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Record W1527146715 · doi:10.1029/2005gc001081

Sr and<sup>87</sup>Sr/<sup>86</sup>Sr in rivers draining the Deccan Traps (India): Implications to weathering, Sr fluxes, and the marine<sup>87</sup>Sr/<sup>86</sup>Sr record around K/T

2006· article· en· W1527146715 on OpenAlex
Anirban Das, S. Krishnaswami, Anil Kumar

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueGeochemistry Geophysics Geosystems · 2006
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsDeccan TrapsBasaltIsotopes of strontiumGeologyWeatheringGeochemistryStrontiumFlux (metallurgy)TectonicsPaleontologyVolcanismChemistry

Abstract

fetched live from OpenAlex

The concentration of dissolved Sr and its 87 Sr/ 86 Sr has been measured in the headwaters of the Krishna River System and west flowing Western Ghat rivers, all of which have their drainage almost entirely in the Deccan Traps. The Sr concentration follows that of Ca and Mg with Sr/Ca and Sr/Mg ratios similar to that of Deccan basalts, suggesting that all these alkaline earths are released to waters nearly congruently from the Deccan basalts during chemical weathering. The 87 Sr/ 86 Sr range from 0.70614 to 0.70986, within that reported for the Deccan basalts. The dissolved Sr flux from the Deccan calculated from the measured data is ∼1.35 × 10 8 moles yr −1 , ∼0.4% of the global riverine flux, which is nearly the same as the proportion of area covered by Deccan basalts relative to the global drainage. The flux, however, is a factor of ∼3 lower than that reported for the Narmada‐Tapti‐Wainganga (NTW) rivers draining the northern Deccan. This difference in Sr flux among rivers draining the various regions of Deccan could be natural spatial/temporal variations and/or due to supply of Sr to NTW rivers from nonbasaltic sources. Model calculations on the role of emplacement and weathering of Deccan on marine Sr isotope evolution around KTB and late Tertiary show that Deccan basalts can be an important contributor to the decline in 87 Sr/ 86 Sr during these periods. It is shown that to account for the pre‐KTB dip in 87 Sr/ 86 Sr, the flux requirement from Deccan at that time would have to be several times the contemporary flux with 87 Sr/ 86 Sr of 0.705–0.708. Considering that the area of Deccan at KTB was about thrice the present area and that the weathering rate of Deccan basalts may have been much higher in early stages following eruption, such high fluxes at about KTB seem feasible. The disproportionately higher flux requirement for Sr is similar to that invoked to explain the pre‐KTB decrease in 187 Os/ 188 Os. The calculations also show that the supply of unradiogenic Sr from basalts can have significant control on the long‐term, ∼66 to ∼55 Ma, decline of marine 87 Sr/ 86 Sr.

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.

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 categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.475
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.002
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.216
Teacher spread0.206 · 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