Measurement of Agriculture-Related Air Pollutant Emissions using Point and Remote Sensors
Measuring air pollution emissions from agricultural activities is usually difficult because of their large area and variability. Traditional air quality sensors, called point samplers, measure conditions in one location, which may not adequately measure a plume. Remote sensors, instruments that meas...
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ndltd-UTAHS-oai-digitalcommons.usu.edu-etd-79952019-10-13T05:52:29Z Measurement of Agriculture-Related Air Pollutant Emissions using Point and Remote Sensors Moore, Kori D. Measuring air pollution emissions from agricultural activities is usually difficult because of their large area and variability. Traditional air quality sensors, called point samplers, measure conditions in one location, which may not adequately measure a plume. Remote sensors, instruments that measure pollution along a line rather than at a single point, are better able to measure conditions around large areas. This dissertation reports on four agricultural air emissions studies that used both point and remote sensors for comparison. The methods used to calculate the emissions are based on previous work and are further developed in these studies. In particular, an atmospheric dispersion model was developed and tested that can account for a particle behaving different than the surrounding gas due to gravity and inertia and depositing out of the flow. Particulate matter (PM) emissions values are reported for two agricultural tillage conservation management practices (CMPs)and the corresponding traditional tillage methods in order to determine how well the CMP reduces emissions. In addition, gas-phase ammonia (NH3) emissions for a dairy operation and PM emissions from a feedlot operation are reported. These studies can help us better measure emissions from agricultural operations and understand how much air pollution is being emitted. 2017-12-01T08:00:00Z text application/pdf https://digitalcommons.usu.edu/etd/6907 https://digitalcommons.usu.edu/cgi/viewcontent.cgi?article=7995&context=etd Copyright for this work is held by the author. Transmission or reproduction of materials protected by copyright beyond that allowed by fair use requires the written permission of the copyright owners. Works not in the public domain cannot be commercially exploited without permission of the copyright owner. Responsibility for any use rests exclusively with the user. For more information contact digitalcommons@usu.edu. All Graduate Theses and Dissertations DigitalCommons@USU air quality air emissions agriculture particulate matter gaseous ammonia Civil and Environmental Engineering |
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air quality air emissions agriculture particulate matter gaseous ammonia Civil and Environmental Engineering Moore, Kori D. Measurement of Agriculture-Related Air Pollutant Emissions using Point and Remote Sensors |
description |
Measuring air pollution emissions from agricultural activities is usually difficult because of their large area and variability. Traditional air quality sensors, called point samplers, measure conditions in one location, which may not adequately measure a plume. Remote sensors, instruments that measure pollution along a line rather than at a single point, are better able to measure conditions around large areas. This dissertation reports on four agricultural air emissions studies that used both point and remote sensors for comparison. The methods used to calculate the emissions are based on previous work and are further developed in these studies. In particular, an atmospheric dispersion model was developed and tested that can account for a particle behaving different than the surrounding gas due to gravity and inertia and depositing out of the flow. Particulate matter (PM) emissions values are reported for two agricultural tillage conservation management practices (CMPs)and the corresponding traditional tillage methods in order to determine how well the CMP reduces emissions. In addition, gas-phase ammonia (NH3) emissions for a dairy operation and PM emissions from a feedlot operation are reported. These studies can help us better measure emissions from agricultural operations and understand how much air pollution is being emitted. |
author |
Moore, Kori D. |
author_facet |
Moore, Kori D. |
author_sort |
Moore, Kori D. |
title |
Measurement of Agriculture-Related Air Pollutant Emissions using Point and Remote Sensors |
title_short |
Measurement of Agriculture-Related Air Pollutant Emissions using Point and Remote Sensors |
title_full |
Measurement of Agriculture-Related Air Pollutant Emissions using Point and Remote Sensors |
title_fullStr |
Measurement of Agriculture-Related Air Pollutant Emissions using Point and Remote Sensors |
title_full_unstemmed |
Measurement of Agriculture-Related Air Pollutant Emissions using Point and Remote Sensors |
title_sort |
measurement of agriculture-related air pollutant emissions using point and remote sensors |
publisher |
DigitalCommons@USU |
publishDate |
2017 |
url |
https://digitalcommons.usu.edu/etd/6907 https://digitalcommons.usu.edu/cgi/viewcontent.cgi?article=7995&context=etd |
work_keys_str_mv |
AT moorekorid measurementofagriculturerelatedairpollutantemissionsusingpointandremotesensors |
_version_ |
1719267015138476032 |