GEOCHEMICAL SPECIATION AND POTENTIAL ECOLOGICAL RISK OF VANADIUM IN THE SOIL IN THE PANZHIHUA PARK
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Although Vanadium is essential to human,it is toxic to animals and plants if they are receive too much of it.Mining is one of the main causes for the increasing pollution of heavy metals in soil.Recently,people pay more and more attention to the pollution of vanadium in the soil.Soil samples were collected in the Panzhihua Park in dry season and rainy season respectively.Geochemical forms of vanadium in the soil were studied by improved BCR extraction procedure.In addition,the regional patterns of geochemical speciation and variety factors of vanadium were discussed.The pollution and potential ecological risk of vanadium in the soils were assessed.It was indicated that the chemical speciation of vanadium was characteristic of residualoxidisablereducibleacid soluble,and there was no clearly different speciation of vanadium in soil between dry season and rainy season.It was also showed that the high mass fraction of speciation of vanadium was in the entrance of the park,where the stream of people density was high than other places.While in children pleasure ground and rest area the high abnormity of vanadium is not obvious.According to Chinese soil background value,the pollution index of vanadium in soil in the park is high and exceeds standard rate of 100%.While according to environmental quality standard of vanadium in soil of Canadian park,the pollution index is lower,but still have half of the samples over the standard.In addition,the pollution index is higher in rainy season than in dry season.Finally,the ecological risk of vanadium in the soil was low by Risk Assessment Code(RAC),so attention should be paid to the vanadium pollution in the area.
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.
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) | 0.000 | 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 it