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Quantifying geological uncertainty in metamorphic phase equilibria modelling; a Monte Carlo assessment and implications for tectonic interpretations

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Palin, Richard M., Weller, Owen M., Waters, David J., Dyck, Brendan·2016·Geoscience Frontiers

Abstract

Pseudosection modelling is rapidly becoming an essential part of a petrologist's toolkit and often forms the basis of interpreting the tectonothermal evolution of a rock sample, outcrop, or geological region. Of the several factors that can affect the accuracy and precision of such calculated phase diagrams, “geological” uncertainty related to natural petrographic variation at the hand sample- and/or thin section-scale is rarely considered. Such uncertainty influences the sample's bulk composition, which is the primary control on its equilibrium phase relationships and thus the interpreted pressure–temperature (P–T) conditions of formation. Two case study examples—a garnet–cordierite granofels and a garnet–staurolite–kyanite schist—are used to compare the relative importance that geological uncertainty has on bulk compositions determined via (1) X-ray fluorescence (XRF) or (2) point counting techniques. We show that only minor mineralogical variation at the thin-section scale propagates through the phase equilibria modelling procedure and affects the absolute P–T conditions at which key assemblages are stable. Absolute displacements of equilibria can approach ±1 kbar for only a moderate degree of modal proportion uncertainty, thus being essentially similar to the magnitudes reported for analytical uncertainties in conventional thermobarometry. Bulk compositions determined from multiple thin sections of a heterogeneous garnet–staurolite–kyanite schist show a wide range in major-element oxides, owing to notable variation in mineral proportions. Pseudosections constructed for individual point count-derived bulks accurately reproduce this variability on a case-by-case basis, though averaged proportions do not correlate with those calculated at equivalent peak P–T conditions for a whole-rock XRF-derived bulk composition. The main discrepancies relate to varying proportions of matrix phases (primarily mica) relative to porphyroblasts (primarily staurolite and kyanite), indicating that point counting preserves small-scale petrographic features that are otherwise averaged out in XRF analysis of a larger sample. Careful consideration of the size of the equilibration volume, the constituents that comprise the effective bulk composition, and the best technique to employ for its determination based on rock type and petrographic character, offer the best chance to produce trustworthy data from pseudosection analysis.

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  • Forward phase equilibrium modeling has weaknesses, including geological uncertainties (kinetic factors, determination of the reactive bulk composition, compositional variations due to partial melting) and database/software limitations, which are difficult to quantify and may affect the outcome of every phase equilibrium model.

    “However, the forward phase equilibrium modeling approach also has its weaknesses, including both geological uncertainties such as kinetic factors (e.g.,Waters and Lovegrove 2002, Carlson et al. 2015, Pattison and Spear 2018), determination of the reactive bulk composition (e.g.,Palin et al. 2016), and compositional variations due to partial melting (e.g.,Guevara and Caddick 2016); and database-and”

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  • On thermobarometry

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    “3 kbar, which is significantly smaller than the minimum resolvable limit even for comparative studies using conventional thermobarometry (Hodges and McKenna, 1987; Kohn and Spear, 1991; Powell and Holland, 2008).”
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Authors
Palin, R. M., Weller, O. M., Waters, D. J., & Dyck, B.
Affiliations
  • Johannes Gutenberg University Mainz (DE)
  • Geological Survey of Canada (CA)
  • University of Oxford (GB)
Corresponding author
Palin, Richard M.
Venue
Geoscience Frontiers
Publisher
Elsevier BV
Published
2016-07
Volume
7
Issue
4
Pages
591-607
ISSN
1674-9871 (ISSN-L)
OpenAlex
W1785387093
Cited by
352
References
1
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19.02
Type
journal article
Language
en
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  • Geoscience Frontiers (publishedVersion, cc-by-nc-nd)
  • Department of Earth Sciences EPrints Repository (acceptedVersion)
  • Oxford University Research Archive (ORA) (University of Oxford) (submittedVersion, cc-by-nc-nd)
  • Apollo (University of Cambridge) (submittedVersion, cc-by-nc-nd)
  • Apollo
  • 地学前缘:英文版
Funders
NERC (NE/H524781/1)
Topics
  • Physical Sciences › Earth and Planetary Sciences › Geophysics › Geological and Geochemical Analysis
  • Physical Sciences › Earth and Planetary Sciences › Geophysics › High-pressure geophysics and materials
  • Physical Sciences › Earth and Planetary Sciences › Geochemistry and Petrology › Geochemistry and Elemental Analysis
Keywords
geological uncertainty, metamorphic phase equilibria, pseudosections, point counts, pressure-temperature conditions, thermobarometry, porphyroblasts, tectonothermal evolution

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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