Comparison of two atmospheric-dispersion models to assess farm-site exposure to sour-gas processing-plant emissions.
Identifieur interne : 000457 ( PubMed/Corpus ); précédent : 000456; suivant : 000458Comparison of two atmospheric-dispersion models to assess farm-site exposure to sour-gas processing-plant emissions.
Auteurs : H Morgan Scott ; Colin L. Soskolne ; S. Wayne Martin ; Erik A. Ellehoj ; Robert W. Coppock ; Tee L. Guidotti ; Kerry D. LissemoreSource :
- Preventive veterinary medicine [ 0167-5877 ] ; 2003.
English descriptors
- KwdEn :
- Agriculture, Air Pollutants (analysis), Alberta, Animals, Atmosphere (chemistry), Cattle, Computer Simulation, Dairying, Environmental Monitoring, Female, Gases (analysis), Geography, Industrial Waste (analysis), Male, Meat, Normal Distribution, Retrospective Studies, Sulfur Dioxide (analysis), Time Factors.
- MESH :
- chemical , analysis : Air Pollutants, Gases, Industrial Waste, Sulfur Dioxide.
- geographic : Alberta.
- chemistry : Atmosphere.
- Agriculture, Animals, Cattle, Computer Simulation, Dairying, Environmental Monitoring, Female, Geography, Male, Meat, Normal Distribution, Retrospective Studies, Time Factors.
Abstract
We describe two approaches for exposure assessment that we used in a large-scale retrospective cattle study conducted in Alberta, Canada. Sulfur dioxide (SO(2)) was the surrogate measure of exposure to a complex mixture of combusted sour-gas emissions. Monthly air pollution dispersion modeling (1985-1994) (based on individual industrial source processing-plant engineering specifications, emission volumes, and meteorologic information) provided exposure isopleths of sulfur dioxide concentration from each of 231 sour-gas processing-plants across the province. In contrast, a simpler measure of proximity to source(s) of varying emission rates was applied in a geographical information system based on simplified pollution decay at increasing distances from each point source. Province-wide (663,000 km(2)) surface analysis (by exposure-level classification) produced a contingency coefficient of 0.68 between the two exposure estimates. Annual exposure estimates at the 1382 dairy and 5726 beef cow-calf farms studied were highly correlated over the 10-years period (r(spearman)=0.82 and 0.83, respectively), while monthly exposure estimates were somewhat less correlated (r(spearman)=0.80 and 0.82, respectively) for the two exposure assessment methods. Crude exposure estimates from each method were similar in both direction and magnitude.
PubMed: 12547172
Links to Exploration step
pubmed:12547172Le document en format XML
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<author><name sortKey="Scott, H Morgan" sort="Scott, H Morgan" uniqKey="Scott H" first="H Morgan" last="Scott">H Morgan Scott</name>
<affiliation><nlm:affiliation>Department of Public Health Sciences, University of Alberta, Edmonton, Alta., Canada T6G 2G3. hmscott@cvm.tamu.edu</nlm:affiliation>
</affiliation>
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<author><name sortKey="Soskolne, Colin L" sort="Soskolne, Colin L" uniqKey="Soskolne C" first="Colin L" last="Soskolne">Colin L. Soskolne</name>
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<author><name sortKey="Wayne Martin, S" sort="Wayne Martin, S" uniqKey="Wayne Martin S" first="S" last="Wayne Martin">S. Wayne Martin</name>
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<author><name sortKey="Ellehoj, Erik A" sort="Ellehoj, Erik A" uniqKey="Ellehoj E" first="Erik A" last="Ellehoj">Erik A. Ellehoj</name>
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<author><name sortKey="Coppock, Robert W" sort="Coppock, Robert W" uniqKey="Coppock R" first="Robert W" last="Coppock">Robert W. Coppock</name>
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<author><name sortKey="Guidotti, Tee L" sort="Guidotti, Tee L" uniqKey="Guidotti T" first="Tee L" last="Guidotti">Tee L. Guidotti</name>
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<author><name sortKey="Lissemore, Kerry D" sort="Lissemore, Kerry D" uniqKey="Lissemore K" first="Kerry D" last="Lissemore">Kerry D. Lissemore</name>
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<sourceDesc><biblStruct><analytic><title xml:lang="en">Comparison of two atmospheric-dispersion models to assess farm-site exposure to sour-gas processing-plant emissions.</title>
<author><name sortKey="Scott, H Morgan" sort="Scott, H Morgan" uniqKey="Scott H" first="H Morgan" last="Scott">H Morgan Scott</name>
<affiliation><nlm:affiliation>Department of Public Health Sciences, University of Alberta, Edmonton, Alta., Canada T6G 2G3. hmscott@cvm.tamu.edu</nlm:affiliation>
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<author><name sortKey="Soskolne, Colin L" sort="Soskolne, Colin L" uniqKey="Soskolne C" first="Colin L" last="Soskolne">Colin L. Soskolne</name>
