<i>p</i>CO<sub>2</sub> and CO<sub>2</sub> fluxes of the metropolitan river network in relation to the urbanization of Chongqing, China
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Most rivers of the world are supersaturated with carbon dioxide (CO 2 ), resulting in a large gas flux that has only recently been included in global carbon budgeting. However, little is known about CO 2 emissions from urban river networks suffering anthropogenic disturbance in the context of global urbanization. We surveyed the partial pressure of carbon dioxide ( p CO 2 ) and CO 2 flux from 84 locations in the Chongqing metropolitan river network, with an area of 5494 km 2 . The overall mean p CO 2 and CO 2 fluxes were 2152 µatm and 163.0 mol C m −2 yr −1 , respectively, with 318.9 mol C m −2 yr −1 from rivers in the completely urban area and 49.6 mol C m −2 yr −1 from the least urbanized area. The riverine p CO 2 level increased with the proportion of urban land, with 2–4 times higher CO 2 flux in the urban areas than the remote rural ones. Sites with low flow velocity, narrow channel, and factitious bottom sediment appeared to be local hot spots of CO 2 emission. The p CO 2 and CO 2 degassing was positively correlated with the nutrients content of surface water (i.e., nitrogen and phosphorus). Carbon was released to the atmosphere as CO 2 from Chongqing metropolitan river network at a rate of 12.3 × 10 9 mol C yr −1 . p CO 2 exhibited a clear seasonality with lower values in March 2015 and June 2015 but a higher value in September 2014, which was coregulated by temperature, flood dilution, and in situ photosynthesis. The results highlight that rapid urbanization, with increasing nutrients loading and anthropogenic activities, will alter the carbon biogeochemical cycle in the terrestrial‐aqueous‐atmospheric ecosystem and then impact global CO 2 budgets.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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