姑婆山复式岩体的基本特征及其与成矿作用的关系   总被引：5，自引：0，他引：5  

王建辉  蒋柏昌  孔祥伟  唐奎保 《矿产与地质》2006,20(1):47-53

姑婆山复式岩体由晚侏罗世里松岩体、姑婆山岩体及早白垩世新路岩体组成。复式岩体为壳幔混合源成因。据岩石地球化学判断和分析,姑婆山岩体和新路岩体为含锡岩体;整个姑婆山复式岩体为含钨岩体,里松岩体和姑婆山岩体为含稀有、稀土岩体。上述矿产的形成与岩石中挥发份F、B及放射性U、T h等元素的高含量有关。  相似文献   

南京红层桩基持力层承载力初探     

赵忠岩  董平  刘翔  朱文斌 《水文地质工程地质》2006,33(4):28-30

南京红层岩性复杂，桩基持力层承载力难确定。依据南京某工程勘察资料，建立南京红层泥岩、泥质粉砂岩不同互层情况的地质模型，运用FLAC3D软件分析，并与载荷板试验结果进行对比表明：桩基持力层应选择在厚度大于两倍桩径的泥质粉砂岩地层上，避免放置于泥岩地层；载荷板试验结果偏于保守，设计时可以把这部分作为安全储备。  相似文献   

利用测井数据进行岩性识别的多元统计方法   总被引：1，自引：0，他引：1  

刘秀娟  陈超  曾冲  兰磊 《地质科技情报》2007,26(3):109-112

在中国大陆科学钻探CCSD-1井110～2 000 m井段实测资料的基础上,通过取芯井岩芯和相应测井曲线对应特征的分析,挑选出对岩性识别能力强的测井参数,应用多组判别分析方法,建立了研究区各类岩性的识别模型.应用该模型可对井剖面地层进行连续自动解释,获得整口井的岩性解释剖面图,为进一步的地质研究提供基础资料.最后将得出的结果与分层资料进行误差分析,以判断资料的可靠性和方法的实用性.  相似文献   

新疆西天山艾肯达坂组火山岩的地球化学特征     

姬红星 《物探与化探》2007,31(3):218-220

新疆西天山艾肯达坂组火山岩的岩石学和稀土元素的地球化学等研究证明，本区火山岩由基性火山岩和中性火山岩组成，火山岩均属于钙碱性系列，二者均具有低钾、富钠的特点。这些火山岩的稀土元素配分曲线均属于轻稀土富集型，明显地表现为轻稀土元素配分曲线陡倾，而重稀土元素配分曲线相对平坦的特征。这些岩石学和地球化学的特征证明本区火山岩形成于裂谷环境。  相似文献   

基于距离变换的提取和识别点状符号的方法   总被引：1，自引：0，他引：1  

陈飞  胡鹏  王秀芳  王坤 《武汉大学学报(信息科学版)》2007,32(12):1172-1175

提出了一种基于距离变换提取和识别点状符号的新方法。首先对分版图的提取结果进行优化处理，然后根据弯曲密度和线划密度等特征，进一步过滤掉不满足点状符号特征的线划。为了更准确地度量图像间的相似性，提出了加权距离函数，并用该函数值为度量标准进行模板匹配以识别符号。该算法较好地解决了字线粘连、背景复杂等情况下的点状符号提取和识别问题，识别准确率较高。  相似文献   

历史纸质气象档案数字化技术策略初步分析          下载免费PDF全文

兰平  臧海佳 《应用气象学报》2006,17(4):478-482

利用安全扫描和光学字符识别技术实现气象档案数字化是对纸质气象历史档案拯救和开发利用的有效途径。该文在对数字化技术进行调研和试验的基础上, 提出了历史纸质气象档案数字化的建设思路, 针对气象档案记录内容的特点, 对OCR (optical character recognition) 手写体数字识别技术应用进行了分析, 提出了气象档案OCR识别的解决策略, 为业界的纸质气象档案数字化建设提供一种技术思路和有效的技术参考。  相似文献   