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<author><name sortKey="Wayne Martin, S" sort="Wayne Martin, S" uniqKey="Wayne Martin S" first="S" last="Wayne Martin">S. Wayne Martin</name>
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<author><name sortKey="Ellehoj, Erik A" sort="Ellehoj, Erik A" uniqKey="Ellehoj E" first="Erik A" last="Ellehoj">Erik A. Ellehoj</name>
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<author><name sortKey="Coppock, Robert W" sort="Coppock, Robert W" uniqKey="Coppock R" first="Robert W" last="Coppock">Robert W. Coppock</name>
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<author><name sortKey="Guidotti, Tee L" sort="Guidotti, Tee L" uniqKey="Guidotti T" first="Tee L" last="Guidotti">Tee L. Guidotti</name>
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<series><title level="j">Preventive veterinary medicine</title>
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<term>Atmosphere (chemistry)</term>
<term>Cattle</term>
<term>Computer Simulation</term>
<term>Dairying</term>
<term>Environmental Monitoring</term>
<term>Female</term>
<term>Gases (analysis)</term>
<term>Geography</term>
<term>Industrial Waste (analysis)</term>
<term>Male</term>
<term>Meat</term>
<term>Normal Distribution</term>
<term>Retrospective Studies</term>
<term>Sulfur Dioxide (analysis)</term>
<term>Time Factors</term>
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<keywords scheme="MESH" type="chemical" qualifier="analysis" xml:lang="en"><term>Air Pollutants</term>
<term>Gases</term>
<term>Industrial Waste</term>
<term>Sulfur Dioxide</term>
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<keywords scheme="MESH" xml:lang="en"><term>Agriculture</term>
<term>Animals</term>
<term>Cattle</term>
<term>Computer Simulation</term>
<term>Dairying</term>
<term>Environmental Monitoring</term>
<term>Female</term>
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<front><div type="abstract" xml:lang="en">We describe two approaches for exposure assessment that we used in a large-scale retrospective cattle study conducted in Alberta, Canada. Sulfur dioxide (SO(2)) was the surrogate measure of exposure to a complex mixture of combusted sour-gas emissions. Monthly air pollution dispersion modeling (1985-1994) (based on individual industrial source processing-plant engineering specifications, emission volumes, and meteorologic information) provided exposure isopleths of sulfur dioxide concentration from each of 231 sour-gas processing-plants across the province. In contrast, a simpler measure of proximity to source(s) of varying emission rates was applied in a geographical information system based on simplified pollution decay at increasing distances from each point source. Province-wide (663,000 km(2)) surface analysis (by exposure-level classification) produced a contingency coefficient of 0.68 between the two exposure estimates. Annual exposure estimates at the 1382 dairy and 5726 beef cow-calf farms studied were highly correlated over the 10-years period (r(spearman)=0.82 and 0.83, respectively), while monthly exposure estimates were somewhat less correlated (r(spearman)=0.80 and 0.82, respectively) for the two exposure assessment methods. Crude exposure estimates from each method were similar in both direction and magnitude.</div>
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<ArticleTitle>Comparison of two atmospheric-dispersion models to assess farm-site exposure to sour-gas processing-plant emissions.</ArticleTitle>
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<Abstract><AbstractText>We describe two approaches for exposure assessment that we used in a large-scale retrospective cattle study conducted in Alberta, Canada. Sulfur dioxide (SO(2)) was the surrogate measure of exposure to a complex mixture of combusted sour-gas emissions. Monthly air pollution dispersion modeling (1985-1994) (based on individual industrial source processing-plant engineering specifications, emission volumes, and meteorologic information) provided exposure isopleths of sulfur dioxide concentration from each of 231 sour-gas processing-plants across the province. In contrast, a simpler measure of proximity to source(s) of varying emission rates was applied in a geographical information system based on simplified pollution decay at increasing distances from each point source. Province-wide (663,000 km(2)) surface analysis (by exposure-level classification) produced a contingency coefficient of 0.68 between the two exposure estimates. Annual exposure estimates at the 1382 dairy and 5726 beef cow-calf farms studied were highly correlated over the 10-years period (r(spearman)=0.82 and 0.83, respectively), while monthly exposure estimates were somewhat less correlated (r(spearman)=0.80 and 0.82, respectively) for the two exposure assessment methods. Crude exposure estimates from each method were similar in both direction and magnitude.</AbstractText>
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