Polycyclic aromatic hydrocarbon characterization and prediction in coastal sediments using regression modeling and machine learning
收藏NOAA Institutional Repository2021-11-12 更新2026-04-25 收录
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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. 2021 NOS (National Ocean Service) NCCOS (National Centers for Coastal Ocean Science) Submitted https://doi.org/10.25923/r7k5-vj14 Public Domain 1969
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NOAA
创建时间：
2021-11-12
