Mobile sensing of point-source gas emissions using Bayesian inference: An empirical examination of the likelihood function

This paper evaluates likelihood function forms for Bayesian inference of point-source gas emissions using a mobile sensor. Whereas Bayesian inference has been successfully used to estimate emission rates from time-averaged concentration data measured by stationary sensors, data collected by mobile s...

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Veröffentlicht in:	Atmospheric environment (1994) 2019-12, Vol.218 (C), p.116981, Article 116981
Hauptverfasser:	Zhou, Xiaochi, Montazeri, Amir, Albertson, John D.
Format:	Artikel
Sprache:	eng
Schlagworte:	Bayesian inference Environmental sensing Methane Mobile monitoring
Online-Zugang:	Volltext
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