A method for uncertainty constraint of catchment discharge and phosphorus load estimates

River discharge and nutrient measurements are subject to aleatory and epistemic uncertainties. In this study, we present a novel method for estimating these uncertainties in colocated discharge and phosphorus (P) measurements. The “voting point”‐based method constrains the derived stage‐discharge ra...

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Veröffentlicht in:Hydrological processes 2018-08, Vol.32 (17), p.2779-2787
Hauptverfasser: Hollaway, Michael J., Beven, Keith J., Benskin, Clare Mc W. H., Collins, Adrian L., Evans, Robert, Falloon, Peter D., Forber, Kirsty J., Hiscock, Kevin M., Kahana, Ron, Macleod, Christopher J. A., Ockenden, Mary C., Villamizar, Martha L., Wearing, Catherine, Withers, Paul J. A., Zhou, Jian G., Barber, Nicholas J., Haygarth, Philip M.
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container_end_page 2787
container_issue 17
container_start_page 2779
container_title Hydrological processes
container_volume 32
creator Hollaway, Michael J.
Beven, Keith J.
Benskin, Clare Mc W. H.
Collins, Adrian L.
Evans, Robert
Falloon, Peter D.
Forber, Kirsty J.
Hiscock, Kevin M.
Kahana, Ron
Macleod, Christopher J. A.
Ockenden, Mary C.
Villamizar, Martha L.
Wearing, Catherine
Withers, Paul J. A.
Zhou, Jian G.
Barber, Nicholas J.
Haygarth, Philip M.
description River discharge and nutrient measurements are subject to aleatory and epistemic uncertainties. In this study, we present a novel method for estimating these uncertainties in colocated discharge and phosphorus (P) measurements. The “voting point”‐based method constrains the derived stage‐discharge rating curve both on the fit to available gaugings and to the catchment water balance. This helps reduce the uncertainty beyond the range of available gaugings and during out of bank situations. In the example presented here, for the top 5% of flows, uncertainties are shown to be 139% using a traditional power law fit, compared with 40% when using our updated “voting point” method. Furthermore, the method is extended to in situ and lab analysed nutrient concentration data pairings, with lower uncertainties (81%) shown for high concentrations (top 5%) than when a traditional regression is applied (102%). Overall, for both discharge and nutrient data, the method presented goes some way to accounting for epistemic uncertainties associated with nonstationary physical characteristics of the monitoring site.
doi_str_mv 10.1002/hyp.13217
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subjects Catchment area
Data processing
discharge
epistemic and aleatory uncertainty
Methods
Mineral nutrients
Nutrient concentrations
nutrient load
Phosphorus
Physical characteristics
Physical properties
Power law
rating curve
Regression analysis
River discharge
River flow
Rivers
Uncertainty
Voting
voting point
Water balance
Water discharge
title A method for uncertainty constraint of catchment discharge and phosphorus load estimates
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