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数字黑河的思考与实践3:模型集成 总被引：3，自引：0，他引：3
介绍了"数字黑河"模型集成研究的进展.①流域科学研究中的模型集成由发展流域集成模型和建模环境这2个主题所构成,前者可概括为"水-土-气-生-人"集成模型,后者是支持集成模型的高效开发的软件工具,注重于应用先进的信息技术为建模提供支撑.②将模型集成分为知识途径和技术途径,讨论了建模环境在模型集成中的作用,以及科学模型和流域管理模型的关系.③回顾了黑河流域模型集成的总体目标是发展两种类型的集成模型,其中第一种回应科学目标,是地球系统模型在流域尺度上的具体体现,以建成能够综合反映流域水文-生态-经济相互作用的模型为标志;第二种集成模型回应管理目标,以建成空间显式的流域水资源决策支持系统为目标.④对黑河流域已有的水文、地下水、水资源、陆面过程、土地利用、生态、社会经济与生态经济建模工作做了系统的综述.⑤分析了黑河流域集成模型研究中存在的问题和所面临的挑战. 相似文献
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干旱区流域水资源集成管理的基础理论与创新思路 总被引：3，自引：1，他引：2
水资源被公认是21世纪最稀缺的资源,也是制约一个国家或地区环境与经济社会可持续发展的重要战略性资源.我国当前面临的严重水环境污染、水资源短缺和用水效率低下的问题,很大程度上归咎于缺乏一种能有效促进水资源高效配置和合理利用的水管理制度、机制与水文化体系.因此,上述水问题的解决在很大程度上依赖于能否构建一种符合中国国情、并能反映先进生态水文化及促进水资源高效和安全利用的水管理制度和模式.国内外水资源管理制度改革的经验表明,促进传统的以行政区域为单元、以政府为主导的水资源管理模式向以流域为单元、以市场为主导的现代水资源管理模式的转变,是实现我国流域生态环境和经济社会协调与可持续发展的重要途径.本文重点探讨了内陆干旱区流域水资源集成管理的基础理论及其创新发展的方向和基本思路,旨在为促进我国全面实施流域水资源综合集成管理的战略提供理论依据. 相似文献
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工程地质学工作大多涉及系统工程问题,综合集成应是必需的技术路线.多元知识,即多学科的综合集成道路已得到普遍共识.作者提出,工程地质学需要发展大成综合理论,即多源知识的综合集成.钱学森在研究复杂巨系统中考虑到推理、经验和实测信息的集成,并称之为大成综合(Meta-Synthesis).本文从工程地质实践出发,指出大成综合... 相似文献
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知识图谱作为当前最有效的知识组织和服务方式，已经成为人工智能的基石，在语义搜索、机器翻译、信息推荐等方面得到了广泛的应用。大数据时代下，地球科学（以下简称地学）分散、多源、异构数据的整合集成、挖掘分析及其知识的智能发现等迫切需要知识图谱的支撑。为了促进地学知识图谱的建设与应用，自2019年启动以来，“深时数字地球国际大科学计划”（Deep-time Digital Earth,简称DDE）就将知识图谱作为其重要的研究建设内容，经过3年多的建设，DDE已经建设形成了大量的地学知识图谱，亟需一站式共享这些知识图谱。文章首先介绍了DDE知识图谱内容体系，分析了DDE知识图谱内容组成及其特征；在此基础上，开展了地学知识图谱一站式共享服务系统的设计，包括系统功能体系和架构的设计；最后介绍了系统实现的技术路线及其关键技术。实践证明系统可有效实现DDE知识图谱的一站式共享服务，可为类似的知识共享服务系统提供参考。 相似文献
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地下工程具有复杂性和不确定性的特点,大型洞室群施工反馈分析需要综合经验知识、统计分析和数值模拟等多种手段。在介绍反馈分析流程和多种反馈分析方法基础上,提出的包括数据库、知识库、模型库和推理机的IDSS框架的反馈分析的集成智能系统,并基于PB和VC++平台进行了程序的初步开发。通过在水布垭电站地下厂房的施工反馈分析中应用表明,该系统模式和开发策略是可行的。 相似文献
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成熟勘探的矿集区非常有必要开展新一轮的找矿，但矿床模式的局限和大埋藏深度等困难制约了这些地区的预测性找矿发现。促进其预测性找矿发现的关键战略包括：勘查模型的创新、勘查技术的创新和各种信息的综合集成预测。勘查模型的创新必须包含基于地球动力学剖析的新成矿概念，动力学数值模拟是有效的创新手段之一；勘查技术创新的主要目的是加大探测深度和提高探测与解释的准确性，必须以详细可靠的地质资料为基础；综合信息集成是利用GIS和知识驱动及数据驱动的方法充分提取各种数据中的有用信息，集成为更加可靠的预测图。在这种思想的指导下，我们在铜陵凤凰山矿田进行了预测和勘查，并成功地发现了深部的隐伏矿床。 相似文献
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Interoperability is becoming essential for the today’s geographic information systems. Geographic information is usually available as datasets stored in databases and accessible via GIS. However, these information sources are increasingly heterogeneous and show differences in data formats, database schema and object concepts. To satisfy the increased demand for the use and sharing of