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Dust Source of Sandstorm in the Tarim Basin, Northwest China

2012· article· en· W1983013276 on OpenAlexaff
Sheng Yu Li, Jia Qiang Lei, Xin Xu, Hai Feng Wang, Gu Feng

Bibliographic record

VenueAdvanced materials research · 2012
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicAeolian processes and effects
Canadian institutionsPetro-Canada
FundersChinese Academy of SciencesNational Natural Science Foundation of China
KeywordsPluvialEnvironmental scienceAlluviumVegetation (pathology)SwampHydrology (agriculture)Alluvial fanGeologyStructural basinEcologyGeomorphologyOceanography

Abstract

fetched live from OpenAlex

Dust supply is important to sandstorm occurrence as well as wind regime. Dust supply is closely related to groundsurface conditions showed by these index soil physical composition, soil moisture, vegetation cover, human activities. The physical conditions of groundsurface in the Tarim basin is distributed in a ringlike pattern. From edge to hinterland, there are various landscapes in turn as follow: mountains, piedmont pluvial and alluvial fans and plains and shifting desert. At the same time, in this turn, different types of soil has been developed there: brown desert soil, ancient oasis cultivated soil (anthropogenic-alluvial soil), swamp soil, desert forest meadow soil, paddy soil, saline soil, takyr soil, shifting sandy soil, and so on. Through comprehensive analysis, some conclusions were drew as the follow: (1)shifting deserts are the major dust source of sandstorm occurred in the hinterland and the south fringe of the Taklimakan Desert; (2)cultivated soils are another dust source of sandstorm occurred in oasis areas disturbed by high-intensity human activities; (3) gobi deserts in upper of piedmont pluvial and alluvial fans and desert forest areas on alluvial plains are the potential dust sources with high dust-emitting ability that can be activiated by human activities.

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)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.080
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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)0.0020.000

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 head0.030
GPT teacher head0.308
Teacher spread0.278 · 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
Published2012
Admission routes1
Has abstractyes

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