Articles | Volume 26, issue 1
https://doi.org/10.5194/hess-26-1-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-26-1-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
03 Jan 2022
Research article |
| 03 Jan 2022
| 03 Jan 2022
Synthesizing the impacts of baseflow contribution on concentration–discharge (C–Q) relationships across Australia using a Bayesian hierarchical model
Department of Infrastructure Engineering, University of Melbourne,
Victoria, 3010, Australia
Camille Minaudo
EPFL, Physics of Aquatic Systems Laboratory, Margaretha Kamprad
Chair, Lausanne, Switzerland
Anna Lintern
Department of Civil Engineering, Monash University, Victoria, 3800,
Australia
Ulrike Bende-Michl
Department of Infrastructure Engineering, University of Melbourne,
Victoria, 3010, Australia
Bureau of Meteorology, Science and Innovations Group, Parkes ACT 2600, Australia
Shuci Liu
Department of Infrastructure Engineering, University of Melbourne,
Victoria, 3010, Australia
School of Geographical Sciences, Nanjing University of Information Science & Technology, Nanjing 210044, China
Kefeng Zhang
Water Research Centre, School of Civil and Environmental
Engineering, UNSW Sydney, Sydney, NSW 2052, Australia
Clément Duvert
Research Institute for the Environment and Livelihoods, Charles
Darwin University, Darwin, NT, Australia
National Centre for Groundwater Research and Training (NCGRT),
Adelaide, SA, Australia
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Cited
15 citations as recorded by crossref.
- Contrasting long-term trends of near-coast river turbidity across major catchments draining to the Great Barrier Reef Lagoon D. Guo & P. Hairsine https://doi.org/10.1016/j.marpolbul.2025.118329
- Australian water quality trends over two decades show deterioration in the Great Barrier Reef region and recovery in the Murray-Darling Basin D. Guo et al. https://doi.org/10.1038/s43247-025-02044-3
- Palaeochannels as hidden pathways of water flow in agricultural alluvial landscapes: A review of concepts and suggested future directions for modelling H. Lim et al. https://doi.org/10.1016/j.jhydrol.2026.135522
- A complex interplay among agricultural land uses, urbanization, and landscape attributes shapes the concentration-discharge relationships in Ontario, Canada M. Georgina Kaltenecker et al. https://doi.org/10.1016/j.jhydrol.2023.129933
- Antibiotic transport requires a renewed focus on baseflow as a critical non-point source pathway H. Xie et al. https://doi.org/10.1016/j.envpol.2025.126355
- HARP: A suite of parameters to describe the hysteresis of streamflow and water quality constituents M. Roberts et al. https://doi.org/10.1016/j.jhydrol.2023.130262
- Exploring key factors driving farm-level seasonal irrigation water usage with Bayesian hierarchical modelling Z. Gao et al. https://doi.org/10.1016/j.agwat.2024.108715
- Controls on Spatial Variability in Mean Concentrations and Export Patterns of River Chemistry Across the Australian Continent S. Liu et al. https://doi.org/10.1029/2022WR032365
- Improving the consistency of hydrologic event identification M. Mohammadpour Khoie et al. https://doi.org/10.1016/j.envsoft.2025.106521
- Understanding event runoff coefficient variability across Australia using the hydroEvents R package C. Wasko & D. Guo https://doi.org/10.1002/hyp.14563
- Rivers under stress: geochemical changes along a rural–urban gradient during extreme hydrological events (Greve River, Italy) M. Ferrari et al. https://doi.org/10.1007/s10653-026-03283-9
- Revisiting the Hydrograph Separation Issue Using High-Frequency Chemical Information J. Tunqui Neira et al. https://doi.org/10.1007/s10666-024-09963-z
- Quantifying changes and trends of NO3 concentrations and concentration-discharge relationships in a complex, heavily managed, drought-sensitive river system J. Liu et al. https://doi.org/10.1016/j.jhydrol.2023.129750
- Freshwater modeling in Aotearoa New Zealand: Current practice and future directions K. Dost et al. https://doi.org/10.1016/j.envsoft.2025.106820
- How do storm characteristics influence concentration-discharge hysteresis in a high-elevation tropical ecosystem? P. Peña et al. https://doi.org/10.1016/j.jhydrol.2023.129345
15 citations as recorded by crossref.
- Contrasting long-term trends of near-coast river turbidity across major catchments draining to the Great Barrier Reef Lagoon D. Guo & P. Hairsine https://doi.org/10.1016/j.marpolbul.2025.118329
- Australian water quality trends over two decades show deterioration in the Great Barrier Reef region and recovery in the Murray-Darling Basin D. Guo et al. https://doi.org/10.1038/s43247-025-02044-3
- Palaeochannels as hidden pathways of water flow in agricultural alluvial landscapes: A review of concepts and suggested future directions for modelling H. Lim et al. https://doi.org/10.1016/j.jhydrol.2026.135522
- A complex interplay among agricultural land uses, urbanization, and landscape attributes shapes the concentration-discharge relationships in Ontario, Canada M. Georgina Kaltenecker et al. https://doi.org/10.1016/j.jhydrol.2023.129933
- Antibiotic transport requires a renewed focus on baseflow as a critical non-point source pathway H. Xie et al. https://doi.org/10.1016/j.envpol.2025.126355
- HARP: A suite of parameters to describe the hysteresis of streamflow and water quality constituents M. Roberts et al. https://doi.org/10.1016/j.jhydrol.2023.130262
- Exploring key factors driving farm-level seasonal irrigation water usage with Bayesian hierarchical modelling Z. Gao et al. https://doi.org/10.1016/j.agwat.2024.108715
- Controls on Spatial Variability in Mean Concentrations and Export Patterns of River Chemistry Across the Australian Continent S. Liu et al. https://doi.org/10.1029/2022WR032365
- Improving the consistency of hydrologic event identification M. Mohammadpour Khoie et al. https://doi.org/10.1016/j.envsoft.2025.106521
- Understanding event runoff coefficient variability across Australia using the hydroEvents R package C. Wasko & D. Guo https://doi.org/10.1002/hyp.14563
- Rivers under stress: geochemical changes along a rural–urban gradient during extreme hydrological events (Greve River, Italy) M. Ferrari et al. https://doi.org/10.1007/s10653-026-03283-9
- Revisiting the Hydrograph Separation Issue Using High-Frequency Chemical Information J. Tunqui Neira et al. https://doi.org/10.1007/s10666-024-09963-z
- Quantifying changes and trends of NO3 concentrations and concentration-discharge relationships in a complex, heavily managed, drought-sensitive river system J. Liu et al. https://doi.org/10.1016/j.jhydrol.2023.129750
- Freshwater modeling in Aotearoa New Zealand: Current practice and future directions K. Dost et al. https://doi.org/10.1016/j.envsoft.2025.106820
- How do storm characteristics influence concentration-discharge hysteresis in a high-elevation tropical ecosystem? P. Peña et al. https://doi.org/10.1016/j.jhydrol.2023.129345
Saved (final revised paper)
Latest update: 14 Sep 2026
Short summary
We investigate the impact of baseflow contribution on concentration–flow (C–Q) relationships across the Australian continent. We developed a novel Bayesian hierarchical model for six water quality variables across 157 catchments that span five climate zones. For sediments and nutrients, the C–Q slope is generally steeper for catchments with a higher median and a greater variability of baseflow contribution, highlighting the key role of variable flow pathways in particulate and solute export.
We investigate the impact of baseflow contribution on concentration–flow (C–Q) relationships...
