西北太平洋热带气旋中期路径的统计释用综合预报模式

提出一个热带气旋中期路径的统计释用综合预报模式。该模式应用ＴＣ参数，初妈时刻及未来时刻的环境场参数和导出因子，构造了多种中期天气时空惊讶的预报因子；应用数值天气预报产品的统计释用技术和多种分类预报模式的综合集成，构造了ＴＣ中期路径的客观定量预报模式。     

利用希尔伯特变换解释重力异常

本文给出了几种规则形状二度体和三度体重力异常的希尔伯特变换式,提出了一种利用希尔伯特变换反演异常体的方法。这种方法充分利用了重力异常信息:利用重力异常Δg(x)曲线和它的希尔伯特变换H(x)曲线及Δg(x)-H(x)参量图上的某些特征点直接反演异常体形状参数及埋深。方法简单、实用。     

Stochastic modeling based on deterministic formulation: An example

In the context of seismology, an example of stochastic modeling on the basis of an established deterministic formulation is presented. The advantages of this approach to modeling over those based solely on statistical fit are discussed. It is demonstrated that the result of applying this procedure is a model whose main parameter has a physical interpretation, and therefore a validation based on criteria other than statistical goodness of fit is also possible. Statistical inference together with some demonstrating examples are also included.     

Use of mixed bivariate distributions for deriving inter‐station correlation coefficients of rain rate

Even though rain rate is notorious for its spatial and temporal intermittency, its effect on the second‐order statistics of rain rate, especially the inter‐station correlation coefficients, has not been intensively evaluated before. This study has derived and compared the inter‐station correlation coefficient of rain rate for three cases of data: (1) only the positive measurements at both locations; (2) the positive measurements at either one or both locations; (3) all the measurements including zero measurement at both locations. For these three cases, the inter‐station correlation coefficients are analytically derived by applying the mixed bivariate log‐normal distribution. As an application example, the model parameters are estimated using the rain rate data collected at the Geum River basin, Korea, and the resulting inter‐station correlation coefficients are evaluated and compared with those estimated by applying the Gaussian distribution. We could find that highly biased inter‐station correlation coefficients are unavoidable when simply estimating them under the assumption of Gaussian distribution, or even when using the log‐transformed rain rate data. Copyright © 2007 John Wiley & Sons, Ltd.     

Construction of a fluvial facies knowledge graph and its application in sedimentary facies identification

Lithofacies paleogeography is a data-intensive discipline that involves the interpretation and compilation of sedimentary facies. Traditional sedimentary facies analysis is a labor-intensive task with the added complexity of using unstructured knowledge and unstandardized terminology. Therefore, it is very difficult for beginners or non-geology scholars who lack a systematic knowledge and experience in sedimentary facies analysis. These hurdles could be partly alleviated by having a standardized, structured, and systematic knowledge base coupled with an efficient automatic machine-assisted sedimentary facies identification system. To this end, this study constructed a knowledge system for fluvial facies and carried out knowledge representation. Components include a domain knowledge graph for types of fluvial facies (meandering, braided and other fluvial depositional environments) and their characteristic features (bedforms, grain size distribution, etc.) with visualization, a method for query and retrieval on a graph database platform, a hierarchical knowledge tree-structure, a data-mining clustering algorithm for machine-analysis of publication texts, and an algorithm model for this area of sedimentary facies reasoning. The underlying sedimentary facies identification and knowledge reasoning system is based on expert experience and synthesis of publications. For testing, 17 sets literature publications data that included details of sedimentary facies data (bedforms, grain sizes, etc.) were submitted to the artificial intelligence model, then compared and validated. This testing set of automated reasoning results yielded an interpretation accuracy of about 90% relative to the published interpretations in those papers. Therefore, the model and algorithm provide an efficient and automated reasoning technology, which provides a new approach and route for the rapid and intelligent identification of other types of sedimentary facies from literature data or direct use in the field.     

琼东南盆地深水区主要构造因素与成盆机制分析-地震解释与物理模拟实验

Located at the northwest continental slope of the South China Sea, the Qiongdongnan Basin bears valley-shaped bathymetry deepening toward east. It is separated from the Yinggehai Basin through NW-trend...     

运用支持向量机方法对数值模拟结果的初步释用

基于获得的海水浴场逐日两次观测资料及同期NCEP数值模拟结果(提取各种相关变量),通过求取两者之间的相互关系,并采用最优子集方法确定了对各预报要素具有重要意义的影响因子。针对海水浴场的气温、降水及能见度等要素的预报,应用支持向量机方法建立了相应的预测模型,最终获得不同海水浴场在不同预报时效、不同预报要素的数值产品释用结果。经过对比分析,各预报要素释用后的结果较释用前在预报准确率方面有较大的提高。     

ArcGIS ModelBuilder模型设计方法在影像解译中的应用

在影像解译的工作过程中,需要对大量的栅格和矢量数据进行处理,绝大部分的数据处理工作是一种流程化的重复操作。ModelBuilder是一个ArcGIS平台下一个用来创建、编辑和管理模型的应用程序。文中利用ModelBuilder快速地构建模型,模型根据设定的程序自动处理数据,在一定程度上提高影像解译工作的效率,保证最终成果质量。     

地理国情普查中解译样本数据检查技术探讨

地理国情普查项目中的遥感影像解译样本数据质量关乎普查产品质量。其数据的获取是普查工作的重要内容。普查数据的获取涉及面广,精度要求高,传统检查方式难于发现问题。文中通过ArcGIS自带的VBA脚本语言实现了数据库内容与照片和实例间的对应性检查;使用开源的GDAL库及C++语言实现了实例标注位置及裁剪范围的正确性检查。该技术使解译样本数据检查效率得到提高,同时检查精度及检查内容最大限度得到保证。