A Bayesian Hierarchical Approach to Model Seasonal Algal Variability along an Upstream to Downstream River Gradient

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Owner: Chris Swann

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Last Updated: 04-11-2019 18:29

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Cha, Y., Park, S. S., Lee, H. W., Stow, C. A. 2016. A Bayesian Hierarchical Approach to Model Seasonal Algal Variability along an Upstream to Downstream River Gradient. Water Resources Research. American Geophysical Union. 52. 348-357

Analysis, Fresh water, GIS, Micro-organisms, Modeling, Rivers, Seasonal patterns, Dynamics, Phytoplankton

This study developed a Bayesian hierarchical model to simulate the dynamics of phytoplankton in riverine ecosystems while accommodating seasonality and spatial gradients. The model was applied to a case study of the Nakdong River (South Korea).

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