黄土丘陵区小流域表层土壤的有机碳密度及其空间分布

通过野外调查和室内分析,采用多元线性逐步回归和地理信息系统(GIS)相结合的方法,研究了黄土丘陵区燕沟流域表层(0~20 cm)土壤的有机碳密度、空间分布及其与土地利用类型和地形因子等的关系。结果表明,流域表层土壤有机碳密度平均为1.72 kg/m2,变幅为0.97~2.93 kg/m2;土地利用类型是影响土壤有机碳密度变化的首要因子;流域土壤有机碳密度呈镶嵌的树枝状和条带状空间分布格局,其高值斑块区与乔木林地和灌木林地的分布一致,中值斑块区与草地和川坝地的分布一致,低值斑块区与梯田、果园、坡耕地、疏林地和未成林地的分布一致。流域表层土壤有机碳总储量为76.81×103t。

基于网络环境的地理信息系统-WebGIS

Web GIS作为一门新兴的技术学科 ,依托互联网的环境和 Internet实用技术 ,成为地理信息系统理论研究和技术创新的增长点。随着网络技术和应用市场的不断发展和扩大 ,将促进 GIS新兴信息产业的形成。本文结合工作实践 ,论述了 Web GIS的技术背景与发展 ,以及系统功能等基础理论 ,重点讨论了 Web GIS的体系结构、实现策略和技术方法

JCA适配器基础开发框架的设计与实现

针对当前JCA适配器开发难度大、效率低问题,提出一种JCA资源适配器的基础开发框架。该框架运用良好的设计模式,抽取并实现JCA规范中的系统契约和应用契约的核心部分,从而使开发人员只需实现和具体企业信息系统密切相关的功能特性,给出一套基于该基础框架的开发工具进行适配器的开发。实验结果表明,该框架能够有效地提高适配器的开发效率和质量。

Digital regionalization of geomorphology in Xinjiang

National Natural Science Foundation of China [40871177]; Project of State Key Lab of Resources and Environmental Information System [088RA304SA]; CAS Knowledge Innovation Project

DECODE: a new method for discovering clusters of different densities in spatial data

National Key Basic Research and Development Program of China [2006CB701305]; State Key Laboratory of Resource and Environment Information System [088RA400SA]; Chinese Academy of Sciences

Surface modelling of soil pH

In addition to classical methods, namely kriging, Inverse Distance Weighting (IDW) and splines, which have been frequently used for interpolating the spatial patterns of soil properties, a relatively more accurate surface modelling technique is being developed in recent years, namely high accuracy surface modelling (HASM). It has been used in the numerical tests, DEM construction and the interpolation of climate and ecosystem changes. In this paper, HASM was applied to interpolate soil pH for assessing its feasibility of soil property interpolation in a red soil region of Jiangxi Province, China. Soil pH was measured on 150 samples of topsoil (0-20 cm) for the interpolation and comparing the performance of HASM, kriging. IDW and splines. The mean errors (MEs) of interpolations indicate little bias of interpolation for soil pH by the four techniques. HASM has less mean absolute error (MAE) and root mean square error (RMSE) than kriging, IDW and splines. HASM is still the most accurate one when we use the mean rank and the standard deviation of the ranks to avoid the outlier effects in assessing the prediction performance of the four methods. Therefore, HASM can be considered as an alternative and accurate method for interpolating soil properties. Further researches of HASM are needed to combine HASM with ancillary variables to improve the interpolation performance and develop a user-friendly algorithm that can be implemented in a GIS package. (C) 2009 Elsevier B.V. All rights reserved.

VGIS-COLLIDE: an effective collision detection algorithm for

Collision detection is an important component in simulation applications which are based on virtual geographic information system (VGIS). In this paper, an effective collision detection algorithm for multiple objects in VGIS, VGIS-COLLIDE, is presented. The algorithm firstly integrates existing quadtree, which is the global hierarchical structure of VGIS, with axis-aligned bounding box of object to perform the broad-phase of collision detection. After that, exact collision detection between two objects which have passed the broad-phase of collision detection is performed. The algorithm makes no assumption about input primitives or object's motion and is directly applicable to all triangulated models. It can be applicable to both rigid and deformable objects without preprocessing. The performance of the algorithm has been demonstrated in several environments consisting of a high number of objects with hundreds of thousands of triangles.

Spatial distribution of soil heavy metal pollution estimated by different interpolation methods: Accuracy and uncertainty analysis

Mapping the spatial distribution of contaminants in soils is the basis of pollution evaluation and risk control. Interpolation methods are extensively applied in the mapping processes to estimate the heavy metal concentrations at unsampled sites. The performances of interpolation methods (inverse distance weighting, local polynomial, ordinary kriging and radial basis functions) were assessed and compared using the root mean square error for cross validation. The results indicated that all interpolation methods provided a high prediction accuracy of the mean concentration of soil heavy metals. However, the classic method based on percentages of polluted samples, gave a pollution area 23.54-41.92% larger than that estimated by interpolation methods. The difference in contaminated area estimation among the four methods reached 6.14%. According to the interpolation results, the spatial uncertainty of polluted areas was mainly located in three types of region: (a) the local maxima concentration region surrounded by low concentration (clean) sites, (b) the local minima concentration region surrounded with highly polluted samples; and (c) the boundaries of the contaminated areas. (C) 2010 Elsevier Ltd. All rights reserved.

