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title Applying integrated assessment methodologies to air quality plans: Two European cases
authors Miranda, AI; Relvas, H; Viaene, P; Janssen, S; Brasseur, O; Carnevale, C; Declerck, P; Maffeis, G; Turrini, E; Volta, M
author full name Miranda, A. I.; Relvas, H.; Viaene, P.; Janssen, S.; Brasseur, O.; Carnevale, C.; Declerck, P.; Maffeis, G.; Turrini, E.; Volta, M.
title Applying integrated assessment methodologies to air quality plans: Two European cases
nationality internacional
source ENVIRONMENTAL SCIENCE & POLICY
language English
document type Article
author keywords Urban air quality planning; Local integrated assessment; Emission reduction scenarios; Surrogate model; Cost-benefit
keywords plus SOURCE APPORTIONMENT; POPULATION EXPOSURE; REGIONAL-SCALE; REDUCTION; POLICIES; LONDON; MODELS; IMPACT; PM10
abstract Air pollution Integrated Assessment Models (IAM) can be used for determining how emissions should be reduced to improve air quality and to protect human health in a cost-efficient way. The application of IAM is also useful to spread information to the general public and to explain the effectiveness of proposed Air Quality Plans. In this paper, the application of the RIAT+ system to determine suitable abatement measures to improve the air quality at a regional/local level is presented for two European cases: the Brussels Capital Region (Belgium) and the Porto Urban Area (Portugal). Both regions are affected with PM10 or NO2 concentrations that exceed the limit values specified by the European Union legislation. To properly assess air quality abatement measures a surrogate model was used, allowing the implementation of an efficient optimization procedure. This model is derived in both cases through a set of simulations performed using a Chemistry Transport Model fed with different emission reduction scenarios. In addition, internal costs (due to the implementation of emission reduction measures) and external costs (due to population exposure to air pollutant concentrations) of policy options were considered. The application of this integrated assessment modelling system in scenario (Brussels case) and optimization (Porto) modes contributes to identifying some advantages and limitations of these two approaches and also provides some guidance when urban air quality has to be assessed. (C) 2016 Elsevier Ltd. All rights reserved.
author address [Miranda, A. I.; Relvas, H.] Univ Aveiro, Dept Environm & Planning, CESAM, P-3810193 Aveiro, Portugal; [Viaene, P.; Janssen, S.] Flemish Inst Technol Res, VITO, B-2400 Mol, Belgium; [Brasseur, O.; Declerck, P.] Brussels Environm, B-3000 Brussels, Belgium; [Carnevale, C.; Turrini, E.; Volta, M.] Univ Brescia, Dept Mech & Ind Engn, I-25123 Brescia, Italy; [Maffeis, G.] TerrAria Srl, Milan, Italy
reprint address Miranda, AI (reprint author), Univ Aveiro, Dept Environm & Planning, CESAM, P-3810193 Aveiro, Portugal.
e-mail address miranda@ua.pt
funding agency and grant number European Union's Seventh Framework Programme for research, technological development and demonstration [CA 308395]; FEDER through the COMPETE Programme; national funds from FCT - Science and Technology Portuguese Foundation [SFRH/BD/101660/2014]
funding text This project received funding from the European Union's Seventh Framework Programme for research, technological development and demonstration under grant agreement number CA 308395. The work has been performed using part of the data collected and managed in the GAINS (Europe) Database. The authors would also like to acknowledge the financial support of FEDER through the COMPETE Programme and the national funds from FCT - Science and Technology Portuguese Foundation for the Ph.D. grant of H. Relvas (SFRH/BD/101660/2014).
