城市3维漫游系统在Skyline下的实现

“数字城市”是城市新的增长点,这一概念的提出源于“数字地球”,是城市化进程加快、可持续发展的必然要求。Skyline是当前世界应用较为广泛的3维软件之一,它能够快速地融合数据,更新场景数据库,展现3维地理空间数据,功能强大。文章探讨并实现了通过收集资料、数据预处理、建立3维地形空间数据库、快速3维建模、空间数据整合、系统集成等一系列步骤建立起的基于Skyline、以辽宁省某市景观带为项目区的3维漫游系统关键技术。     

基于ArcGIS的降水量空间插值方法研究

目前对降水量空间插值方法的研究很多,针对反距离权重插值、样条函数插值、普通克里金插值在降水量空间插值中的缺陷,提出引入月平均总云量影响因子的协同克里金插值方法。并以内蒙古降水量数据为例进行实验,实验结果表明,引入月平均总云量影响因子的协同克里金插值在精度和拟合度方面得到改善。     

探讨3维地物模型制作过程

自第一台计算机诞生以来,计算机技术迅速发展,并在各行各业中得到广泛应用.3维显示技术是随着计算机软硬件的快速发展而兴起的一个新的应用方向.它能在计算机中为用户提供一个3维的直观环境,通过视觉提高真实感.随着地理信息产业的快速发展,人们对3维地理空间支撑的需求越来越强烈,“数字城市”项目在各大城市如火如荼的发展,3维GIS进入了高速发展和广泛应用的新时期.这里探讨了综合运用3dsMax,Arc Map,creator,CAD,PhotoShop等软件制作3维地物模型的过程.     

Estimation of precipitation fields from 1-minute rain gauge time series – comparison of spatial and spatio-temporal interpolation methods

Accurate estimations of spatio-temporal fields at unsampled locations are important in a number of applications. Often, spatio-temporal fields are advected, which means the change in field values over time at a particular point in space stems to a large extent from motion of a more or less constant spatial field. For such dynamic fields, interpolation methods including information on the motion behaviour of the field are promising extensions of solely spatial (snapshot) and symmetric spatio-temporal methods. In this paper, the performance of different deterministic and geostatistical interpolation methods is compared for precipitation estimation from 1-minute time series of spatially distributed rain gauges. The focus is on spatio-temporal methods that include information on the motion behaviour of the rainfield, estimated from weather radar using optical flow. The different interpolation methods are introduced and evaluated using rain gauge measurements of a 15-day period and cross-validation. The results show that including information on the motion behaviour significantly improves interpolation quality in terms of RMSE.     

Stochastic model-based methods for handling uncertainty in areal interpolation

Handling of uncertainty in the estimation of values from source areas to target areas poses a challenge in areal interpolation research. Stochastic model-based methods offer a basis for incorporating such uncertainty, but to date they have not been widely adopted by the GIS community. In this article, we propose one use of such methods based in the problem of interpolating count data from a source set of zones (parishes) to a more widely used target zone geography (postcode sectors). The model developed also uses ancillary statistical count data for a third set of areas nested within both source and target zones. The interpolation procedure was implemented within a Bayesian statistical framework using Markov chain Monte Carlo methods, enabling us to take account of all sources of uncertainty included in the model. Distributions of estimated values at the target zone level are presented using both summary statistics and as individual realisations selected to illustrate the degree of uncertainty in the interpolation results. We aim to describe the use of such stochastic approaches in an accessible way and to highlight the need for quantifying estimation uncertainty arising in areal interpolation, especially given the implications arising when interpolated values are used in subsequent analyses of relationships.     

Representation of topography by porous barriers and objective interpolation of topographic data

We present a porous medium approach to representing topography, and a new algorithm for the objective interpolation of topography, for use in ocean circulation models of fixed resolution. The representation and algorithm makes use of two concepts; impermeable thin walls and porous barriers. Impermeable thin walls allow the representation of knife-edge sub-grid-scale barriers that block lateral flow between model grid cells. Porous barriers permit the sub-grid scale geometry to modulate lateral transport as a function of elevation. We find that the porous representation and the resulting interpolated topography retains key features, such as overflow sill depths, without compromising other dynamically relevant aspects, such as mean ocean depth for a cell. The accurate representation of the ocean depth is illustrated in a simple model of a tsunami that has a cross-basin travel time very much less dependent on horizontal resolution than when using conventional topographic interpolation and representation.     

