用层次分析法决策地下水库回灌方案的排序问题

本文引用了一种新的系统分析方法(层次分析法)对地下水库人工回灌的复杂系统进行了择优排序研究,取得了满意的结果。实践证明,层次分析法对于地下水库人工回灌方案的择优是一种简捷实用的决策方法。     

A framework of region-based spatial relations for non-overlapping features and its application in object based image analysis

Object based image analysis (OBIA) is an approach increasingly used in classifying high spatial resolution remote sensing images. Object based image classifiers first segment an image into objects (or image segments), and then classify these objects based on their attributes and spatial relations. Numerous algorithms exist for the first step of the OBIA process, i.e. image segmentation. However, less research has been conducted on the object classification part of OBIA, in particular the spatial relations between objects that are commonly used to construct rules for classifying image objects and refining classification results. In this paper, we establish a context where objects are areal (not points or lines) and non-overlapping (we call this “single-valued” space), and propose a framework of binary spatial relations between segmented objects to aid in object classification. In this framework, scale-dependent “line-like objects” and “point-like objects” are identified from areal objects based on their shapes. Generally, disjoint and meet are the only two possible topological relations between two non-overlapping areal objects. However, a number of quasi- topological relations can be defined when the shapes of the objects involved are considered. Some of these relations are fuzzy and thus quantitatively defined. In addition, we define the concepts of line-like objects (e.g. roads) and point-like objects (e.g. wells), and develop the relations between two line-like objects or two point-like objects. For completeness, cardinal direction relations and distance relations are also introduced in the proposed context. Finally, we implement the framework to extract roads and moving vehicles from an aerial photo. The promising results suggest that our methods can be a valuable tool in defining rules for object based image analysis.     

基于AHP和BP神经网络的深部地热水可持续开发能力评价

采用资料完整性、开采潜力、回灌量、平均水压下降速率、地面沉降速率、水温、水质、地热井布局8项指标构建天津地热可持续开发能力评价指标体系;运用层次分析法确定了各项指标的权重,建立起评价因素集和评语集,给出了归一化数值;建立了天津地热可持续开发能力的BP神经网络模型,以层次分析法得出的结果作为样本,对BP网络进行了训练和测试,实例评价结果表明了AHP和BP神经网络方法的可行性,为地热资源的可持续开发能力评价提供了一种新的评价方法。     

层次分析法(AHP)在三江平原地质环境质量评价中的应用

应用层次分析法(AHP)对影响三江平原环境地质质量的岩石、土壤和水3个子系统分别进行评价，通过分析影响各子系统的主要因子，建立子系统层次结构模型和质量指数数学模型，得出各子系统的质量指数，从而评价出各个子系统的质量状况。在此基础上，建立地质环境系统质量评价的层次结构模型和数学模型，计算出地质环境质量指数，并对该地区的质量状况进行评价，得出三江地区总体环境地质状况是好的结论。     

'In the shadow of hierarchy': meta-governance, policy reform and urban regeneration in the West Midlands

This paper explores the relationship between political hierarchy and the complex webs of political organization associated with urban governance. Deploying the concept of meta-governance and a study of urban policy reform in the West Midlands region of England, this paper claims that state and governmental hierarchies continue to have a crucial role in coordinating the activities of governance regimes in the UK. This paper concludes by considering the effects of hierarchical power on the systems of political participation and representation that are associated with urban governance.     

层次分析法在太行山区地质灾害危险性分区中的应用

层次分析方法是一种定性与定量相结合的多目标决策分析方法。是解决类似地质环境问题的这种目标结构复杂且又缺乏系统资料的研究问题的一条有效途径。地质灾害的发生与其所处的背景条件密切相关。当一种地质灾害具备了产生的内在条件并与适当的外在诱发条件相结合，即构成它产生的充分必要条件。否则，它具有一定的潜在危害性。论文采用层次分析法通过对河北省太行山地区地质灾害主要影响因素的分析，以滑坡、泥石流、崩塌、水土流失等为计算样本。计算出各地质灾害影响因素对计算样本的影响权重，并通过计算机进行网络剖分、因素叠加，计算出单位面积的单灾种评价指数和综合性评价指数，用以表征整个地区地质灾害的危险性。     

基于GIS和SD方法的社会经济发展与生态环境响应动态模拟预测研究

在着重于空间现象分析处理的GIS与动态模拟的SD方法结合的模式下，动态模拟预测了不同社会经济发展策略对生态环境的影响，揭示了生态经济系统社会经济发展与生态环境相互影响关系，为区域可持续发展提供决策支持服务。     

南京市农业资源开发效益的评估

根据南京市农业资源开发的有关资料，参照已有的研究成果，拟定了农业资源开发效益评估的指标体系，确定其仅重分配，分别对农业资源开发后的经济效益，生态效益，社会效益及综合效益进行了评估。所得结果，为南京市农业资源的进一步开发利用提供了依据。     

A patch hierarchy approach to modeling surface and subsurface hydrology in complex flood‐plain environments

Geomorphology interacts with surface‐ and ground‐water hydrology across multiple spatial scales. Nonetheless, hydrologic and hydrogeologic models are most commonly implemented at a single spatial scale. Using an existing hydrogeologic computer model, we implemented a simple hierarchical approach to modeling surface‐ and ground‐water hydrology in a complex geomorphic setting. We parameterized the model to simulate ground‐ and surface‐water ?ow patterns through a hierarchical, three‐dimensional, quantitative representation of an anabranched montane alluvial ?ood plain (the Nyack Flood Plain, Middle Fork Flathead River, Montana, USA). Comparison of model results to ?eld data showed that the model provided reasonable representations of spatial patterns of aquifer recharge and discharge, temporal patterns of ?ood‐water storage on the ?ood plain, and rates of ground‐water movement from the main river channel into a large lateral spring channel on the ?ood plain, and water table elevation in the alluvial aquifer. These results suggest that a hierarchical approach to modeling ground‐ and surface‐water hydrology can reproduce realistic patterns of surface‐ and ground‐water ?ux on alluvial ?ood plains, and therefore should provide an excellent ‘quantitative laboratory’ for studying complex interactions between geomorphology and hydrology at and across multiple spatial scales. Copyright © 2004 John Wiley & Sons, Ltd.     

附有物理量和气象条件约束的光学卫星国土观测有效覆盖率评估

传统光学卫星国土观测覆盖评估建立在卫星对地理想覆盖的基础上,并未考虑卫星存储、星地数据传输、观测时长等物理量及观测区域气象因素对于覆盖性能的影响。本文针对光学遥感卫星的国土观测需求.建立国土观测有效覆盖能力评估指标体系,根据卫星数据存储能力、星地数据传输能力、卫星单圈最大观测时长、卫星观测太阳高度角等性能参数,提出了基于物理性能约束下的有效覆盖计算方法。根据气象台站历年气象数据,提出了气象约束因子的计算方法。综合考虑卫星物理性能约束与观测区域气象约束,计算光学遥感卫星对地观测有效覆盖能力。最后根据专家设计的光学遥感卫星国土观测有效覆盖能力评估指标权重,利用层次分析法(AHP)评估光学遥感卫星系统对于国土观测的需求满足程度。试验结果表明,本文方法对于国土观测有效覆盖的估算和评价结果更加精确,更接近于国土观测的实际应用需求,为对地观测有效覆盖能力评估提供了一种更为精确的可行方案。