Geoprocessing Tools for Surface and Basement Flooding Analysis in SWMM
Bibliographic record
Abstract
A geoprocessing routine was used for the development of a modified combined sewer conveyance system model to aid in defining the magnitude of basement backups and surface flooding, which often occur in older urban areas served by combined sewer systems. Detailed stage-storage relationships (including both basement and surface flooding storage) were developed utilizing standard GIS tools, a geospatial sewer network, building footprint boundaries, and a high resolution digital elevation model. In addition to representing more accurate stage-storage volumes in SWMM, the routing of surface floodwater was also simulated. Predicted peak water elevations in the conveyance system were then post-processed in GIS to determine the location within each subcatchment where basement or surface flooding was experienced. This approach, when compared to a more traditional sewer system hydraulic model, resulted in more accurate flood volume and depth calculations. Additionally, this routine produced a more accurate representation of street and building flood inundation within the study area.
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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 | 0.001 | 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 | 0.001 |
| 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".