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Record W2384725507

A Study of Water Chemistry and Aerosol at the Headwaters of the rümqi River in the Tianshan Mountains

2002· article· en· W2384725507 on OpenAlexaff
Junying Sun

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicSmart Materials for Construction
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsAerosolSnowPrecipitationSurface runoffChemistryGlacierAmmoniumBicarbonateAmmonium bicarbonateEnvironmental chemistryHydrology (agriculture)GeologyMeteorologyGeomorphology
DOInot available

Abstract

fetched live from OpenAlex

Aerosol, precipitation, snow and runoff samples were collected from the headwaters of the urumqi River from May to June 1996. The measurement of major anions and cations (Cl - , NO\+- 3, SO\+\{2-\} 4, Ca 2+ , Mg 2+ , Na + , K + , NH\++ 4), and pH has been made for these samples, except that ammonium has not been done for precipitation samples. pH measurements show that snow and precipitation samples are near to neutral while runoff samples are slightly alkaline. It is found that the sum of measured cations is 2 to 8 fold of measured anions in equivalent unit for aerosol, precipitation, snow and runoff samples. The fact that the measured cations in aerosol exceed the measured anions also suggests that the atmosphere is alkaline over the glacier. According to the previous studies over this area, the missing anion is assumed to be bicarbonate. Thus, bicarbonate and calcium are the dominant anion and cation, respectively, for aerosol, precipitation, snow and runoff samples in this area. The total ionic concentration in various waters is in the order: runoff below the Glacier No. 1runoff at the control pointrunoff below the ice free cirqueprecipitationsnow. However, the order of the concentration for different ions is not the same for these waters and aerosol, e.g., Ca 2+ Mg 2+ Na + K + NH\++ 4 for snow and runoff samples, Ca 2+ Na + Mg 2+ K + for aerosol and precipitation samples, while HCO\+- 3SO\+\{2-\} 4 Cl - NO\+- 3 for aerosol, precipitation, runoff below the Glacier No. 1 and at the control point, HCO\+- 3Cl - SO\+\{2-\} 4NO\+- 3 for snow and below the ice free cirque. Through the comparison of ionic concentration in different waters, the effect of some processes, such as wet deposition, dry deposition, preferential elution etc, on the certain ionic concentration in the waters is revealed. For example, preferential elution results in lower concentration of SO\+\{2-\} 4 and NO\+- 3 and dry deposition enhances concentration of Mg 2+ , Ca 2+ and K + in snow.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.190
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.010
GPT teacher head0.190
Teacher spread0.180 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2002
Admission routes1
Has abstractyes

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