Sampling Site Identification for Wood Pellet Source Characterization
Wood pellet manufacturing represents a prominent industry in four rural regions of North Carolina, with plants located in low-income areas associated with environmental justice concerns. This study highlights the methodology employed to identify best plant of four to be included in a large community...
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| Format: | Dissertation |
| Language: | English |
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ProQuest Dissertations & Theses
01-01-2024
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| Online Access: | Get full text |
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| Summary: | Wood pellet manufacturing represents a prominent industry in four rural regions of North Carolina, with plants located in low-income areas associated with environmental justice concerns. This study highlights the methodology employed to identify best plant of four to be included in a large community impact assessment, along with the results from a quantitative approach for siting three ambient air samplers. By utilizing wind speed and direction from the NC-AWOS weather station network and emission data from each region. Sampson County Enviva Wood-pellet plant was selected. A multi-source AERmod dispersion model was run utilizing emission data from sawdust storage, pellet manufacturing stacks, and the transport of wood dust to provide the best locations for air sampling. Precise sampling locations should enable this study create an emission signature and allow for fingerprinting to establish causal relationships between ambient air quality and local emission sources. |
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| ISBN: | 9798383688007 |