@article{JRC93813,
	number = {LB-NA-27005-EN-N},
	address = {Luxembourg (Luxembourg)},
	issn = {1831-9424},
	year = {2014},
	author = {Trombetti M and Pisoni E and Maes J and Lavalle C and Thunis P},
	isbn = {978-92-79-44672-6},
	publisher = {Publications Office of the European Union},
	abstract = {This report illustrates the progresses made towards the inclusion of air quality related issues in the Land Use-based Integrated Sustainability Assessment (LUISA) platform. It focuses on the description of the methodology to derive high-resolution gridded-emission spatially geo-referenced layers from outputs and datasets integrated in LUISA.
		In the framework of the integration of the Regional Integrated Assessment Tool (RIAT model) and the Land Use Modelling Integrated Sustainability Assessment (LUISA) platform, we implemented the downscaling of atmospheric emission data from national level to very high spatial resolution (100m). The GAINS model (IIASA) provides the input emission data for different scenarios, up to year 2030, which are disaggregated based on 34 different surrogates. Each surrogate is calculated by means of the integration of several proxies derived by statistical datasets, ancillary models and GIS layers in the framework of the LUISA platform. The preliminary results for NOx, PM10 and NH3 (year 2010) are presented in this report together with their first assessment, based on existing emission maps at 7 and 10 Km resolution. Future steps for further refinements are also discussed.
		},
	title = {Methods for Regional Integrated Assessment: 
		High resolution gridded emission distribution in the LUISA Platform
		},
	url = {},
	doi = {10.2788/46604}
}