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Predicting polycyclic aromatic hydrocarbons using a mass fraction approach in a geostatistical framework across North Carolina
2018
Journal of Exposure Science and Environmental Epidemiology
Currently in the United States there are no regulatory standards for ambient concentrations of Polycyclic Aromatic Hydrocarbons (PAHs), a class of organic compounds with known carcinogenic species. As such, monitoring data are not routinely collected resulting in limited exposure mapping and epidemiologic studies. This work develops the log-Mass Fraction (LMF) Bayesian Maximum Entropy (BME) geostatistical prediction method used to predict the concentration of 9 particle-bound PAHs across the US
doi:10.1038/s41370-017-0009-6
pmid:29317739
pmcid:PMC6013350
fatcat:hsqqlrnzsragdfpaqo64xzvffa