Dust particulate absorption by ivy (Hedera helix L) on historic walls in urban environments

Sternberg, Troy; Viles, Heather; Cathersides, Alan; Edwards, Mona

doi:10.1016/j.scitotenv.2010.09.022

Cited by 112 publications

(58 citation statements)

References 22 publications

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“…A third reason for the observed seasonality may involve vegetation. Plant leaves play an important role in cleaning the air (Mitchell et al, 2010;Yin et al, 2011) and accumulating particles (Sternberg et al, 2010;Popek et al, 2013). North China has a temperate climate, and the leaves of deciduous species fall in the winter.…”

Section: Temporal Characteristics Of Pm 25 Concentrationsmentioning

confidence: 99%

The spatial-temporal characteristics and health impacts of ambient fine particulate matter in China

Song

Wang

Maher

et al. 2016

Journal of Cleaner Production

104

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a b s t r a c tAirborne particulate matter presents a serious health threat to human beings, but in China there have until now been few epidemiological studies, especially regarding the impact of ambient fine particulate matter (PM 2.5 ). This study explored first the temporal and spatial characteristics of ambient airborne PM 2.5 in China, 2013. Mortality, respiratory diseases, cardiovascular diseases, and chronic bronchitis were then evaluated as four health endpoints attributed to PM 2.5 . The results showed that the average annual were the least polluted months. The most highly polluted areas were concentrated in North China. In terms of the health endpoints attributable to PM 2.5 , there were 763,595 mortality, 149,754 cardiovascular diseases, 446,035 respiratory diseases, and 2,389,035 chronic bronchitis cases. Results were very important to clarify the current PM 2.5 pollution situation and the health impact of PM 2.5 in China. And also provided a reference for the assessing damage caused by PM 2.5 pollution.

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Section: Temporal Characteristics Of Pm 25 Concentrationsmentioning

confidence: 99%

The spatial-temporal characteristics and health impacts of ambient fine particulate matter in China

Song

Wang

Maher

et al. 2016

Journal of Cleaner Production

104

View full text Add to dashboard Cite

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“…At the leaf scale, PM deposition on leaf surfaces (accounting for most of the PM capture) occurs by four depositing processes: sedimentation caused by gravity; diffusion derived by Brownian motion; and impaction and interception resulting from turbulent flow (FreerSmith et al, 2005;Sternberg et al, 2010). Sedimentation principally affects the deposition of large PM (Freer-Smith et al, 2005), impaction and interception affect fine and coarse particle deposition, and Brownian motion leads to the deposition of ultrafine particles.…”

Section: Introductionmentioning

confidence: 99%

Particulate matter deposited on leaf of five evergreen species in Beijing, China: Source identification and size distribution

Song

Maher

et al. 2015

Atmospheric Environment

195

108

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“…Tree structure disrupts the airflow inside the shelterbelt and increases impact and interception [13]. Owing to the specific aerodynamic properties of conifers, they have been shown to capture more particles than broad-leaved trees [7,15,21,22] PM deposition on leaf surfaces (accounting for most of the PM capture) occurs by four depositing process: sedimentation caused by gravity; diffusion derived by Brownian motion; and impaction and interception resulting from turbulent flow [7,23]. Sedimentation principally affects the deposition of large PM (10-100 μm) [7], impaction and interception affect the deposition of particles larger than 0.5 μm [24], and Brownian motion leads to the deposition of ultrafine particles (<0.1 μm).…”

Section: Introductionmentioning

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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Dust particulate absorption by ivy (Hedera helix L) on historic walls in urban environments

Cited by 112 publications

References 22 publications

The spatial-temporal characteristics and health impacts of ambient fine particulate matter in China

The spatial-temporal characteristics and health impacts of ambient fine particulate matter in China

Particulate matter deposited on leaf of five evergreen species in Beijing, China: Source identification and size distribution

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

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