Synthesizing the impacts of baseflow contribution on concentration–discharge (C–Q) relationships across Australia using a Bayesian hierarchical model

Understanding concentration-discharge (C-Q) relationships can inform catchment solute and particulate export processes. Previous studies have shown that the extent to which baseflow contributes to streamflow can affect C-Q relationships in some catchments. However, the current understanding on the e...

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Bibliographic Details
Published in:Hydrology and earth system sciences 2022-01, Vol.26 (1), p.1-16
Main Authors: Guo, Danlu, Minaudo, Camille, Lintern, Anna, Bende-Michl, Ulrike, Liu, Shuci, Zhang, Kefeng, Duvert, Clément
Format: Article
Language:English
Subjects:
Analysis
Arid climates
Aridity
Bayesian analysis
Biogeochemistry
Catchment area
Catchments
Chemistry
Climate
Concentration gradient
Discharge
Electrical conductivity
Electrical resistivity
Exports
Groundwater
Hydrology
Nitrogen compounds
Oxides
Particulates
Phosphorus
Probability theory
Sediments
Slopes
Solid suspensions
Solutes
Storm seepage
Stream discharge
Stream flow
Streamflow
Subsurface flow
Surface water
Suspended particulate matter
Temporal variations
Total suspended solids
Tropical climate
Tropical climates
Water quality
Water quality variables
Water sources
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Summary:Understanding concentration-discharge (C-Q) relationships can inform catchment solute and particulate export processes. Previous studies have shown that the extent to which baseflow contributes to streamflow can affect C-Q relationships in some catchments. However, the current understanding on the effects of baseflow contribution in shaping the C-Q patterns is largely derived from temperate catchments. As such, we still lack quantitative understanding of these effects across a wide range of climates (e.g. arid, tropical and subtropical). The study aims to assess how baseflow contributions, as defined by the median and the range of daily baseflow indices within individual catchments (BFI_m and BFI_range, respectively), influence C-Q slopes across 157 catchments in Australia spanning five climate zones. This study focuses on six water quality variables: electrical conductivity (EC), total phosphorus (TP), soluble reactive phosphorus (SRP), total suspended solids (TSS), the sum of nitrate and nitrite (NO.sub.x) and total nitrogen (TN). The impact of baseflow contributions is explored with a novel Bayesian hierarchical model.
ISSN:1607-7938
1027-5606
1607-7938
DOI:10.5194/hess-26-1-2022