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岩溶裂隙网络的识别与重构,一直是岩溶地下水资源和岩溶区地质环境保护研究的热点与难点。基于地表原始裂隙数据、经过克里格插值后的地表裂隙数据、以及通过蒙特卡洛预测得到的地下裂隙数据,本文针对三维裂隙构造中的水流通路识别模块,提出了一种基于圆盘模型的渗流路径构建方法,采用有向图的数据结构来模拟圆盘模型概化后水流沿裂隙的渗流路径,并以邻接矩阵的形式存储其渗流路径数据。同时,为满足大规模裂隙数据快速求交的需要,本文给出了三维R树索引算法缩减遍历各个采样点所用的时间,提高了整套算法运行的效率。最后,以北京市房山区张坊地区地表采样裂隙数据为基础,借助遥感地质调查、重点岩溶区精细地质测量及取样分析等手段,开展三维裂隙空间网络分布模型研究,对岩溶裂隙渗流路径构建算法进行计算机仿真实现,为张坊地区岩溶发育机理的研究及岩溶水裂隙数值模拟提供可视化的分析手段。
Identification and reconstruction of karst fracture network has been a hot and difficult point in the study of karst groundwater resources and karst geological environment protection. Based on the data of the original surface fissure, the data of surface fissures after Kriging interpolation and the data of underground fissures predicted by Monte Carlo, aiming at the water passage recognition module in 3D fractured structures, a disk model based The seepage path construction method uses the data structure of the directed graph to simulate the percolation path of the water flow along the fracture after the generalization of the disk model and stores the seepage path data in the form of the adjacency matrix. At the same time, in order to meet the need of fast intersection of large-scale fracture data, this paper presents a three-dimensional R-tree indexing algorithm to reduce the time spent traversing each sample point and improve the efficiency of the whole algorithm. Finally, based on the data of surface sampling fissures in Fangfang area, Fangshan district, Beijing, with the aid of remote sensing geological survey, fine geologic survey and sample analysis of key karst areas, the paper studies the distribution model of three-dimensional fissure space network, Computer simulation is carried out to provide a visual analysis method for the study of karst development mechanism and numerical simulation of karst water fissure in Zhangfang area.