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

Grant number: LP140100495 | Funding period: 2015 - 2018

Completed

Abstract

Poor water quality affects many rivers and receiving waters such as the Great Barrier Reef and Gippsland Lakes. This project aims to use Bayesian hierarchical models of statewide water quality data to quantify the effects of a range of factors on stream water quality including climate, land use, river flow, vegetation cover, etcetera. The analysis intends to extract information from the entire data set rather than concentrating on individual sites. It intends to underpin a new predictive capacity including response to land use and management changes and climatic variations based on long-term data sets, as well as a water quality prediction capability. It is intended that the models developed..

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Related publications (13)

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A predictive model for spatio-temporal variability in stream water quality

Danlu Guo, Anna Lintern, J Angus Webb, Dongryeol Ryu, Ulrike Bende-Michl, Shuci Liu, Andrew William Western

<jats:p>&amp;lt;p&amp;gt;&amp;lt;strong&amp;gt;Abstract.&amp;lt;/strong&amp;gt; Degraded water quality in rivers and streams can h..

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Supplementary material to &quot;A predictive model for spatio-temporal variability in stream water quality&quot;

Danlu Guo, Anna Lintern, J Angus Webb, Dongryeol Ryu, Ulrike Bende-Michl, Shuci Liu, Andrew William Western

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Future Water: Comparing and contrasting approaches to predicting water quality

D Guo, A Lintern, V Prodanovic, M Kuller, PM Bach, A Deletic, B Shi, D McCarthy, D Ryu, JA Webb, S Liu, AW Western

2019-12-01

Globally, surface water quality deterioration is an important issue exacerbated by increasing urbanisation, intensified agricultur..

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Key Factors Affecting Temporal Variability in Stream Water Quality

D Guo, A Lintern, JA Webb, D Ryu, S Liu, U Bende-Michl, P Leahy, P Wilson, AW Western

2019-01-01

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

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

2018-12-03

Rivers and streams around the world are being affected by declining water quality. When designing remediation strategies, we must ..

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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

2018-12-01

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What Are the Key Catchment Characteristics Affecting Spatial Differences in Riverine Water Quality?

A Lintern, JA Webb, D Ryu, S Liu, D Waters, P Leahy, U Bende-Michl, AW Western

2018-10-01

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A web-based interface to visualize and model spatio-temporal variability of stream water quality

Danlu Guo, anna Lintern, James Webb, dongryeol Ryu, shuci Liu, Ulrike Bende-Michl, Paul Leahy, David Waters, Malcolm Watson, Paul Wilson, Andrew Western

2018-01-01

Understanding the spatio-temporal variability in stream water quality is critical for designing effective water quality management..

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Integrated modelling of spatio-temporal variability in stream water quality across victorian catchments

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

2018-01-01

Degraded water quality in rivers and streams can have large economical, societal and ecological impacts. Stream water quality can ..

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Key factors influencing differences in stream water quality across space

A Lintern, JA Webb, D Ryu, S Liu, U Bende-Michl, D Waters, P Leahy, P Wilson, AW Western

2018-01-01

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The value of water in storage: Implications for operational policies

AW Western, N Taylor, J Langford, M Azmi

2018-01-01

© CURRAN-CONFERENCE. All rights reserved. With desalination plants becoming an increasingly common feature of water supply systems..

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Modelling the impact of land use and catchment characteristics on stream water quality using a Bayesian hierarchical modelling approach in the Great Barrier Reef catchments

S Liu, D Ryu, A Western, JA Webb, A Lintern, D Waters, B Thomson

2017-01-01

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Using a data-driven approach to understand the interaction between catchment characteristics and water quality responses

A Lintern, JA Webb, D Ryu, S Liu, U Bende-Michl, P Leahy, P Wilson, A Western

2016-01-01