Spatio-temporal variability in slab temperature within dynamic 3-D subduction models

被引:1
|
作者
Turino, Valeria [1 ,2 ]
Holt, Adam F. [1 ,2 ]
机构
[1] Univ Miami, Dept Marine Geosci, Coral Gables, FL 33149 USA
[2] Univ Miami, Rosenstiel Sch Marine Atmospher & Earth Sci, Coral Gables, FL USA
基金
美国国家科学基金会;
关键词
Numerical modelling; Continental margins: convergent; Dynamics of lithosphere and mantle; Subduction zone processes; PRESSURE METAMORPHIC ROCKS; THERMAL STRUCTURE; FRANCISCAN-COMPLEX; TRENCH MIGRATION; PLATE INTERFACE; MANTLE FLOW; HEAT-FLOW; EVOLUTION; ZONES; DEPTH;
D O I
10.1093/gji/ggad489
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
Spatio-temporal variability in arc geochemistry and the conditions recorded by exhumed rocks suggest subduction zone thermal structure evolves in time and along-strike. Although much effort has been dedicated to studying subduction zone thermal structure, we lack an understanding of spatio-temporal temperature variability during time-dependent subduction. We model 3-D, dynamic subduction and examine the time evolution of the along-strike temperature difference of the slab's upper surface ('slab-top') at the centre relative to the edge of the subduction zone. We examine this slab-top temperature variability for subduction systems of different widths and with different plate mobilities (i.e. fixed versus free subducting and overriding plates). In all of our models, the main control on slab-top temperature is convergence rate; either by simply controlling the rate of slab sinking or via the effect it has on the decoupling depth (DD). In the early stages of subduction, more rapid convergence at the plate centre produces a cooler slab relative to warmer slab edges. For mature subduction, this flips; a shallower DD at the slab centre produces warmer temperatures with respect to the edge. Importantly, our maximum along-strike temperature changes are reduced (<= 50(degrees)C) relative to previous kinematically driven modelling studies, due to a reduced role for slab-top heating via toroidal flow. Our dynamic subduction models, therefore, point towards a strong time dependence in the sense of along-strike temperature variation, but with relatively low absolute values in geometrically simple subduction zones.
引用
收藏
页码:1484 / 1498
页数:15
相关论文
共 50 条
  • [1] Control of the 3-D spatio-temporal distribution of air temperature
    Van Brecht, A
    Quanten, S
    Zerihundesta, T
    Van Buggenhout, S
    Berckmans, D
    INTERNATIONAL JOURNAL OF CONTROL, 2005, 78 (02) : 88 - 99
  • [2] Modelling spatio-temporal variability of temperature
    Xiaofeng Cao
    Ostap Okhrin
    Martin Odening
    Matthias Ritter
    Computational Statistics, 2015, 30 : 745 - 766
  • [3] Modelling spatio-temporal variability of temperature
    Cao, Xiaofeng
    Okhrin, Ostap
    Odening, Martin
    Ritter, Matthias
    COMPUTATIONAL STATISTICS, 2015, 30 (03) : 745 - 766
  • [4] Spatio-temporal adaptive 3-D Kalman filter for video
    Kim, J
    Woods, JW
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 1997, 6 (03) : 414 - 424
  • [5] 3-D spatio-temporal structures of biofilms in a water channel
    Chen, Chen
    Hou, Shuyu
    Ren, Dacheng
    Ren, Mingming
    Wang, Qi
    MATHEMATICAL METHODS IN THE APPLIED SCIENCES, 2015, 38 (18) : 4461 - 4478
  • [6] A 3-D spatio-temporal simulation model for wireless channels
    Mohasseb, YZ
    Fitz, MP
    IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2002, 20 (06) : 1193 - 1203
  • [7] Anchor-Based Spatio-Temporal Attention 3-D Convolutional Networks for Dynamic 3-D Point Cloud Sequences
    Wang, Guangming
    Liu, Hanwen
    Chen, Muyao
    Yang, Yehui
    Liu, Zhe
    Wang, Hesheng
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 70
  • [8] Dynamic spatio-temporal models for spatial data
    Hefley, Trevor J.
    Hooten, Mevin B.
    Hanks, Ephraim M.
    Russell, Robin E.
    Walsh, Daniel P.
    SPATIAL STATISTICS, 2017, 20 : 206 - 220
  • [9] Estimation of parameterized spatio-temporal dynamic models
    Xu, Ke
    Wikle, Christopher K.
    JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 2007, 137 (02) : 567 - 588
  • [10] Spatio-temporal data model for 3-D spatial process simulation
    Zhang, S.S.
    Zhao, C.H.
    Xinan Jiaotong Daxue Xuebao/Journal of Southwest Jiaotong University, 2001, 36 (05):