Characterisation of spatial variability in water quality in the Great Barrier Reef catchments using multivariate statistical analysis

S Liu; D Ryu; JA Webb; A Lintern; D Waters; D Guo; AW Western

Journal article

Characterisation of spatial variability in water quality in the Great Barrier Reef catchments using multivariate statistical analysis

S Liu, D Ryu, JA Webb, A Lintern, D Waters, D Guo, AW Western

Marine Pollution Bulletin | PERGAMON-ELSEVIER SCIENCE LTD | Published : 2018

DOI: 10.1016/j.marpolbul.2018.10.019

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Abstract

Water quality monitoring is important to assess changes in inland and coastal water quality. The focus of this study was to improve understanding of the spatial component of spatial-temporal water quality dynamics, particularly the spatial variability in water quality and the association between this spatial variability and catchment characteristics. A dataset of nine water quality constituents collected from 32 monitoring sites over a 11-year period (2006–2016), across the Great Barrier Reef catchments (Queensland, Australia), were evaluated by multivariate techniques. Two clusters were identified, which were strongly associated with catchment characteristics. A two-step Principal Component..

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University of Melbourne Researchers

Dongryeol Ryu Author

Danlu Guo Author

Andrew Western Author

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Poor water quality affects many rivers and receiving waters such as the Great Barrier Reef and Gippsland Lakes. This project aims to use Bay..

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Grants

Awarded by Department of Environment, Land, Water and Planning, State Government of Victoria

Funding Acknowledgements

This study was supported by the Australian Research Council (LP140100495), the EPA Victoria, the Victorian Department of Environment, Land, Water and Planning, Bureau of Meteorology and Queensland Department of Natural Resources, Mines and Energy. The authors would like to acknowledge the efforts of the Queensland Department of Environment and Science who provided the water quality monitoring data. The author would also like to offer sincere gratitude to Ms. Jie Jian for her assistance in geospatial database compilation. Dr. Paul Leady, Mr. Malcolm Watson, Dr. Ulrike Bende-Michl, Dr. Paul Wilson, and Ms. Belinda Thompson all provided valuable advice in the preparation of this manuscript.