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Articles | Volume 25, issue 5
https://doi.org/10.5194/hess-25-2663-2021
https://doi.org/10.5194/hess-25-2663-2021
Research article
 | 
20 May 2021
Research article |  | 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

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Cited articles

Abbaspour, K. C., Rouholahnejad, E., Vaghefi, S., Srinivasan, R., Yang, H., and Kløve, B.: A continental-scale hydrology and water quality model for Europe: Calibration and uncertainty of a high-resolution large-scale SWAT model, J. Hydrol., 524, 733–752, 2015. 
Abbott, M., Bathurst, J., Cunge, J., O'connell, P., and Rasmussen, J.: An introduction to the European Hydrological System—Systeme Hydrologique Europeen,“SHE”, 2: Structure of a physically-based, distributed modelling system, J. Hydrol., 87, 61–77, 1986. 
Arnold, J. G. and Fohrer, N.: SWAT2000: current capabilities and research opportunities in applied watershed modelling, Hydrol. Process., 19, 563–572, 2005. 
Atkinson, A. B.: The box-cox transformation: Review and extensions, Stat. Sci., 36, 239–255, 2021. 
Atkinson, R., Power, R., Lemon, D., O'Hagan, R., Dovey, D., and Kinny, D.: The Australian Hydrological Geospatial Fabric–Development Methodology and Conceptual Architecture, Citeseer, 2008. 
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Riverine water quality can change markedly at one particular location. This study developed...
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