I. Celades

TL;DR: In this article, three of the most widespread receptor models (principal component analysis, PCA; positive matrix factorization, PMF; chemical mass balance, CMB) were applied to a single PM 10 data set (n =328 samples, 2002-2005) obtained from an industrial area in NE Spain, dedicated to ceramic production.

TL;DR: This study supports the utility of source apportionment methodologies for quantitatively evaluating the effectiveness of the abatement programs for air quality improvement by identifying the main primary industrial emissions of PM in the zone.

TL;DR: The relationship between specific particulate emission control and ambient levels of some PM(10) components was evaluated, and the potential impact of the implementation of corrective measures to reduce emissions from tile manufacture was quantified, resulting in a possible decrease in ambient mineral PM( 10) in urban and suburban areas.

TL;DR: In this paper, the authors used PMF scaled residuals as a diagnostic tool for adjusting species uncertainties and to assess the PMF model fit by comparison with the robust CMB results.

TL;DR: In this paper, the authors examined the emission-adsorption phenomena of fluorine compounds in various ceramic tile body compositions with different fluorine and calcium contents, processed by fast firing cycles in an electric laboratory batch kiln and in continuous fast-cycle industrial combustion kilns (roller kilns).