Microsoft SQL Server 2000在天津市地震前兆台网中心的应用

主要介绍了《天津市地震前兆台网管理软件》的数据库管理功能及其在前兆台网中心的重要作用,VB管理数字化前兆数据库的关键技术、HTTP方式访问数据库的方法以及地下流体月报表打印源码实例等。     

MS2000激光粒度仪测量第四纪沉积物粒度的定量进样研究

粒度是第四纪古气候与古环境重建的常用替代指标,目前通常采用Mastersizer2000激光粒度仪进行分析,该测试仪器优点是速度快、精度高、重复性好,缺点是进样过程未实现定量化,对部分沉积样品的分析结果出现一定的随机性和不确定性,分析结果易产生人为误差。为探究样品量和进样方法对测试结果可能造成的影响,本研究选取6类代表性第四纪松散沉积物,预处理后分别采用倾倒法、吸管法及定量进样法进行多次重复实验。结果显示:粒度组分越单一,不同进样方法造成的结果误差越小;如果沉积物含有多个粒度组分,而预处理样品量过多,倾倒法容易造成粒度结果偏细,吸管法往往造成实验结果偏粗,定量进样法实验结果居于前两者之间。采用烧失量法计算沉积物中碳酸盐、有机质含量,结合马尔文激光粒度仪测试原理及多次定量重复实验结果,计算了一次实验所需样品量,发现其与中值粒径和碳酸盐、有机质(合称杂质)含量呈线性正相关。根据该线性关系式,在分析第四纪沉积物中值粒径范围及杂质含量的前提下,可计算一次测试所需样品量,将全部预处理后样品倒入测试烧杯中,可有效避免样品量和进样方法对样品粒度实验结果造成的误差。     

GTC2000软件的二次开发与应用

文章指出了GTC2000在内业编图、作图及一些主要功能不适用等几个方面的不足,并分别针对各项提出了改正的方法.     

几种移去恢复法的比较分析

小区域的工程建设中,为充分利用GPS测得的大地高成果,通常采用几何拟合法和移去恢复法计算当地的大地水准面模型,通过具体算例对常用的拟合模型和几种移去恢复法进行分析比较,提出基于CQG2000的移去恢复法,试验表明该法较其它方法精度有明显提高。     

两种激光粒度仪测量湖泊沉积物粒度结果的对比

湖泊沉积物粒度参数是湖泊沉积与环境演变研究中常用的环境指标,近年来激光粒度仪的发展和广泛使用更是促进了粒度指标的应用并在很大程度上提高了精度和效率.然而不同的激光粒度仪对于同一样品的测量会得到不同的结果,本文利用两种常见的激光粒度仪测量了西藏纳木错的两支岩芯,并对结果进行了对比分析.从仪器的重现性来看,Mastersizer2000型激光粒度仪要优于LS13320型激光粒度仪,而LS13320型激光粒度仪在对含量较少的细颗粒和粗颗粒的检测效果上优于Mastersizer2000型激光粒度仪;两种仪器得到的粒度参数d(0.1)和d(0.5)无论在变化趋势还是绝对数值上都较为相似,而d(0.9)的差异则较大.对比研究结果为利用湖泊沉积物粒度参数提取古环境信息研究提供了基础依据.     

High Precision Geoid Models HKGEOID-2000 for Hong Kong and SZGEOID-2000 for Shenzhen,China

High precision geoid models HKGEOID-2000 for Hong Kong and SZGEOID-2000 for Shenzhen, China, have been developed with a hybrid approach of so-called sequential processing, using high precision GPS/leveling data, land and sea gravity anomalies, and digital terrain models. These two local geoid models have the same 1-km resolution. The estimated accuracy (external accuracy) is better than 1.7 cm for HKGEOID-2000 and 1.4 cm for SZGEOID-2000. Some common areas are covered by HKGEOID-2000 and SZGEOID-2000. So these two geoid models, along with high quality GPS/leveling data collected on the overlapping areas, can be used to detect the systematic bias between HKGEOID-2000 and SZGEOID-2000, as well as the difference between Hong Kong Principal Datum and 1956 yellow sea height datum of China, yielding RMS errors of 1.011 m and 1,003 m, respectively. Moreover, HKGEOID-2000, along with GPS ellipsoidal heights, is employed to determine the errors of the “orthometric heights” from purely trigonometric heighting, yielding an RMS error of 0.102 m. The combination of SZGEOID-2000 and GPS ellipsoidal heights has been used to replace the traditional spirit leveling and mapping, called GPS mapping.     

