European guide on air pollution source apportionment with receptor models

Claudio A. Belis 1 Bo R. Larsen 2 Fulvio Amato 3 Imad El Haddad 4 Olivier Favez 5 Roy M. Harrison Philip K. Hopke Silvia Nava Pentti Paatero 6 André Prevot 4 Ulrich Quass 7 Roberta Vecchi Mar Viana 3
1 IES - JRC Institute for Environment and Sustainability
2 IHCP - JRC Institute for Health and Consumer Protection
3 IDAEA - Institute of Environmental Assessment and Water Research
4 LAC - Laboratory of Atmospheric Chemistry [Paul Scherrer Institute]
5 INERIS - Institut National de l'Environnement Industriel et des Risques
6 University of Helsinki [Helsinki]
7 IUTA e.v.
Abstract : This report contains a guide and a European harmonised protocol for the identification of air pollution sources using receptor models. The document aims at disseminating and promoting the best available methodologies for source identification and at harmonising their application across Europe. It was developed by a committee of leading experts within the framework of the JRC initiative for the harmonisation of source apportionment that has been launched in collaboration with the European networks in the field of air quality modelling (FAIRMODE) and measurements (AQUILA). The protocol has been conceived as a reference document that includes tutorials, technical recommendations and check lists connected to the most up –to-date and rigorous scientific standards. As a guide, it is structured in sections with increasing levels of complexity that make it accessible to readers with different degrees of familiarity with this topic, from air quality managers to air pollution experts and modellers.
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https://hal-ineris.archives-ouvertes.fr/ineris-01855496
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Submitted on : Wednesday, August 8, 2018 - 11:12:15 AM
Last modification on : Wednesday, August 7, 2019 - 11:44:06 AM

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Claudio A. Belis, Bo R. Larsen, Fulvio Amato, Imad El Haddad, Olivier Favez, et al.. European guide on air pollution source apportionment with receptor models. European Union, 2014, JRC reference reports, 9789279325144. ⟨10.2788/9307⟩. ⟨ineris-01855496⟩

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