The Neopleistocene of North European Russia: Stratigraphy,paleogeography, and paleoclimate     

L. N. Andreicheva  T. I. Marchenko-Vagapova 《Stratigraphy and Geological Correlation》2007,15(4):421-436

The Pleistocene sediments of North European Russia have been studied using different methods to establish their composition and identify the enclosed organic remains. The results obtained elucidate natural climatic environments of the Pleistocene and corresponding sedimentation cycles and development stages. Glaciation centers are identified for different Pleistocene epochs based on lithological criteria. The established secular trends characterizing spatial distribution and composition of different-age glacial horizons facilitate their regional correlation. Climatic conditions and paleogeographic settings of sedimentation during interglacial epochs of the middle-late Pleistocene and Holocene are reconstructed. Variations in development of vegetation, temperature, and humidity are detected for the first time in the Timan-Pechora-Vychegda, Arkhangel’sk and Vologda regions with parallel coordination of obtained data. As is concluded, there was a tendency of climate cooling in North European Russia during the Neopleistocene.  相似文献   

磁化率和密度对中国大陆科学钻探主孔100～2000 m岩石类型的判别   总被引：2，自引：2，他引：2  

徐海军  金振民  欧新功 《地球科学》2006,31(4):513-519

为查明磁化率和密度对于中国大陆科学钻探工程(CCSD)主孔100~2000m岩性的响应和判别特征,利用SPSS10.0统计分析软件进行了判别分析.研究结果显示,岩石的密度和体积磁化率主要受岩性的控制.采用迫入法建立全模型,对CCSD主孔100~2000m井段岩心的岩性判别率达84.8%.其中,蛇纹石化橄榄岩、正片麻岩、副片麻岩、榴辉岩、角闪岩和退变质榴辉岩的判别率分别为100%、87.1%、89.7%、89.6%、96.7%和63.7%.该研究表明,密度和磁化率可以为超高压变质岩石的岩性鉴别和区分提供定量约束,有利于地球物理探测成果和测井资料的准确解析.同时,本文也是SPSS统计分析软件在超高压变质岩石类型判别方面的一个应用实例,对于其他岩石类型的判别分析具有借鉴意义.  相似文献   

包尔图地区Aster遥感岩性提取     

王钦军  蔺启忠 《地理与地理信息科学》2006,22(2):9-12

介绍光谱排序编码法的原理并对其进行精度验证:在14种矿物的56个样品中最高精度为100%,最低为57%,平均为79.4%;分别提取包尔图地区以方解石、Al-OH Mg-OH和石英为主的岩石分布状况,与该区地质图对比结果表明,其分布与实际情况大体相同,从而证实了光谱排序编码法的目标提取能力。  相似文献   

Supervised neural network recognition of habitat zones of rice invertebrates     

WenJun Zhang 《Stochastic Environmental Research and Risk Assessment (SERRA)》2007,21(6):729-735

This study aimed to evaluate effectiveness and performance of several supervised neural network models and make pattern recognition on invertebrate habitat zones. Probabilistic, general regression, and linear neural networks, and discriminant analysis were used to recognize both known and unknown invertebrate habitat zones. The results showed that neural network models were better than traditional discriminant analysis in the recognition of known habitat zones. There was not distinctive variation in recognition from different neural network models. Sensitivity analysis indicated that the learning rate of the neural network would influence recognized results. An unknown invertebrate species from Lepidoptera was recognized to be soil-dweller (dryland) by both neural network models and discriminant analysis. In sensitivity analysis it was additionally recognized to be the type of plant canopy (terrestrial). Overall the species was estimated to be a soil-dweller (dryland) or live on plant canopy (terrestrial). It was concluded that neural network models can perform better than conventional statistic models in pattern recognition, but a comprehensive comparison among various models is necessary in order to achieve a high reliable recognition and prediction. Furthermore, sensitivity analysis can lead to an in-depth grasp on the mechanism in the recognition and is thus needed.  相似文献