Understanding the spatial variability in catchment dynamics: a case study of 107 stream catchments in Victoria

A Lintern; J Webb; ryu; S liu; U Bende-Michl; M Watson; D Waters; P Leahy; P Wilson; A Western

Conference Proceedings

Understanding the spatial variability in catchment dynamics: a case study of 107 stream catchments in Victoria

A Lintern, J Webb, undefined ryu, S liu, U Bende-Michl, M Watson, D Waters, P Leahy, P Wilson, A Western, G Syme, D Hatton MacDonald, B Fulton, J Piantadosi

Proceedings - 22nd International Congress on Modelling and Simulation, MODSIM 2017 | The Modelling and Simulation Society of Australia and New Zealand | Published : 2018

Abstract

Rivers and streams around the world are being affected by declining water quality. When designing remediation strategies, we must first understand the key factors affecting spatial and temporal variability in stream water quality. As such, the objective of this investigation was to investigate the relationships between in-stream constituent concentrations and streamflow and to understand how these relationships vary across space. We intend to use these findings to add a temporal component into existing statistical models of spatial variability in water quality. Monthly water quality data for total suspended solids (TSS), total phosphorus (TP), filterable reactive phosphorus (FRP), total Kjed..

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University of Melbourne Researchers

Dongryeol Ryu Author Infrastructure Engineering

Anna Lintern Author Infrastructure Engineering

Andrew Western Author

Angus Webb Author Infrastructure Engineering

Related Projects (2)

Predicting Water Quality At The Catchment Scale: Learning From Two Decades Of Monitoring

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

Predicting Water Quality At The Catchment Scale: Learning From Two Decades Of Monitoring

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

Grants

Awarded by Australian Research Council

Funding Acknowledgements

This project has been supported by the Australian Research Council, the Victorian EPA, the Victorian Department of Environment, Land Water and Planning, the Bureau of Meteorology and the Queensland Department of Natural Resources and Mines (LP140100495). The authors would also like to offer gratitude to Matthew Johnson, Louise Sullivan and Jie Jian for their assistance in data compilation and analysis.