Searching for water ice on 47171 1999 TC36, 1998 SG35, and 2000 QC243: ESO large program on TNOs and centaurs

Transneptunian objects and Centaurs are supposed to be among the most pristine bodies of the Solar System. To investigate their physical properties and their surface composition, an ESO large program at the Very Large Telescope was carried out. In this paper we present photometric and spectroscopic near-infrared data of two Centaurs (1998 SG35 and 2000 QC243) and one transneptunian object (47171 1999 TC36). For 47171 1999 TC36 and 1998 SG35 visible photometry is also presented. Models of the surface composition of these objects are presented and discussed. By including a small percentage of water ice in our geographical mixtures, we obtain a better agreement with the observations in the H and K bands.     

并置VLBI站的相对形变及其与全球解结果的比较

基于ITRF2000地球参考架的三维VLBI站速度矢量和NNR-NUVEL-1A地球板块运动模型，采用观测的VLBI基线长变化率作为约束，估计和讨论了全球6个并置VLBI站的局部或区域性地壳的相对形变，并与国际地球参考架ITRFs解和VLBI全球解glb2003以及VTRF2003的结果进行了比较．结果表明日本Kashima与Kashim34VLBI站之间，美国GREENBANK的NRAO20与NRAO85-3站之间可能存在每年约近4毫米的相对垂直形变；WESTFORD与HAYSTACK二站间每年近2毫米的垂直形变率差基本可得到肯定，KOKEE和KAUAI二站的垂直形变率约有每年1至3毫米的差．利用如下方法能较可靠地检测出并置VLBI站间的局部或区域性的地壳垂直形变，改进ITRF解的可能不足．     

A HIGH-RESOLUTION, GRIDDED DATASET FOR MONTHLY TEMPERATURE NORMALS (1971-2000) IN SWEDEN

A baseline climatology is required in evaluating climate variability and changes on regional and local scales. Gridded climate normals, i.e. averages over a 30‐year period, are of special interest since they can be readily used for validation of climate models. This study is aimed at creating an updated gridded dataset for Swedish monthly temperature normals over the period 1971–2000, based on standard 2‐m air temperature records at 510 stations in mainland Sweden. Spatial trends of the normal temperatures were modelled as functions of latitude, longitude and elevation by multiple linear regression. The study shows that the temperature normals are strongly correlated with latitude throughout the year and especially in cold months, while elevation was a more important factor in June and July. Longitude played a minor role and was only significant in April and May. Regression equations linking temperature to latitude, longitude and elevation were set up for each month. Monthly temperature normals were detrended by subtracting spatial trends given by the regressions. Ordinary kriging was then applied to both original data (simple method) and de‐trended data (composite method) to model the spatial variability and to perform spatial gridding. The multiple regressions showed that between 82% (summer) and 96% (winter) of the variance in monthly temperature normals could be explained by latitude and elevation. Unexplained variances, i.e. the residuals, were modelled with ordinary kriging with exponential semivariograms. The composite grid estimates were calculated by adding the multiple linear trends back to the interpolated residuals at each grid point. Kriged original temperature normals provided a performance benchmark. The cross–validation shows that the interpolation errors of the normals are significantly reduced if the composite method rather than the simple one was used. A gridded monthly dataset with 30‐arcsecond spacing was created using the established trends, the kriging model and a digital topographic dataset.     

Comparative assessment of CORINE2000 and GLC2000: Spatial analysis of land cover data for Europe

Given the current lack of interoperability between global and regional land cover products, efforts are underway to link the new European global land cover map (GLOBCOVER) with the existing global land cover 2000 map (GLC2000) and European CORINE mapping initiative. Since both datasets apply different mapping standards, key for a successful implementation is a thorough understanding of the heterogeneities among both datasets. Thus, this paper provides an assessment of compatibilities and differences between the CORINE2000 and GLC2000 datasets. The comparative assessment considers inconsistencies between the thematic legends (using the UN land cover classification system-LCCS), class specific accuracies, and the spatial resolution and heterogeneity of the datasets. The results are summarized with implications for the development of the new GLOBCOVER datasets.