Fishery analysis using gradient-dependent optimal interpolation

The current lack of high-precision information on subsurface seawater is a constraint in fishery research. Based on Argo temperature and salinity profiles, this study applied the gradient-dependent optimal interpolation to reconstruct daily subsurface oceanic environmental information according to fishery dates and locations. The relationship between subsurface information and matching yellowfin tuna(YFT) in the western and central Pacific Ocean(WCPO) was examined using catch data from January 1...     

Reconstruction of eddies by assimilating satellite altimeter data into Princeton Ocean Model

An optimal interpolation assimilation model for satellite altimetry data is developed based on Princeton Ocean Model (POM), which is applied in a quasi-global domain, by the method of isotropic correlation between sea level anomaly (SLA) and sea temperature anomaly. The perfor- mance of this assimilation model is validated by the modeled results of SLA and the current patterns. Comparisons between modeling and satellite data show that both the magnitudes and distribution patterns of the simulated SLA are improved by assimilation. The most signiˉcant improvement is that meso-scale systems, e.g., eddies, are well reconstructed. The evolution of an eddy located in the northwest Paciˉc Ocean is traced by using the assimilation model. Model results show that during three months the eddy migrated southwestward for about 6 degrees before merging into the Kuroshio. The three dimensional structure of this eddy on 12 August 2001 is further analyzed. The strength of this warm, cyclonic eddy decreases with the increase of depth. The eddy shows di?erent horizontal patterns at di?erent layers, and the SLA and temperature ˉelds agree with each other well. This study suggests that this kind of data assimilation is economic and reliable for eddy reconstruction, and can be used as a promising technique in further studies of ocean eddies as well as other ˉne circulation structures.     

日本周边海域温跃层特性研究及温度剖面模型构建

使用"中国ARGO实时资料中心"提供的2005—2009年连续5 a日本南部海域的ARGO浮标资料,通过建立标准层,统计并提取各标准层的剖面温度,采用AKIMA插值方法计算各层的温度梯度。较详细分析了该海域温度垂直剖面特征及温跃层的分布规律。在此基础上,使用分段三次多项式拟合方法建立了适用于该海区的温度垂直剖面模型,并利用2010年ARGO数据对模型进行了验证,研究表明,经过模型模拟的剖面温度与实测温度之间的相关系数可达到0.99以上。     

Hybrid N-order Lagrangian Interpolation Eulerian?Lagrangian Method for Salinity Calculation

The Eulerian?Lagrangian method (ELM) has been used by many ocean models as the solution of the advection equation, but the numerical error caused by interpolation imposes restriction on its accuracy. In the present study, hybrid N-order Lagrangian interpolation ELM (LiELM) is put forward in which the N-order Lagrangian interpolation is used at first, then the lower order Lagrangian interpolation is applied in the points where the interpolation results are abnormally higher or lower. The calculation results of a step-shaped salinity advection model are analyzed, which show that higher order (N=3?8) LiELM can reduce the mean numerical error of salinity calculation, but the numerical oscillation error is still significant. Even number order LiELM makes larger numerical oscillation error than its adjacent odd number order LiELM. Hybrid N-order LiELM can remove numerical oscillation, and it significantly reduces the mean numerical error when N is even and the current is in fixed direction, while it makes less effect on mean numerical error when N is odd or the current direction changes periodically. Hybrid odd number order LiELM makes less mean numerical error than its adjacent even number order LiELM when the current is in the fixed direction, while the mean numerical error decreases as N increases when the current direction changes periodically, so odd number of N may be better for application. Among various types of Hybrid N-order LiELM, the scheme reducing N-order directly to 1st-order may be the optimal for synthetic selection of accuracy and computational efficiency.