Riverbank migration and island dynamics at the Padma-Meghna confluence: A multi-temporal analysis of erosion and deposition patterns
Why this work is in the frame
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Bibliographic record
Abstract
The Padma and Meghna rivers, both alluvial, converge at Chandpur, forming the Lower Meghna and channeling water from the GBM basins toward the Bay of Bengal. Annual erosion at this confluence displaces riverbanks, degrades land, and displaces inhabitants, impacting public infrastructure. This study examines riverbank migration and island dynamics near the confluence, focusing on erosion and deposition patterns using Landsat images (1980–2024). Results reveal that combined banks lost 35.83 m/yr but gained 54.23 m/yr, with the Padma’s right bank most erosion-prone (77.29 m/yr). Additionally, the right bank erodes more significantly, moving southeast, while the left bank gradually shifts northeast. Larger islands show greater stability during floods compared to smaller, dynamic ones. This research offers new insights into the erosion-deposition processes and riverbank migration at the Padma-Meghna confluence. • Padma-Meghna confluence faces significant erosion near Chandpur. • Landsat images (1980-2024) analyzed for riverbank and island changes. • Padma right bank erodes fastest (77.29 m/yr), shifting southeast over time. • Combined banks lost 35.83 m/yr but gained 54.23 m/yr, stabilizing post-2006. • Larger islands are stable; smaller islands change.
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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