Spatial distribution of flow currents and habitats in artificial buffer zones for ecosystem-based coastal engineering
Bibliographic record
Abstract
As the process of urbanization progresses, coastal engineering are posing serious threat to the local ecosystems. The poorly designed coastal engineering will have irreversible effects on local ecosystems, such as the biodiversity declination, the connectivity destruction and the ecosystems deterioration. Therefore, it is very necessary to improve the concept of ecosystem-based coastal engineering design. In strict accordance with the notion of eco-seawall, in this research, the hydrodynamic change in 20 engineering scenarios was discussed and determined the spatial distribution of suitable habitats for aquatic species, which defined as the niche of aquatic organisms in the dimension of hydrodynamic. This research was conducted by carrying out pilot-scale experiment with an aim to enhance the traditional coastal engineering in terms of (a) measuring the intensity of hydrodynamic variations by adding artificial beach or buffer zone (b) determining the overtopping risks in varying working conditions (c) visualizing the distribution of optimal habitat areas with hydrodynamic parameters as eco-niche dimension. As revealed by the results, four working conditions pose low overtopping risk and exhibit uniform distribution of flow (No.1, No.2, No.8 and No.14). Additionally, the suitable habitats distribution have been visualized for 4 types of working condition with safety structure. A conclusion can be drawn that there are significantly fewer unsuitable habitat areas in the No.14 scenario as compared to other schemes. In general, this research is conducive to improving the development of ecosystem-based coastal engineering.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 teacher head, 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".