一种从经纬度网格资料获得正方形网格资料的插值方案

本文提出了一种把经纬度网格点上的气象要素值转化到正方形网格点上的多项式插值方案。对插值方案作了稳定性讨论和定量及定性分析。结果表明,这种插值方案方便可行,而且有广泛适用性。     

GPS signal acquisition using the repeatability of successive code phase measurements

This paper introduces a new method for GPS signal acquisition, which is based on the repeatability of successive code phase measurements and the M-of-N search algorithm. The performance of the proposed method in terms of probability of signal detection is similar to that of traditional methods, except that the calculation of the probability of detection does not rely on the noise distribution or the Carrier-to-Noise ratio (C/N₀). The code phase repeatability-based method is presented along with equations for probability of detection and probability of false detection. If the distribution of the noise is known, it also provides an estimate of the C/N₀. The proposed method is illustrated for coherent and non-coherent acquisition and C/N₀ estimation.     

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.     

Developing a SPASE Query Language

The advent of the Virtual Observatory has begun an evolution in the space physics data environment. A number of nascent and discipline specific Virtual Observatories have started to emerge with an emphasis on data search and retrieval. As this new data environment takes shape an emphasis will be placed on interdisciplinary communication in attempts to address large scale and global problems. To this end we formulate the development of a query language to facilitate Virtual Observatory to Virtual Observatory communication. Furthermore, we outline the goals of such a language, how it would work and how existing community efforts can be leveraged to speed the development of this query language.

Reservoir description using dynamic parameterisation selection with a combined stochastic and gradient search

There is a correspondence between flow in a reservoir and large scale permeability trends. This correspondence can be derived by constraining reservoir models using observed production data. One of the challenges in deriving the permeability distribution of a field using production data involves determination of the scale of resolution of the permeability. The Adaptive Multiscale Estimation (AME) seeks to overcome the problems related to choosing the resolution of the permeability field by a dynamic parameterisation selection. The standard AME uses a gradient algorithm in solving several optimisation problems with increasing permeability resolution. This paper presents a hybrid algorithm which combines a gradient search and a stochastic algorithm to improve the robustness of the dynamic parameterisation selection. At low dimension, we use the stochastic algorithm to generate several optimised models. We use information from all these produced models to find new optimal refinements, and start out new optimisations with several unequally suggested parameterisations. At higher dimensions we change to a gradient-type optimiser, where the initial solution is chosen from the ensemble of models suggested by the stochastic algorithm. The selection is based on a predefined criterion. We demonstrate the robustness of the hybrid algorithm on sample synthetic cases, which most of them were considered insolvable using the standard AME algorithm.     

洪水演进三维模拟仿真系统可视化研究

洪水演进仿真系统的研制，是实施“数字流域”工程的重要组成部分；结合洪水演进可视化目标的分析，基于Visual C 系统开发平台，融GIS技术和Opengl开发技术，采用三角形逼近、光滑处理和加入法向量以控制光照的方式，实现了流域地形及河床的三维可视化仿真；应用广度优先搜索算法确定了运动水体与流域河床形态的自适应与自相依的关系，使流域洪水演进模拟具有真实自然的可视化效果。所研制的系统雏形，可有效的模拟流域洪水的三维演进过程；     

基于网格的空间信息模型与服务技术研究

空间信息基础设施是实现数字城市的核心与基础，现有的万维网已经不能满足空间信息访问与处理的需要。该文对以空间信息为核心和基础的数据网格——空间信息网格的基础理论及网格中的空间信息模型与服务技术：进行研究。提出了空间信息网格的若干关键技术及网格中的空间信息模型的特点与要求，并对空间信息网格服务进行了初步的探讨。     

美国城市搜索与救援体系的组成及运作模式概述

美国城市搜索与救援体系是世界上最完善的体系之一，多年来在城市救灾和应对突发事件中发挥了重要作用，减轻了生命和财产的损失。文章概述了美国城市搜索与救援体系的组成、任务、运作原则和管理机构及支援机构。     

地震灾害现场救援搜索策略与搜索方法有关问题的讨论

对地震灾害现场的搜索策略和搜索方法等有关问题进行了讨论，推荐了常用的搜索策略，对不同搜索方法的利弊进行了分析；对搜索方法的使用也做了讨论。通过讨论，文章就搜索分队的组成、任务、装备和部署等提出了建议。     

从城市地区的DSM到DTM

讨论了根据影像匹配的结果将ＤＳＭ修正成ＤＴＭ的方法。本文针对城市地区航空影像的立体匹配结果，结合影像的结构纹理特征，提出了一种自动修正影像匹配结果以获得正确的ＤＴＭ的方法。