Spatial and temporal variations of PM1, PM2.5, PM10 and particle number concentration during the AUPHEP—project

Gomišček, Boštjan; Hauck, H; Stopper, Silke; Preining, O.

doi:10.1016/j.atmosenv.2004.03.056

Cited by 162 publications

(86 citation statements)

References 45 publications

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“…Such high proportions (>60% of PM 1 in PM 10 ) as obtained during Storm 1 have been reported for urban air pollution, but not for natural dust. The PM 1 proportion of 57%-60% in PM 10 was found, for example, at four sites in Austria [41] while the PM 1 /PM 10 ratio between 0.45 and 0.74 was found at a polluted urban site of Taipei in Taiwan [42]. Table 1 shows that the PM 1 /PM 2.5 ratio ranged from 0.89 to 0.94, thereby confirming that most of the fine dust particles were of submicron size.…”

Section: Size Partitioning Of the Pm Components Of Icelandic Dustmentioning

confidence: 55%

“…The PM1/PM2.5 ratio was 0.49 during dust events in the USA [39] while the PM1/PM2.5 was ranging from 0.05 to 0.8, with a corresponding mean value 0.55, during dust storms in Iran [10]. Values such as 90% of PM1/PM2.5 were reported from urban sites or cities such Graz in Austria [41]. High PM1/PM2.5 and PM1/PM10 ratios imply that PM2.5 or PM10 mainly consist of submicron particles that have a greater health impact than larger particles [6,10,12].…”

Section: Size Partitioning Of the Pm Components Of Icelandic Dustmentioning

confidence: 99%

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The Spatial Variation of Dust Particulate Matter Concentrations during Two Icelandic Dust Storms in 2015

Dagsson-Waldhauserová

Magnúsdóttir

Ólafsson

2016

Atmosphere

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Particulate matter mass concentrations and size fractions of PM 1 , PM 2.5 , PM 4 , PM 10 , and PM 15 measured in transversal horizontal profile of two dust storms in southwestern Iceland are presented. Images from a camera network were used to estimate the visibility and spatial extent of measured dust events. Numerical simulations were used to calculate the total dust flux from the sources as 180,000 and 280,000 tons for each storm. The mean PM 15 concentrations inside of the dust plumes varied from 10 to 1600 µg¨m´3 (PM 10 = 7 to 583 µg¨m´3). The mean PM 1 concentrations were 97-241 µg¨m´3 with a maximum of 261 µg¨m´3 for the first storm. The PM 1 /PM 2.5 ratios of >0.9 and PM 1 /PM 10 ratios of 0.34-0.63 show that suspension of volcanic materials in Iceland causes air pollution with extremely high PM 1 concentrations, similar to polluted urban areas in Europe or Asia. Icelandic volcanic dust consists of a higher proportion of submicron particles compared to crustal dust. Both dust storms occurred in relatively densely inhabited areas of Iceland. First results on size partitioning of Icelandic dust presented here should challenge health authorities to enhance research in relation to dust and shows the need for public dust warning systems.

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Section: Size Partitioning Of the Pm Components Of Icelandic Dustmentioning

confidence: 55%

Section: Size Partitioning Of the Pm Components Of Icelandic Dustmentioning

confidence: 99%

The Spatial Variation of Dust Particulate Matter Concentrations during Two Icelandic Dust Storms in 2015

Dagsson-Waldhauserová

Magnúsdóttir

Ólafsson

2016

Atmosphere

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“…For Taipei, Li and Lin [63] obtained PM1/PM2.5 mass ratios as high as 0.90 in the traffic station using trichotomous samplers for sampling of the three PM fractions. Gomišček et al [64] found at the urban site PM1 accounted for 82% of PM2.5 and for 57% of PM10 as an annual average; for the corresponding rural site the portion of PM1 with 84% of PM2.5 and 60% of PM10 was even higher. This relatively small difference between PM1 and PM2.5 suggests that there are almost no emission sources in this range and that fine PM is rather influenced by air mass transport.…”

