com/science/article/pii/S0160412022006031?via%3Dihub
UR  - http://hdl.handle.net/10044/1/101256
VL  - 171
ER  -
Download