Difference between revisions of "ISES2009 Poster Abstract: Exposure of Finnish subpopulations to fine particles due domestic wood combustion"

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Many previous studies has proved that PPM2.5 (primary fine particles with aerodynamic diameter ≤ 2.5 µm) are causing several serious health effects e.g. respiratory symptoms and cancer. In Finland with northern location domestic wood combustion has been one of the most important PPM2.5 emission source category. Earlier studies have estimated exposure for primary fine paricles (due domestic wood combustion) to Finnish population to be average XXX µg/m3. In this study we estimated exposure for domestic wood combustion PM2.5  
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Many previous studies has proved that PPM2.5 (primary fine particles with aerodynamic diameter ≤ 2.5 µm) are causing several serious health effects e.g. respiratory symptoms and cancer. In Finland with northern location domestic wood combustion has been one of the most important PPM2.5 emission source category. Earlier studies have estimated exposure for primary fine paricles (due domestic wood combustion) to Finnish population to be average 3.0 µg/m3 annually. In this study we estimated exposure for domestic wood combustion PM2.5 emissions for different population groups.
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emissions for different population groups.
 
 
The PPM2.5 emission data was based on the Finnish Regional Emission Scenario (FRES) model. The dispersion of pollutants was based on the urban dispersion modeling system (UDM-FMI). The resulting concentration data was combined with population data using ArcGIS version 9.2. The population data was based on Statistics Finland Grid Database. The dataset contained population numbers for Finland in resolution of 250 x 250 m2 for 2004 for different age groups and for different education groups for 2005, respectively. Exposure of each subpopulations were estimated with spatial population differences comparing concentration categories to population levels.
 
The PPM2.5 emission data was based on the Finnish Regional Emission Scenario (FRES) model. The dispersion of pollutants was based on the urban dispersion modeling system (UDM-FMI). The resulting concentration data was combined with population data using ArcGIS version 9.2. The population data was based on Statistics Finland Grid Database. The dataset contained population numbers for Finland in resolution of 250 x 250 m2 for 2004 for different age groups and for different education groups for 2005, respectively. Exposure of each subpopulations were estimated with spatial population differences comparing concentration categories to population levels.
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We estimated that exposure varied between 0.5 to 0.6 µg/m3 with different population groups. Finnish population between age 18-44 were most exposed to high concentrations of PPM2.5 due domestic wood combustion and pensioner with age 65 and over were least, respectively. Higher school examination (YO) passed and '''AKAteemiset''' had most high population rate in high PPM2.5 concentrations and perus/ ammatilliset lowest, respectively.
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We estimated that exposure varied between 0.5 to 0.6 µg/m3 with different population groups. Finnish population between age 18-44 were most exposed to high concentrations of PPM2.5 due domestic wood combustion and pensioner with age 65 and over were least, respectively. Upper secondary school and higher education subpopulations had highest population rate in high PPM2.5 concentrations and comprehensive school and vocational education lowest, respectively.
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Tähän muutama rivi discua: esim. väestön spatiaalinen vaihtelu aiheuttaa eroja väestöryhmien välillä. aikuisväestö ja korkeastikoulutetut asuvat puulämmityksen läheisyydessä, tuloerojen, asuntotyyppien vaikutus? Jotain muuta ideaa?
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Spatial diversity between subpopulations necessitates differences between exposure of subpopulations. Reason for that could be in sosioeconomic status or variation with way of life and/or living values.
  
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==Introduction==
 
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The domestic wood combustion is one of the most important primary fine particulate matter (PPM2.5) emission source category in Finland. In our previous study we have estimated that average intake fraction (iF) for PPM2.5 emissions originated from domestic wood combustion is 3.31 per million. In this study we estimated exposure for domestic wood combustion related PPM2.5 emissions and for the different population groups.
 
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==Material and Methods==
 
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The PPM2.5 emission data was based on the Finnish Regional Emission Scenario (FRES) model. The dispersion of pollutants was based on the urban dispersion modeling system (UDM-FMI). The resulting concentration data was combined with population data using ArcGIS version 9.2. The population data was based on Statistics Finland Grid Database. The dataset contained population numbers for Finland in resolution of 250 x 250 m2 for 2004 for different age groups and for different education groups for 2005, respectively. Differences with population weighted exposure for PPM2.5 was estimated by combining emission strength, concentration, and population data.
 
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==Results==
 
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The iF variation between different population groups was small. The average iF for different genders were 1.7 per million and 1.6 per million for females and males, respectively. The average iF for different age groups varied from 0.3 per million (juvenile) to 0.7 per million (children). The if varied between different education groups. The iF was highest 1.1 per million for vocational school population and lowest 0.2 per million for upper secondary school population, respectively. People with higher education had highest and people with comprehensive school education lowest exposure levels.
 
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==Conclusions==
 
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The variation in iF and in exposure levels for PPM2.5 originated from domestic wood combustion is small between subpopulations in Finland. The average exposure levels varied between 0.5 and 0.6 µg/m3.
 
  
 
==See also==
 
==See also==
 
*[[Exposure of Finnish subpopulations to fine particles due domestic wood combustion]]
 
*[[Exposure of Finnish subpopulations to fine particles due domestic wood combustion]]

Revision as of 09:33, 8 May 2009

Abstract

Poster abstract for ISES 2009 will be written here. Please feel free to comment.

Abstract Requirements:

  • Abstracts should not exceed 300 words (2,000 characters).
  • Abstracts reporting on research or investigations must include results. Statements such as “findings will be reported” are not sufficient.
  • Abstracts must be submitted electronically at www.ises09.org by May 15, 2009.

Calculations as Analytica version can be downloaded here.


Many previous studies has proved that PPM2.5 (primary fine particles with aerodynamic diameter ≤ 2.5 µm) are causing several serious health effects e.g. respiratory symptoms and cancer. In Finland with northern location domestic wood combustion has been one of the most important PPM2.5 emission source category. Earlier studies have estimated exposure for primary fine paricles (due domestic wood combustion) to Finnish population to be average 3.0 µg/m3 annually. In this study we estimated exposure for domestic wood combustion PM2.5 emissions for different population groups. The PPM2.5 emission data was based on the Finnish Regional Emission Scenario (FRES) model. The dispersion of pollutants was based on the urban dispersion modeling system (UDM-FMI). The resulting concentration data was combined with population data using ArcGIS version 9.2. The population data was based on Statistics Finland Grid Database. The dataset contained population numbers for Finland in resolution of 250 x 250 m2 for 2004 for different age groups and for different education groups for 2005, respectively. Exposure of each subpopulations were estimated with spatial population differences comparing concentration categories to population levels. We estimated that exposure varied between 0.5 to 0.6 µg/m3 with different population groups. Finnish population between age 18-44 were most exposed to high concentrations of PPM2.5 due domestic wood combustion and pensioner with age 65 and over were least, respectively. Upper secondary school and higher education subpopulations had highest population rate in high PPM2.5 concentrations and comprehensive school and vocational education lowest, respectively. Spatial diversity between subpopulations necessitates differences between exposure of subpopulations. Reason for that could be in sosioeconomic status or variation with way of life and/or living values.


See also

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