A systematic review of Muskingum flood routing techniques
Why this work is in the frame
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Bibliographic record
Abstract
Flood routing is an important topic in engineering hydrology and an integral part of flood management and hydrodynamic modelling studies. Muskingum and Muskingum-Cunge methods are commonly used in flood routing studies. Here, we perform a systematic review of research on linear and non-linear Muskingum and Muskingum-Cunge flood routing methods to document how they have contributed to the development of flood science. Specifically, we document the evolution of publications involving Muskingum flood routing methods between 1938 and 2021. Research gaps progressively filled over time include the use of optimization algorithms, and tools for uncertainty and sensitivity analysis. In addition, we document various case studies that were conducted to improve flood routing performance. The chronological analysis reveals performance improvement of Muskingum and Muskingum-Cunge models in terms of cost effectiveness, user friendliness and ease of use.
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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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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