World air particulate matter: sources, distribution and health effects

Mukherjee, Arpan; Agrawal, Madhoolika

doi:10.1007/s10311-017-0611-9

Cited by 233 publications

(102 citation statements)

References 175 publications

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“…This is an equilibrium reaction and thus the transition from solid to gaseous phase depends on relative humidity (e.g. Fagerli and Ass, 2008;Pakkanen, 1996). This shows that, for example, a reduction in NO x over a country, which impacts the selected city, does not necessarily only impact the NO − 3 over this city but may also have an effect Figure 7.…”

Section: In the Emep Calculationsmentioning

confidence: 99%

Prediction of source contributions to urban background PM<sub>10</sub> concentrations in European cities: a case study for an episode in December 2016 using EMEP/MSC-W rv4.15 and LOTOS-EUROS v2.0 – Part 1: The country contributions

et al. 2020

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Published by Copernicus Publications on behalf of the European Geosciences Union. 1788M. Pommier et al.: Prediction of source contributions to PM 10 concentrations in European cities country contributor for primary (emitted) species (70 % is found for primary organic matter (POM) and 80 % for elemental carbon -EC) than for the inorganic secondary component of the aerosol (50 %), which is predictable due to the conceptual differences in the source attribution used by both models. The country contribution calculated by the scenario approach depends on the chemical regime, which largely impacts the secondary components, unlike the calculation using the labelling approach.Geosci. Model Dev.,

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Section: In the Emep Calculationsmentioning

confidence: 99%

Prediction of source contributions to urban background PM<sub>10</sub> concentrations in European cities: a case study for an episode in December 2016 using EMEP/MSC-W rv4.15 and LOTOS-EUROS v2.0 – Part 1: The country contributions

et al. 2020

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“…Air pollution is a momentous global issue, the greatest environmental hazard to human health, and responsible for approximately one in every nine deaths each year 1 . It is of particular concern in urban areas, where elevated pollutant concentrations and potential sufferers converge [2][3][4] . This is intensified by projected global population growth 5 , increased urbanisation 1 and impacts of climate change on atmospheric conditions and weather variability 6 .…”

Section: Introductionmentioning

confidence: 99%

Designing vegetation barriers for urban air pollution abatement: a practical review for appropriate plant species selection

2020

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Vegetation can form a barrier between traffic emissions and adjacent areas, but the optimal configuration and plant composition of such green infrastructure (GI) are currently unclear. We examined the literature on aspects of GI that influence ambient air quality, with a particular focus on vegetation barriers in open-road environments. Findings were critically evaluated in order to identify principles for effective barrier design, and recommendations regarding plant selection were established with reference to relevant spatial scales. As an initial investigation into viable species for UK urban GI, we compiled data on 12 influential traits for 61 tree species, and created a supplementary plant selection framework. We found that if the scale of the intervention, the context and conditions of the site and the target air pollutant type are appreciated, the selection of plants that exhibit certain biophysical traits can enhance air pollution mitigation. For super-micrometre particles, advantageous leaf micromorphological traits include the presence of trichomes and ridges or grooves. Stomatal characteristics are more significant for sub-micrometre particle and gaseous pollutant uptake, although we found a comparative dearth of studies into such pollutants. Generally advantageous macromorphological traits include small leaf size and high leaf complexity, but optimal vegetation height, form and density depend on planting configuration with respect to the immediate physical environment. Biogenic volatile organic compound and pollen emissions can be minimised by appropriate species selection, although their significance varies with scale and context. While this review assembled evidence-based recommendations for practitioners, several important areas for future research were identified.

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“…Combustion sources (traffic, biomass burning and industrial processes) emit more fine particles, whereas mechanical processes (crushing, gridding and construction activities) contribute to coarse fraction of PM [33].…”

Section: Pm 25 /Pm 10 Ratiomentioning

confidence: 99%

Seasonal impact to air qualities in industrial areas of the Arabian Gulf region

Al-Taani

Howari

Nazzal

et al. 2017

Environmental Engineering Research

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Air quality conditions and pollution status have been evaluated in the industrial area between Sharjah and Ajman border in UAE. Daily concentrations of O3, CO, NO2, SO2, PM2.5, PM10, Total Volatile Organic Compounds (TVOC) and Total Suspended Particulate (TSP) have been monitored from Sept. 2015 to April 2016. The monthly average concentrations of O3, CO, NO2, SO2, TVOC were within the UAE ambient air quality standards during the survey period. However, PM10 and TSP levels exceeded the recommended limits in Sept. 2015, Oct. 2015 and March 2016. Temporal variations in air quality parameters showed highest levels in March 2016 for PM2.5, PM10, NO2, TVOC and TSP, whereas O3, SO2 and CO showed relatively low values in this month. PM2.5 levels in ambient air were above the EPA guideline of 35 μg/m³ in all months. PM2.5 was the critical ambient air pollutant with Index for Pollutant (Ip) values varying from 103-209, indicating Air Quality Index categories of unhealthy for sensitive groups (62.5%) to unhealthy (25%) to very unhealthy (12.5%). The Ip average values of PM2.5 decreased from Sept. 2015 to reach lowest value in Dec. 2015 before increasing gradually, peaking in March 2016. These results suggest the potential health risks associated with PM2.5 is low in winter, where the prevailing meteorological conditions of lower temperatures, higher humidity, higher wind speed reduced particulate matter. The results revealed the industrial area is impacted by anthropogenic and natural sources of particulate matter.

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World air particulate matter: sources, distribution and health effects

Cited by 233 publications

References 175 publications

Prediction of source contributions to urban background PM<sub>10</sub> concentrations in European cities: a case study for an episode in December 2016 using EMEP/MSC-W rv4.15 and LOTOS-EUROS v2.0 – Part 1: The country contributions

Prediction of source contributions to urban background PM<sub>10</sub> concentrations in European cities: a case study for an episode in December 2016 using EMEP/MSC-W rv4.15 and LOTOS-EUROS v2.0 – Part 1: The country contributions

Designing vegetation barriers for urban air pollution abatement: a practical review for appropriate plant species selection

Seasonal impact to air qualities in industrial areas of the Arabian Gulf region

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World air particulate matter: sources, distribution and health effects

Cited by 233 publications

References 175 publications

Prediction of source contributions to urban background PM&lt;sub&gt;10&lt;/sub&gt; concentrations in European cities: a case study for an episode in December 2016 using EMEP/MSC-W rv4.15 and LOTOS-EUROS v2.0 – Part 1: The country contributions

Prediction of source contributions to urban background PM&lt;sub&gt;10&lt;/sub&gt; concentrations in European cities: a case study for an episode in December 2016 using EMEP/MSC-W rv4.15 and LOTOS-EUROS v2.0 – Part 1: The country contributions

Designing vegetation barriers for urban air pollution abatement: a practical review for appropriate plant species selection

Seasonal impact to air qualities in industrial areas of the Arabian Gulf region

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Product

Resources

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Prediction of source contributions to urban background PM<sub>10</sub> concentrations in European cities: a case study for an episode in December 2016 using EMEP/MSC-W rv4.15 and LOTOS-EUROS v2.0 – Part 1: The country contributions

Prediction of source contributions to urban background PM<sub>10</sub> concentrations in European cities: a case study for an episode in December 2016 using EMEP/MSC-W rv4.15 and LOTOS-EUROS v2.0 – Part 1: The country contributions