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Found 828 publications. Showing page 6 of 83:

Publication  
Year  
Category

Fine aerosol chemical composition and sources in Europe using high time resolution instrumentation

Minguillón, M. C.; Prevot, A.S.H.; Riffault, Véronique; Favez, Olivier; Gilardoni, S.; Mocnik, G.; Platt, Stephen Matthew; Green, D; Ovadnevaite, Jurgita; Kasper-Giebl, Anne; Alastuey, A.; Marmureanu, Luminita; Eriksson, A.; Sokolovic, D.; Team, The COLOSSAL

2020

Cyclic and Linear Siloxanes in Indoor Environments: Occurrence and Human Exposure

Cincinelli, Alessandra; Martellini, Tania; Scopetani, Costanza; Guerranti, C.; Katsoyiannis, Athanasios A.

2020

Review on the methodology supporting the health impact assessment by the European Environment Agency

Soares, Joana; Gsella, Artur; Horálek, Jan; Guerreiro, Cristina; Ortiz, Alberto González

2020

An interdisciplinary view on air pollution and its impact on health and welfare in the Nordic countries

Geels, C; Andersen, M. S.; Andersson, C.; Christensen, J. H.; Forsberg, B; Frohn, LM; Gislason, T.; Hänninen, O.; Im, U; Jensen, A.; Karvosenoja, N.; Kukkonen, J.; Sofiev, M; Karppinen, A; Navrud, Ståle; Lehtomäki, H.; Lopez-Aparicio, Susana; Nielsen, O. K.; Raashcou-Nielsen, O.; Hvidtfeldt, U.; Strandell, A.; Paunu, Ville-Veikko; Pedersen, CB; Timmermann, A.; Plejdrup, M. S.; Schwarze, Per Everhard; Segersson, D.; Seifert-Dähnn, Isabel; Sigsgaard, T.; Thorsteinsson, T; Moss, A.; Vennemo, Haakon; Brandt, J.

Estimation of pollutant releases into the atmosphere is an important problem in the environmental sciences. It is typically formalized as an inverse problem using a linear model that can explain observable quantities (e.g., concentrations or deposition values) as a product of the source-receptor sensitivity (SRS) matrix obtained from an atmospheric transport model multiplied by the unknown source-term vector. Since this problem is typically ill-posed, current state-of-the-art methods are based on regularization of the problem and solution of a formulated optimization problem. This procedure depends on manual settings of uncertainties that are often very poorly quantified, effectively making them tuning parameters. We formulate a probabilistic model, that has the same maximum likelihood solution as the conventional method using pre-specified uncertainties. Replacement of the maximum likelihood solution by full Bayesian estimation also allows estimation of all tuning parameters from the measurements. The estimation procedure is based on the variational Bayes approximation which is evaluated by an iterative algorithm. The resulting method is thus very similar to the conventional approach, but with the possibility to also estimate all tuning parameters from the observations. The proposed algorithm is tested and compared with the standard methods on data from the European Tracer Experiment (ETEX) where advantages of the new method are demonstrated. A MATLAB implementation of the proposed algorithm is available for download.

2020

New Nordic emission inventory - Spatial distribution of machinery and residential combustion emission

Paunu, Ville-Veikko; Karvosenoja, N.; Segersson, David; Lopez-Aparicio, Susana; Nielsen, O. K.; Plejdrup, M.; Vo, Dam Thanh; Thorsteinsson, T.; Gon, Hugo Denier van der; Brandt, J.; Geels, C.

2020

A presentation of the EPISODE urban scale air quality model and its application to Nordic winter conditions

Hamer, Paul David; Walker, Sam-Erik; Santos, Gabriela Sousa; Vogt, Matthias; Vo, Dam Thanh; Lopez-Aparicio, Susana; Ramacher, Martin O. P.; Karl, Matthias

2020

Evaluation of a city-scale forecast system for air quality in Hamburg

Karl, Matthias; Ramacher, Martin O. P.; Hamer, Paul David; Athanasopoulou, E.; Speyer, O.; Matthias, Volker

2020

Cyclic and Linear Siloxanes in Indoor Environments: Occurence and Human Exposure

Cincinelli, A.; Martellini, T.; Scodellini, R.; Scopetani, C.; Guerranti, C.; Katsoyiannis, Athanasios A.

2020

Environmental speed limits

Grythe, Henrik; Lopez-Aparicio, Susana

2020

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