地理信息系统及其在动物空间行为研究中的应用

空间属性是动物行为的重要特征,也是行为生态学研究中必须要面对的难题之一.地理信息系统(Geographic Information System,GIS)具有强大的空间分析功能,它在动物行为生态学研究中得到了越来越广泛的应用,如生境选择、领域分析、迁徙路线、活动节律等.本文较系统地阐述了GIS的原理以及在行为生态学研究中所涉及的基本概念和原理,对近年来利用GIS进行的行为生态学研究做了回顾和总结,并对其未来的发展进行了展望.

基于等高线的黄土高原小流域地形虚拟

黄土高原地形三维虚拟是"数字黄土高原"的基础,可为区域水土保持生态建设提供科技支撑。针对直接在地理信息系统软件中观察三维场景存在的控制交互能力不足问题,提出综合利用地理信息系统软件的地形插值算法,基于MFC框架下的OpenGL程序设计的思路,实现地形的真实感三维虚拟。以黄土丘陵沟壑区康家沟小流域为例,等高线数据在AutoCAD和ArcView软件中处理,生成ASCII格式的规则网格DEM数据,依据它们绘制三角形带,采用加权平均法求得各点的法向量,设置光照与材质模式,添加动态天空背景,实现了该流域地形的真实感三维虚拟,并增加交互能力,完成自由漫游与多角度观察。

云南西北部四县林地的分布和受威胁程度评价以及该地区鸡形目鸟类的保护状况分析

横断山区拥有独特的生物区系和丰富的生物多样性，成为研究生物和地学许 多重大理论问题的关键性区域。然而该地区复杂的高山峡谷地形不利于大范围实 地考察工作的开展，而传统的调查方法也较难直接地获取野生动物及其生境的一 些量化数据，如某种或某类生物元素的分布、变化情况以及保护状况等，因此长 期以来对于该地区保护网络的规划和管理效果一直缺乏系统地评价，保护工作的 进一步开展依然面临很多难题。近年来地理信息系统（Geographic Information System, GIS）和遥感技术（Remote Sensing, RS）已经广泛应用于野生动物及其 生境保护的各个方面，为横断山区的保护工作拓展了新的研究思路和方法借鉴。 本研究以位于云南西北部横断山区的四个县（德钦、维西、丽江、香格里拉） 作为核心研究地区，以野生动物的主要栖息地——林地为对象，借助RS 和GIS 手段研究该地区内林地的分布、变化以及受威胁程度；并针对鸡形目鸟类的保护 状况进行了分析，为该地区林地和鸡形目鸟类的保护及评价提供科学的方法指导 和建议。具体如下： （1）林地分布以及针叶林的进一步细分。在地面真实数据的辅助下，通过 对Landsat TM/TM+影像的预处理、分类、分类后处理等过程，将研究地区中的 林地与非林地进行划分；针对暖温性针叶林和寒温性针叶林这两种较难区分的类 别，采用导引聚类（guided clustering）的分类方法，进一步对针叶林进行细分。 精度评估的结果显示，林地与非林地的划分总体精度为94.3%，而针叶林细分为 暖温性针叶林和寒温性针叶林的总体精度为74.8%。该方法可以较为准确地划分 该地区不同的生境类型，为野生动物及其生境的保护奠定基础。（2）林地的受威胁程度评价。通过分析研究地区中的林地在40 多年时间跨 度里（1958-2001 年）的变化情况和保护现状，从而评价其受威胁程度，结果反 映出每个县的林地面积都有不同程度的减少，丽江和香格里拉这两个县的林地受 威胁程度相对较高。进一步对丽江和香格里拉两县在不同海拔带的林地分布和变 化情况进行分析，结果表明，丽江的林地主要分布于2000-3500 米的海拔范围内 （占该县全部林地面积的89.7%），而在香格里拉则主要分布于2500 米以上（占 该县全部林地面积的95.2%）；在这两个林地分布较为集中的区域内，都是低海 拔地区林地面积减少程度较高，意味着在开展保护工作时应重点关注这两个县的 低海拔林地。本研究方法可供整个横断山区乃至其他高山峡谷地区借鉴，为保护 网络的完善提供快速的量化参考。 （3）鸡形目鸟类的保护状况分析。借助RS 和GIS 手段描绘研究地区中当 前林地（2001 年左右）以及早期林地（1958 年前后）的分布，针对那些主要以 林地为生境的鸡形目鸟类，在相应限制因子（例如海拔数据）的辅助下对它们当 前和过去的潜在生境进行预测，从而分析它们的保护现状和生境的变化情况。结 果表明研究地区中现有的保护区对这些鸟类的保护尚不完善，并且在过去40 多 年的时间跨度里它们的潜在生境都有不同程度的退化。建议将来的保护工作优先 考虑那些在当前未被充分保护的物种以及潜在生境退化程度相对较高的物种。针 对这些物种，提出在将来的进一步保护工作中的一些建议，为整个横断山区鸡形 目鸟类乃至其他野生动物类群的保护提供参考。

