Minimum flow requirement for fish population affected by dam construction in temperate areas
Bibliographic record
Abstract
Dam construction on rivers and streams provide desired benefi ts such as freshwater, hydroelectric power, and fi sh.Dam-related operation includes fl ow augmentation procedures such as fl ow regulation, fl ood releases or fl uctuating fl ow releases, all of which have a detrimental impact on the downstream aquatic habitat like benthic macroinvertebrate zooplankton, phytoplankton and fi sh.In order to avoid negative impacts, a minimum fl ow release downstream of the dam is recommended.Minimum fl ow is the planned release of small amounts of water for ecological sustenance.During summer, the river to the downstream of the dam becomes dry which is detrimental from the fi shery point of view, as the migration of the fi shes is disrupted.Fishes are accustomed to live in fl owing river conditions, with their life cycle stages requiring the following factors: low silt content, well-oxygenated intra-gravel fl ows and minimum current, depth, velocity of water, dissolved oxygen.These factors are altered due to dam construction and restricted release of downstream fl ow.Fishes that feed on the invertebrate organisms like benthos and zooplankton are also affected by dammanipulated fl ow.In order to maintain the aquatic habitat downstream of the dam, authorities recommend minimum fl ow according to the habitat.The signifi cance of minimum fl ow is that it is needed to keep the streambed wet to an acceptable depth to support fi sh populations.This paper describes how minimum fl ow in the river, downstream of a dam, is the main requirement in the life cycle of fi sh with respect to feeding habit and reproduction.The paper also gives examples of various dam-related recommended fl ows with respect to the life cycle of the fi sh.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".