, Use of advanced receptor modelling for analysis of an intensive 5-week aerosol sampling campaign, 11 -EPA. 2011. Inventory of U.S. greenhouse gas emissions and sinks, pp.482-499, 1990.

, U.S. Environmental Protection Agency

P. K. Hopke, K. Ito, T. Mar, W. F. Christensen, D. J. Eatough et al., PM source apportionment and health effects: 1. Intercomparison of source apportionment results, Journal of Exposure Science & Environmental Epidemiology, vol.38, issue.S1, pp.275-286, 2006.
DOI : 10.1080/02786820390229589

M. Viana, T. A. Kuhlbusch, X. Querol, A. Alastuey, R. M. Harrison et al.,

P. Paatero and U. Tapper, Positive matrix factorization: A non-negative factor model with optimal utilization of error estimates of data values, Environmetrics, vol.18, issue.2, pp.827-849111, 1994.
DOI : 10.1007/978-3-642-93295-3_112

I. Gupta, A. Salunkhe, R. Kumar, and L. J. Gleser, Source Apportionment of PM 10 by Positive Matrix Factorization in Urban Area of Mumbai Some thoughts on chemical mass balance models, pp.15-22, 1997.

P. K. Hopke and P. , Target transformation factor analysis as an aerosol mass apportionment method: A review and sensitivity analysis Atmospheric Environment The multilinear engine -a table-driven least squares program for solving multilinear problems, including the n-way parallel factor analysis model, Journal of Computational and Graphical Statistics, vol.22, issue.8, pp.1777-1792, 1988.

Y. Han, T. M. Holsen, and P. K. Hopke, Estimation of source locations of total gaseous mercury measured in New York State using trajectory-based models, Atmospheric Environment, vol.41, issue.28, pp.6033-6047, 2007.
DOI : 10.1016/j.atmosenv.2007.03.027

, Estimated accuracy of three common trajectory statistical methods, Atmos. Environ, vol.45, pp.5425-5430

Y. Han, T. M. Holsen, P. K. Hopke, and S. Yi, Comparison between Back-Trajectory Based Modeling and Lagrangian Backward Dispersion Modeling for Locating Sources of Reactive Gaseous Mercury, Environmental Science & Technology, vol.39, issue.6, pp.1715-1723, 2005.
DOI : 10.1021/es0498540

M. L. Abbott, C. Lin, P. Martian, and J. J. Einerson, Atmospheric mercury near Salmon Falls Creek Reservoir in southern Idaho, Applied Geochemistry, vol.23, issue.3, pp.438-453, 2008.
DOI : 10.1016/j.apgeochem.2007.12.012

H. Choi, T. M. Holsen, and P. K. Hopke, Atmospheric Mercury (Hg) in the Adirondacks: Concentrations and Sources, using hybrid receptor modelling, pp.5644-5653, 2008.
DOI : 10.1021/es7028137

X. Fu, X. Feng, G. Qiu, L. Shang, P. S. Zhang-hweiss-penzias et al., Speciated atmospheric mercury and its potential source in Guiyang, China Sources of gaseous oxidized mercury and mercury dry deposition at two south-eastern US sites Reducing the uncertainty in measurement and understanding of mercury in the atmosphere, situ measurements of speciated atmospheric mercury and the identification of source regions in the Mexico City Metropolitan Area, pp.4205-4212, 2009.

J. G. Watson, L. W. Chen, J. C. Chow, P. Doraiswamy, and D. H. Lowenthal,

A. Waked, O. Favez, L. Y. Alleman, C. Piot, J. Petit et al., ) using Positive Matrix Factorization and including primary biogenic emissions, Source apportionment: findings from the US supersites program Leoz-Garziandia E. 2013. Source apportionment of PM 10 in a North-Western Europe regional urban background site, pp.265-28810

D. Mooibroek, M. Schaap, E. P. Weijers, and R. Hoogerbrugge, Source apportionment and spatial variability of PM2.5 using measurements at five sites in the Netherlands, Atmospheric Environment, vol.45, issue.25, pp.4180-4191, 2011.
DOI : 10.1016/j.atmosenv.2011.05.017

P. K. Hopke, N. F. Marshall, P. Paatero, . Pmf, L. Y. Ispra-conferencealleman et al., PM 10 metal concentrations and source identification using positive matrix factorization and wind sectoring in a French industrial zone, Atmos. Res, vol.96, pp.27-28, 2010.

J. Sciare, R. Sarda-esteve, O. Favez, H. Cachier, G. Aymoz et al., , 2008.

M. E. Birch and R. A. Carry, Nighttime residential wood burning evidenced from an indirect method for calculating real-time concentration of particulate organic matter (POM) Elemental carbon based for monitoring occupational exposures to particulate diesel exhaust, Atmos. Environ. Aerosol Science and Technology, vol.42, issue.25, pp.2158-2172, 1996.