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Enregistrement W6944977257 · doi:10.21966/1.243102

Stage-Discharge Time Series - Calvert Island - Archived

2016· dataset· en· W6944977257 sur OpenAlex

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Notice bibliographique

RevueHakai Institute · 2016
Typedataset
Langueen
DomaineAgricultural and Biological Sciences
ThématiqueHorticultural and Viticultural Research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCalibrationDilutionVolume (thermodynamics)Pressure sensorNoise (video)Flow measurementTelemetryHydrology (agriculture)Pressure measurementSTREAMS

Résumé

récupéré en direct d'OpenAlex

Streamflow calculation; a component of the Kwakshua Watersheds Program In natural streams it is not possible to continuously measure stream discharge, thus an indirect approach was used, where river height (stage) was continuously measured at a gauging station using a pressure transducer, with periodic manual measurements of discharge along the range of potential stages to develop a stage-discharge rating curve. Low flows were manually measured using the velocity-area method, with either a Swoffer Current Velocimeter or a Sontek Acoustic Doppler Velocimeter. Moderate to high flows (generally greater than 1cms) were measured using the salt dilution method, either manually (dry salt) and/or remotely (starting in the fall of 2015), using a fully automated system to release pre-defined volumes of salt solution at pre-defined water stages at an upstream location, with permanently installed electrical conductivity sensors located down-stream, one on either side of the stream to measure the salt wave passing through. Data are available in near real-time using the Hakai Telemetry Network (Floyd and Brunsting, 2015). A calibration factor, required for the salt dilution method, was manually calculated at a minimum twice per barrel refill of salt solution, once at the initial fill and the other with the remaining solution before re-fill. All discharge measurements were assigned a relative uncertainty, based on fluctuations in the flow velocity profile (for area-velocity method), or based on the uncertainty in the volume of salt solution, the EC sensor resolution and the EC sensor calibration factor (for salt dilution method). Measurements with uncertainties higher than 20%, with noise or malfunctioning conductivity sensors, or with high uncertainties in stage monitoring were excluded from further analysis. The remaining discharge-stage measurements were plotted as a power-law equation (Q = Ce*(H-h0)^A) in excel, to analyze if there were clear outliers, to determine the approximate value of h0 and to determine if the data could be fitted on one curve, or if they would fit better on a low flow and high flow curve, separated by an 'inflection point'. After this, the rating curve equation was optimized using a non-linear least-squares fitting Python model (LMFit, 2015). A detailed description of these methods have been documented in the MSc thesis of Maartje Korver (2015). A 95% confidence interval was plotted around the rating curve following the methods described by Herschy, RW (1994). Finally, this discharge time-series was created using 5 minute average stage measurements. Extra caution must be taken when using calculated discharges greater than the highest measured discharge (noted in this file as 'Max measured discharge' ), because the extrapolation of a rating curve beyond a set of measurements is usually highly uncertain and can greatly over or under estimate discharge. THESE DATA are provided AS IS and will continuously improve as additional discharge measurements are taken. Users should re-check for periodic updates to the rating curves and subsequent discharge files. If errors are found please contact Bill.Floyd@viu.ca. REFERENCES Floyd W, Brunsting R. 2015. Hydrology and Climate. Establishing a hydrological and meteorological observation network on an outer coast island of the coastal temperate rainforest. http://www.hakai.org/research/kwakshua-watershed-program/hydrology-and-climate LMFit Development Team. 2015. Lmfit, Least-squares Minimization with Bounds and Constraints. http://lmfit.github.io/lmfit-py/, version 0.8.3. Herschy RW. 1994. The analysis of uncertainties in the stage-discharge relation. Flow Meas. Instrum., Vol. 5 No. 3. Korver MC. 2015. Uncertainty analysis of stage-discharge rating curves for seven rivers at Calvert Island, British Columbia, Canada. The following paragraphs summarize the content of the different tabs of the stage-discharge time series calculation sheets. METADATA Version number, version date and list of edits done to the spreadsheet. Contact info, location information, site description, general field methods, general data QC and analysis and watershed specific comments. INSERT RATING CURVE EQUATION A rating curve is a power law equation relating water level (stage) to streamflow (discharge). The rating curve coefficients