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Journals / Atmospheric Pollution Research / 2018 / Cilt: 9 - Sayı: 6

Intra-urban variability of the intake fraction from multiple emission sources

Piotr HOLNİCKİ
Andrzej KAŁUSZKO
Zbigniew NAHORSKİ
Marko TAİNİO
Pages
1184–1193
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The emission field comprised 24 high(power generation) and 3880 low (industry) point sources, 7285 mobile (transport) sources, and 6962 area(housing) sources.Results: The aggregated iFs values are computed for each emission class and the related polluting compounds.Intra-urban variability maps of iFs are attributed to an emission sources by emission category and pollutant.Conclusions: Intake fraction is shown as a decision support tool for implementing the cost-effective emissionpolicy and reducing the health risk of air pollution.

📌 3 Key Takeaways

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Objective & Hypothesis:Background: Ambient air pollution and associated adverse health effects are among most acute environmentalproblems in many cities worldwide.
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Key Findings & Data:Intake fraction is a metric thatrepresents emission-to-intake relationship and characterizes abatement of exposure potential attributed tospecific emission sources.Aim: In this study, the spatial variability of iF in Warsaw agglomeration, Poland, is discussed.Methods: The iF analysis is based on the earlier air quality modeling results, that include the main pollutantscharacterizing an urban atmospheric environment (SO 2 , NOx, PM 10 , PM 2.5 , CO, C 6 H 6 , B(a)P, heavy metals).
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Conclusion & Impact:The emission field comprised 24 high(power generation) and 3880 low (industry) point sources, 7285 mobile (transport) sources, and 6962 area(housing) sources.Results: The aggregated iFs values are computed for each emission class and the related polluting compounds.Intra-urban variability maps of iFs are attributed to an emission sources by emission category and pollutant.Conclusions: Intake fraction is shown as a decision support tool for implementing the cost-effective emissionpolicy and reducing the health risk of air pollution.
🔬Design:Modeling & Simulation
📍Scope:2012 Verileri
⚙️Variables:Domain Parameters

Özet

Background: Ambient air pollution and associated adverse health effects are among most acute environmentalproblems in many cities worldwide. The intake fraction (iF) approach can be applied for evaluating the healthbenefits of reducing emissions, especially when rapid decisions are needed. Intake fraction is a metric thatrepresents emission-to-intake relationship and characterizes abatement of exposure potential attributed tospecific emission sources.Aim: In this study, the spatial variability of iF in Warsaw agglomeration, Poland, is discussed.Methods: The iF analysis is based on the earlier air quality modeling results, that include the main pollutantscharacterizing an urban atmospheric environment (SO 2 , NOx, PM 10 , PM 2.5 , CO, C 6 H 6 , B(a)P, heavy metals). Theannual mean concentrations were computed by the CALPUFF modeling system (spatial resolution 0.5 × 0.5 km 2 )on the basis of the emission and meteorological data from year 2012. The emission field comprised 24 high(power generation) and 3880 low (industry) point sources, 7285 mobile (transport) sources, and 6962 area(housing) sources.Results: The aggregated iFs values are computed for each emission class and the related polluting compounds.Intra-urban variability maps of iFs are attributed to an emission sources by emission category and pollutant.Conclusions: Intake fraction is shown as a decision support tool for implementing the cost-effective emissionpolicy and reducing the health risk of air pollution.

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Cite This Article

HOLNİCKİ, P., KAŁUSZKO, A., NAHORSKİ, Z., TAİNİO, M. (2018). Intra-urban variability of the intake fraction from multiple emission sources. Atmospheric Pollution Research, Cilt: 9 - Sayı: 6, 1184–1193. https://ajindex.com/articles/351344

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