A Connectivity Index for Discrete Fracture Networks

Connectivity is an important measure for assessing flow transport in rock, especially through fractures. In this paper, rock fracture systems are modelled by a discrete fracture model simulated by a marked point process. A connectivity index is then introduced to quantify the connectivity between any two points in space. Monte Carlo simulation is used to evaluate the connectivity index for stationary cases and relationships between the connectivity index and the parameters of the discrete fracture model are analysed. The average number of intersections per fracture, X_f, and the fracture intensity, P12 (P32), are calculated and the relationships between these parameters and the connectivity index are investigated, concluding that X_f is the more suitable parameter for the classification of rock mass flow properties. The relationships between the connectivity index and the percolation state of the fractured medium are also discussed. An edge correction is briefly discussed and a practical example is used to demonstrate the method of computing the connectivity index.     

基于Poisson过程分析的景区旅游承载力管理对策研究

旅游承载力是研究旅游地可持续发展的关键因素,但目前该理论的研究处于难以运用到实践的困境,核心问题就是缺乏可操作性。通过引入Poisson过程分析旅游者在景区的时空活动规律,可为景区管理提供有力的证据和科学的参考,便于景区根据旅游承载力管理景区的各项工作。