Evaluating the Effectiveness of Water Sensitive Urban Design (WSUD) Measures in reducing Runoff at the Water Institute in Dar es Salaam, Tanzania.
Bibliographic record
Abstract
Rapid urbanization in cities like Dar es Salaam has led to increased stormwater runoff due to expanding impervious surfaces and insufficient drainage systems. The Water Institute, one of the region’s fastest-growing institutions, is also experiencing these pressures. This study investigates the effectiveness of Water Sensitive Urban Design (WSUD) measures such as bioretention ponds, rain gardens, rain barrels, and infiltration trenches at the Water Institute (WI) using the Storm Water Management Model (SWMM). A Digital Elevation Model (DEM) and ArcGIS 10.4 were used for topographic and hydrological analysis, while soil infiltration capacity was measured in the field using a Guelph permeameter, which indicated rates ranging from 1.6 to 14.9 mm/hr. Simulations revealed that combining multiple WSUD measures could reduce stormwater inflows into the drainage system by up to 68.2%, indicating substantial reduction in surface runoff volumes generated from impervious campus areas. These findings underscore WSUD’s value in managing urban runoff, promoting sustainability, and highlight the need for broader application across the Dar es Salaam and other rapidly urbanizing cities.
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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 | 0.008 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".