Chemical Composition of Fine and Coarse Aerosol Particles in the Central Mediterranean Area during Dust and Non-Dust Conditions

Malaguti, Antonella; Mircea, Mihaela; Torretta, Teresa La; Telloli, Chiara; Petralia, Ettore; Stracquadanio, Milena; Berico, M.

doi:10.4209/aaqr.2014.08.0172

Cited by 31 publications

(34 citation statements)

References 61 publications

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“…The 2009 annual average PM10 at the air quality station closest to ENEA, in Ferrandina ( Fig. 1b), was 17 mg m , respectively (Malaguti et al, 2015). Twelve flights were performed from 12 to 26 June 2010.…”

Section: The More Campaignmentioning

confidence: 99%

See 1 more Smart Citation

On the complexity of the boundary layer structure and aerosol vertical distribution in the coastal Mediterranean regions: a case study

Pace¹,

Junkermann

Vitali³

et al. 2015

Tellus B: Chemical and Physical Meteorology

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A B S T R A C TThe planetary boundary layer structure in the coastal areas, and particularly in complex orography regions such as the Mediterranean, is extremely intricate. In this study, we show the evolution of the planetary boundary layer based on in situ airborne measurements and ground-based remote sensing observations carried out during the MORE (Marine Ozone and Radiation Experiment) campaign in June 2010. The campaign was held in a rural coastal Mediterranean region in Southern Italy. The study focuses on the observations made on 17 June. Vertical profiles of meteorological parameters and aerosol size distribution were measured during two flights: in the morning and in the afternoon. Airborne observations were combined with ground-based LIDAR, SODAR, microwave and visible radiometer measurements, allowing a detailed description of the atmospheric vertical structure. The analysis was complemented with data from a regional atmospheric model run with horizontal resolutions of 12, 4 and 1 km, respectively; back-trajectories were calculated at these spatial resolutions. The observations show the simultaneous occurrence of dust transport, descent of mid-tropospheric air and sea breeze circulation on 17 June. Local pollution effects on the aerosol distribution, and a possible event of new particles formation were also observed. A large variability in the thermodynamical structure and aerosol distribution in the flight region, extending by approximately 30 km along the coast, was found. Within this complex, environment-relevant differences in the back-trajectories calculated at different spatial resolutions are found, suggesting that the description of several dynamical processes, and in particular the sea breeze circulation, requires high-resolution meteorological analyses. The study also shows that the integration of different observational techniques is needed to describe these complex conditions; in particular, the availability of flights and their timing with respect to the occurring phenomena are crucial.

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Section: The More Campaignmentioning

confidence: 99%

“…Malaguti et al, 2013Malaguti et al, , 2015Mateos et al, 2014Mateos et al, , 2015. Airborne measurements were carried out using the Enduro KIT ultralight aircraft, which carries up to 80 kg of scientific payload (Junkermann, 2001).…”

Section: The More Campaignmentioning

confidence: 99%

On the complexity of the boundary layer structure and aerosol vertical distribution in the coastal Mediterranean regions: a case study

Pace¹,

Junkermann

Vitali³

et al. 2015

Tellus B: Chemical and Physical Meteorology

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“…Numerous studies have described adverse effects of PM on public health, visibility, climate change and environmental quality (Zheng et al, 2007). To improve urban quality levels, environmental management departments typically pay more attention to PM emitted sources, which have become a topic of scientific debate worldwide (Huang et al, 2014;Kchih et al, 2015;Malaguti et al, 2015). However, individual contributions of each source category to PM cannot be measured directly (Shen et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Accuracy of Advanced and Traditional Three-Way Factor Analysis Models for Determining Source Contributions to Particulate Matter

Tian

Huangfu

Shi

et al. 2016

Aerosol Air Qual. Res.

