图形模式识别方法及其在中期雪灾天气预报中的应用   总被引：4，自引：1，他引：4       下载免费PDF全文

陈静 《应用气象学报》2002,13(1):109-116

文章介绍了一种将计算机图形识别技术与数值预报产品相结合, 预报中期天气过程的图形模式识别方法和模式基元识别过程。 利用 ECM WF 的产品, 建立川西北高原雪灾中期预报模型。 在计算机中模仿预报员的思维步骤, 自动分类推理判别, 滚动预报未来 3～ 5 日内雪灾天气发生日期。 1998 ～ 1999 年雪灾中期预报效果显著。  相似文献   

四川盆地南部地区构造发震能力的模式识别     

王虹  王维恩 《四川地震》1992,(3):24-29

本文采用模式识别的“Cora-3”方法和“Hamming”方法对四川盆地南部46个子区的12项孕震构造特征作定量综合,评价其发生中强地震的能力。通过内检评分和几个子区的试外推,结果基本令人满意。  相似文献   

应用模式识别方法预测油气储集层   总被引：11，自引：1，他引：11       下载免费PDF全文

钱绍新 《地球物理学报》1992,35(5):630-636

本文论述了模式识别在地震油气解释中的应用,并提出了一套实现的方法.在地震资料处理中提出了信息保持的思想和处理方法.从特殊处理后的地震记录中提取多种地震特征,这些特征主要来自地震道的自回归系数、最大熵频谱和自相关函数.利用聚类分析和判别分析方法对地震特征向量进行分类,实例表明,本文提出的地震模式识别方法能有效地划分油气储集层,即使在油层较薄或是反射变化不明显的地区也能奏效.  相似文献   

应用模式识别法选拔学术带头人     

钱效魁  王彦宾  吴谨冰 《华南地震》1993,(4)

讨论了与学术带头人培养、选拔有关的几个主要问题,并探讨了利用模式识别方法选拔学术带头人的可能性。  相似文献   

地球的五个气圈与氢、烃资源——兼论气体地球动力学   总被引：9，自引：0，他引：9  

杜乐天 《铀矿地质》1993,(5)

多年来中外地质界普遍认为地球只有一个外层大气圈。但是,这种概念现在需要修正,我们最近的研究表明,地球可能至少有五个气圈。天然气和石油的生物成因说将随石油资源逐渐告罄而接近其历史使命的完成。现在已经有相当多的资料吸引人们向地球的更深处去探索那更理想的可燃能源和化工原料。当前世界各地油藏开发得已经为数不多,尽管有巨大的投入但后备储量的增长远不能保证急速增长的需求。在我国情况尤其如此,实不容乐观。地球的排气作用(degassing,outgassing,)将为我们提供规模大得难以想象的巨大新能源和新型流体矿产。  相似文献   

山西省中部五大盆地主要作物农田热量、水量盈亏分析     

赵艺学  李洪建 《地理研究》1993,12(3):26-36

本文根据晋中五大盆地的热量、水量实测数据和当地的实际情况,分析计算了不同耕作制度下主要作物农田热量盈亏量和无灌溉条件下的水量盈亏量。为充分合理利用水热资源,发展农业生产,提供科学依据。  相似文献   

耿马7.2级地震某些震害现象及其解释     

周瑞琦  谷一山 《地震研究》1990,13(4):402-410

本文介绍了耿马7.2级地震的某些震害现象,通过简单的机理分析,认为这次地震竖向力作用比较突出。和发震构造的活动性状联系起来考虑,估计这次地震强烈的竖向震动可能与发震断层垂直运动分量较大有关。  相似文献   

识别多类异常的句法模式识别方法     

韩道范 《吉林大学学报(地球科学版)》1988,(3)

本文介绍识别多类异常的句法模式识别方法。它将异常值分段(或分小区间)并提取特征,根据特征值确定基元,然后将异常表示成链。用已知异常的链设计最近邻分类器,通过它对未知异常进行分类和识别。文章中仅对异常识别给出了特征值的提取,链的形成以及求不同长度链之间距离的算法。  相似文献   

Kohonen neural network and factor analysis based approach to geochemical data pattern recognition     

Xiang Sun  Jun Deng  Qingjie Gong  Qingfei Wang  Liqiang Yang  Zhongying Zhao 《Journal of Geochemical Exploration》2009

Kohonen neural network (KNN) and factor analysis are applied to regional geochemical pattern recognition for a Pb–Zn–Mo–Ag mining area around Sheduolong in Qinghai Province, China. Prior to factor analysis, the geochemical data are classified by KNN. The results demonstrate that the 4-factor model accounted for 67% of the variation in the data. Factor F1, a Pb–Zn–Mo factor and Factor F4, an Au–Ag factor, correlates with monzonitic granite intrusions and particularly with Pb–Zn–Mo–Ag mineralization within those rocks. Factor F2, an As–Co factor, correlates with metamorphic rocks of paleoproterozoic Baishahe formation. Factor F3, a Bi–Cu factor, correlates with granodiorite intrusions. The factor score maps suggest a revised location of faults and their mineralization significance in coarse geological map. The approach not only effectively interprets the geological significance of the factors, but also reduces the area of exploration targets.  相似文献   

Glacial isostatic adjustment in Fennoscandia from GRACE data and comparison with geodynamical models     

Holger Steffen  Heiner Denker  Jürgen Müller 《Journal of Geodynamics》2008,46(3-5):155

The Earth’s gravity field observed by the Gravity Recovery and Climate Experiment (GRACE) satellite mission shows variations due to the integral effect of mass variations in the atmosphere, hydrosphere and geosphere. Several institutions, such as the GeoForschungsZentrum (GFZ) Potsdam, the University of Texas at Austin, Center for Space Research (CSR) and the Jet Propulsion Laboratory (JPL), Pasadena, provide GRACE monthly solutions, which differ slightly due to the application of different reduction models and centre-specific processing schemes. The GRACE data are used to investigate the mass variations in Fennoscandia, an area which is strongly influenced by glacial isostatic adjustment (GIA). Hence the focus is set on the computation of secular trends. Different filters (e.g. isotropic and non-isotropic filters) are discussed for the removal of high frequency noise to permit the extraction of the GIA signal. The resulting GRACE based mass variations are compared to global hydrology models (WGHM, LaDWorld) in order to (a) separate possible hydrological signals and (b) validate the hydrology models with regard to long period and secular components. In addition, a pattern matching algorithm is applied to localise the uplift centre, and finally the GRACE signal is compared with the results from a geodynamical modelling. The GRACE data clearly show temporal gravity variations in Fennoscandia. The secular variations are in good agreement with former studies and other independent data. The uplift centre is located over the Bothnian Bay, and the whole uplift area comprises the Scandinavian Peninsula and Finland. The secular variations derived from the GFZ, CSR and JPL monthly solutions differ up to 20%, which is not statistically significant, and the largest signal of about 1.2 Gal/year is obtained from the GFZ solution. Besides the GIA signal, two peaks with positive trend values of about 0.8 Gal/year exist in central eastern Europe, which are not GIA-induced, and also not explainable by the hydrology models. This may indicate that the recent global hydrology models have to be revised with respect to long period and secular components. Finally, the GRACE uplift signal is also in quite good agreement with the results from a simple geodynamical modelling.  相似文献