Journal article

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, Andrew W Western

HYDROLOGY AND EARTH SYSTEM SCIENCES | COPERNICUS GESELLSCHAFT MBH | Published : 2021

Abstract

Stream water quality is highly variable both across space and time. Water quality monitoring programmes have collected a large amount of data that provide a good basis for investigating the key drivers of spatial and temporal variability. Event-based water quality monitoring data in the Great Barrier Reef catchments in northern Australia provide an opportunity to further our understanding of water quality dynamics in subtropical and tropical regions. This study investigated nine water quality constituents, including sediments, nutrients and salinity, with the aim of (1) identifying the influential environmental drivers of temporal variation in flow event concentrations and (2) developing a m..

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Grants

Awarded by Australian Research Council


Funding Acknowledgements

This study was supported by the Australian Research Council (grant no. LP140100495). The authors would like to acknowledge the efforts of the Queensland Department of Environment and Science, who provided the water quality monitoring data. The authors would also like to offer their sincere gratitude to Jie Jian for her assistance with the geospatial database compilation. Paul Leahy, Malcolm Watson, Ulrike Bende-Michl, Paul Wilson and Belinda Thompson are thanked for providing valuable advice in the preparation of this paper.