Intake fractions of industrial air pollutants in China: Estimation and application

Intake fractions, an emissions-intake relationship for primary pollutants, are defined and are estimated in order to make simple estimates of health damages from air pollution. The sulfur dioxide (SO 2) and total suspended particles (TSP) intake fractions for five cities of China are estimated for t...

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Published inThe Science of the total environment Vol. 354; no. 2; pp. 127 - 141
Main Authors Wang, Shuxiao, Hao, Jiming, Ho, Mun S., Li, Ji, Lu, Yongqi
Format Journal Article
LanguageEnglish
Published Shannon Elsevier B.V 01.02.2006
Elsevier Science
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Abstract Intake fractions, an emissions-intake relationship for primary pollutants, are defined and are estimated in order to make simple estimates of health damages from air pollution. The sulfur dioxide (SO 2) and total suspended particles (TSP) intake fractions for five cities of China are estimated for the four main polluting industries—electric power generation, mineral (mostly cement) products industry, chemical process industry and metallurgical industry (mainly iron and steel smelting). The Industrial Source Complex Long Term (ISTLT3) model is used to simulate the spatial distribution of incremental ambient concentrations due to emissions from a large sample of site-specific sources. Detailed population distribution information is used for each city. The average intake fractions within 50 km of these sources are 4.4 × 10 - 6 for TSP, and 4.2 × 10 - 6 for SO 2, with standard deviations of 8.15 × 10 - 6 and 9.16 × 10 - 6 , respectively. They vary over a wide range, from 10 - 7 to 10 - 5 . Although the electric power generation has been the focus of much of the air pollution research in China, our results show that it has the lowest average intake fraction for a local range among the four industries, which highlights the importance of pollutant emissions from other industrial sources. Sensitivity analyses show how the intake fractions are affected by the source and pollutant characteristics, the most important parameter being the size of the domain. However, the intake fraction estimates are robust enough to be useful for evaluating the local impacts on human health of primary SO 2 and TSP emissions. An application of intake fractions is given to demonstrate how this approach provides a rapid population risk estimate if the dose-response function is linear without threshold, and hence can help in prioritizing pollution control efforts.
AbstractList Intake fractions, an emissions-intake relationship for primary pollutants, are defined and are estimated in order to make simple estimates of health damages from air pollution. The sulfur dioxide (SO sub(2)) and total suspended particles (TSP) intake fractions for five cities of China are estimated for the four main polluting industries; electric power generation, mineral (mostly cement) products industry, chemical process industry and metallurgical industry (mainly iron and steel smelting). The Industrial Source Complex Long Term (ISTLT3) model is used to simulate the spatial distribution of incremental ambient concentrations due to emissions from a large sample of site-specific sources. Detailed population distribution information is used for each city. The average intake fractions within 50 km of these sources are 4.4 x 10 super(- 6) for TSP, and 4.2 x 10 super(- 6) for SO sub(2), with standard deviations of 8.15 x 10 super(- 6) and 9.16 x 10 super(- 6), respectively. They vary over a wide range, from 10 super(- 7) to 10 super(- 5). Although the electric power generation has been the focus of much of the air pollution research in China, our results show that it has the lowest average intake fraction for a local range among the four industries, which highlights the importance of pollutant emissions from other industrial sources. Sensitivity analyses show how the intake fractions are affected by the source and pollutant characteristics, the most important parameter being the size of the domain. However, the intake fraction estimates are robust enough to be useful for evaluating the local impacts on human health of primary SO sub(2) and TSP emissions. An application of intake fractions is given to demonstrate how this approach provides a rapid population risk estimate if the dose-response function is linear without threshold, and hence can help in prioritizing pollution control efforts.
To estimate the health damages from air pollution, the intake fractions and an emissions-intake relationship for primary pollutants are estimated. The sulfur dioxide and total suspended particles (TSP) intake fractions for five cities of China are estimated for the four main polluting industries namely, electric power generation, mineral products industry, chemical process industry, and metallurgical industry. The Industrial Source Complex Long Term (ISTLT3) model is used to simulate the spatial distribution of incremental ambient concentrations due to emissions from a large sample of site-specific source. The intake fraction estimates are robust enough to be useful for evaluating the local impacts on human health of primary SO sub(2) and TSP emissions.
Intake fractions, an emissions-intake relationship for primary pollutants, are defined and are estimated in order to make simple estimates of health damages from air pollution. The sulfur dioxide (SO2) and total suspended particles (TSP) intake fractions for five cities of China are estimated for the four main polluting industries-electric power generation, mineral (mostly cement) products industry, chemical process industry and metallurgical industry (mainly iron and steel smelting). The Industrial Source Complex Long Term (ISTLT3) model is used to simulate the spatial distribution of incremental ambient concentrations due to emissions from a large sample of site-specific sources. Detailed population distribution information is used for each city. The average intake fractions within 50 km of these sources are 4.4x10(-6) for TSP, and 4.2x10(-6) for SO2, with standard deviations of 8.15x10(-6) and 9.16x10(-6), respectively. They vary over a wide range, from 10(-7) to 10(-5). Although the electric power generation has been the focus of much of the air pollution research in China, our results show that it has the lowest average intake fraction for a local range among the four industries, which highlights the importance of pollutant emissions from other industrial sources. Sensitivity analyses show how the intake fractions are affected by the source and pollutant characteristics, the most important parameter being the size of the domain. However, the intake fraction estimates are robust enough to be useful for evaluating the local impacts on human health of primary SO2 and TSP emissions. An application of intake fractions is given to demonstrate how this approach provides a rapid population risk estimate if the dose-response function is linear without threshold, and hence can help in prioritizing pollution control efforts.
