The impact of long-range-transport on PM1 and PM2.5 at a Central Mediterranean site

Perrone, M. R.; Becagli, Silvia; Orza, J.A.G.; Vecchi, R.; Dinoi, Adelaide; Udisti, Roberto; Cabello, M.

doi:10.1016/j.atmosenv.2013.02.006

Cited by 108 publications

(96 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Also for the crustal matter source the discrepancy observed, particularly evident during summer, may be only in small part explained by the assumption made in the MS approach that all the elements were present as oxides. A further contribution to the PMF factor could have been due to water and to other organic and inorganic species adsorbed on the surface of crustal particles, particularly during Saharan transport events Perrone et al, 2013). However, even in this case, PMF seems to overestimate this source contribution.…”

Section: Comparison Between Pmf and Mass Closure/macrosources Resultsmentioning

confidence: 88%

“…This is quite surprising as the crustal elements are mainly confined in coarse particles, while OC, EC and SO 4 2-are mainly contained in fine particles . Perrone et al (2013) found the latter components mixed with crustal markers in PM 2.5 ; they hypothesized that the mineral particles can change their original composition during their ageing in the atmosphere, getting mixed/coated with inorganic ions, organics and black carbon. Although this hypothesis may partly explain the high concentration apportioned to this factor in the PM fine fraction, the crustal source appears to be not clearly separated by the model.…”

Section: Pmf Source Profilesmentioning

confidence: 99%

See 1 more Smart Citation

Sources of PM in an Industrial Area: Comparison between Receptor Model Results and Semiempirical Calculations of Source Contributions

Farao

Canepari

Perrino

et al. 2014

Aerosol Air Qual. Res.

View full text Add to dashboard Cite

Source apportionment of PM 10 and PM 2.5 samples collected in an industrial area of the Po Valley was performed by using the Positive Matrix Factorization (PMF) model and a semiempirical calculation of five macro-source contributions. Samples were collected during four monitoring periods, January-February 2011, June 2012, January-February 2012, May-June 2012, resulting in a total of 720 samples (360 for PM 10 and 360 for PM 2.5 ). PMF variables included major elements, ions, elemental carbon and organic compounds and minor and trace elements. In order to increase the selectivity of minor and trace elements as source tracers, a chemical fractionation methodology based on the elemental solubility was employed; it was thus possible to include the extractable, the residual or both thefractions of the minor and trace elements in the database.PMF resolved six factors for PM 10 (crustal matter, marine aerosol, industry, secondary/oil combustion, secondary nitrate/biomass burning/exhaust particles, brake/tyre wear/re-suspended road dust) and seven factors for PM 2.5 (crustal matter, marine aerosol, industry, secondary nitrate, biomass burning, other secondary components, secondary sulphate/oil combustion). Mixing properties of the lower atmosphere were monitored by using natural radioactivity. The lack in the separation of some sources was shown to be due to their co-variation during periods of high atmospheric stability in the cold months. Seasonal variations of the source contributions were evaluated and discussed.PMF results were compared with those obtained by a semiempirical calculation method in which analytical results are grouped into five macro-sources (crustal matter, marine aerosol, secondary inorganic compounds, combustion products from vehicular emissions and organics). Although similar trends in the temporal variation of the main PM sources were obtained, the absolute magnitude of the concentrations varied in some cases, especially for crustal matter and marine aerosol sources.

show abstract

Section: Comparison Between Pmf and Mass Closure/macrosources Resultsmentioning

confidence: 88%

Section: Pmf Source Profilesmentioning

confidence: 99%

Sources of PM in an Industrial Area: Comparison between Receptor Model Results and Semiempirical Calculations of Source Contributions

Farao

Canepari

Perrino

et al. 2014

Aerosol Air Qual. Res.

