Groundwater Flow Dynamics and Distribution of Hydrochemical Facies Using GIS in Hodna Plain, M’Sila, Southeastern Algeria
Bibliographic record
Abstract
With the aid of the Geographic Information System (GIS), the present study aims to describe the relationship between groundwater flow systems and the distribution of chemical facies.The research also discusses the different geochemical processes which are responsible for the evolution of groundwater chemistry.Analytical studies of 25 groundwater samples indicate mean cation values such as Ca 2+ (209.1 mg•l 1-), Mg 2+ (116 mg•l 1-), Na + (239 mg•l 1-) and K + (2.8 mg•l 1-).The mean anion values are SO4 2-(3.7 mg•l 1-), Cl -(22.5 mg•l 1-), and NO3 -(2.2 mg•l 1-).The GIS using topo to raster and multivariate statistical techniques were applied to the groundwater quality analyses obtained in order to define the major control factors that affect the plain hydrochemistry of Hodna.The statistical analysis reveals the presence of three groups, presenting an increased potential of salt content in the groundwater flow direction.Initially, in the aquifer boundaries and in the infiltration areas, the facies result as bicarbonate.In the southern part of the plain, groundwater becomes SO4-Cl rich, because of the dissolution of salt formations and the presence of the Hodna salt water lake.The Cluster Analysis has described the effects of rock water activity and overexploitation of water intended for irrigation as being responsible for altering groundwater chemistry in the area.Rock-water interaction diagrams show chemical weathering caused by precipitation, along with dissolution of minerals forming soil.The scattered plots among ions revealed geochemical processes such as carbonate weathering, silicate weathering, cation exchange and reduction of sulphate.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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".