Destruction of DNAPL through a Green Technology—TCE Source Area Bioremediation
Bibliographic record
Abstract
A single-injection of a proprietary electron donor additive remediated a trichloroethene (TCE) dense non-aqueous phase liquid (DNAPL) source, reducing TCE concentrations by 99.99 percent in less than 9 years. The remedial program achieved the enhanced reductive dechlorination (ERD) of chlorinated volatile organic compounds (cVOCs) within an overburden groundwater source area at a site located in central New Hampshire, USA. The baseline TCE concentration was 97,400 micrograms per liter (μg/L) in September 2001 and decreased to less than 10 μg/L by May 2010. This green technology destroyed the DNAPL and has shown great promise at other cVOC-impacted sites for both full-scale and Proof-of-Concept remedial programs. The Proof-of-Concept test, which is discussed at the end of the paper, is an economical means to evaluate feasibility and advance a site toward cost-effective full-scale remediation.
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 | 0.000 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".