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bnRep (version 0.0.3)

algal2: algal Bayesian Networks

Description

Seasonal forecasting of lake water quality and algal bloom risk using a continuous Gaussian Bayesian networks.

Arguments

Value

An object of class bn.fit. Refer to the documentation of bnlearn for details.

Format

A Gaussian Bayesian network to to forecast, in spring, mean total phosphorus and chlorophyll a concentration, mean water colour, and maximum cyanobacteria biovolume for the upcoming growing season (May–October) in Vansjø. Probabilities were given within the referenced paper. The vertices are:

ChiA

Mean lake chl a concentration - Current;

ChiA_PS

Mean lake chl a concentration - Previous;

Colour

Mean lake colour;

Cyanobacteria

Mean lake cyanobacterial biovolume;

RainSum

Precipitation sum;

TP

Mean lake TP concentration - Current;

TP_PS

Mean lake TP concentration - Previous;

WindSpeed

Mean daily mean wind speed;

References

Jackson-Blake, L. A., Clayer, F., Haande, S., Sample, J. E., & Moe, S. J. (2022). Seasonal forecasting of lake water quality and algal bloom risk using a continuous Gaussian Bayesian network. Hydrology and Earth System Sciences, 26(12), 3103-3124.