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Polycyclic aromatic hydrocarbon characterization and prediction in coastal sediments using regression modeling and machine learning
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2021
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Description:Here we utilize spatial human dimensions data to further characterize polycyclic aromatic hydrocarbon (PAH) sediment results to: 1) Characterize the relationship between PAH sediment contamination and human dimensions data. 2) Characterize and predict sediment PAH concentrations nationally based on these relationships. 3) Address data gaps to increase monitoring and assessment efficiency.
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Rights Information:Public Domain
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Compliance:Submitted
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