Sustainability assessment and environmental impacts of water supply systems: a case study in Tampa Bay water supply system
Bibliographic record
Abstract
Due to the accelerated industrial and urbanization development, climate change, and increasing populations and life quality expectations, the issue of drinking water shortage has raised much public awareness. The desalination system has been widely applied to accommodate the growing demand for clean water resources despite the continuous concerns about its relatively higher energy consumption and environmental footprints. This research conducted a case study in the Tampa Bay Regional Surface Water Treatment Plant and Tampa Bay Seawater Desalination Plant in Florida, U.S. It analysed the performance and environmental impacts of conventional and desalination water supply systems on three sides: energy consumption, carbon footprint, and solid waste. Potential negative effects of both water supply systems are generally associated with surface water ecology, groundwater aquifers, coastal environment, and marine organisms. Various environmental impact mitigation plans have been proposed to prevent or restore the detriments caused by carbon dioxide emissions, plant construction, and concentrated brine discharge. Due to the deficiency in freshwater resources, desalination technology is more promising through proper regulations and regional sustainable development.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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 | 0.001 |
| 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".