displayed in this tab were calculated in a separate file (not included here). If interested to view this file or to know more about rating curve calculation methods, please contact Bill Floyd (Bill.Floyd@viu.ca). PLOT RATING CURVE A display of the rating curve and the discharge measurements used to create the rating curve. DISCHARGE TIME SERIES 5 minute average stage measurements and discharge calculations for a full water year (Oct to Sep). Date and time - Start: date and start time of the 5 minute time span over which stage data, recorded every second, are averaged. Displayed in Pacific Standard Time. Date and time - End: date and end time of the 5 minute time span over which stage data, recorded every second, are averaged. Displayed in Pacific Standard Time. Stage SSNxxx 5 min Avg: 5 minute average stage in cm for watershed xxx. SSNxxx refers to the Hakai ID of the pressure transducer used for stage measurements. Stage SSNxxx QC label: Quality control label of the stage measurement. QC labels can be IP= Missing data, so stage was linearly interpolated, or C = erroneous data, corrected. Stage data was considered erroneous when <0 or when physically impossible jumps in stage data were recorded. Discharge calculated: calculated discharge, based on rating curve equation, in m3/s. Discharge measured: discharge as measured in the field in m3/s. Max discharge measured: The highest discharge measured up-to-date in m3/s. This is a rough indication for the accuracy level of the calculated discharge; if higher than the maximum discharge measured, the uncertainty of the calculation is high and should be used with caution. Discharge CI (95%) max: maximum possible calculated discharge value based on the 95% confidence interval around the rating curve. Discharge CI (95%) min: minimum possible calculated discharge value based on the 95% confidence interval around the rating curve. PLOT TIME SERIES Display of calculated discharge in m3/s over time, as well as the maximum measured discharge value (to visually show which calculated discharges plot above this line and should be used with caution) and the discharge measurements taken in this specific time period. STATISTICS Total discharge: the total volume of water in m3 discharged through the outlet of the watershed and time period specified in the spreadsheet. Total discharge > max measured Q: the volume of water in m3 that was discharged at a flow rate higher than the highest measured discharge. % of total discharge > max measured Q: the percentage of total discharge that was discharged at a flow rate higher than the highest measured discharge. This shows the fraction of the calculated discharges that should be used with caution. % of time > max measured Q: the percentage of time in which discharge was higher than the highest measured discharge. This shows the fraction of time in which the discharge calculations have a high uncertainty. ACKNOWLEDGEMENTS We wish to thank everyone involved in the design, installation and maintenance of the automated salt dilution system. Without the discharge data obtained from this method, the rating curves would have had very high uncertainty at moderate to high flows, resulting in a poor quality discharge data set. Finalizing the data set required the help of many people and organizations. Hakai Energy Solutions (HES) provided innovative solutions to our power, infrastructure and programming needs for the automated salt dilution system and telemetry network. HES staff who assisted with installations and design include Jason Jackson, Parker Christensen, Darren Cashato, Michel Stigter, Andrew Sharroak and Dave Snow. Stewart Butler from Vancouver Island University (VIU) helped with field maintenance, installations and data processing; Shawn Hateley and Will McInnes from the Hakai Institute helped with IT support, installations and field maintenance. And finally there were many Hakai Institute field assistants that helped take manual discharge measurements, install infrastructure and weigh and carry salt into the watersheds, including Nelson Roberts, Grant Callagari, Lawren McNab, David Norwell, Midoli Bresch, Ben Millard-Martin, Carolyn Knapper, Ondine Pontier, Christian Standring, Libby Harmsworth, Chris Coxson and Kaia Bryce. And a final thanks to John Fraser and Robert Hudson who provided much fruitful discussion in developing automated discharge gauging systems over the past 10 years. Finally, we are grateful for the excellent care of the facility staff at Calvert Island.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Jeu de données · Signal consensuel: Jeu de données
Score de désaccord entre enseignants0,056
Score d'incertitude au seuil0,995

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0000,001
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0110,006

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,028
Tête enseignante GPT0,266
Écart entre enseignants0,238 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle