Assessment of Nitrogen Pollution Load Potential for Groundwater by Mass Balance in the Tedori River Alluvial Fan Areas, Japan
Bibliographic record
Abstract
To assess the nitrogen pollution load potential (NPLP) of groundwater, mass balance over a recent five-year period (2006–2010) was analyzed within the Tedori River alluvial fan area, Ishikawa Prefecture, Japan. All components of the hydrologic cycle in polluted regions of the study area were analyzed based on water and nitrogen balance. The water balance model was based on the exchange of river water between the channel/soil surface and the aquifer horizon fractions. The water balance calculation was conducted by considering precipitation, evapotranspiration, direct runoff, and infiltration in the channel/soil horizon (Figure 2). In addition, infiltration from paddy and other land uses, recharge and effluent from the Tedori River and pumping from the wells in the aquifer horizon were considered. Based on the water balance analysis, nitrogen balance analysis was conducted. The results revealed that the nitrogen input was 1,214.2 ton/year, while nitrogen output was 959.4 ton/year. Therefore, 254.6 ton/year accumulated within the study area. In the aquifer horizon, the amount of nitrogen deposited was found to be 232.9 ton/year. The total nitrogen concentration of water samples collected from a well with a depth of 50 m was about 1.0 mg/L, which was greater than that observed for the well of 150 m depth (about 0.25 mg/L). These findings indicate that contaminating nitrogen gradually percolates into the deeper zone. The most dominant nitrogen pollutant for the study area originated from farmland (30.5%) and second is intake water (24.2%) and third is precipitation (23.8%). These three items occupied 78.5% of total pollutant.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".