scholarly journals Key factors influencing differences in stream water quality across space

2017 ◽  
Vol 5 (1) ◽  
pp. e1260 ◽  
Author(s):  
A. Lintern ◽  
J.A. Webb ◽  
D. Ryu ◽  
S. Liu ◽  
U. Bende-Michl ◽  
...  
Keyword(s):  
Water Quality ◽  
Stream Water ◽  
Key Factors ◽  
Stream Water Quality ◽  
Factors Influencing

scholarly journals Key Factors Affecting Temporal Variability in Stream Water Quality

2019 ◽  
Vol 55 (1) ◽  
pp. 112-129 ◽  
Author(s):  
D. Guo ◽  
A. Lintern ◽  
J. A. Webb ◽  
D. Ryu ◽  
S. Liu ◽  
...  
Keyword(s):  
Water Quality ◽  
Temporal Variability ◽  
Stream Water ◽  
Key Factors ◽  
Stream Water Quality ◽  
Factors Affecting

scholarly journals A Bayesian approach to understanding the key factors influencing temporal variability in stream water quality: a case study in the Great Barrier Reef catchments

2021 ◽  
Author(s):  
Shuci Liu ◽  
Dongryeol Ryu ◽  
J. Anugs Webb ◽  
Anna Lintern ◽  
Danlu Guo ◽  
...  
Keyword(s):  
Water Quality ◽  
Great Barrier Reef ◽  
Temporal Variation ◽  
Temporal Variability ◽  
Stream Water ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
Barrier Reef ◽  
Key Factors ◽  
Stream Water Quality

Abstract. Stream water quality is highly variable both across space and time. Water quality monitoring programs have collected a large amount of data that provide a good basis to investigate the key drivers of spatial and temporal variability. Event-based water quality monitoring data in the Great Barrier Reef catchments in northern Australia provides an opportunity to further our understanding of water quality dynamics in sub-tropical and tropical regions. This study investigated nine water quality constituents, including sediments, nutrients and salinity, with the aim of: 1) identifying the influential environmental drivers of temporal variation in flow event concentrations; and 2) developing a modelling framework to predict the temporal variation in water quality at multiple sites simultaneously. This study used a hierarchical Bayesian model averaging framework to explore the relationship between event concentration and catchment-scale environmental variables (e.g., runoff, rainfall and groundcover conditions). Key factors affecting the temporal changes in water quality varied among constituent concentrations, as well as between catchments. Catchment rainfall and runoff affected in-stream particulate constituents, while catchment wetness and vegetation cover had more impact on dissolved nutrient concentration and salinity. In addition, in large dry catchments, antecedent catchment soil moisture and vegetation had a large influence on dissolved nutrients, which highlights the important effect of catchment hydrological connectivity on pollutant mobilisation and delivery.

Multi-scale landscape factors influencing stream water quality in the state of Oregon

2008 ◽  
Vol 156 (1-4) ◽  
pp. 343-360 ◽  
Author(s):  
Maliha S. Nash ◽  
Daniel T. Heggem ◽  
Donald Ebert ◽  
Timothy G. Wade ◽  
Robert K. Hall
Keyword(s):  
Water Quality ◽  
Stream Water ◽  
The State ◽  
Stream Water Quality ◽  
Multi Scale ◽  
Factors Influencing ◽  
Landscape Factors

scholarly journals A Bayesian approach to understanding the key factors influencing temporal variability in stream water quality – a case study in the Great Barrier Reef catchments

2021 ◽  
Vol 25 (5) ◽  
pp. 2663-2683
Author(s):  
Shuci Liu ◽  
Dongryeol Ryu ◽  
J. Angus Webb ◽  
Anna Lintern ◽  
Danlu Guo ◽  
...  
Keyword(s):  
Water Quality ◽  
Great Barrier Reef ◽  
Temporal Variation ◽  
Temporal Variability ◽  
Stream Water ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
Barrier Reef ◽  
Key Factors ◽  
Stream Water Quality

Abstract. Stream water quality is highly variable both across space and time. Water quality monitoring programmes have collected a large amount of data that provide a good basis for investigating the key drivers of spatial and temporal variability. Event-based water quality monitoring data in the Great Barrier Reef catchments in northern Australia provide an opportunity to further our understanding of water quality dynamics in subtropical and tropical regions. This study investigated nine water quality constituents, including sediments, nutrients and salinity, with the aim of (1) identifying the influential environmental drivers of temporal variation in flow event concentrations and (2) developing a modelling framework to predict the temporal variation in water quality at multiple sites simultaneously. This study used a hierarchical Bayesian model averaging framework to explore the relationship between event concentration and catchment-scale environmental variables (e.g. runoff, rainfall and groundcover conditions). Key factors affecting the temporal changes in water quality varied among constituent concentrations and between catchments. Catchment rainfall and runoff affected in-stream particulate constituents, while catchment wetness and vegetation cover had more impact on dissolved nutrient concentration and salinity. In addition, in large dry catchments, antecedent catchment soil moisture and vegetation had a large influence on dissolved nutrients, which highlights the important effect of catchment hydrological connectivity on pollutant mobilisation and delivery.

Data from selected U.S. Geological Survey National Stream Water-Quality Networks (WQN)

Data Series ◽  
10.3133/ds37 ◽  
1996 ◽  
Author(s):  
Richard B. Alexander ◽  
J.R. Slack ◽  
A.S. Ludtke ◽  
K.K. Fitzgerald ◽  
T.L. Schertz ◽  
...  
Keyword(s):  
Water Quality ◽  
Stream Water ◽  
Geological Survey ◽  
Stream Water Quality
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