我国铀矿床水文地质分类的探讨

本文总结了近三十年来所取得的各类铀矿床的水文地质勘探资料和部分矿床开采验证的结果。根据铀矿床围岩特征和含水条件,归纳出坚硬裂隙岩层、半坚硬孔隙岩层、岩溶和赋存温热水岩层四种含水特点。总结出了引起矿床充水的三个主要因素,即矿体与当地侵蚀基准面的相对位置、地表水体(主要是河流)的影响程度和地质构造发育程度及形态特征。在此基础上,将矿床水文地员条件共分为十六种不同情况,得出一个比较简单、直观的分类表,进一步划分出水文地质条件简单、中等、复杂和极复杂四种类型,并作了简要阐述,列举了典型矿床实例。最后得出铀矿床水文地质条件多数不复杂,而复杂和极复杂类型仅占矿床总数的20％,河水、岩溶和温热水是造成矿床水文地质条件复杂的三个主要因素等结论。     

Use of rock classification to estimate roof caving span in oblong workings

Summary Indian coal measures have widely varying caving characteristics. The maximum roof span of a longwall or depillaring panel at the time of nether roof collapse is shown to have a direct relation withRQD from a study of 12 case histories. A similar relation between maximum unsupported span of openings and rock mass quality as defined by theQ-system was also demonstrated. A simple nomogram is presented to predict the face advance required to cause roof collapse when theRQD or rock mass quality is known.     

区域河流水质的模糊聚类分析

水作为地表物质迁移的一种溶剂与媒介,尤如人体的“血液”一样,穿行于岩石、土壤与各种生物体之间。一个特定区域范围内的河流水质,不仅受自然因素的控制,而且也受人类社会经济活动的影响。因此,一个区域河流水质的变化过程,就是该区域自然环境特     

膨胀土判别与分类的人工神经网络方法

提出了运用神经网络理论对膨胀土进行判别与分类的方法。通过对安康膨胀土的实测数据分析，建立了研究膨胀土判别与分类的计算机智能专家系统。结果表明，用人工神经网络方法对膨胀土进行判别与分类的准确率很高，它无需在判别因子与预测目标之间建立基于某种理论的经验统计关系，该方法具有重要的实用价值。     

我国现行抗震设计规范中场地评定方法的比较和评述

目前，我国抗震设计规范中采用的场地评定方法主要有两种：一是建筑抗震设计规范（ＧＢＪ１１－８９）采用的场地分类的方法，一是构筑物抗震设计规范（ＧＢ５０１９１－９３）和电力设施抗震设计规范采用的场地指数法。前者是把场地影响按照场地分类指标划分成若干场地类别，因此，确定的地震荷载是不连续的，跳跃变化的。后者是一种以模糊推论的综合评判方法导出的场地指数为指标进行连续评定的新方法，在这种方法里，场地性质的差     

锡矿体变化特征及其勘探意义

本文通过勘探变量的统计得分法以及聚类和特征分析法,将矿体变化性按成因分为四类.按不同的取样观测方法,将矿体变化性分为群体的、单体的和局部的三类,并以实例说明上述分类在矿体预测和勘探中的实际应用.     

要重视指示性云的观测及编码

以一些易被忽略、简化的指示性云状及编码为依据，论述云天演变，对于观测、记录及编码具有重要意义。     

国内生态环境遥感监测的内容与方法探讨

在总结大量实际工作的基础上,就区域生态环境遥感监测的指标与分类系统问题进行了探讨,提出了尽可能与现有的土地利用分类衔接,又较容易进行遥感判读和分类的土地利用分类系统;根据目前国内遥感数据获取和使用情况提出了遥感影像选择、处理以及合成的最佳方案,推荐了通过目视判读和自动分类获得土地利用状况的方法等,以期生态环境遥感监测能真正纳入环保部门常规的监测工作中.     

Application of horizontal-to-vertical (H/V) Fourier spectral ratio for analysis of site effect on rock (NEHRP-class B) sites in Taiwan

The frequency-dependent amplification for rock (NEHRP-class B) sites was studied using earthquake ground-motion database collected in Taiwan during implementation of the Taiwan Strong Motion Instrumentation Program. The database used includes several hundred records from earthquakes of M_L 4.0–7.3 occurred between 1993 and 2004. The characteristics of amplification were evaluated using the well-known technique of horizontal-to-vertical Fourier spectral ratio (H/V) of the S-wave phase [Lermo J, Chavez-Garcia FJ. Site effect evaluation using spectral ratios with only one station. Bull Seism Soc Am 1993;83:1574–94]. The study allows us to analyze peculiarities of rock sites amplification in Northern and Eastern Taiwan. It was suggested to divide the NEHRP-class B site amplification into four types based on frequency of maximum amplification and the shape of amplification function. The applicability of the technique was also checked for a few stiff and soft soil sites (NEHRP-classes D and E).     

Geostatistical incorporation of spatial coordinates into supervised classification of hyperspectral data

 This paper presents a methodology to incorporate both hyperspectral properties and spatial coordinates of pixels in maximum likelihood classification. Indicator kriging of ground data is used to estimate, for each pixel, the prior probabilities of occurrence of classes which are then combined with spectral-based probabilities within a Bayesian framework. In the case study (mapping of in-stream habitats), accounting for spatial coordinates increases the overall producer's accuracy from 85.8% to 93.8%, while the Kappa statistic rises from 0.74 to 0.88. Best results are obtained using only indicator kriging-based probabilities, with a stunning overall accuracy of 97.2%. Significant improvements are observed for environmentally important units, such as pools (Kappa: 0.17 to 0.74) and eddy drop zones (Kappa: 0.65 to 0.87). The lack of benefit of using hyperspectral information in the present study can be explained by the dense network of ground observations and the high spatial continuity of field classification which might be spurious. Received: 12 April 2001 / Accepted: 7 September 2001