2014
DOI: 10.5194/acp-14-3325-2014
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Source apportionment of PM<sub>10</sub> in a north-western Europe regional urban background site (Lens, France) using positive matrix factorization and including primary biogenic emissions

Abstract: Abstract. In this work, the source of ambient particulate matter (PM10) collected over a one-year period at an urban background site in Lens (France) was determined and investigated using a positive matrix factorization receptor model (US EPA PMF v3.0). In addition, a potential source contribution function (PSCF) was performed by means of the Hybrid Single-Particle Lagrangian Integrated Trajectory (Hysplit) v4.9 model to assess prevailing geographical origins of the identified sources. A selective iteration pr… Show more

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Cited by 233 publications
(201 citation statements)
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“…The benefit of such approach was previously described Waked et al, 2014;Srivastava et al, 2017). In our case, we included hopanes (thereafter 25 named HOP), methoxyphenols, polyols (sum of mannitol, arabitol and sorbitol), levoglucosan and MSA (methane sulfonic acid).…”
Section: Source Apportionment Of Pm 10mentioning
confidence: 99%
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“…The benefit of such approach was previously described Waked et al, 2014;Srivastava et al, 2017). In our case, we included hopanes (thereafter 25 named HOP), methoxyphenols, polyols (sum of mannitol, arabitol and sorbitol), levoglucosan and MSA (methane sulfonic acid).…”
Section: Source Apportionment Of Pm 10mentioning
confidence: 99%
“…-Organic and elemental carbon (OC, EC), using a Sunset instrument and the EUSAAR2 protocol (Aymoz et al, 2004;Cavalli et al, 2016); -inorganic elements (Al, Fe, Ti, As, Ba Cd, Ce, Cr, Cu, La, Li, Mn, Mo, Ni, Pb, Rb, Sb, Sn, Sr, V, Zn and Zr) using ICP-MS (Waked et al, 2014);…”
Section: Chemical Analysesmentioning
confidence: 99%
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“…Furthermore, in order to consider air parcels with a good representativity, a weighing function has been implemented to remove high CF uncertainties usually linked with low n ij values. The method implemented in ZeFir was based on a "trajectory density" log n ij + 1 (Bressi et al, 2014;Waked et al, 2014). Indeed, weighing function is empirically determined as…”
Section: Identification Of Potential Regional Emission Areas Using Thmentioning
confidence: 99%
“…We calculated the PSCF on the basis of 5 × 5 • grid cells. To account for bad statistics in grid cells with a low trajectory density, a weighting function according to Waked et al (2014) was applied. The spatial distribution of the PSCF of N CN is mapped in Fig.…”
Section: Pscf Analysismentioning
confidence: 99%