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
Microturbine characteristics and emissions using biofuel blends
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DOI: 10.1080/17597269.2020.1771241
Abstract: The performance and emission levels of a 160 N (35 lbs) thrust gas micro-turbine, running on blends of kerosene and waste cooking oil (methyl ester), were investigated over the take-off, cruise and... read more here.
Keywords: emissions using; using biofuel; biofuel blends; characteristics emissions ... See more keywords