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Although three-way factor analysis models can take more information into account, their degree of accuracy must be investigated further. We simulated numerous synthetic datasets to evaluate traditional (PMF3) and advanced three-way models (AAB or ABB). On one hand, scenarios whereby sources share the same profiles but different emission patterns were constructed and introduced into PMF3 and advanced AAB models that can estimate the same source profile matrixes B but different emission pattern matrixes A. On the other hand, datasets with the same emission patterns but different profiles were set to simulate the variability of source profiles and were used to evaluate an advanced ABB model that can estimate the same emission pattern matrix A but different source profile matrixes B. The AAEs of PMF3 under two different conditions ranged from 2.95% to 90.22% and from 2.98% to 90.11%, respectively, while the results of the advanced three-way models were 2.88%-27.51% and 2.89%-29.89%, respectively. We observed that the PMF3 performed well when all sources showed strong emission patterns and source profiles were similar. The application of advanced AAB model was stable under various emission patterns; and ABB model was stable under different variability of source profiles. At the same time, several ambient datasets were estimated by the advanced three-way models. Our findings suggest that the performance of advanced three-way models make full use of spatial or size distribution information to enhance capacities to identify source categories.

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“…(Guo et al, 2004;Ma et al, 2005;Liu et al, 2006;Han et al, 2008;Hwang et al, 2008). Dust storms also contain natural mineral particles, sulfates and nitrates (Talbot et al, 1997;Wang et al, 2007;Malaguti et al, 2015), black carbon (Ramana et al, 2010), hazardous heavy metals (Kim et al, 2003), and carbonaceous aerosols (Ramana et al, 2010;Stone et al, 2011) from biomass burning . High particulate matter (PM) concentrations in Taiwan usually result from ADS, which occur several times annually, especially in the winter and spring (Zhou et al, 1996;Ma et al, 2001;Chen et al, 2004;Lee et al, 2006).…”

Section: Introductionmentioning

confidence: 99%

Source Apportionment of Submicron Particle Size Distribution and PM2.5 Composition during an Asian Dust Storm Period in Two Urban Atmospheres

Liang

Lin

2015

Aerosol Air Qual. Res.

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Asian dust storms (ADS), coming from deserts of China and Mongolia, have serious environmental impact on particulate matter (PM) and other pollutants in Taiwan. This study selected two urban sites, Taipei and Kaohsiung, to evaluate the influence of ADS on air quality. During the ADS periods, the hourly PM 10 mass concentrations were 800 µg m -3 in Taipei and the 400 µg m -3 in Kaohsiung, which was three to five times higher than PM episodes during the non-ADS periods. By using the principal component analysis (PCA) manner, the potential sources, the dust storm contained, can be successfully identified during ADS periods. The other potential sources can be identified as vehicular emission and secondary organic aerosols from local area. There have been many studies conducted on the impact of ADS on airborne coarse particle concentration, but very few on fine particle concentration. This study focused on, using PCA for analysis and discussion, the impact of ADS on submicron particle size distribution. The results showed that there was no close relationship between the ADS and Aitken mode (30-100 nm or D 30-100 nm) or accumulation mode (from 0.1-1 µm). However, it was found that strong correlation existed between the ADS and nucleation mode (10-30 nm or D 10-30 nm). In addition, it was found that nucleation mode appeared first, followed by an air plume of dust particles twelve (12) hours later. The nucleation component from the PCA could be used as predictors of arrival time for an ADS. Taking into account the effects of meteorological conditions and employing technique of backward trajectories, PCA can be utilized as a powerful tool to better identify the source of dust storms and provide accurate results.

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Chemical Composition of Fine and Coarse Aerosol Particles in the Central Mediterranean Area during Dust and Non-Dust Conditions

Cited by 31 publications

References 61 publications

On the complexity of the boundary layer structure and aerosol vertical distribution in the coastal Mediterranean regions: a case study

On the complexity of the boundary layer structure and aerosol vertical distribution in the coastal Mediterranean regions: a case study

Accuracy of Advanced and Traditional Three-Way Factor Analysis Models for Determining Source Contributions to Particulate Matter

Source Apportionment of Submicron Particle Size Distribution and PM2.5 Composition during an Asian Dust Storm Period in Two Urban Atmospheres

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