Risk Assessment of Natural Radioactivity and Heavy Metals Pollution at Ras-Gharib Al-Zafarana Area, Red Sea Coast, Egypt.
Bibliographic record
Abstract
There is a lot of information that needs to be known before implementing economic development projects in a study area. So, Twenty-two different environmental samples were collected from soil, sediment, and coastal water samples to examine the concentrations of natural radioactive elements of 226Ra, 232Th, and 40K Bq/kg by a Hyper Pure Germanium Detector Gamma-Ray Spectrometry and the concentrations of selected heavy elements in the coastal environment samples, also measured using inductively coupled plasma-optical emissions spectroscopy technique. Besides that, hourly metrological data for this site for the year 2020 were taken into account. The maximum activity values recorded for soil were 447.65 Bq/kg, 19.5 Bq/kg, and 17.88 Bq/kg for 40K, 232Th, and 226Ra, respectively; and maximum values for sediment were 357.4 Bq/kg, 16.32 Bq/kg, and 4.3 Bq/kg for 40K, 232Th, and 226Ra, respectively; also The maximum activity concentrations of 40K, 232Th, and 226Ra for water were 23.54 Bq/l, 2.03 Bq/l, and 2.0 Bq/l, respectively. The obtained results were compared with ranges reported in the literature from other sites in the world. Radiation hazard parameters were also calculated and compared with recommended levels in UNSCEAR reports. Levels of heavy elements, Fe, Cu, Zn, Pb, Ni, and Cd in water and sediment samples were compared with the Canadian Environmental Quality Guidelines and there is some variation within the study area. Water quality parameters (temperature, total dissolved solids, hydrogen ion concentration, dissolved oxygen, and oxidation/reduction potential) show that concentrations are influenced by the intensity of human activity.
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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 | 0.000 |
| 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 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".