Intake fractions, an emissions-intake relationship for primary pollutants, are defined and are estimated in order to make simple estimates of health damages from air pollution. The sulfur dioxide (SO2) and total suspended particles (TSP) intake fractions for five cities of China are estimated for the four main polluting industries-electric power generation, mineral (mostly cement) products industry, chemical process industry and metallurgical industry (mainly iron and steel smelting). The Industrial Source Complex Long Term (ISTLT3) model is used to simulate the spatial distribution of incremental ambient concentrations due to emissions from a large sample of site-specific sources. Detailed population distribution information is used for each city. The average intake fractions within 50 km of these sources are 4.4 x 10-6 for TSP, and 4.2 x 10-6 for SO2, with standard deviations of 8.15 x 10-6 and 9.16 x 10-6, respectively. They vary over a wide range, from 10-7 to 10-5. Although the electric power generation has been the focus of much of the air pollution research in China, our results show that it has the lowest average intake fraction for a local range among the four industries, which highlights the importance of pollutant emissions from other industrial sources. Sensitivity analyses show how the intake fractions are affected by the source and pollutant characteristics, the most important parameter being the size of the domain. However, the intake fraction estimates are robust enough to be useful for evaluating the local impacts on human health of primary SO2 and TSP emissions. An application of intake fractions is given to demonstrate how this approach provides a rapid population risk estimate if the dose-response function is linear without threshold, and hence can help in prioritizing pollution control efforts.
Intake fractions, an emissions-intake relationship for primary pollutants, are defined and are estimated in order to make simple estimates of health damages from air pollution. The sulfur dioxide (SO 2) and total suspended particles (TSP) intake fractions for five cities of China are estimated for the four main polluting industries—electric power generation, mineral (mostly cement) products industry, chemical process industry and metallurgical industry (mainly iron and steel smelting). The Industrial Source Complex Long Term (ISTLT3) model is used to simulate the spatial distribution of incremental ambient concentrations due to emissions from a large sample of site-specific sources. Detailed population distribution information is used for each city. The average intake fractions within 50 km of these sources are 4.4 × 10 - 6 for TSP, and 4.2 × 10 - 6 for SO 2, with standard deviations of 8.15 × 10 - 6 and 9.16 × 10 - 6 , respectively. They vary over a wide range, from 10 - 7 to 10 - 5 . Although the electric power generation has been the focus of much of the air pollution research in China, our results show that it has the lowest average intake fraction for a local range among the four industries, which highlights the importance of pollutant emissions from other industrial sources. Sensitivity analyses show how the intake fractions are affected by the source and pollutant characteristics, the most important parameter being the size of the domain. However, the intake fraction estimates are robust enough to be useful for evaluating the local impacts on human health of primary SO 2 and TSP emissions. An application of intake fractions is given to demonstrate how this approach provides a rapid population risk estimate if the dose-response function is linear without threshold, and hence can help in prioritizing pollution control efforts.
Author Hao, Jiming
Lu, Yongqi
Li, Ji
Wang, Shuxiao
Ho, Mun S.
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Issue 2
Keywords Population exposure
Industrial air pollution
Sulfur dioxide
Particles
Human
Chemical industry
Cement industry
Pollution control
Metallurgical industry
Exposure
Urban area
Pollutant emission
Long term
Modeling
Suspended particle
Spatial distribution
Health and environment
Air pollution
Industrial area
Electric power industry
Public health
Language English
License CC BY 4.0
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Snippet Intake fractions, an emissions-intake relationship for primary pollutants, are defined and are estimated in order to make simple estimates of health damages...
To estimate the health damages from air pollution, the intake fractions and an emissions-intake relationship for primary pollutants are estimated. The sulfur...
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SubjectTerms Air
Air Pollutants - analysis
Air Pollutants - toxicity
Biological and medical sciences
Chemical Industry
China
Dust - analysis
Environmental Monitoring
Environmental pollutants toxicology
Humans
Industrial air pollution
Inhalation Exposure
Medical sciences
Metallurgy
Minerals
Models, Theoretical
Particle Size
Particles
Population exposure
Power Plants
Sulfur dioxide
Sulfur Dioxide - analysis
Sulfur Dioxide - toxicity
Toxicology
Title Intake fractions of industrial air pollutants in China: Estimation and application
URI https://dx.doi.org/10.1016/j.scitotenv.2005.01.045
https://www.ncbi.nlm.nih.gov/pubmed/16398989
https://search.proquest.com/docview/14769685
https://search.proquest.com/docview/19769196
https://search.proquest.com/docview/28769180
https://search.proquest.com/docview/29456455
https://search.proquest.com/docview/29823379
Volume 354
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