洋浦近岸海域污染控制规划方案优化——Ⅰ.排污口位置优选

在洋浦近岸海域计算潮流场基础上,计算预选排污口附近海水质点运动轨迹及预测污染物浓度分布,最后,从环保角度出发,推荐了洋浦地区各开发区的排污口位置,为洋浦近岸海域污染控制规划方案的制定及其优化提供了依据。     

遥感影像特征提取与选择及在影像分类中的应用

利用模式识别中特征提取和特征选择的相关理论对遥感影像的纹理特征进行遴选和变换处理,得到描述纹理的二次特征。实验证明这些新特征能够提高影像分类精度和分类效率。     

GIS空间分析与模糊综合评判在银行ATM网点选址中的应用

空间分析是GIS的核心和灵魂,是GIS区别于一般信息系统的主要标志之一。运用GIS空间分析中的叠置分析、缓冲区分析、网络分析等功能对自动柜员机(ATM)网点进行选址,应用模糊综合评判模型对选址区位评价确定出ATM布放的最终布局,并通过实例验证该方法能为在ATM网点选址中提供决策依据,最后探讨了今后研究的方向。     

北祁连中段浪力克—牛头山一带地球化学特征

近年来,部署在重要成矿区带的1：5万区域矿产调查在全国陆续展开,这对提高地质矿产研究程度,进一步圈定找矿靶区具有重要意义。其中要求进行1：5万水系沉积物测量、高精度地面磁测、自然重砂测量和遥感异常提取。本文以甘青交界的浪力克一牛头山一带1：5万区域矿产调查中水系沉积物测量实际资料为依据,探讨了浪力克铜矿区及其区域地球化学特征,认为Cu、Pb、Zn、Au、Ag异常分布与含铜火山岩系分布一致,异常规模显示该矿外围仍具有较大的找矿潜力。     

GENTOOLS在国家1∶50000数据库更新工程中的应用研究

1∶50000地形数据库更新是一项复杂的地形数据库制作工程。传统的缩编技术工艺与相应的工具难以适应新的生产需要,适应于数字环境下的缩编生产工具的需求则变得非常迫切。GENTOOLS很好地解决了1∶50000数据库更新工程中的诸多难题,采用半自动和手动相结合的方法,大大提高了缩编效率,同时也为地形图缩编提供了一种新的选择。     

基于已知钻孔的场地类别模糊等值线的建立

对照现行《建筑抗震设计规范》（GB50011-2001）场地类别划分方法,应用模糊数学原理,推导了场地类别的模糊二次评价方法,得出了场地类别的模糊向量和模糊特征周期,实现了场地类别划分的连续化;在此基础上,基于收集到的杭州市254个建筑场地波速钻孔实测资料,通过建立场地类别地质模型,实现了场地类别、特征周期的模糊等值线,与实测资料对比,结果表明：由该模糊等值线得出的建筑场地抗震类别与现行《建筑抗震设计规范》给出的场地类别是统一的,模糊特征周期与规范给出的特征周期基本上是吻合的,该模糊等值线对建筑抗震设计具有指导意义。     

辽宁中部早中生代地层及找煤远景评价

辽宁中部一些地区的含煤地层以前被认为是白垩系下统的沙海组、阜新组,该观点导致区域地层对比混乱。通过对该区含煤地层组合特征综合分析,认为其应属下侏罗统北票组含煤岩系。此结论对进一步明确该地区找煤方向、确定找煤远景区具有重要意义。     

Influence of submerged aquatic vegetation on size class distribution of perch (Perca fluviatilis) and roach (Rutilus rutilus) in the littoral zone of Lake Geneva (Switzerland)

The abundance of different size classes of perch and roach in the littoral zone of Lake Geneva was compared between submerged aquatic vegetation and unvegetated zones. Samples were taken with gillnets during four periods between June and October 1993. During the vegetation period (June to September), perch 9 cm and roach 10 cm were more abundant in vegetation whereas roach > 20 cm were more abundant in open water. Perch larger than 18 cm and medium roach were equally distributed in both habitats whatever the period, whereas medium perch distribution fluctuated according to the period. In October, after the decline of the vegetation, no more differences in fish distribution were observed except for small roach, which were always more abundant in the vegetated sites.     

Estimation of statistical parameters for censored lognormal hydraulic conductivity measurements

Field tests of hydraulic conductivity (e.g., injection test, pumping test, etc.) in low permeability formations are subject to censoring due to the detection limit of the instruments used. An iterative method of estimating the mean and variance of hydraulic conductivity data with a presumed log-normal distribution function is presented. This method accounts for the data that are actually below the lower detection limit (called truncated data) and thus gives distribution parameters that are more representative for the underlying distribution. The proposed method is then tested on two simulated normally distributed random datasets having different variances. The results show that the means and variances estimated by the proposed method are very accurate. Finally, the method is used to estimate the mean and variance of hydraulic conductivity data from single hole water injection tests in a fractured geological formation.     

Blind prediction of the site effects at Ashigara Valley,Japan, and its comparison with reality

Weak and strong ground motions were numerically predicted for three stations of the Ashigara Valley test site. The prediction was based on the records from a rock-outcrop station, one weak-motion record from a surface-sediments station, and the standard geotechnical model. The data were provided by the Japanese Working Group on the Effects of Surface Geology as a part of an international experiment. The finite-difference method for SH waves in a 2-D linear viscoelastic medium (a causalQ model) was employed.Comparison with the real records shows that at two stations the predictions fit better than at the third one. Strangely, the two better predictions were for stations situated at larger distances from the reference rock station (one station was on the surface, the other in a borehole). The strong ground motion (the peak acceleration of about 200 cm s^–2) was not predicted qualitatively worse than the weak motion (8 cm s^–2). A less sophisticated second prediction (not submitted during the experiment), in which we did not attempt to fit the available weak-motion record at the sedimentary station, agrees with the reality significantly better.