Integrating On-Site Water Management Practices: A Field Study in Prince George's County, Maryland
Bibliographic record
Abstract
Decentralized and integrated stormwater management is becoming an efficient alternative to more conventional "centralized" structural Best Management Practices (BMPs). Decentralized management techniques, targeted to provide infiltration and minimize runoff closer to the sources, not only meet the stormwater control targets but also maintain the natural ecosystem integrity. On the other hand, conservation and reuse of rainwater and grey water are also emerging as environmentally sensitive "green" architectural techniques. Although both stormwater management and green architecture techniques have similarities, the disciplines have had limited interaction in practice. This study takes a holistic approach to site-level water management by examining both in-home and on-site water management concurrently. An integrated assessment of site-scale water balance provides a quantitative assessment of the benefits of a comprehensive approach that results in virtually no off-site runoff. The analysis was performed on a demonstration site location in Bowie, Maryland, that is representative of single family home. A comprehensive site characterization and evaluation of water uses were performed. The site characterization includes a review of site information (e.g., soils, land use, topography, percolation test, and septic system history) and a field exploration including soil borings, infiltrometers, and chemical sampling of rooftop runoff. Water use profiles for the site potable water, grey water, wastewater, rooftop runoff, and stormwater were evaluated to understand the opportunities and alternatives for integrated stormwater management. A number of alternative scenarios were screened through technical, economical, and social feasibilities and potential alternatives were recommended. The study also evaluated and recommended innovative alternatives for designing the site landscaping for cleansing runoff and conserving water through stormwater recycling, and on-site wastewater treatment (septic) system that integrates opportunities to efficiently utilize water at a site scale.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".