Chlorophyll a as an indicator of microcystin: Short-term forecasting and risk assessment in Lake Erie
We developed a Bayesian hierarchical modeling framework to establish a short-term forecasting model of particulate cyanobacterial toxin concentrations in Western Lake Erie using chlorophyll a concentration as the predictor. The model evolves over time with additional data to reflect the changing dyn...
Enregistré dans:
Auteurs principaux: | Song S. Qian, Craig A. Stow, Freya E. Rowland, Qianqian Liu, Mark D. Rowe, Eric J. Anderson, Richard P. Stumpf, Thomas H. Johengen |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Elsevier
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/dd71d3ebfc8a4300ac82d79ff18dce93 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
La increíble empresa de Sarmiento de Gamboa y su triste fin: Posibles causas de la tragedia en el Estrecho de Magallanes en el siglo XVI
par: ESPINOZA G,JUAN PABLO, et autres
Publié: (2010) -
Predicting clinical events using Bayesian multivariate linear mixed models with application to scleroderma
par: Ji Soo Kim, et autres
Publié: (2021) -
Temporal dynamics of the phytoplankton community associated with environmental factors and harmful algal blooms in Acapulco Bay, Mexico
par: Cervantes-Urieta,Víctor A., et autres
Publié: (2021) -
The Complicated and Confusing Ecology of <italic toggle="yes">Microcystis</italic> Blooms
par: Steven W. Wilhelm, et autres
Publié: (2020) -
Prediction of algal bloom occurrence based on the naive Bayesian model considering satellite image pixel differences
par: Meng Mu, et autres
Publié: (2021)