MétaCan
Menu
← Back to cohort
Record W2884371308 · doi:10.7939/r3th8bw1s

Ecohydraulics of Nature-Like Fishways and Applications in Arctic Aquatic Ecosystem Connectivity

2015· article· en· W2884371308 on OpenAlexaboutno aff
Cody Kupferschmidt

Bibliographic record

VenueUniversity of Alberta Library · 2015
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArctic and Antarctic ice dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsAquatic ecosystemEcosystemArcticEnvironmental scienceEcologyGeographyEnvironmental resource managementBiology

Abstract

fetched live from OpenAlex

Northern Canada is currently undergoing rapid mineral extraction development. As part of this development there is a need to perform fish habitat compensation projects and build effective fish passage facilities. There is currently limited information available on the hydraulics of nature-like fishways, as well as the behaviour of fish within these structures. Two studies were conducted: one laboratory study and one field study to improve the understanding of ecohydraulics and fish behaviour in nature-like fishways. In the laboratory study a pool-weir style fishway was constructed using both natural rocks and concrete spheres. Weirs were constructed in a flume with one of three geometries: v-facing upstream, v-facing downstream, and horizontal. For the v-shaped weirs an angle of 140 degrees was used on the inside of the v. The aim of this experiment was to examine the influences of slope, discharge, and weir geometry on horizontal velocity, vertical velocity, turbulent kinetic energy, turbulence intensity, Reynolds stresses, and volumetric power dissipation in rock-weir fishways. An acoustic Doppler velocimeter (ADV) and point gauge were used to measure velocity and water surface profiles, respectively, for discharges between 30 and 150 l/s at bed slopes between 1.5% and 5.0%. An effective operating range was identified for the proposed fishway design and a diagram was developed to aid designers in selecting appropriate discharge and bed slopes based on volumetric power dissipation. Two flow regimes were observed: plunging and transitional. A stage-discharge relationship was also developed to provide an improved estimate of discharge when compared with existing equations. Finally, a new method of weir construction was proposed that allows rock-weirs to be constructed off site, reducing installation time and resulting in a more flexible final design. In the field study the performance of a habitat connectivity project in the Canadian Barrenlands was evaluated where a stream was modified through the construction of nature-like fishway structures to increase habitat connectivity for Arctic Grayling (Thymallus arcticus). Under this project the total length of West Island Stream (WIS) was increased from 430 to 470 m and the slope of a steep cascade section deemed a barrier to fish passage was reduced. Five pools were selected in the steep lower-reach of WIS to evaluate for resting suitability for Arctic Grayling. A diesel pump was used to manipulate the flow in WIS (1.0, 9.9, and 21.9 l/s) and an acoustic Doppler velocimeter to measure point velocities within each study pool. Adult Arctic Grayling were placed in the pools and their resting behaviour was observed under each flow condition using visual fish surveys and video recordings. This study showed that stream-scale flow manipulation can be an effective tool in evaluating habitat compensation projects. The results indicated that only one of the study pools would provide acceptable resting habitat during all flow conditions expected during spawning. Based on the observations of the use of pools by fish, it is recommended that future resting pools for Artic Grayling have a minimum surface area of 1.4 m2, a minimum depth of 0.6 m, horizontal velocity magnitudes less than 0.2 m/s, and near-zero vertical velocities.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.176
Threshold uncertainty score0.350

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.162
Teacher spread0.156 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueUniversity of Alberta Library→Same topicArctic and Antarctic ice dynamics→French-language works237,207→