Generalized ‘dependencies’ and parameter variance

The autodependence, (a special case of the — now quite obsolete — dependences, which had been introduced for very specialized astrometric purposes) is proportional to the parameter variance which is the expectation of the variance of the systematic error of a function evaluated with estimated parameters.     

城市地下空间三维地籍的建立

随着城市建设中地下空间的开发,传统的二维地籍已难以满足地籍管理在三维方向上的扩展,迫切需要利用三维地籍对地下空间进行数据管理和空间确权。本文基于地下空间开发中各类地物的空间特征,首先从三维自然特性与法律特性两个方面建立了三维地籍的概念,并进而阐述了三维地籍数据模型以及二维地籍与三维地籍的一体化数据管理方法。     

基于特征的空间数据模型研究

与传统的基于分层的数据组织方式相比,基于特征的空间数据组织方式更符合人们认识和分析现实世界的模式,有利于完整而精确地描述地理现象。本文详细论述了基于特征的空间数据组织的相关概念,对基于特征的空间数据模型进行了探讨。     

热带西太平洋海域上层海洋热含量的CSEOF分析

基于月平均Argo温、盐度剖面、纬向风和Ni o3.4指数等资料,利用循环平稳经验正交函数(CSEOF)分解法、最大熵谱分析和相关分析等方法,研究了热带西太平洋海域上层(0—700m)海洋热含量的时空变化特征,并探讨了其年际变化的可能原因。结果表明,热带西太平洋海域上层海洋热含量距平场具有显著的东-西向反位相振荡,且这种振荡除了具有较明显的季节变化外,还存在着较强的准2a振荡。此外,热含量距平场还存在着负-正-负的三极式经向模态,该模态除了具有明显的季节变化外,还存在着显著的准4a振荡。进一步分析表明,热含量的准2a振荡与ENSO事件的发生有着非常密切的联系,并对赤道西太平洋纬向风异常有1—2月的滞后响应。     

GNSS 监测数据预处理在变形预测中的应用

GNSS监测技术被广泛应用于变形监测工作中,但GNSS监测数据中会有缺失值、噪声等误差的存在,对预测结果造成影响。引入改进的小波神经网络模型进行变形预测,并考虑该模型的自适应性和容错性,分别采用三次样条插值法、小波滤波法和拉依达准则对原始监测数据进行缺失值填补、去噪和粗差剔除等预处理。并利用实际监测数据进行短期预报分析,对比原始监测数据和预处理后的监测数据的预测结果,结果表明预处理后的监测数据的预测效果更好。     

IDL在青藏铁路地理信息系统中的应用研究

GIS二次开发中通常使用的GIS组件方法,大多受到开发商限制或组件提供的扩展接口不能满足系统功能需求的限制.在青藏铁路地理信息系统中为满足应用需求,采用了"IDL+C#+ArcS-DE"的开发模式,将IDL集成到青藏铁路地理信息系统的体系结构中,并利用IDL实现了GIS的功能.最后阐述了利用IDL进行时态钻孔数据分析、处理及可视化过程和冻土模型输出结果的可视化过程.     

Curve-Fitting Schemes for Fragmentation Data

Fragmentation measurements in the form of sieve passing and mass fraction data were used to test the capability of three different distributions to fit the observed data over a wide range in fragment size and mass. These distributions were based on Rosin-Rammler, lognormal and simple sigmoidal (S-shaped) functions, having 2 input parameters for the single-component versions and 5 input parameters for the two-component versions. Provided convergence was achieved in the non-linear curve-fitting technique, the two-component versions always provided superior fits to the observed data. However, these versions were very sensitive to variations in the values chosen for the input parameters. In this particular regard, the two-component sigmoidal function was the most robust. The present results also show that the two-component lognormal function provided the best fit to the fragmentation data in a general sense, and the two-component Rosin-Rammler function provided the worst fit. However, there was not a significant difference between any of the three methods.     

需求驱动兵团空间数据本体语义的描述

针对兵团空间信息集成与共享异构数据语义的广泛性和复杂性,本文依据其领域特性和共享需求,采用本体作为兵团空间数据表示的方法,从应用领域出发,以需求来驱动兵团空间数据本体框架构建,提出了兵团空间数据的本体工程构建方法,研究了本体领域、概念类型、语义关系,并对空间数据本体进行了语义描述。评估表明该方法构建的兵团空间数据本体有效,有利于数据共享与互操作。     

2008年初地面观测数据资料审核的异常分析及处理

结合2008年1~2月地面气象观测A文件数据的审核情况,针对台站气压突跳的反常记录,通过理论分析,判断是因天气现象变化所致,同时对特殊天气现象如固态降水、积雪的观测记录,提出处理方法。     

Nighttime convection in the interior of a dense Douglas fir forest

Infrared radiative surface temperatures as observed over a dense Douglas fir forest during stable atmospheric conditions are analyzed. It is shown that the concept of a single surface temperature to describe both the thermal coupling and the radiative coupling between atmosphere and forest fails when longwave cooling is large and wind speeds are low. In such cases a decoupling of the radiative surface temperature from the air temperature aloft is observed. Conditions for decoupling are formulated in terms of an appropriate Richardson number. It is shown that a convective surface temperature comes into play that is coupled to the forest interior air temperature. Observed radiative surface temperature is then composed of this convective surface temperature and the aerodynamic surface temperature. Forest interior air temperature during nighttime is, in general, lower than air temperature above the canopy. A simple two-layer canopy model is used to explain this phenomenon in terms of the distribution of atmospheric sensible heat flux and storage heat flux over the two canopy layers.