Validating MODIS-derived land surface evapotranspiration with in situ measurements at two AmeriFlux sites in a semiarid region

Reducing uncertainties in the estimation of land surface evapotranspiration (ET) from remote-sensing data is essential to better understand earth-atmosphere interactions. This paper demonstrates the applicability of temperature-vegetation index triangle (T-s-VI) method in estimating regional ET and evaporative fraction (EF, defined as the ratio of latent heat flux to surface available energy) from MODIS/Terra and MODIS/Aqua products in a semiarid region. We have compared the satellite-based estimates of ET and EF with eddy covariance measurements made over 4 years at two semiarid grassland sites: Audubon Ranch (AR) and Kendall Grassland (KG). The lack of closure in the eddy covariance measured surface energy components is shown to be more serious at MODIS/Aqua overpass time than that at MODIS/Terra overpass time for both AR and KG sites. The T-s-VI-derived EF could reproduce in situ EF reasonably well with BIAS and root-mean-square difference (RMSD) of less than 0.07 and 0.13, respectively. Surface net radiation has been shown to be systematically overestimated by as large as about 60 W/m(2). Satisfactory validation results of the T-s-VI-derived sensible and latent heat fluxes have been obtained with RMSD within 54 W/m(2). The simplicity and yet easy use of the T-s-VI triangle method show a great potential in estimating regional ET with highly acceptable accuracy that is of critical significance in better understanding water and energy budgets on the Earth. Nevertheless, more validation work should be carried out over various climatic regions and under other different land use/land cover conditions in the future.

玻璃海鞘多肽PCI的分离纯化及其抗血管生成活性研究

血管生成是肿瘤生长、发展的必经之路，并且与实体瘤的发生、转移有着密切的关系，抑制肿瘤新生血管生成具有特异性高、疗效好、不易产生耐药性以及毒副作用低等特点，因此抑制肿瘤血管形成可望成为治疗癌症的一个突破点，以抗血管生成为主的肿瘤生物治疗研究已成为近十年的研究热点。玻璃海鞘（Coina intestinalis）属于内性目、玻璃海鞘科，因其进化上的独特地位常作为研究神经发育、免疫系统进化的材料。在其它种属的海鞘中分离发现了多种具有抗肿瘤活性的多肽，但关于玻璃海鞘抗血管生成活性多肽的分离纯化和活性研究未见报道。本文利用多种分离纯化手段，采用活性追踪的方法首次从玻璃海鞘中分离得到具有抗新生血管生成作用的多肽，并对其抗血管生成活性做了初步研究。 本研究利用冷丙酮分级沉淀，超滤截留分子量小于5kDa的蛋白，再经SephadexG25、Superdex75柱层析，µRPC C2/C18反相柱层析等分离手段，采用活性追踪的方法，由玻璃海鞘（Coina intestinalis）中分离纯化出抗血管生成多肽PCI，据保留时间计算其分子量为1.8 kDa。MTT检测表明其对人脐静脉血管内皮细胞（HUVEC）具有强烈的抑制作用，IC50为7.5 μg/ml，并对多种肿瘤细胞有直接的抑制作用。斑马鱼胚胎体内实验进一步表明PCI在40 μg/ml的浓度下作用12h，斑马鱼胚胎新生血管生成受到显著抑制，肠下静脉血管长度为正常组的30%，斑马鱼胚胎血管生成率为正常组的45%。

Cellular automata: Simulating alpine tundra vegetation dynamics in response to global warming

This study attempts to model alpine tundra vegetation dynamics in a tundra region in the Qinghai Province of China in response to global warming. We used Raster-based cellular automata and a Geographic Information System to study the spatial and temporal vegetation dynamics. The cellular automata model is implemented with IDRISI's Multi-Criteria Evaluation functionality to simulate the spatial patterns of vegetation change assuming certain scenarios of global mean temperature increase over time. The Vegetation Dynamic Simulation Model calculates a probability surface for each vegetation type, and then combines all vegetation types into a composite map, determined by the maximum likelihood that each vegetation type should distribute to each raster unit. With scenarios of global temperature increase of I to 3 degrees C, the vegetation types such as Dry Kobresia Meadow and Dry Potentilla Shrub that are adapted to warm and dry conditions tend to become more dominant in the study area.

基于双目视觉的运动物体实时跟踪与测距

利用双目视觉信息系统实现三维空间中运动物体实时跟踪与测距。当运动目标超出视野范围时,可通过控制摄像机云台转动搜索目标。此外,还研究了在摄像头运动情况下,无需重新标定,即可实现运动物体测距的算法。这里,自适应背景建模法与CamShift算法用于实现运动物体的辨识与跟踪。实验结果证明了所提出的算法能够有效地追踪物体,并同时准确地测量它的三维位置。

网络制造管理信息系统的现状与发展趋势

本文从企业生产管理信息系统的现状出发，详细分析了现有信息系统在生产计划管理、生产过程跟踪和系统软件结构方面存在的问题。在此基础上，进一步分析了未来企业对制造信息系统的需求及表现形式，并从信息技术角度研究了构件技术在未来企业制造管理信息系统中的作用，建立了构件技术特征与制造信息系统技术特征之间的映射关系，提出了为实现构件化信息系统所要解决的一些技术问题。

基于数据仓库的EIS在CIMS中的研究与实现

随着信息系统在企业应用的不断发展，越来越多的企业高层领导已不满足从ＭＩＳ、ＭＲＰＩＩ中获取的信息．本文结合在企业实际中应用的ＪＳＣＩＭＳ领导信息系统，首先介绍了ＣＩＭＳ环境下企业领导对信息系统的需求，然后给出了ＥＩＳ的概念和ＥＩＳ的ＣＳＦｓ，并在通用数据仓库模型基础上，提出了ＪＳＣＩＭＳ中ＥＩＳ数据仓库的模型及建立过程．