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。

Information system for ICP-AES in Windows environment

An information system for inductively coupled plasma atomic emission spectrometry (TCP-BES) in MS Windows environment was developed based on the previous work in the laboratory. The system contains the data of about 28 000 spectral lines and a function of ICP spectral simulation,so it would be very helpful for line selection. The system also contains the Kalman filter and factor analysis programmes written with MS Visual Basic(version 4.0), which can be used for spectral interference correction and peak position optimization. A large amount of real spectral scanning data of rare earth elements were included in the system for user's references. All these characteristics made the system more useful and practical.

A new topological index for the Changchun institute of applied chemistry C-13 NMR information system

A method to assign a single number representation for each atom (node) in a molecular graph, Atomic IDentification (AID) number, is proposed based on the counts of weighted paths terminated on that atom. Then, a new topological index, Molecular IDentification (MID) number is developed from AID. The MID is tested systematically, over half a million of structures are examined, and MID shows high discrimination for various structural isomers. Thus it can be used for documentation in the Changchun Institute of Chemistry C-13 NMR information system.

CIAC COMPREHENSIVE INFORMATION-SYSTEM OF RARE-EARTHS

The CIAC (Changchun Institute of Applied Chemistry) Comprehensive information System of Rare Earths is composed of three subsystems, namely, extraction data, physicochemical properties, and reference data. This paper describes the databases pertaining to the extraction of rare earths and their physicochemical properties and discusses the relationships between data retrieval and optimization and between the structures of the extractants and the efficiency with which they are extracted. Expert systems for rare earth extraction and calculation of thermodynamic parameters are described, and an application of pattern recognition to the problems of classification of compounds of the rare earths and prediction of their properties is reported.

龙滩水电站左岸边坡监测信息系统研制及其监测资料分析

Guangxi Longtan Hydropower Station is not only a representative project of West Developing and Power Transmission from West to East in China, but also the second Hydropower Station to Three Gorges Project which is under construction in China. There are 770 X 104m3 creeping rock mass on the left bank slope in upper reaches, in which laid 9 water inlet tunnels and some underground plant buildings. Since the 435m high excavated slope threatens the security of the Dam, its deformation and stability is of great importance to the power station.Based on the Autodesk Map2004, Longtan Hydropower Station Monitoring Information System on Left Bank has been basically finished on the whole. Integrating the hydropower station monitoring information into Geographic Information System(GIS) environment, managers and engineers can dynamically gain the deformation information of the slop by query the symbols. By this means, designers can improve the correctness of analysis, and make a strategic and proper decision. Since the system is beneficial to effectively manage the monitoring-data, equitably save the cost of design and safe construction, and decrease the workload of the engineers, it is a successful application to the combination of hydropower station monitoring information management and computer information system technology.At the same time, on the basis of the geological analysis and rock mass toppling deformation and failure mechanism analysis of Longtan engineering left bank slope, the synthetic space-time analysis and influence factors analysis on the surface monitoring data and deep rock mass monitoring data of A-zone on left bank slope are carried on. It shows that the main intrinsic factor that effects the deformation of Zone A is the argillite limestone interbedding toppling structure, and its main external factors are rain and slope excavation. What's more, Degree of Reinforcement Demand(DRD) has been used to evaluate the slop reinforce effect of Zone A on left bank according to the Engineering Geomechanics-mate-Synthetics(EGMS). The result shows that the slop has been effective reinforced, and it is more stable after reinforce.At last, on the basis of contrasting with several forecast models, a synthetic forecast GRAV model has been presented and used to forecast the deformation of zone A on left bank in generating electricity period. The result indicates that GRAV model has good forecast precision, strong stability, and practical valuable reliability.

