Frontiers in the application of Bayesian approaches in water quality modelling
Frontiers in the application of Bayesian approaches in water quality modelling
Editor(s): Miriam Glendell, Ibrahim Alameddine, Lorenz Ammann, Fabrizio Fenicia, Ann van Griensven, and James E. Sample More information

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21 Jul 2022
Developing a Bayesian network model for understanding river catchment resilience under future change scenarios
Kerr J. Adams, Christopher A. J. Macleod, Marc J. Metzger, Nicola Melville, Rachel C. Helliwell, Jim Pritchard, and Miriam Glendell
EGUsphere, https://doi.org/10.5194/egusphere-2022-617,https://doi.org/10.5194/egusphere-2022-617, 2022
Preprint under review for HESS (discussion: final response, 3 comments)
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20 Jun 2022
Seasonal forecasting of lake water quality and algal bloom risk using a continuous Gaussian Bayesian network
Leah A. Jackson-Blake, François Clayer, Sigrid Haande, James E. Sample, and S. Jannicke Moe
Hydrol. Earth Syst. Sci., 26, 3103–3124, https://doi.org/10.5194/hess-26-3103-2022,https://doi.org/10.5194/hess-26-3103-2022, 2022
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25 Apr 2022
Spatially referenced Bayesian state-space model of total phosphorus in western Lake Erie
Timothy J. Maguire, Craig A. Stow, and Casey M. Godwin
Hydrol. Earth Syst. Sci., 26, 1993–2017, https://doi.org/10.5194/hess-26-1993-2022,https://doi.org/10.5194/hess-26-1993-2022, 2022
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09 Mar 2022
Probabilistic modelling of the inherent field-level pesticide pollution risk in a small drinking water catchment using spatial Bayesian belief networks
Mads Troldborg, Zisis Gagkas, Andy Vinten, Allan Lilly, and Miriam Glendell
Hydrol. Earth Syst. Sci., 26, 1261–1293, https://doi.org/10.5194/hess-26-1261-2022,https://doi.org/10.5194/hess-26-1261-2022, 2022
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04 Mar 2022
Quantifying input uncertainty in the calibration of water quality models: reordering errors via the secant method
Xia Wu, Lucy Marshall, and Ashish Sharma
Hydrol. Earth Syst. Sci., 26, 1203–1221, https://doi.org/10.5194/hess-26-1203-2022,https://doi.org/10.5194/hess-26-1203-2022, 2022
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28 Feb 2022
Temporally resolved coastal hypoxia forecasting and uncertainty assessment via Bayesian mechanistic modeling
Alexey Katin, Dario Del Giudice, and Daniel R. Obenour
Hydrol. Earth Syst. Sci., 26, 1131–1143, https://doi.org/10.5194/hess-26-1131-2022,https://doi.org/10.5194/hess-26-1131-2022, 2022
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03 Jan 2022
Synthesizing the impacts of baseflow contribution on concentration–discharge (CQ) relationships across Australia using a Bayesian hierarchical model
Danlu Guo, Camille Minaudo, Anna Lintern, Ulrike Bende-Michl, Shuci Liu, Kefeng Zhang, and Clément Duvert
Hydrol. Earth Syst. Sci., 26, 1–16, https://doi.org/10.5194/hess-26-1-2022,https://doi.org/10.5194/hess-26-1-2022, 2022
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26 May 2021
Assessing interannual variability in nitrogen sourcing and retention through hybrid Bayesian watershed modeling
Jonathan W. Miller, Kimia Karimi, Arumugam Sankarasubramanian, and Daniel R. Obenour
Hydrol. Earth Syst. Sci., 25, 2789–2804, https://doi.org/10.5194/hess-25-2789-2021,https://doi.org/10.5194/hess-25-2789-2021, 2021
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20 May 2021
A Bayesian approach to understanding the key factors influencing temporal variability in stream water quality – a case study in the Great Barrier Reef catchments
Shuci Liu, Dongryeol Ryu, J. Angus Webb, Anna Lintern, Danlu Guo, David Waters, and Andrew W. Western
Hydrol. Earth Syst. Sci., 25, 2663–2683, https://doi.org/10.5194/hess-25-2663-2021,https://doi.org/10.5194/hess-25-2663-2021, 2021
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