Assessment of Water Erosion in the Houran Valley Using the Gavrilovic Erosion Potential Method and Geomatics Techniques
Bibliographic record
Abstract
The research focused on studying and analyzing the Wadi Hawran basin, the largest dry basin in Iraq, located within the administrative borders of Anbar Governorate.The study aimed to build a geographical database that would identify the problems that the region's soils suffer from, most notably soil erosion.The Gavrilovic Erosion Potential Method (EPM) was applied to estimate soil erosion, and the natural characteristics of the basin were analyzed: slope, temperature, rainfall, and the effect of vegetation cover were analyzed in determining the volume of lost soil.The application of the EPM model revealed the presence of a risk in the severe erosion category concentrated in the western regions, where the slope degree increased by 1.7%, and the area was 306.6/km 2 .As for the weak erosion category, it constituted the highest percentage at 44.11% and an area of 7917.07/km 2 .The use of remote sensing techniques showed a high possibility of determining the amount of eroded soil in Wadi Hauran.Here, it was possible to create a spatial database in the form of maps and tables that would clarify the spatial distribution of areas exposed to erosion.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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 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".