Integrated Water Management Demonstration Project for Low Impact Development Urban Retrofit and Decentralized Wastewater Treatment Systems in the Upper Patuxent River Watershed, Prince George's County, Maryland
Bibliographic record
Abstract
Prince George's County and their partners (U.S. EPA, City of Laurel, Prince George's County Public Schools, Maryland National Capital Park and Planning Commission, Lowe's Home Improvement Center, and Patuxent River 4-H Center) have been collaborating on a comprehensive storm water management plan using Low Impact Development (LID) for urban retrofit and decentralized wastewater treatment system. The Demonstration Project was funded by a Congressional Earmark Grant of Total Project amount of $1,324,667 the Federal Grant portion is $993,500 (75%) and match portion is $331,167 (25%). LID is a concept that began in Prince George's County, Maryland in 1990 as an alternative to traditional storm water Best Management Practices (BMP's) installed at construction projects. The LID project components are an integrated storm water management approach using LID techniques to retrofit a mixed use, high density area and a decentralized wastewater treatment system. LID techniques can be simple, but cost effective instead of depending on expensive, and complicated collection, conveyance, storage and treatment systems. The LID techniques used in this project are bioretention cells, grass swales, rain barrels/cisterns, green roofs, Bayscaping, and permeable pavements. LID techniques can also play an important role in Smart Growth, Green Infrastructure, and Land Use Planning. The implementation of these techniques will reduce water consumption, run-off, and non-point sources.
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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 | 0.000 | 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 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".