车贝雪夫多项式的约简算法

解释了文献「１」中关于化整后的车贝雪夫多项式约简处理的技术原理,给出了一种可快速实现多项式约简处理的求算方法。     

青藏高原东边缘山区极值风速推算方法的研究

利用1971—2001年青藏高原东边缘地区12个气象台站风资料,分析了影响极值风速的主要因子,通过对地形的参数化处理,建立了极值风速随海拔高度和地形参数变化的拟合模型,可推算该地山区的极值风速,并利用山区临时观测资料对拟合模型进行了检验。结果表明,利用引入地形参数所建立的极值风速拟合模型来推算山区极值风速具有一定的可行性。     

岩体质量分级的风险分析方法

提出了基于RMR岩体质量分级系统的岩体质量研究风险分析方法。该方法分析步骤如下 :(1)通过岩芯样品的现场观测和实验室试验获得分类所需的变量 ;(2 )统计分析拟合得出各变量的分布函数及参数 ;(3)运用Monte Carlo模拟方法获得 2万个RMR值 ,并将结果绘成岩体质量描述图 ;(4)利用以上结果作出岩体质量风险分析评价。该方法用于润扬长江公路大桥岩体质量评价研究获得良好效果     

矿床成矿系列——五论矿床的成矿系列问题

矿床的成矿系列(简称成矿系列)是矿床学领域的一个理论性概念,由五级序次组成。矿床成矿系列是成矿系列的第二序次,是成矿系列的核心部分。矿床成矿系列的划分,以岩浆、沉积、变质、表生和流体(非岩浆-非变质成因流体)5种成矿作用为基本原则,以成矿地质环境为基础,结合成矿的时段与形成的矿床组合进行划分。本文对矿床成矿系列时空范围、时空组成结构、矿化强度与演化、成矿区带内不同矿床成矿系列之间的演化、叠加和复合作用及对指导找矿的意义进行了论述。     

基于面向对象分类的稀土开采区遥感信息提取方法研究

离子吸附型稀土矿是我国宝贵的矿产资源,运用遥感影像分类技术提取稀土开采区可以准确地实现对稀土开采状况的监测,但仅利用光谱信息往往难以保证分类精度。本文以江西寻乌稀土矿区为研究区,以IKONOS影像为数据源,应用面向对象分类方法提取了稀土开采区的遥感信息。针对稀土开采区的分布特点,选择基于边缘的分割算法进行影像分割;结合地形信息、光谱信息及几何信息建立规则集,进行特征提取;最后采用隶属度函数法实现面向对象分类,并与传统的光谱角填图分类进行对比分析。研究结果表明,面向对象分类法提取稀土开采区的总体精度为92.49%,Kappa系数为0.857 6,与传统监督分类方法相比有了很大的提高。     

Current-induced scour beneath initially elevated subsea pipelines

When a subsea pipeline is laid on an uneven seabed, certain sections may have an initial elevation with respect to the far-field seabed, e_o, and thus potentially affecting the on-bottom stability of the pipeline. This paper focuses on quantifying the effects of the upstream dimensionless seabed shear stress, θ_∞, and Reynolds number, Re, on: (1) the maximum dimensionless seabed shear stress beneath the pipe, θ_max, to be compared to the critical shear stress in order to determine whether scour would occur and progress towards an equilibrium state; and, (2) the dimensionless equilibrium scour depth beneath the pipe, S_eq/D. Using a 2-D Reynolds averaged Navier-Stokes (RANS) approach along with the k-ω Shear Stress Transport (SST) turbulence model, a parametric study involving 243 computational fluid dynamics (CFD) simulations was conducted. The simulation results were used to develop a closed-form equation for the prediction of θ_max. Subsequently, experimental measurements of S_eq/D have been compiled from published literature, to develop a new closed-form equation for the prediction of S_eq/D with a high correlation to the experimental data. In summary, we present two closed-form equations for the prediction of θ_max and S_eq/D for pipelines with an initial e_o/D, which are applicable for both clear-water and live-bed conditions. The effects of θ_∞ and Re have been included, albeit Re having a small influence as compared to the other parameters.     

