Modeling hypolimnetic dissolved oxygen depletion using monitoring data

Volume: 77, Issue: 5, Pages: 814 - 823
Published: May 1, 2020
Abstract
Eutrophication increases hypoxia in lakes and reservoirs, causing deleterious effects on biological communities. Quantitative models would help managers develop effective strategies to address hypoxia issues, but most existing models are limited in their applicability to lakes with temporally resolved dissolved oxygen data. We describe a hierarchical Bayesian model that predicts dissolved oxygen in lakes based on a mechanistic understanding of...
Paper Details
Title
Modeling hypolimnetic dissolved oxygen depletion using monitoring data
Published Date
May 1, 2020
Volume
77
Issue
5
Pages
814 - 823
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