“School of Particles And Accelerator”

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Paper   IPM / Particles And Accelerator / 15629
School of Particles and Accelerator
  Title:   Percolation framework of the Earth's topography
1.  Jingfang Fan
2.  Jun Meng
3.  Abbas Ali Saberi
  Status:   Published
  Journal: Phys. Rev. E
  No.:  022304
  Vol.:  99
  Year:  2019
  Supported by:  IPM
Self-similarity and long-range correlations are the remarkable features of the Earth's surface topography. Here we develop an approach based on percolation theory to study the geometrical features of Earth. Our analysis is based on high-resolution, 1 arc min, ETOPO1 global relief records. We find some evidence for abrupt transitions that occurred during the evolution of the Earth's relief network, indicative of a continental/cluster aggregation. We apply finite-size-scaling analysis based on a coarse-graining procedure to show that the observed transition is most likely discontinuous. Furthermore, we study the percolation on two-dimensional fractional Brownian motion surfaces with Hurst exponent H as a model of long-range correlated topography, which suggests that the long-range correlations may play a key role in the observed discontinuity on Earth. Our framework presented here provides a theoretical model to better understand the geometrical phase transition on Earth, and it also identifies the critical nodes that will be more exposed to global climate change in the Earth's relief network.

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