cited references Aben J., 2005, INF ENV PROTECT NETW; Amann M., 2013, TECHNICAL REPORT; Amann M, 2011, ENVIRON MODELL SOFTW, V26, P1489, DOI 10.1016/j.envsoft.2011.07.012; APPRAISAL (Project on Air Pollution Policies foR Assessment of Integrated Strategies At regional and Local scales), 2015, GUID INT AIR QUAL HL; Borrego C, 2012, INT J ENVIRON POLLUT, V48, P60, DOI 10.1504/IJEP.2012.049652; Borrego C., 2011, ADV AIR POLLUTION, P1; Bruxelles Environnement, 2015, PLAN REG AIR CLIM EN, P157; Carnevale C, 2011, J ENVIRON MANAGE, V92, P3136, DOI 10.1016/j.jenvman.2011.08.009; Carnevale C, 2012, ENVIRON MODELL SOFTW, V38, P306, DOI 10.1016/j.envsoft.2012.07.004; Carnevale C, 2012, ENVIRON MODELL SOFTW, V34, P44, DOI 10.1016/j.envsoft.2011.04.007; Carnevale C, 2014, SCI TOTAL ENVIRON, V481, P7, DOI 10.1016/j.scitotenv.2014.02.016; Comes T., 2010, OKOLOGISCHES WIRTSCH, V25; Cuvelier C, 2007, ATMOS ENVIRON, V41, P189, DOI 10.1016/j.atmosenv.2006.07.036; D'Elia I, 2009, ATMOS ENVIRON, V43, P6182, DOI 10.1016/j.atmosenv.2009.09.003; EEA, 2011, EUR ENV ASS ASS, P197; EEA, 2007, 162007 EEA; Hurley PJ, 2005, ENVIRON MODELL SOFTW, V20, P737, DOI 10.1016/j.envsoft.2004.04.006; INE (Instituto Nacional de Estatistica), 2012, AL FAM RES HAB LOC G; Karagulian F, 2012, INT J ENVIRON POLLUT, V50, P190; Karvosenoja N., 2008, EMISSION SCENARIO MO; Lauwaet D, 2013, ATMOS ENVIRON, V67, P46, DOI 10.1016/j.atmosenv.2012.10.034; Lefebvre W, 2011, ATMOS ENVIRON, V45, P197, DOI 10.1016/j.atmosenv.2010.09.026; Maes J, 2009, ATMOS ENVIRON, V43, P1246, DOI 10.1016/j.atmosenv.2008.11.040; Mediavilla-Sahagun A, 2006, ENVIRON MODELL SOFTW, V21, P501, DOI 10.1016/j.envsoft.2004.06.010; Mediavilla-Sahagun A, 2003, ATMOS ENVIRON, V37, P4651, DOI 10.1016/j.atmosenv.2003.07.004; Mensink C., 2001, LARGE SCALE SCI COMP; Pernigotti D, 2013, ATMOS ENVIRON, V79, P869, DOI 10.1016/j.atmosenv.2013.07.045; Thunis P., 2016, ENV SCI POL; Thunis P, 2013, ATMOS ENVIRON, V79, P861, DOI 10.1016/j.atmosenv.2013.05.018; Vedrenne M, 2015, SCI TOTAL ENVIRON, V527, P351, DOI 10.1016/j.scitotenv.2015.05.014; Viaene P., 2016, ENV SCI POL CURRENT; Viana M, 2008, J AEROSOL SCI, V39, P827, DOI 10.1016/j.jaerosci.2008.05.007; Wagner F., 2007, IR07004 IIASA
cited reference count 33
publisher ELSEVIER SCI LTD
publisher city OXFORD
publisher address THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
issn 1462-9011
29-character source abbreviation ENVIRON SCI POLICY
iso source abbreviation Environ. Sci. Policy
publication date NOV
year published 2016
volume 65
special issue SI
beginning page 29
ending page 38
digital object identifier (doi) 10.1016/j.envsci.2016.04.010
page count 10
web of science category Environmental Sciences
subject category Environmental Sciences & Ecology
document delivery number DV0GC
unique article identifier WOS:000382595000005
link http://www.sciencedirect.com/science/article/pii/S1462901116300910