基于GIS的供电台区经营综合评价

探讨了运用GIS技术对供电台区经营综合评价的实现方法,选取了业务属性和空间属性两个方面评价因子,介绍了从系统软硬件、评价实现过程及显示结果等方面评价过程的具体技术实现。     

乌江下游沿岸滑坡发育特征

乌江是黔东北和渝东南少数民族地区与外界联系的一条水上黄金通道。担负了流域内80％以上的客货运输量。满足了沿岸2000多万人民生产和生活必需品运输的需要。乌江下游的彭水县城至涪陵市是乌江进入长江航运的咽喉要道，沿岸广泛分布和频繁发生的滑坡严重地威胁着航运的安全。通过现场调查发现，在长约150km范围内，两岸共发育各类滑坡28个，发育线模数为0．187个／km。沿岸滑坡发育形式主要为岩石顺层滑坡和风化堆积层滑坡。沿岸滑坡具有群发性的分布特征，与地层岩性和河谷岸坡类型等密切相关。岩石顺层滑坡主要集中分布在顺向岸坡软、硬岩层相间地段。风化堆积层滑坡则主要分布在软岩地层及其风化物堆积的岸坡地段。构造变动、河流的切蚀作用及人类活动是滑坡发育形成的主要原因，暴雨和长时间降雨是滑坡发生的重要诱发因素。目前，多数滑坡处于稳定状态，少数滑坡受降雨及江水涨落的影响而处于周期性蠕动变形状态。三峡水库蓄水后，部分滑坡有复活的可能。     

福建省滨海火电厂地质灾害问题及风险控制探讨

滨海火力发电厂工程主要包括厂区建筑、码头、管道、取排水、填海和贮灰场等工程。其主要面临着福建省海岸带构造运动、断裂及地震活动、港湾淤积、海底滑坡、软土地基、海底活动地貌、基岩不均匀风化以及人类工程活动等主要的灾害性地质因素。通过对这些因素潜在的致灾特点分析，提出了滨海火电厂地质灾害风险控制应包括选址阶段地质灾害风险回避、设计施工阶段地质灾害风险处理及运行阶段地质灾害风险监控等3方面。地质灾害风险评估是滨海火电厂地质灾害风险控制的首要任务。针对滨海电厂工程的特点，评估内容应着重于地质灾害危险性评估及易损性评估。选址阶段地质灾害风险回避主要是对构造不稳定的回避。地质灾害风险处理主要是电厂工程的基础处理及管道抗冲刷处理。电厂运行阶段地质灾害风险监控主要是对建筑物基础稳定性及海域冲淤变化的监控。     

年度考核现状分析及改进对策

通过对现行年度考核体系的现状分析，着重探讨如何改进考核办法，充实考核内容，建立科学有效的考评体系，提高考核效率，充分发挥年度考核结果在干部选拔、薪酬福利、培训开发、人员招聘和配置、个人职业生涯发展中的重大作用。     

区域水资源可持续利用的综合评价方法

水资源可持续利用指标体系及评价方法是水资源可持续利用研究的核心问题之一。以复合系统理论为基础,将水资源、社会经济和环境组成的复合系统定义为水资源可持续利用系统(RSWRS系统)。应用Bossel可持续发展基本定向指标框架,建立了水资源可持续利用指标评价体系。应用系统综合评价法,权重采用基于Bossel评分标准,以参考状态的离差平方和最大法计算,建立了以RSWRS系统发展综合指数和发展态势度量模型。以陕西省为例,进行了水资源可持续利用的综合定量评价。     

WAFS产品中GRIB资料中国区产品评估

为了给使用WAFS产品的用户提供量化参考依据，选取WAFS产品中常用区域和层次的GRIB数据，利用由国家气象中心提供的风、温客观分析网格点资料，与WAFS中同时刻的预报场产品（风、温网格点资料），用均方根误差进行数字化形式分析比较。结果表明：WAFS提供的风、温预报，通常是短时效的风、温预报比长时效的风、温预报更接近客观分析场；低层的预报比高层的预报更接近客观分析场；风的预报以v矢量的预报优于u矢量的预报；风的误差主要来源于u矢量的误差。     

