Flood Management of Sistan River using Levee
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Flood is one of the natural disasters that leave great deal of financial and human losses every year. Application of levee is among the common flood control measures. Sistan Alluvial Plain is permanently prone to floods because of being situated on the edge of Hirmand Basin and also having negligible ground slope. Increasing of maximal flow rate by levee, using HEC-RAS mathematical model were studied in the present research. For this purpose, the geometrical plan of the river was prepared with the aid of HECGeoRAS software and through using regional topography data. After importing the data to HEC-RAS model, flood phenomenon was simulated in different return periods. Results of the current research indicate that Sistan River is not able to transport water at a flow rate exceeding 810 (m 3 /s); this current is equivalent of flood with recurrence interval of 9 years. To enhance the flood conveyance capacity of Sistan River, levee structure was applied. The results show that using levee increased river’s conveyance capacity up to the flow rate of 1700 (m 3 /s) which is equivalent of a recurrence interval of 107 years. Therefore, application of levee on Sistan River can favorably mitigate the risks resulting from flooding in Sistan Plain.
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.
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 it