EVALUATION OF DISSOLVED INORGANIC AND ORGANIC CARBON CONCENTRATIONS (DIC, DOC) AND THEIR ISOTOPIC COMPOSITIONS (δ13C-DOC, δ13C-DIC) IN WATER RESOURCES OF THE KARDE CATCHMENT (NORTH OF MASHHAD)
Bibliographic record
Abstract
In this paper, the variations of dissolved inorganic and organic carbon (DIC, DOC) concentrations and their isotopic compositions (δ13C- DIC, δ13C- DOC) were evaluated in both surface and ground water resources in the Karde catchment area (with an area of about 547 Km2, located in the North of Mashhad). To identify the sources of the dissolved carbon (DIC and DOC), samples were collected in June 2011 from surface and ground water resources (river, dam’s lake, springs, wells, and Qanat) and from depths of 1, 5, 10, 15, and 20 meters of Karde dam lakeat a point located near the dam outlet. Field parameters (T, EC, and TDS) were measured during sampling. All measurements were performed in the G.G. Hatch Stable Isotope Laboratory at the University of Ottawa, Canada. The concentrations and isotopic compositions of DIC and DOC were determined using TCA and CF-IRMS instruments, respectively. Based on the results obt 1-دانشیار،مرکزتحقیقاتآبهایزیرزمینی) متآب)،دانشکدهعلوم،دانشگاهفردوسی مشهد،،مشهد، ایران 2- دانشجوی کارشناسی ارشدهیدروژئولوژی، مرکزتحقیقاتآبهایزیرزمینی) متآب)،دانشکده علوم،دانشگاهفردوسیمشهد، مشهد، ایران *نویسنده مسئول، پست الکترونیکی:mohammadzadeh@um.ac.ir ained, the average values of DIC are 54.1 mg/l and 66.8 mg/l in the surface and ground water resources in the Karde catchment area, respectively; the average values of DOC are 2.2 mg/l and 0.45 mg/l; the average values of δ13C-DIC are -7‰ and -11 ‰; and the average values of δ13C-DOC are -31.6‰ and -29.5 ‰, respectively. In general, the concentrations of DIC, DOC, and their isotopic compositions (δ13C-DIC, δ13C-DOC) are different in the various water resources (surface and ground water) in the catchment and the major source of dissolved carbon in the catchment area is believed to be due to the lithology (limestone and dolomite carbonate rocks) and partly due to the vegetation (plants C3) in the region.
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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 | 0.001 | 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) | 0.000 | 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 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".