Journal
HYDROLOGICAL PROCESSES
Volume 32, Issue 17, Pages 2779-2787Publisher
WILEY
DOI: 10.1002/hyp.13217
Keywords
discharge; epistemic and aleatory uncertainty; nutrient load; rating curve; voting point
Categories
Funding
- Natural Environment Research Council (NERC) [NE/K002406/1, NE/K002430/1, NE/K002392/1]
- Department for Environment, Food and Rural Affairs (Defra) [LM0304, WQ0212, WQ0211, WQ0210]
- Joint UK BEIS/Defra Met Office Hadley Centre Climate Programme [GA01101]
- BBSRC [BB/R005842/1, BBS/E/C/000I0330] Funding Source: UKRI
- NERC [NE/K002406/1, NE/J017299/1, NE/K002430/1, NE/G008787/1] Funding Source: UKRI
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available