Lowermost mantle thermal conductivity constrained from experimental data and tomographic models

被引:15
作者
Deschamps, Frederic [1 ]
Hsieh, Wen-Pin [1 ,2 ]
机构
[1] Acad Sinica, Inst Earth Sci, 128 Acad Rd Sec 2, Taipei 11529, Taiwan
[2] Natl Taiwan Univ, Dept Geosci, Taipei 10617, Taiwan
关键词
Composition and structure of the mantle; High-pressure behaviour; Heat flow; Mantle processes; ELECTRICAL-CONDUCTIVITY; SEISMIC VELOCITIES; POST-PEROVSKITE; MAGNETIC-FIELD; EARTHS; CONVECTION; TIME; TEMPERATURE; OLIVINE; DENSITY;
D O I
10.1093/gji/ggz231
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
Heat transfer through Earth's mantle is sensitive to mantle thermal conductivity and its variations. Thermal conductivities of lower mantle minerals, bridgmanite (Bm) and ferropericlase (Fp), depend on pressure, temperature, and composition. Because temperature and composition are expected to strongly vary in the deep mantle, thermal conductivity may also vary laterally. Here, we compile self-consistent data on lattice thermal conductivities of Bm and Fp at high pressure to model lower mantle thermal conductivity and map its possible lateral variations. Importantly, our data set allows us to quantify the influence of iron content on mantle conductivity. At the bottom of the mantle, the thermal conductivity for a pyrolitic mantle calculated along an adiabat with potential temperature 2000 K is equal 8.6 W m(-1) K-1. Using 3-D thermochemical models from probabilistic tomography, which include variations in temperature, iron content, and bridgmanite fraction, we then calculate possible maps of conductivity anomalies at the bottom of the mantle. In regions known as low shear-wave velocity provinces, thermal conductivity is reduced by up to 26 per cent compared to average mantle, which may impact mantle dynamics in these regions. A simple analysis of threshold and saturation effects related to the iron content shows that our estimates of thermal conductivity may be considered as upper bounds. Quantifying these effects more precisely however requires additional mineral physics measurements. Finally, we estimate variations in core-mantle boundary heat flux, and find that that these variations are dominated by lateral temperature anomalies and are only partly affected by changes in thermal conductivity.
引用
收藏
页码:S115 / S136
页数:22
相关论文
共 50 条
  • [31] Snow thermal conductivity and conductive flux in the Central Arctic: Estimates from observations and implications for models
    Sledd, Anne
    Shupe, Matthew D.
    Solomon, Amy
    Cox, Christopher J.
    Perovich, Donald
    Lei, Ruibo
    ELEMENTA-SCIENCE OF THE ANTHROPOCENE, 2024, 12 (01):
  • [32] Electrical conductivity in the lower mantle: Constraints from CHAMP satellite data by time-domain EM induction modelling
    Velimsky, Jakub
    PHYSICS OF THE EARTH AND PLANETARY INTERIORS, 2010, 180 (3-4) : 111 - 117
  • [33] Thermophysical properties of diorites along with the prediction of thermal conductivity from porosity and density data
    Gul, I. H.
    Maqsood, A.
    INTERNATIONAL JOURNAL OF THERMOPHYSICS, 2006, 27 (02) : 614 - 626
  • [34] Thermophysical Properties of Diorites along with the Prediction of Thermal Conductivity from Porosity and Density Data
    I. H. Gul
    A. Maqsood
    International Journal of Thermophysics, 2006, 27 : 614 - 626
  • [35] Lithosphere Destabilization and Small-Scale Convection Constrained From Geophysical Data and Analogical Models
    Adam, C.
    Vidal, V.
    Pandit, B.
    Davaille, A.
    Kempton, P. D.
    GEOCHEMISTRY GEOPHYSICS GEOSYSTEMS, 2021, 22 (03)
  • [36] Constraints on thermal state and composition of the Earth's lower mantle from electromagnetic impedances and seismic data
    Verhoeven, O.
    Mocquet, A.
    Vacher, P.
    Rivoldini, A.
    Menvielle, M.
    Arrial, P. -A.
    Choblet, G.
    Tarits, P.
    Dehant, V.
    Van Hoolst, T.
    JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH, 2009, 114
  • [37] Electrical conductivity of old oceanic mantle in the northwestern Pacific I: 1-D profiles suggesting differences in thermal structure not predictable from a plate cooling model
    Baba, Kiyoshi
    Tada, Noriko
    Matsuno, Tetsuo
    Liang, Pengfei
    Li, Ruibai
    Zhang, Luolei
    Shimizu, Hisayoshi
    Abe, Natsue
    Hirano, Naoto
    Ichiki, Masahiro
    Utada, Hisashi
    EARTH PLANETS AND SPACE, 2017, 69
  • [38] A method for simultaneously determining Earth's magnetic field and mantle conductivity models using MSS-1 and Swarm satellite magnetic data
    Yao, Hongbo
    Xu, Juyuan
    Zhang, Keke
    PHYSICS OF THE EARTH AND PLANETARY INTERIORS, 2025, 358
  • [39] Experimental study evaluating the performance of thermal conductivity prediction models for air-water saturated weathered sandstone heritage
    Hu, Jinshuai
    Huang, Jizhong
    Cheng, Yuan
    HERITAGE SCIENCE, 2024, 12 (01):
  • [40] Thermal Conductivity of Cu-Zn Hybrid Newtonian Nanofluids: Experimental Data and Modeling using Neural Network
    Mechiri, Sandeep Kumar
    Vasu, V.
    Gopal, Venu A.
    Babu, Satish R.
    INTERNATIONAL CONFERENCE ON COMPUTATIONAL HEAT AND MASS TRANSFER (ICCHMT) - 2015, 2015, 127 : 561 - 567