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.     

紫金牛生长土壤微生物和养分特性

研究了自然坡地坡上、坡中和坡下三种不同部位上紫金牛生长土壤的微生物特性和养分特性。结果表明，紫金牛只生长在坡下，紫金牛生长的坡下土壤中细菌比例最高、真菌比例最低，土壤全氮和有机质含量均高于对照的坡中和坡上。