Section: Temporal Variation In Particulate Mass Concentration Inside mentioning

confidence: 99%

The Concentrations and Reduction of Airborne Particulate Matter (PM10, PM2.5, PM1) at Shelterbelt Site in Beijing

Chen

Sun

et al. 2015

Atmosphere

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Particulate matter is a serious source of air pollution in urban areas, where it exerts adverse effects on human health. This article focuses on the study of subduction of shelterbelts for atmospheric particulates. The results suggest that (1) the PM mass concentration is higher in the morning or both morning and noon inside the shelterbelts and lower mass concentrations at other times; (2) the particle mass concentration inside shelterbelt is higher than outside; (3) the particle interception efficiency of the two forest belts over the three months in descending order was PM10 > PM1 > PM2.5; and (4) the two shelterbelts captured air pollutants at rates of 1496.285 and 909.075 kg/month and the major atmospheric pollutant in Beijing city is PM10. Future research directions are to study PM mass concentration variation of shelterbelt with different tree species and different configuration.

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“…Seasonal variations of PM 1 in that study followed the sequence of winter (67.1 µg m -3 ) > autumn (52.2 µg m -3 ) > summer (24.5 µg m -3 ). Another study by GomišŁek et al (2004) showed that the mean PM 1 levels at four sites in Austria ranged from 1.2 µg m -3 to 75.1 µg m -3 and averaged 16.0 µg m -3 .…”

Section: Seasonal Variations Of Pm 1 Massmentioning

confidence: 99%

Chemical Characteristics of Fine Particles (PM₁) from Xi'an, China

Shen

Cao

Arimoto

et al. 2010

Aerosol Science and Technology

100

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Daily mass concentrations of water-soluble inorganic (WS-i) ions, organic carbon (OC), and elemental carbon (EC) were determined for fine particulate matter (PM 1 , particles < 1.0 µm in diameter) collected at Xi'an, China. The annual mean PM 1 mass concentration was 127.3 ± 62.1 µg m -3 : WS-i ions accounted for ∼38% of the PM 1 mass; carbonaceous aerosol was ∼30%; and an unidentified fraction, probably mostly mineral dust, was ∼32%. WS-i ions and carbonaceous aerosol were the dominant species in winter and autumn, whereas the unidentified fraction had stronger influences in spring and summer. Ion balance calculations indicate that PM 1 was more acidic than PM 2.5 from the same site. PM 1 mass, sulfate and nitrate concentrations followed the order winter > spring > autumn > summer, but OC and EC levels were higher in autumn than spring. Annual mean OC and EC concentrations were 21.0 ± 12.0 µg m −3 and 5.1 ± 2.7 µg m -3 with high OC/EC ratios, presumably reflecting emissions from coal combustion and biomass burning. Secondary organic carbon, estimated from the minimum OC/EC ratios, comprised 28.9% of the OC. Positive matrix factorization (PMF) analysis indicates that secondary aerosol and combustion emissions were the major sources for PM 1 .

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Spatial and temporal variations of PM1, PM2.5, PM10 and particle number concentration during the AUPHEP—project

Cited by 162 publications

References 45 publications

The Spatial Variation of Dust Particulate Matter Concentrations during Two Icelandic Dust Storms in 2015

The Spatial Variation of Dust Particulate Matter Concentrations during Two Icelandic Dust Storms in 2015

The Concentrations and Reduction of Airborne Particulate Matter (PM10, PM2.5, PM1) at Shelterbelt Site in Beijing

Chemical Characteristics of Fine Particles (PM₁) from Xi'an, China

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Spatial and temporal variations of PM1, PM2.5, PM10 and particle number concentration during the AUPHEP—project

Cited by 162 publications

References 45 publications

The Spatial Variation of Dust Particulate Matter Concentrations during Two Icelandic Dust Storms in 2015

The Spatial Variation of Dust Particulate Matter Concentrations during Two Icelandic Dust Storms in 2015

The Concentrations and Reduction of Airborne Particulate Matter (PM10, PM2.5, PM1) at Shelterbelt Site in Beijing

Chemical Characteristics of Fine Particles (PM1) from Xi'an, China

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About

Chemical Characteristics of Fine Particles (PM₁) from Xi'an, China