Extending self-organizing maps for supervised classification of remotely sensed data

An extended self-organizing map for supervised classification is proposed in this paper. Unlike other traditional SOMs, the model has an input layer, a Kohonen layer, and an output layer. The number of neurons in the input layer depends on the dimensionality of input patterns. The number of neurons in the output layer equals the number of the desired classes. The number of neurons in the Kohonen layer may be a few to several thousands, which depends on the complexity of classification problems and the classification precision. Each training sample is expressed by a pair of vectors ： an input vector and a class codebook vector. When a training sample is input into the model, Kohonen＇s competitive learning rule is applied to selecting the winning neuron from the Kohouen layer and the weight coefficients connecting all the neurons in the input layer with both the winning neuron and its neighbors in the Kohonen layer are modified to be closer to the input vector, and those connecting all the neurons around the winning neuron within a certain diameter in the Kohonen layer with all the neurons in the output layer are adjusted to be closer to the class codebook vector. If the number of training sam- ples is sufficiently large and the learning epochs iterate enough times, the model will be able to serve as a supervised classifier. The model has been tentatively applied to the supervised classification of multispectral remotely sensed data. The author compared the performances of the extended SOM and BPN in remotely sensed data classification. The investigation manifests that the extended SOM is feasible for supervised classification.     

东山ZK51孔第四纪地层划分与闽南沿海部分地区地层划分对比

福建沿海全新世地层 ,主要分布在沿海地区 级阶地上。裸露地表一般为晚全新世沉积、洪积、冲积、冲洪积层 ;中、早全新世地层多被晚全新世地层覆盖 ,很少裸露地表。根据东山 ZK51孔揭穿的全新世地层中鉴定的微体古生物、孢子花粉、14 C同位素年龄测试结果 ,结合宏观资料进行分析对比 ,将全新世地层划为晚、中、早全新世。晚、中全新世地层的分界经 14 C同位素年龄测试 ,距今 2 56 0± 90 a;中、早全新世地层分界经 14 C同位素年龄测试 ,距今 896 0± 2 4 0 a。这些测试结果 ,与目前国内外对全新世地层划分十分接近。进将中、早全新世地层均划分为 a、b两段。中全新世地层以小泡虫、泡抱球虫组合和喜暖的底有孔虫组合为特征 ,而且经 14 C同位素年龄测试 ,距今 4 310± 110 a,前者为 Q2 ah 、后者为 Q2 bh ;早全新世以冷水面颊虫组合和小泡虫组合为特征 ,将前者划为 Q1ah ,后者划为 Q1bh 。可与欧洲前北方期、北方期和大西洋期、亚北方期进行对比。     

云南个旧南部地区元素地球化学特征

在野外调研和大量样品采集分析的基础上， 运用数学地质中对应分析和因子分析两种方法对样品和变量进行分类划分和成因解释。首先，将样品和元素进行综合计算，按第一、二因子轴作出样品－元素因子平面图，在图上划分四个象限，按象限进行分类，探讨其样品－元素分类规律。其次，按象限计算因子载荷矩阵，分析各因子轴所代表的元素共生组成规律和成矿期次。根据上述研究认为第一因子轴（F1）所代表的Sn、Cu、Pb、Cu、Zn、Au、Ag等元素为主成矿元素组合和主成矿期次，而其它因子轴所代表的Mo、W、Bi、Be等元素为次成矿元素组合和次成矿期次。成矿作用是在区域构造应力驱动力的作用下，与花岗岩侵入有关。成矿溶液除来自深源以外，还与周围基性岩体（脉）和围岩密切相关，矿液实质是一种混合矿浆，在上升运移过程中，充填在有利的构造部位和有利 的地层层位中形成矿体。     

Statistical estimation of a shock center: Slate Islands astrobleme

Statistical models are proposed for the distribution of directions in three dimensions that are thought to point toward a single source. These models are based on the Fisher distribution. The method of maximum likelihood is used to obtain an estimate of position of the source and to provide corre-sponding confidence regions. When applied to shatter cone data from the Slate Islands, northern Lake Superior, the method yields estimates comparable with those obtained by Stesky and Halls (1982), as well as statistically valid confidence regions.