内蒙古锡林河流域空间生态学研究

本文从物种和景观两个组织水平上研究了气候、土壤、地形等自然环境因子和人类活动因子对生物空间分布格局的影响。基于锡林河流域地理信息系统各环境因子的专题数据，利用空间异质性分析方法研究了锡林河流域环境因子的空间分布格局;基于锡林河流域野外调查数据，运用空间异质性分析方法研究了重要物种的空间分布格局，并采用典范对应分析(Canomc Correspondence Analvsis，CCA)方法分析了物种分布与环境因子的关系：基于锡林河流域地理信息系统各环境因子的专题数据，研究了锡林河流域植被斑块的空间格局特征及其与环境因子的关系，并采用典范对应分析方法分析了植被类型组成与环境因子的关系：基于内蒙古草原生态系统定位研究站放牧样地的样方调查数据．采用空间异质性分析方法，研究了放牧压力对物种空间分布格局的影响：基于多年的卫星遥感数据，采用建模和对比等方法，研究了定居放牧方式下植被状况空间变化规律及植被状况时空变化与人类活动、社会经济发展的关系。通过上述分析，得到的主要结论如下： 1、锡林河流域各个环境因子都具有自己的空间特征尺度，共同形成多尺度等级体系，按特征尺度的大小可以分为如下3个组： ·小尺度组(15km左右)：有机暖、全N的较小的特征尺度 ·中尺度组(30～50km)：T1，碳酸钙含量．PER、全N和海拔高度的较小的特征尺度 ·大尺度组(100km左右)：ANNR，PER、全N和海拔高度的较大的特征尺度多尺度等级的生态学意义是它反映生态变量异质斑块的镶嵌和包含特征，环境因子多尺度等级体系反映共性，具有普遍性：反映生态关系，具有生态学意义。 2、对物种空间异质性的Mantel检验和半方差分析得到了一致的结果产即羊草、糙隐子草和星毛萎菱菜在锡林河流域的空间分布呈现随机特征，而大针茅和冷蒿则表现为十分显著的格局特征。按分布格局的显著程度从大到小排列为冷蒿>大针茅>星毛萎菱菜>糙隐子草>羊草。理论半方差图显示大针茅和冷蒿的空间自相关域分别为30．447公里和30公里。物种空间分布格局是受自然条件、人类活动以及它们自身的生理生态特征综合决定的，物种自身的生理生态特征决定了它们对外界环境变化的适应性反应机制，而自然与人类活动这两种因素在空间的交错配置决定了物种适应性反应的方向和程度，从而综合导致物种空间分布格局的形成。 3、对锡林河流域物种分布与环境因子关系的CCA分析和交叉半方差方法分析显示：1)气候因子(11个指标)、土壤性状因子(3个指标)和地形因子(3个指标)对物种分布的贡献率分别为11．2％、9．5％和11％，三者总和为31．7％。2)各个环境因子对物种分布空间作用方向具有一致性，物种分布与环境因子几乎都在135。和157．5。两个方向上具有相对明显的相关性，从锡林河流域来看，这两个方向反映了气候、土壤以及地形从东南往西北的变化梯度方向。 4、对锡林河流域14个植被景观指数进行的PCA分析表明，锡林河流域植被斑块空间分布的物理特征主要表现在斑块的数目和大小方面，其次是在斑块的多样性方面，并可将它们分为4个组，分别反映锡林河流域植被斑块的不同特征： ·第一组：NP、PRD、LPI、MPS、PSSD和TE，主要反映景观斑块在数量和大小方面的特征; ·第二组：SHDI、SIDI、SHEI和SIEI，主要反映景观斑块的多样性特征; ·第三组：PSCV和[J]．主要反映景观斑块之间的相互邻接程度; ·第四组：MSI和AWMSI，主要反映景观斑块的形状特征。 MPS和PSSD两个指数与环境因子无论是在相关系数的性质还是显著程度上都保持了很好的一致性，它们与纬度(LAT)及可能蒸散率(PER)呈极显著的正相关关系，而与经度(LNG)、海拔高度(ALT)、年平均降水量(ANNR)及土壤有机质含量(0RG)呈极显著的负相关关系：平均形状指数(MSI)只与LAT呈显著的正相关关系;多样性指数和扩散毗连指数与任何一个环境因子都没有表现出显著的相关性。 5、锡林河流域植被分布与环境因子的关系CCA排序方法分析表明，气候因子(11个指标)、土壤性状因子(3个指标)和地形因子(3个指标)对植被分布的贡献率分别为19.8%、11.1%和14.5%，三者总和为45.4％。环境因子在植被和物种两个水平上的贡献率表现了相似的特点，自然环境因子不能完全解释植被的空间分布，人类活动的影响应该受到重视。 6、放牧压力对物种空间分布格局的研究表明： ·牧压对温带典型草原物种的空间分布格局有明显的影响。随着牧云的增大，属于原生群落物种的羊草与大针茅空间分布的随机性减小，空间自相关尺度逐渐增大;而对于退化过程中的入侵物种冷蒿和星毛萎菱菜，其空间分布的随机性逐渐增大．空间自相关尺度也呈增大趋势。在牧压胁迫超过一定水平时，冷蒿空间分布的自相关尺度开始下降，而星毛萎菱菜的空间分布格局则表现出强烈的随机性。 ·物种空间格局的变化是反映群落演替过程较为稳定的特征，适用于不同放牧条件下 群落之间的比较。 7、利用遥感数据对人类活动对植被影响的研究表明： ·定居放牧方式下，NDVI随定居点距离的变化格局经历了3个阶段。第一阶段，草场处于原生阶段，NDVI不随距离变化;第二阶段，定居点附近开始局部退化，NDVI随距离增加而增大：第三阶段，退化区域扩大，NDVI不随距离变化。 ·在草场局部退化阶段，NDVI随距离的变化呈对数函数规律，定居点的放牧区具有放牧半径、原生NDVI值、NDVI变化率等特征。根据这些特征、NDVI对数规律以及NDVI与地上生物量的关系可以推测定居点的总载畜量。 ·锡林河流域从87年到85年NDVI值降低最大的区域为流域的中部和南部，这与这一区域人类活动强度以及社会经济发展具有密切关系。

