Constraining Atmospheric Selenium Emissions Using Observations, Global Modeling, and Bayesian Inference
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DOI: 10.1021/acs.est.0c01408
Abstract: Selenium (Se) is an essential dietary element for humans and animals, and the atmosphere is an important source of Se to soils. However, estimates of global atmospheric Se fluxes are highly uncertain. To constrain these… read more here.
Keywords: emissions using; bayesian inference; atmospheric selenium; constraining atmospheric ... See more keywords