三维城市模型在城镇地籍管理中的应用

地籍管理是土地管理的基础,是国家依法管理土地权属、保护土地所有者和使用者合法权益而采取的行政措施。本文针对当前地籍管理中二维宗地图常因界址不明而引发土地纠纷的现状,在城镇地籍管理中引入了表达直观的三维城市模型。三维空间的交互浏览、界址点、界址线与三维城市模型的叠加、宗地信息的查询以及三维宗地图的制图输出改变了传统地籍管理的模式,在实践中取得了较好的效果,是未来城镇地籍管理的一种重要手段。     

Modelling Positional Uncertainty of Line Features by Accounting for Stochastic Deviations from Straight Line Segments

The assessment of positional uncertainty in line and area features is often based on uncertainty in the coordinates of their elementary vertices which are assumed to be connected by straight lines. Such an approach disregards uncertainty caused by sampling and approximation of a curvilinear feature by a sequence of straight line segments. In this article, a method is proposed that also allows for the latter type of uncertainty by modelling random rectangular deviations from the conventional straight line segments. Using the model on a dense network of sub‐vertices, the contribution of uncertainty due to approximation is emphasised; the sampling effect can be assessed by applying it on a small set of randomly inserted sub‐vertices. A case study demonstrates a feasible way of parameterisation based on assumptions of joint normal distributions for positional errors of the vertices and the rectangular deviations and a uniform distribution of missed sub‐vertices along line segments. Depending on the magnitudes of the different sources of uncertainty, not accounting for potential deviations from straight line segments may drastically underestimate the positional uncertainty of line features.     

一种基于空间虚拟场景的森林冠层雷达相干散射模型

建立了一种基于分形树和森林动态生长模型的森林冠层雷达相干散射模型.和非相干散射模型相比,相干散射模型不仅考虑了每个散射体的空间位置信息,还保留了后向散射信号中的相位信息.利用已建立的模型模拟了大兴安岭常青林场某一区域白桦纯林的雷达后向散射信号,验证结果说明模型是可靠的,是可以用来反演森林的几何结构和生物物理参数的.     

GPS伪卫星的组合定位技术及其误差分析

介绍了GPS伪卫星组合定位的观测模型,详细论述了GPS伪卫星组合定位中存在的误差源,并对各误差源的消除方法进行了分析。     

GM（1，1）动态模型在吴江市地下水水位预测中的应用

以吴江市地下水水位预测为例,详细阐述了地下水水位时间序列的GM（1,1）动态模型的原理和建立过程,并根据模型的预测值和实测值,对模型的精度进行了检验,结果表明,模型的预测精度达到了99．27％,等级属于Ⅰ级,具有实际的应用价值,为地下水资源的科学管理提供了依据。     

城市空间信息基础设施建设结构模型研究

首先对WebGIS的发展状况进行了分析,然后介绍了Web Services的工作原理,给出了面向Geo-Services的城市空间信息基础设施建设的结构模型,并依据该模型对北京市基础地理信息数据库集成项目进行了典型研究.     

天然气溶解过程中组分分馏模型及其应用

天然气不同组分在水中溶解度的差异,导致溶解相与残留游离相天然气组分组成不同,即发生组分的溶解分馏效应。溶解分馏效应在天然气水溶运移、溶解散失等过程中均有发生。揭示天然气组分的溶解分馏规律、建立定量分馏模型,有助于天然气气源对比和成藏过程示踪。以Henry定律为依据,对不同组分溶解特征分析,提出了溶解度分数的概念,并建立了溶解分馏模型。根据该模型和各组分的溶解度分数和天然气溶解量,可计算各组分的溶解分馏量,恢复天然气初始组成特征。计算表明,威远震旦系气藏初期的天然气组成为:CH4为72.70%,C2H6为0.09%,CO2为22.41%,N2为4.07%,干燥系数(C1/C1-5)为99.876%。溶解作用使天然气中CO2含量显著降低,烃类气体含量增加,而天然气干燥系数降低。结果有助于天然气成因判识和气源对比等。     

利用UML模型构建Geodatabase的方法与实践

利用UML模型生成Geodatabase数据库便于数据库的更新及移植,同时能很好地反映数据库结构及对象之间的关系。论文分析了利用VISIO建模工具构建Geodatabase的UML模型以及在此基础上利用ArcGIS Desktop相关模块生成Geodatabase数据库的方法,并以上海市绿化林业信息数据库为例,演示了Geodatabase的创建及更新过程。     

Dynamic data integration for structural modeling: model screening approach using a distance-based model parameterization

This paper proposes a novel history-matching method where reservoir structure is inverted from dynamic fluid flow response. The proposed workflow consists of searching for models that match production history from a large set of prior structural model realizations. This prior set represents the reservoir structural uncertainty because of interpretation uncertainty on seismic sections. To make such a search effective, we introduce a parameter space defined with a “similarity distance” for accommodating this large set of realizations. The inverse solutions are found using a stochastic search method. Realistic reservoir examples are presented to prove the applicability of the proposed method.     

Uncertainty as the overlap of alternate conditional distributions

An important task in modern geostatistics is the assessment and quantification of resource and reserve uncertainty. This uncertainty is valuable support information for many management decisions. Uncertainty at specific locations and uncertainty in the global resource is of interest. There are many different methods to build models of uncertainty, including Kriging, Cokriging, and Inverse Distance. Each method leads to different results. A method is proposed to combine local uncertainties predicted by different models to obtain a combined measure of uncertainty that combines good features of each alternative. The new estimator is the overlap of alternate conditional distributions.