Topological and dynamic complexity of rock masses based on GIS and complex networks
Topological and dynamic complexity of rock masses based on GIS and complex networks
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基于GIS和复杂网络的岩体拓扑和动力复杂性
DOI：
10.1016/j.physa.2018.08.103
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发表时间：
2018
期刊：
影响因子：
--
通讯作者：
Tang Min
中科院分区：
文献类型：
--
作者：
Liu Gang;He Jing;Li Ru;Li Weile;Gao Peichao;Lu Jiayan;Long Wen;Li Lian;Tang Min
岩石圈是由大量的岩石组成的。地壳运动可引起岩体破裂，激发巨大能量。岩体之间的相互作用可能会影响深部地质过程，特别是地震。从复杂网络和地理信息科学(GIS)的角度出发，研究了岩体的空间分布，提出了一种挖掘岩体拓扑和功能特征的网络分析方法。实验使用的是四川省和重庆市的地质调查数据。结果表明，在不考虑岩体类型和强度的情况下，岩体网络度分布服从幂分布；对于9种类型、5种强度等级的岩体，其拓扑关系均服从幂函数分布。此外，不同岩石类型和强度的幂指数有很大差异，这可能会影响岩体之间的相互作用。
Lithosphere is composed of a great number of rock masses. Crustal movement may cause the fracture of rock masses and stimulate tremendous energy. The interaction between rock masses may affect deep geological processes, especially earthquakes. This paper studies the spatial distribution of rock masses and proposes a network analysis method for mining the topological and functional characteristics of rock masses from complex networks and geographical information science (GIS) perspectives. Geological survey data covering Sichuan Province and Chongqing Municipality is used for experiments. Results show that if we do not consider the rock type or strength, the degree distribution of rock mass network satisfies power-law distribution; for nine types of rock masses and five levels of strengths, their topological relationships all follow power-law distributions. Moreover, the power-law exponents are greatly different for different rock types and strengths that may affect the interactions between rock masses.