Hydrochemical processes and evolutionary mechanisms of groundwater and surface water in the Anlecun mining area: a computational study based on multivariate statistical analysis and isotope techniques
Bibliographic record
Abstract
Karst water plays a vital role on population's daily needs, determining groundwater sources, chemical changes, and accurately evaluating flow paths and evolution stages is essential for proper protection and use of mining area groundwater resources.This study carried 10 sets karst groundwater and surface water samples from the Anle Village mining area.Based on multivariate statistical analysis, Piper trilinear diagrams, Gibbs diagrams, and isotopic techniques, the hydrogeochemical characteristics of karst groundwater (including contaminated and uncontaminated water samples) and surface water in the mining area were analyzed, systematically revealing their recharge sources, recharge ages, and hydrochemical evolution patterns.The results show that the uncontaminated groundwater and surface water are slightly alkaline with a prevalence of a+ N and 2+ Mg cations with 3 HCO and 2-4 SO anions and 2-2+ 2 3 4 HCO -SO -Ca -Mg and 2+ 2 3 HCO -Ca -Mg , respectively.The uncontaminated samples show the high content of impurities with dominance of 2+ Ca and 2+ Mg cations and 2-4 SOanions. the uncontaminated karst groundwater and surface water are predominantly recharged by atmospheric precipitation and are influenced by evaporation.the uncontaminated karst groundwater and surface water is primarily driven by the weathering and dissolution of carbonate, sulfate, and silicate rocks.The -3 NO concentration in the surface water may be associated with agricultural fertilizers, and the contaminated groundwater is closely related to mineral resource development.The research results are of great significance for understanding the circulation and evolution processes of karst groundwater and surface water in the Anle Village mining area and for the protection and utilization of water resources.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".