Studies of the coarse particle (2.5–10μm) component in UK urban atmospheres

Harrison, Roy M.; Yin, Jianxin; Mark, D.; Stedman, John; Appleby, Robert S.; Booker, Jeff; Moorcroft, Steven

doi:10.1016/s1352-2310(00)00526-4

Cited by 207 publications

(133 citation statements)

References 21 publications

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“…Following the 2008 Olympic Games, air pollution problems in Beijing became a public focus around the world. Since Beijing PM 2.5 real -time data was published by the U.S. Consulate in 2008, it has attracted wide attention on air pollution in Beijing, the capital of China [3].…”

Section: Introductionmentioning

confidence: 99%

“…The yearly air pollutants concentrations were the highest in [2005][2006], and had a clear decline in 2008. In 2013, the percentage of high-pollution days in Beijing was 52%, the average yearly concentration of PM 2.5 was 101 ug/m 3 , the average yearly concentration of PM 10 was 108 ug/m 3 , and the average yearly concentration of SO 2 and NOx were 26 ug/m 3 and 56 ug/m 3 respectively. The air quality guidelines from World Health Organization (WHO) shows that the yearly average concentration of PM 2.5 < 10 ug/m 3 , PM 10 < 20 ug/m 3 , SO 2 < 20 ug/m 3 and NOx < 40 ug/m 3 are the thresholds of unhealthy atmospheric pollutants.…”

Section: Introductionmentioning

confidence: 99%

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Influence of Social-economic Activities on Air Pollutants in Beijing, China

Zheng

Yin

et al. 2017

Open Geosciences

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Abstract:With the rapid economic development, the serious air pollution in Beijing attracts increasing attention in the last decade. Seen as one whole complex and grey system, the causal relationship between the social development and the air pollution in Beijing has been quantitatively analyzed in this paper. By using the grey relational model, the aim of this study is to explore how the socio-economic and human activities affect on the air pollution in the city of Beijing, China. Four air pollutants, as the particulate matter with size 2.5 micrometers or less (PM 2.5 ), particulate matter with size 10 micrometers or less (PM 10 ), sulfur dioxide (SO 2 ) and nitrogen dioxide (NOx), are selected as the indicators of air pollution. Additionally, fifteen socio-economic indicators are selected to account for the regional socio-economic characteristics (economy variables, energy consumption variables, pollution emissions variables, environment and construction activity variables). The results highlight that all variables are associated with the concentrations of the four selected air pollutants, but with notable differences between the air pollutants. Most of the socio-economic indicators, such as industrial output, total energy consumption are highly correlated with PM 2.5 , while PM 10 , SO 2 , and NOx present in general moderate correlations with most of the socioeconomic variables. Contrary to other studies and reports this study reveals that vehicles and life energy do not have

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Influence of Social-economic Activities on Air Pollutants in Beijing, China

Zheng

Yin

et al. 2017

Open Geosciences

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“…The coarse component, up to about 10 µm, was also identified in the kaolinite and ambient air samples. In particular, a defined mode at ∼ 4 µm was detected in the number distribution of ambient air particles, and may be linked to the presence of soot aggregates, tire abrasions, resuspended road dust, or bioaerosols (Harrison et al, 2001;Bauer et al, 2008;Pakbin et al, 2010;Liu and Harrison, 2011). The D eff,fine varied between 0.24 and 0.62 µm and the D eff,coarse between 2.3 and 6.2 µm for the different cases (Table 2).…”

Section: Dependence Of C Ref On Particles Sizementioning

confidence: 94%

Aethalometer multiple scattering correction <i>C</i><sub>ref</sub> for mineral dust aerosols

et al. 2017

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Abstract. In this study we provide a first estimate of the Aethalometer multiple scattering correction C ref for mineral dust aerosols. C ref is an empirical constant used to correct the aerosol absorption coefficient measurements for the multiple scattering artefact of the Aethalometer; i.e. the filter fibres on which aerosols are deposited scatter light and this is miscounted as absorption. The C ref at 450 and 660 nm was obtained from the direct comparison of Aethalometer data (Magee Sci. AE31) with (i) the absorption coefficient calculated as the difference between the extinction and scattering coefficients measured by a Cavity Attenuated Phase Shift Extinction analyser (CAPS PMex) and a nephelometer respectively at 450 nm and (ii) the absorption coefficient from a MAAP (Multi-Angle Absorption Photometer) at 660 nm. Measurements were performed on seven dust aerosol samples generated in the laboratory by the mechanical shaking of natural parent soils issued from different source regions worldwide. The single scattering albedo (SSA) at 450 and 660 nm and the size distribution of the aerosols were also measured.

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“…All these measurements were made during the days when there was precipitation. The cluster 3 has the residences with more coarse particles (stage A) than the other PM sizes, mainly due to wind speed being higher during the measurements that would have favoured the resuspension of coarse particles (Harrison et al, 2001;Kumar et al, 2015). The cluster 4 has the same profile like as the cluster 1, but with less mass concentration, whereas the cluster 5 has a different profile with the maximum concentrations in PM 0.5-0.25 (stage D).…”

Section: Influence Of Outdoor Meteorological Conditions On the Indoormentioning

confidence: 97%

Size–segregated particulate matter inside residences of elderly in the Metropolitan Area of São Paulo, Brazil

Segalin

Kumar

Micadei

et al. 2017

Atmospheric Environment

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Studies of the coarse particle (2.5–10μm) component in UK urban atmospheres

Cited by 207 publications

References 21 publications

Influence of Social-economic Activities on Air Pollutants in Beijing, China

Influence of Social-economic Activities on Air Pollutants in Beijing, China

Aethalometer multiple scattering correction <i>C</i><sub>ref</sub> for mineral dust aerosols

Size–segregated particulate matter inside residences of elderly in the Metropolitan Area of São Paulo, Brazil

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Studies of the coarse particle (2.5–10μm) component in UK urban atmospheres

Cited by 207 publications

References 21 publications

Influence of Social-economic Activities on Air Pollutants in Beijing, China

Influence of Social-economic Activities on Air Pollutants in Beijing, China

Aethalometer multiple scattering correction &lt;i&gt;C&lt;/i&gt;&lt;sub&gt;ref&lt;/sub&gt; for mineral dust aerosols

Size–segregated particulate matter inside residences of elderly in the Metropolitan Area of São Paulo, Brazil

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Product

Resources

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Aethalometer multiple scattering correction <i>C</i><sub>ref</sub> for mineral dust aerosols