Linking Structural Equation Modelling with Bayesian Network and Coastal Phytoplankton Dynamics in Bohai Bay

Jiangtao Chu; Yue Yang

doi:10.1051/e3sconf/20183801028

All issues

Volume 38 (2018)

E3S Web Conf., 38 (2018) 01028

References

Open Access

Issue		E3S Web Conf. Volume 38, 2018 2018 4^th International Conference on Energy Materials and Environment Engineering (ICEMEE 2018)


Article Number		01028
Number of page(s)		4
Section		Environmental Science and Environmental Engineering
DOI		https://doi.org/10.1051/e3sconf/20183801028
Published online		04 June 2018

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[1] Alameddine, I., Cha, Y., Reckhow, K.H., 2011. An evaluation of automated structure learning with Bayesian networks: An application to estuarine chlorophyll dynamics. Environmental Modelling & Software, 26(2), 163-172. [CrossRef] [Google Scholar]

[2] Anderson, R., 2004. Causal modeling alternatives in operations research: Overview and application. European Journal of Operational Research, 156(1), 92-109. [CrossRef] [Google Scholar]

[3] Arhonditsis, G., Paerl, H., Valdesweaver, L., Stow, C., Steinberg, L., Reckhow, K., 2007. Application of Bayesian structural equation modeling for examining phytoplankton dynamics in the Neuse River Estuary (North Carolina, USA). Estuarine, Coastal and Shelf Science, 72(1-2), 63-80. [CrossRef] [Google Scholar]

[4] Arhonditsis, G., Stow, C., Steinberg, L., Kenney, M., Lathrop, R., McBride, S., Reckhow, K., 2006. Exploring ecological patterns with structural equation modeling and Bayesian analysis. Ecological Modelling, 192(3-4), 385-409. [CrossRef] [Google Scholar]

[5] Barton, D., Saloranta, T., Moe, S., Eggestad, H., Kuikka, S., 2008. Bayesian belief networks as a meta-modelling tool in integrated river basin management - Pros and cons in evaluating nutrient abatement decisions under uncertainty in a Norwegian river basin. Ecological Economics, 66(1), 91-104. [CrossRef] [Google Scholar]

[6] Borsuk, M., 2004. A Bayesian network of eutrophication models for synthesis, prediction, and uncertainty analysis. Ecological Modelling, 173(2-3), 219-239. [CrossRef] [Google Scholar]

[7] Bromley, J., Jackson, N.A., Clymer, O.J., Giacomello, A.M., Jensen, F.V., 2005. The use of Hugin® to develop Bayesian networks as an aid to integrated water resource planning. Environmental Modelling & Software, 20(2), 231-242. [CrossRef] [Google Scholar]

[8] Brzezinski, M.A., 1985. THE Si: C: N Ratio of Marine Diatoms: Interspecific Variability and The Effect of Some Environmental Variables1. Journal of Phycology, 21(3), 347-357. [CrossRef] [Google Scholar]

[9] Castelletti, A., Soncinisessa, R., 2007. Bayesian Networks and participatory modelling in water resource management. Environmental Modelling & Software, 22(8), 1075-1088. [CrossRef] [Google Scholar]

[10] Chen, Y., Lin, L.-S., 2010. Structural equation-based latent growth curve modeling of watershed attribute-regulated stream sensitivity to reduced acidic deposition. Ecological Modelling, 221(17), 2086-2094. [CrossRef] [Google Scholar]