Evaluation and Simulation of a Large Scale Pilot Water Farm Project in South Florida
Bibliographic record
Abstract
South Florida, U.S.A. is in the midst of enormous change driven by steady population growth.At the same time the citrus industry has been struggling to contain outbreaks of citrus greening which threaten an important industry in the region.To add to this complexity, the re-plumbing of the Everglades ecosystem, which aims to redirect the flow of surface and groundwater to more natural patterns, is underway.Currently, flow out of Lake Okeechobee is shunted mostly eastward or westward through massive flood control canals.On the east side of Lake Okeechobee water is directed down the C-44 (St.Lucie) canal towards the Atlantic Ocean.These large pulse releases of freshwater can wreak havoc in the St. Lucie Estuary as flora and fauna can be shocked by the near-instantaneous change in salinity due to the large releases as well as by the impacts of nutrients carried in the flows.This study focuses upon a pilot water farm project implemented to provide some interim water storage and treatment benefits in the watershed.This study summarizes the results of a comprehensive assessment of the water farm performance, concentrating on the fate of stored water as well as the overall cost effectiveness of the project.The assessment was greatly aided by the development of complementary simulation tools using MODFLOW and Solver, which is also discussed.Finally, this paper discusses how this idea can be scaled up and used in other projects to support the restoration of the Everglades and overall sustainable development in Florida and other places further afield. Methodology 1.OverviewThis paper summarizes the overall technical assessment of a 168 ha water farm, an artificial recharge pilot project located in Martin County, Florida that is designed to collect water from the nearby C-44 canal and percolate the water into the surficial aquifer system.The water farm project has been in operation since February 2014.This pilot project is one component of the South Florida Water Management District's (SFWMD) dispersed water management program which is designed to partner with private landowners around Lake Okeechobee to either store or retain excess stormwater on their properties (SFWMD 2013).
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".