Predicting quantiles of water quality from catchment characteristics

D Guo; S Liu; D Singh; AW Western

Journal article

Predicting quantiles of water quality from catchment characteristics

D Guo, S Liu, D Singh, AW Western

Hydrological Processes | WILEY | Published : 2021

DOI: 10.1002/hyp.13996

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Abstract

Water quality is often highly variable both in space and time, which poses challenges for modelling the more extreme concentrations. This study developed an alternative approach to predicting water quality quantiles at individual locations. We focused on river water quality data that were collected over 25 years, at 102 catchments across the State of Victoria, Australia. We analysed and modelled spatial patterns of the 10th, 25th, 50th, 75th and 90th percentiles of the concentrations of sediments, nutrients and salt, with six common constituents: total suspended solids (TSS), total phosphorus (TP), filterable reactive phosphorus (FRP), total Kjeldahl nitrogen (TKN), nitrate-nitrite (NOx), an..

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University of Melbourne Researchers

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 Environment Protection Authority Victoria

Funding Acknowledgements

The Australian Research Council together with the Victorian Environment Protection Authority, the Victorian Department of Environment, Land Water and Planning, the Bureau of Meteorology and the Queensland Department of Natural Resources, Mines and Energy provided support for this study through the linkage program (LP140100495). The authors would like to thank Paul Wilson and Hannah Sleeth (Victorian Department of Environment, Land Water and Planning) for their help on data acquisition. We also appreciate the work of Shuangying Deng and Yuhan Zhou on preliminary data analyses.