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.

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.

海底金属矿床充水条件及矿坑突水的断层效应研究

The Xinli mine area of Sanshandao mine is adjacent to the Bohai Sea and its main exploitable ore deposit occurs in the undersea rock mass. The mine is the biggest undersea gold mine of China after production. The mine area faces a latent danger of water bursting, even sudden seawater inrush. There is no mature experience in undersea mining in China so far. The vein ore deposit is located in the lower wall of a fault; its possible groundwater sources mainly include bittern, Quaternary pore water and modern seawater. To ensure the safety of undersea mining, to survey the flooding conditions of the ore deposit using proper measures and study the potential seawater inrush pattern are the key technical problems. With the Xinli mine area as a case study, the engineering geological conditions of the Xinli mine area are surveyed in situ, the regional structural pattern and rock mass framework characteristics are found out, the distribution of the structural planes are modeled by a Monte Carlo method and the connectivity coefficients of rock mass structural planes are calculated. The regional hydro-geological conditions are analyzed and the in-situ hydro-geological investigation and sampling are performed in detail, the hydrochemistry and isotopes testing and groundwater dynamic monitoring are conducted, the recharge, runoff, discharge conditions are specified and the sources of flooding are distinguished. Some indices are selected from the testing results to calculate the proportion of each source in some water discharge points and in the whole water discharge of the Xinli mine area. The temporal and spatial variations of each water source of the whole ore deposit flooding are analyzed. According to the special project conditions in the Xinli mine area, the permeability coefficient tensors of the rock mass in Xinli mine area are calculated based on a fracture geometry measurement method, in terms of the connectivity and a few hydraulic testing results, a modified synthetic permeability coefficient are calculated. The hydro-geological conceptual and mathematical model are established，the water yield of mine is predicted using Visual Modflow code. The spreading law of surrounding rock mass deformation and secondary stress are studied by numerical analysis; the intrinsic mechanism of the faults slip caused by the excavation of ore deposit is analyzed. The results show that the development of surrounding rock mass deformation and secondary stress of vein ore deposit in the lower wall of a fault, is different from that in a thick-big ore deposit. The secondary stress caused by the excavation of vein ore deposit in the lower wall of a fault, is mainly distributed in the upper wall of the fault, one surface subsidence center will occur. The influences of fault on the rock mass movement, secondary stress and hydro-geological structures are analyzed; the secondary stress is blocked by the fault and the tensile stress concentration occurs in the rock mass near the fault, the original water blocking structure is destructed and the permeable structure is reconstructed, the primary structural planes begin to expand and newborn fissures occur, so the permeability of the original permeable structure is greatly enhanced, so the water bursting will probably occur. Based on this knowledge, the possible water inrush pattern and position of the Xinli mine area are predicted. Some computer programs are developed using object-oriented design method under the development platform Visual Studio.Net. These programs include a Monte Carlo simulation procedure, a joint diagrammatizing procedure, a structural planes connectivity coefficient calculating procedure, a permeability tensor calculating procedure, a water chemical formula edit and water source fixture conditions calculating procedure. A new computer mapping algorithm of joint iso-density diagram is raised. Based on the powerful spatial data management and icon functions of Geographic Information System, the pit water discharge dynamic monitoring data management information systems are established with ArcView.

