Space-time interaction amongst clusters of mining induced seismicity

Elementary cluster analysis of induced seismicity in a South African gold mine has shown that there is a clear interaction amongst the clusters; and that the level of the interaction is a function of the distance. The clusering algorithm used is an adaptation of the single-link cluster analysis which considers both three-dimensional space and time. A high level of interaction between the clusters is demonstrated from the cross-correlation analysis of seismic activity rates and radiated energy. A distinct decrease in the value of correlation coefficients was detectable as distance increased. This was somewhat surprising, considering the simplicity of the technique used. Since no attempt is made to study the physical mechanisms of interaction, these results are very preliminary, but interesting from an observational point of view.     

Multifractal modeling and spatial point processes

The multifractal model can be applied to spatial point processes. It provides new, approximately power-law type, expressions for their second-order intensity and K (r) functions. The box-counting and cluster dimensions are different but mutually interrelated according to multifractal theory. This approach is used to describe the underlying spatial structure of gold mineral occurrences in the Iskut River area, northwestern British Columbia. The box-counting and cluster dimensions for the example are estimated to be 1.335±0.077 and 1.219±0.037, respectively. The relatively strong clustering of the gold deposits is reflected by the fact that both values are considerably less than the corresponding Euclidean dimension (=2).     

An approximate analytical solution for the deposition of heavy particles released from an elevated line source

This work re-examines and further develops an analytical solution for the deposition swath of heavy particles released in the atmosphere from an elevated source over uniform terrain, correcting the particle diffusivity for the crossing trajectory effect. The revised (approximate) analytical solution proves to be accurate within 20% over a wide range of micrometeorological conditions and particle size, despite its neglect of the turbulence component of the deposition flux. It compares very satisfactorily with experimental data and with the simulations of a Lagrangian stochastic model, provided the variable U(H)/w _g ≤7 (ratio of the mean horizontal wind speed at source height to the particle settling velocity). In this domain of validity, simple formulae relating the statistics of the deposition swath to U(H)/w _g are derived.     

灰色聚类法在常州市第Ⅱ承压地下水水质评价中的应用

在灰色聚类方法原理的基础上，探讨了如何通过白化函数生成灰色聚类矩阵，并以常州市第Ⅱ承压地下水为例进行了水质评价，评价结果表明，常州市大部分第Ⅱ承压地下水水质优良，达到了Ⅰ类水，未遭受外来物质的污染，评价结果符合实际情况。     

Road Surface Modeling and Representation from Point Cloud Based on Fuzzy Clustering

A scheme for an automatic road surface modeling from a noisy point cloud is presented. The normal vectors of the point cloud are estimated by distance-weighted fitting of local plane. Then, an automati...     

利用点云检测室内导航元素的方法综述

根据建筑物室内墙壁的空间姿态特征, 建立了一种自动绘制室内平面图的点云向量追踪算法。首先截取一定厚度的室内墙体点云并将其投影至水平面, 在投影平面上建立正方形格网, 对投影后的平面点进行分割管理, 并通过八邻域算法对网格内点云进行聚类。然后采用网格重心法对聚类后的点云数据进行抽稀, 并根据邻域内点间距与连线向量夹角大小对抽稀后的点进行追踪排序, 建立追踪方向的向量序列, 结合向量序列中相邻值夹角的突变情况完成不同墙面的点云分割。最后采用最小二乘算法对分割得到的相同墙面点云进行直线拟合, 求取相邻墙体直线的交点, 建立房屋墙体平面投影线段及其空间连接关系, 依序输出墙体投影线段, 完成房屋平面图的绘制并导出DXF格式数据交换文件。通过对某小区建筑物室内扫描数据的分析, 对所提算法进行验证, 结果表明所提算法可准确快速地对室内三维激光扫描点云进行分析处理, 并完成室内建筑物平面图的绘制。     

地震时空丛集程度的度量及震前异常特征初探

从Ｍｏｒｉｓｈｉｔａ空间丛集度出发，定义出其时间丛集度的表达式，并计算了几次大震前空间丛集度Ｊｓ和时间丛集度Ｊｔ的时间扫描曲线。从计算结果分析，无论是空间丛集度Ｊｓ还是时间丛集度Ｊｔ在大震发生前大都会出现高值异常。将Ｊｓ和Ｊｔ做了对比，从而对Ｍｏｒｉｓｈｉｔａ指数的含义进行了探讨，分析了各自的优缺点。结果表明，Ｊｓ和Ｊｔ可以做为一项地震活动性指标引入到地震预报中来     

优化K means算法在中国近海气候区划中的应用

利用我国近海多年的风、浪及温湿资料,采用DB指标和最大距离法相结合的优化K-means聚类算法,对冬季我国近海进行气候区划,避免了传统K-means算法中确定聚类数目和初始聚类中心的主观性。结果表明,冬季我国近海可被划分为3个区域:1区主要包括28°N以北的海域以及我国东南沿海的一条狭长区域,2区主要包括台湾周边海域、台湾海峡、巴士海峡以及自越南东南部起由西南部向东北部的南海大部分海域,3区则主要包括台湾岛西南部海域、北部湾、广东沿海以及南海东南部。根据给出的区划指标,分析各分区的气候特征及其对海上舰船航行和出海人员的影响,判定1区为基本适宜区,2区为不适宜区,3区为适宜区。     

Using Spatial Statistics to Examine the Pattern of Urban Land Development in Halifax–Dartmouth

This article examines the locational patterns of population and employment and the resultant changes in urban form in the Halifax–Dartmouth region between 1970 and 1996. The article employs the univariate and bivariate K function to measure spatial dependence or clustering within and between the classes of residential and commercial land parcels. The results of the K function estimates suggest that residential land parcels cluster together, commercial land parcels cluster together, and residential and commercial land parcels have become more clustered over time. Evidence of clustering provides insight into the changing urban form of the region and possible multinucleation.