基于遥感和GIS的选址策略研究与实现

以某地新建化工厂选址为例,详细介绍了基于遥感和GIS的工程项目选址建模方法。该方法通过遥感获得地物的空间属性和类别特征,通过GIS的缓冲区分析、再分类、栅格叠加、归组、面积计算等空间分析与统计方法实现满足多个条件的目标区块的提取。作为选址模型的具体实现,以遥感和GIS分析软件为依托,规划出了某地适宜兴建化工厂的区块,实施了化工厂选址的遥感和GIS辅助决策。     

Quality Assessment Of Digital Surface Models Generated From IKONOS Imagery

The growing applications of digital surface models (DSMs) for object detection, segmentation and representation of terrestrial landscapes have provided impetus for further automation of 3D spatial information extraction processes. While new technologies such as lidar are available for almost instant DSM generation, the use of stereoscopic high-resolution satellite imagery (HRSI), coupled with image matching, affords cost-effective measurement of surface topography over large coverage areas. This investigation explores the potential of IKONOS Geo stereo imagery for producing DSMs using an alternative sensor orientation model, namely bias-corrected rational polynomial coefficients (RPCs), and a hybrid image-matching algorithm. To serve both as a reference surface and a basis for comparison, a lidar DSM was employed in the Hobart testfield, a region of differing terrain types and slope. In order to take topographic variation within the modelled surface into account, the lidar strip was divided into separate sub-areas representing differing land cover types. It is shown that over topographically diverse areas, heighting accuracy to better than 3 pixels can be readily achieved. Results improve markedly in feature-rich open and relatively flat terrain, with sub-pixel accuracy being achieved at check points surveyed using the global positioning system (GPS). This assessment demonstrates that the outlook for DSM generation from HRSI is very promising.     

A multidisciplinary multi-scale framework for assessing vulnerabilities to global change

Terrestrial ecosystems provide a number of vital services for people and society, such as food, fibre, water resources, carbon sequestration, and recreation. The future capability of ecosystems to provide these services is determined by changes in socio-economic factors, land use, atmospheric composition, and climate. Most impact assessments do not quantify the vulnerability of ecosystems and ecosystem services under such environmental change. They cannot answer important policy-relevant questions such as 'Which are the main regions or sectors that are most vulnerable to global change?’ 'How do the vulnerabilities of two regions compare?’ 'Which scenario is the least harmful for a sector?’This paper describes a new approach to vulnerability assessment developed by the Advanced Terrestrial Ecosystem Analysis and Modelling (ATEAM) project. Different ecosystem models, covering biodiversity, agriculture, forestry, hydrology, and carbon sequestration are fed with the same Intergovernmental Panel on Climate Change (IPCC) scenarios based on the Special Report on Emissions Scenarios (SRES). Each model gives insights into specific ecosystems, as in traditional impact assessments. Moreover, by integrating the results in a vulnerability assessment, the policy-relevant questions listed above can also be addressed. A statistically derived European environmental stratification forms a key element in the vulnerability assessment. By linking it to other quantitative environmental stratifications, comparisons can be made using data from different assessments and spatial scales.     

工程场地的特征与工程地质分区

工程场地与城市在空间尺度上相去甚远 ,但工程场地所具备的与环境行为相近的共性 ,使其属性分析可以推广应用到城市建设所面对的整个工程地质环境。从这一意义上说 ,工程场地是整个城市宏观工程地质环境的微观单元 ,众多微观单元的组合构成了环境的宏观总体。为此 ,工程场地的三大属性特性、适宜性、稳定性 ,可以作为城市工程地质环境分析中分析方法的基础。从工程场地分析推广到城市工程地质环境分析 ,还将有助于保证城市工程地质环境分析的定量化水平。