The quality of water and sediments of street runoff in Amman, Jordan
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Metallic content (Cr, Fe, Mn, Cu, Ni, Pb and Cd) of street sediments and street runoff in addition to major inorganic constituents (Ca, Mg, Na, K, HCO 3 , Cl, NO 3 and SO 4 ) of street runoff were determined under semi‐arid conditions. Two sites in the vicinity of Amman during the pluvial year 1998–1999 were chosen for this investigation. A higher quantity of ionic contents was found at site 2 in comparison to site 1 except for iron, which was significantly higher at site 1. This finding was attributed to higher anthropogenic activity and lower rainfall at site 2, which indicates better water quality of street runoff from residential sites than the city centre. The average concentrations of Pb, Cu and Cd in Amman street runoff compared with the highest levels recorded at humid sites of the world as a result the prevailing semi‐arid conditions in the areas investigated. The highest concentrations of all constituents were detected during the first month of sampling, which might be the result of low rainfall, and a long dry period of atmospheric deposition preceding rainfall events. However, high levels of both lead and copper were recorded (below that of iron) which might be attributed to traffic pollution. In contrast, a significant variation between the average concentrations for Cu, Ni and Cr was found in sediments from the two sites. Moreover, a significant difference was detected only for Cu and Mn at each site overtime. The overall pattern of the results suggests that all heavy metal concentrations for street runoff showed a significant variation over time at site 1 whereas only a significant variation was found for Ni at site 2, which can be explained as the result of higher rainfall at site 1 than at site 2. Copyright © 2001 John Wiley & Sons, Ltd.
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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 it