View full text Add to dashboard Cite

show abstract

“…8 and air-flows types were labeled according to their overall direction and relative length. Note that short trajectories were indicative of slow moving air masses while extremely long trajectories did so for fast flows, which has a difference in direct implications for air quality (Perrone et al, 2013). The clustering results were significantly different in the three heights.…”

Section: Potential Sourcesmentioning

confidence: 74%

“…Normally, different source regions mean different kinds of components in PM 2.5 and the length of air-flow trajectories mean the capacity of the deposition of PM 2.5 particles. The relatively longer air-flow trajectory had a fast speed and it's unfavorable for the deposition of particles based on the dynamic principle (Perrone et al, 2013).…”

Section: Air-flow Trajectoriesmentioning

confidence: 99%

Analysis of Long-Range Transport Effects on PM2.5 during a Short Severe Haze in Beijing, China

Yang

Guochen

2017

Aerosol Air Qual. Res.

View full text Add to dashboard Cite

Comprehensively using Inverse Distance Weighted (IDW) analysis, Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model, three-dimensional (3D) cluster analysis, Weight Potential Source Concentration Function (WPSCF) analysis and other statistic methods, we mainly studied about the spatio-temporal variation, long-range transport and potential source regions of PM 2.5 in Beijing during a short severe haze from Dec05 to Dec11, 2015. The results showed that the concentration of PM 2.5 decreased from south to north of Beijing. PM 2.5 accumulation in the short-severe haze had high correlation with calm and steady meteorological condition (high relative humidity (RH), low wind speed (WS), low boundary-layer temperature (BLT) and surface air pressure (SAP)). In addition, air-flow in different heights (500 m, 1500 m and 3000 m) had different effects on the haze episode and the air flows at 500 m had the greatest contribution of the air pollution. The potential sources were mainly from the desert in northwest of Beijing and the built-up areas in Jing-Jin-Ji zone. Higher WPSCF values (> 0.7) were mainly distributed in Hebei, west Shandong province (around 0.5) and south Tianjin (around 0.5).

show abstract

“…It is about 6 km away from the town of Lecce (96,000 inhabitants) and about 20 km from both the Ionic and Adriatic Seas (Figure 1). The monitoring site of this study may be considered as representative of coastal sites of the Central Mediterranean away from large sources of local pollution [10].…”

Section: Site Descriptionmentioning

confidence: 99%

Irradiance Impact on Pollution by Integrating Nephelometer Measurements

Perrone¹,

Burlizzi²,

Romano³

2015

Atmosphere

View full text Add to dashboard Cite

Three-wavelength integrating nephelometer measurements combined with short-(SW) and long-wave (LW) irradiance measurements were used to investigate the irradiance effects on the daily evolution of the particulate matter (PM) at the ground level, and contribute to the characterization of the land-atmosphere interaction in pollution dispersal. The integrating nephelometer measurements have allowed characterizing the daily changes of the PM optical and microphysical properties by the aerosol scattering coefficient (σ p ) and the scattering Ångström coefficient (å). We found that on a daily basis σ p reached the minimum values when the irradiance reached the maximum values, since the convective motions, which favor the particle dispersion at the surface, increase with the irradiance. The å value, which is commonly used as qualitative indicator of the dominant particle size, has allowed evaluating the irradiance effects on the mean particle size distribution at the surface and revealed that the irradiance increase favors mainly the dispersion of the ground-level fine particles. Particle size-distribution measurements supported the last comment. Measurements were performed from 4 to 10 May 2015 when the study site was affected by a Saharan dust outbreak, to also evaluate the impact of long-range transported particles on the daily evolution of the ground-level particle's properties and the SW and LW irradiance.

show abstract

The impact of long-range-transport on PM1 and PM2.5 at a Central Mediterranean site

Cited by 108 publications

References 28 publications

Sources of PM in an Industrial Area: Comparison between Receptor Model Results and Semiempirical Calculations of Source Contributions

Sources of PM in an Industrial Area: Comparison between Receptor Model Results and Semiempirical Calculations of Source Contributions

Analysis of Long-Range Transport Effects on PM2.5 during a Short Severe Haze in Beijing, China

Irradiance Impact on Pollution by Integrating Nephelometer Measurements

Contact Info

Product

Resources

About