Quantifying mantle mixing through configurational entropy

被引:1
|
作者
van der Wiel, Erik [1 ]
Thieulot, Cedric [1 ]
van Hinsbergen, Douwe J. J. [1 ]
机构
[1] Univ Utrecht, Dept Earth Sci, Princetonlaan 8A, NL-3584 CB Utrecht, Netherlands
关键词
DEEP-MANTLE; CONVECTION; HETEROGENEITIES; MODELS; HISTORY; DOMAINS; EVOLUTION; VELOCITY; TIME; VISCOSITY;
D O I
10.5194/se-15-861-2024
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Geodynamic models of mantle convection provide a powerful tool to obtain insights into the structure and composition of the Earth's mantle that resulted from a long history of differentiating and mixing. Comparing such models with geophysical and geochemical observations is challenging, as these datasets often sample entirely different temporal and spatial scales. Here, we explore the use of configurational entropy, based on tracer and compositional distribution on a global and local scale. We show means to calculate configurational entropy in a 2D annulus and find that these calculations may be used to quantitatively compare long-term geodynamic models with each other. The entropy may be used to analyse, with a single measure, the mixed state of the mantle as a whole and may also be useful to compare numerical models with local anomalies in the mantle that may be inferred from seismological or geochemical observations.
引用
收藏
页码:861 / 875
页数:15
相关论文
共 50 条
  • [1] A Probabilistic Description of the Configurational Entropy of Mixing
    Garces, Jorge
    ENTROPY, 2014, 16 (05): : 2850 - 2868
  • [2] Quantifying Disorder through Conditional Entropy: An Application to Fluid Mixing
    Brandani, Giovanni B.
    Schor, Marieke
    MacPhee, Cait E.
    Grubmueller, Helmut
    Zachariae, Ulrich
    Marenduzzo, Davide
    PLOS ONE, 2013, 8 (06):
  • [3] The configurational entropy of mixing of interstitials solid solutions
    Garces, Jorge
    APPLIED PHYSICS LETTERS, 2010, 96 (16)
  • [4] Configurational entropy of basaltic melts in Earth's mantle
    Lee, Sung Keun
    Mosenfelder, Jed L.
    Park, Sun Young
    Lee, A. Chim
    Asimow, Paul D.
    PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2020, 117 (36) : 21938 - 21944
  • [5] Quantifying fluid mixing with the Shannon entropy
    Camesasca, Marco
    Kaufman, Miron
    Manas-Zloczower, Ica
    MACROMOLECULAR THEORY AND SIMULATIONS, 2006, 15 (08) : 595 - 607
  • [6] Towards the Development of a Universal Expression for the Configurational Entropy of Mixing
    Garces, Jorge
    ENTROPY, 2016, 18 (01)
  • [7] Explicit Configurational Entropy of Mixing in Molecular Dynamics Simulations
    Hanke, T.
    Upterworth, A. L.
    Sebastiani, D.
    JOURNAL OF PHYSICAL CHEMISTRY LETTERS, 2024, 15 (45): : 11320 - 11327
  • [8] The Effect of Configurational Entropy of Mixing on the Design and Development of Novel Materials
    Biswas, Krishanu
    Kumar, Nirmal
    PROCEEDINGS OF THE INDIAN NATIONAL SCIENCE ACADEMY, 2020, 86 (03): : 1127 - 1134
  • [9] Quantifying aerosol mixing state with entropy and diversity measures
    Riemer, N.
    West, M.
    ATMOSPHERIC CHEMISTRY AND PHYSICS, 2013, 13 (22) : 11423 - 11439
  • [10] SPATIAL-DISTRIBUTION AND CONFIGURATIONAL ENTROPY OF MIXING FOR THERMODYNAMICS OF POLYMER-SOLUTIONS
    NAKAJIMA, N
    GOTO, J
    JOURNAL OF MACROMOLECULAR SCIENCE-PHYSICS, 1989, B28 (3-4): : 301 - 308