Assessment of groundwater abstraction and hydrogeochemical investigation in Arusha city, northern Tanzania
Bibliographic record
Abstract
In this work geological and hydrogeochemical data, radioisotopes and stable isotopes, and groundwater hydrographs were used to assess the groundwater abstraction trends and hydrogeochemical characteristics of Arusha wellfield in Arusha city. Groundwater salinity in terms of conductivity (EC) was also used to delineate salinity occurrence and distribution in different parts of Tanzania including Arusha where this study was carried out. The hydrogeochemical results revealed Na-K-HCO 3 water type. Water-rock interaction seems to be the main process determining the groundwater chemistry in the study area. The analysis of geological sections showed two potential aquifers, volcanic sediment and weathered/fractured both of which yield water with high fluoride. Eighty two (82) percent of the analyzed groundwater samples indicated fluoride concentrations higher than WHO guidelines and Tanzanian drinking water standards (1.5 mg/l). Groundwater hydrographs indicated significant groundwater depletion. Water level decline of about 1.0 m/year and discharges reduction of 10 to 57% were observed from the year 2000 to 2017. The radiocarbon isotope signatures showed that groundwater with mean age of 1400 years BP to modern was being abstracted from the wellfield. Recently recharged water was also evidenced by high 14 C activities (98.1±7.9 pMC) observed in spring water. Both groundwater hydrographs and isotope signatures suggest that the Arusha wellfield is already stressed due to groundwater over-abstraction. Through groundwater salinity mapping, it was revealed that generally Arusha has fresh groundwater but with relatively high electric conductivity (10002000 µS/cm). The high salinity levels are partly due to dissolution of trona (evaporate mineral) commonly found in the East African Rift System. It was further revealed that lack of reliable hydrogeological information including interaction between surface water and groundwater hinders water resources management efforts particularly issuance of water use permit. Based on the findings of this study, it is recommended to carry out groundwater flow patterns modelling to show how unregulated drilling affects the deep wells currently depletion problem.
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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 | 0.001 |
| 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) | 0.001 | 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".