Uncertainty analysis of stage-discharge rating curves for seven rivers at Calvert Island (2013-2015)

Technical report on the development of stage-discharge rating curves for seven rivers draining into Kwakshua Channel (Calvert Island, BC, Canada) and a methodology on discharge uncertainty quantification. The aim of this study was to develop rating curves for seven watersheds in the bog forest environment of Calvert Island, British Columbia, Canada and to investigate the uncertainties related to rating curve development and discharge estimation using the velocity-area and salt dilution discharge measurement methods. Rating curves with 99% confidence intervals were created with good curve fitting results (R2 > 0.97) for three out of seven watersheds. Discharge measured with the velocity-area method had a higher average uncertainty (13.5 – 15.6%) compared to the salt dilution method (5.1%). The largest source of error for the velocity-area method was the uncertainty in the velocity readings followed by the uncertainties in the depth readings, the calibration and systemic errors and uncertainties in the width measurements. Increasing the number of stations gives a better representation of river cross-section and velocity profile. The most important source of error for the salt dilution method was improper salt mixing. The second most important source of error was the uncertainty associated to the calibration correction factor. Hysteresis was not considered a source of uncertainty, but the extrapolation of a rating curve beyond a range of low flow discharge measurements resulted in an underestimation of discharge at higher stages. Lineage a242acd4-e3c7-46e0-8f43-f428fb824018 1347af6c-aedf-4ec6-bd37-ed508df6c40a

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Licence: Creative Commons Attribution 4.0
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Metadata Reference Date(s) September 23, 2021 (Publication)
Dataset Reference Date(s) December 10, 2017 (Publication)
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Field Value
Ocean Variables Other
Scope Dataset
Status On Going
Topic Category oceans
Associated Datasets
Maintenance Note Generated from https://cioos-siooc.github.io/metadata-entry-form
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Hakai Geospatial Technology Team
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Hakai Institute
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Hakai Geospatial Technology Team
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Hakai Institute
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data@hakai.org
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Hakai Institute
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maartje.korver@hakai.org
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Hakai Institute
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maartje.korver@hakai.org
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Hakai Institute
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maartje.korver@hakai.org
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Responsible Party 2
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Maartje C. Korver
Affiliation
Hakai Institute
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maartje.korver@hakai.org
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Temporal Extent
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2013-09-30
End
2015-02-28
Vertical Extent
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0.0
Max
0.0
Default Locale English
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Code Space
Code
10.21966/1.715699
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Version