地理信息系统支持下的滑坡灾害空间分析预测-以云南小江流域为例

As a typical geological and environmental hazard, landslide has been causing more and more property and life losses. However, to predict its accurate occurring time is very difficult or even impossible due to landslide's complex nature. It has been realized that it is not a good solution to spend a lot of money to treat with and prevent landslide. The research trend is to study landslide's spatial distribution and predict its potential hazard zone under certain region and certain conditions. GIS(Geographical Information System) is a power tools for data management, spatial analysis based on reasonable spatial models and visualization. It is new and potential study field to do landslide hazard analysis and prediction based on GIS. This paper systematically studies the theory and methods for GIS based landslide hazard analysis. On the basis of project "Mountainous hazard study-landslide and debris flows" supported by Chinese Academy of Sciences and the former study foundation, this paper carries out model research, application, verification and model result analysis. The occurrence of landslide has its triggering factors. Landslide has its special landform and topographical feature which can be identify from field work and remote sensing image (aerial photo). Historical record of landslide is the key to predict the future behaviors of landslide. These are bases for landslide spatial data base construction. Based on the plenty of literatures reviews, the concept framework of model integration and unit combinations is formed. Two types of model, CF multiple regression model and landslide stability and hydrological distribution coupled model are bought forward. CF multiple regression model comes form statistics and possibility theory based on data. Data itself contains the uncertainty and random nature of landslide hazard, so it can be seen as a good method to study and understand landslide's complex feature and mechanics. CF multiple regression model integrates CF (landslide Certainty Factor) and multiple regression prediction model. CF can easily treat with the problems of data quantifying and combination of heteroecious data types. The combination of CF can assist to determine key landslide triggering factors which are then inputted into multiple regression model. CF regression model can provide better prediction results than traditional model. The process of landslide can be described and modeled by suitable physical and mechanical model. Landslide stability and hydrological distribution coupled model is such a physical deterministic model that can be easily used for landslide hazard analysis and prediction. It couples the general limit equilibrium method and hydrological distribution model based on DEM, and can be used as a effective approach to predict the occurrence of landslide under different precipitation conditions as well as landslide mechanics research. It can not only explain pre-existed landslides, but also predict the potential hazard region with environmental conditions changes. Finally, this paper carries out landslide hazard analysis and prediction in Yunnan Xiaojiang watershed, including landslide hazard sensitivity analysis and regression prediction model based on selected key factors, determining the relationship between landslide occurrence possibility and triggering factors. The result of landslide hazard analysis and prediction by coupled model is discussed in details. On the basis of model verification and validation, the modeling results are showing high accuracy and good applying potential in landslide research.