保山西邑铅锌矿采选工程RQD与RBI对比研究

用岩石质量指标和岩体块度指数的理论,对钻孔岩心实测资料进行分析和对比研究,对钻孔周围岩体进行分级。结果表明:岩体块度指数在岩石质量评价中能更准确地反映其优越性,具有更为显著的工程意义。     

基于GIS的地震安全性评价数据管理的研究

目前的地震安全性评价数据管理方法过于陈旧,不利于数据的查询和再利用。通过对这一问题的深入分析,针对安评数据的多元性特点,结合GIS的优势,提出了利用GIS技术对地震安全性评价数据进行管理的方法,并设计出了数据库管理系统的基本框架。该系统的建立,将为地震安全性评价数据管理、查询和再利用提供便利。     

Prediction by regression and intrarange data scatter in surface-process studies

Modeling is a major component of contemporary earth science, and regression analysis occupies a central position in the parameterization, calibration, and validation of geomorphic and hydrologic models. Although this methodology can be used in many ways, we are primarily concerned with the prediction of values for one variable from another variable. Examination of the literature reveals considerable inconsistency in the presentation of the results of regression analysis and the occurrence of patterns in the scatter of data points about the regression line. Both circumstances confound utilization and evaluation of the models. Statisticians are well aware of various problems associated with the use of regression analysis and offer improved practices; often, however, their guidelines are not followed. After a review of the aforementioned circumstances and until standard criteria for model evaluation become established, we recommend, as a minimum, inclusion of scatter diagrams, the standard error of the estimate, and sample size in reporting the results of regression analyses for most surface-process studies.     

数据同化在海洋生态模型中的应用和研究进展

将数据同化方法引入海洋生态系统动力学模型研究,利用现有的观测数据,获得最佳的模式参数、初始场或提高状态模拟,是当前多学科交叉研究的热门领域。本文依据国内外研究进展,主要就海洋生态模型研究中所采用的变分伴随、卡尔曼滤波、模拟退火法方法进行了介绍,总结了数据同化在我国的海洋生态系统研究中的现状和发展趋势。     

数据库系统研制中的几个实用技术

本文根据几个数据系统开发发的实践经验,针对距平台数据导入,无ＤＳＮ连接、动态结账,软、硬盘备份恢复,控件优化等方面提出了几种简洁有效的实用技术。     

树根桩法稳定建筑物沉降工程

针对浙江省奉化市粮食局米厂大米车间、粮库基础托换和锅炉房基础加固工程 ,成功地应用树根桩基础托换技术 ,使沉降和裂缝得到有效控制 ,危房再现使用价值     

国际全球变化计划与世界数据中心的联合行动：1997年联合数据会议及其启示

对国际全球变化研究计划的数据信息系统和世界数据中心联合召开的会议，以及会议做出的双方进行有效数据合作的若干决定和今后共同中的行动计划做了详细介绍。并根据国际发展趋势对我国有关数据工作的对策进行探讨并提出了建议。     

水电工程坝基岩体溶蚀程度对坝体不均匀沉降影响分析

水电站坝基岩体发生溶蚀以后会对大坝的稳定性带来较大的影响,本文以工程实例为依托,利用三维数值分析技术,分析计算了坝基岩体不同溶蚀程度对坝体不均匀沉降的影响。结果表明:当坝基岩体强烈溶蚀、中等溶蚀、轻微溶蚀以后,坝顶处的最大位移分别达到10cm、5.5cm、4cm。坝基岩体溶蚀程度越高,坝体各处不均匀沉降的程度越严重。在相同的溶蚀程度下,坝踵处的不均匀沉降程度最严重,坝顶处不均匀沉降程度次之,坝趾处不均匀沉降程度相对最小。     

酉阳河流域典型年汛期的基流分割研究

基流分割是水文学研究中的重难点问题之一,目前基流分割也存在许多方法.基于酉阳河典型年汛期实测日平均流量资料,分别采用Chapman-Maxwell改进方程数字滤波法一次滤波(参数N=1)以及二次滤波(参数N=2)、BFI(f)法、HYSEP固定步长法、HYSEP滑动步长法、HYSEP局部最小值法进行基流分割并对其结果进...     

Assessing spatial and attribute errors in large national datasets for population distribution models: a case study of Philadelphia county schools

Geospatial technologies and digital data have developed and disseminated rapidly in conjunction with increasing computing efficiency and Internet availability. The ability to store and transmit large datasets has encouraged the development of national infrastructure datasets in geospatial formats. National datasets are used by numerous agencies for analysis and modeling purposes because these datasets are standardized and considered to be of acceptable accuracy for national scale applications. At Oak Ridge National Laboratory a population model has been developed that incorporates national schools data as one of the model inputs. This paper evaluates spatial and attribute inaccuracies present within two national school datasets, Tele Atlas North America and National Center of Education Statistics (NCES). Schools are an important component of the population model, because they are spatially dense clusters of vulnerable populations. It is therefore essential to validate the quality of school input data. Schools were also chosen since a validated schools dataset was produced in geospatial format for Philadelphia County; thereby enabling a comparison between a local dataset and the national datasets. Analyses found the national datasets are not standardized and incomplete, containing 76 to 90 percent of existing schools. The temporal accuracy of updating annual enrollment values resulted in 89 percent inaccuracy for 2003. Spatial rectification was required for 87 percent of NCES points, of which 58 percent of the errors were attributed to the geocoding process. Lastly, it was found that by combining the two national datasets, the resultant dataset provided a more useful and accurate solution.