HydroMix v1.0: a new Bayesian mixing framework for attributing uncertain hydrological sources
<p>Tracers have been used for over half a century in hydrology to quantify water sources with the help of mixing models. In this paper, we build on classic Bayesian methods to quantify uncertainty in mixing ratios. Such methods infer the probability density function (PDF) of the mixing ratios by for...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Copernicus Publications
2020-05-01
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| Colecção: | Geoscientific Model Development |
| Acesso em linha: | https://www.geosci-model-dev.net/13/2433/2020/gmd-13-2433-2020.pdf |
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