geographic data in common applications, considering the heterogeneity and the methods to support interoperability are required by the GIS community. The implementation of Spatial Data Infrastructure (SDI) such as the European INSPIRE (Infrastructure for Spatial Information in the European Community) enables accessibility and the sharing of geographic data and interoperability among the systems. In addition to this, traditional GIS systems perform spatial queries using a keyword-based method. However, this approach remains incapable of fully expressing the users' needs due to a lack of geographic concepts (semantics) in the dataset. Different terms may refer to similar concepts, while the same terms may refer to different concepts. This causes semantic heterogeneity in the dataset. In this context, the most promising approach is the implementation of geospatial semantics by means of ontology in the geospatial dataset to overcome this kind of ambiguity. The aim of this research is to investigate the implementation of INSPIRE as a SDI standard and the use of Semantic Technology to empower the traditional GIS approach. In this regard, a public transportation geoportal has been developed for the experimental investigation which uses a revised sample transportation data complaint with the INSPIRE Transport Network Data Theme and a developed Transportation Ontology Domain, including concepts, relationships and individuals to provide a semantic spatial search. 相似文献
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GIS通常包含各种大量的空间信息,空间数据索引的建立有利于提高空间数据的存储、检索效率。因此,对空间数据索引模型的研究具有重要的现实意义。OracleSpatial的R-树和四叉树是索引两种空间数据索引模型和空间数据双层查询模型。在Oracle8i对象关系型的数据库管理系统中,通过空间数据和属性数据的有效结合,利用OracleSpatial提供R-树和四叉树两种空间索引方式,可实现GIS中空间数据索引、检索功能,保证了空间数据查询的快速性和准确性。 相似文献
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地南空间信息系统是地质空间信息管理及分析处理的工具。本文提出了一个基于分布式系统的地人间信息系统的框架模型,包括三维空间数据生成和管理,模型化数据对象管理及多媒体数据存储查询,模糊处理,专家系统等功能。 相似文献
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时态GIS的基本概念、功能及实现方法 总被引：45，自引：0，他引：45
数据在具有空间性的同时亦具有时间性, 时态地理信息系统是具备处理数据时间性功能的地理信息系统.简要介绍了时态GIS中的时间、时间粒度、时间戳、应答时间等基本概念及其分析、更新、显示等功能, 以及时空数据表示、不确定性、多标度等时态GIS的相关问题. 重点讨论了时态GIS的2个基本数据模型: 关系模型和面向对象模型.关系模型具有语义丰富、理论完善、高效灵活等特点, 从而使人们开始尝试在关系模型中加入时间维, 并利用关系代数和查询语言来处理时态数据, 关系模型包括归档保存、时间片、记录级时间戳等实现方法.面向对象模型提供了聚合、关联等机制, 易于支持时态GIS中的各种时空数据, 面向对象模型包括OSAM/T模型和Inith OO模型等. 相似文献
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Carlos Moreira Souza Jr. Kátia Pereira Victor Lins Sanae Haiashy Daniel Souza 《Earth Science Informatics》2009,2(4):205-215
A web GIS (WGIS) system for the Brazilian Amazon, named ImazonGeo and based on open source and public domain data, is presented.
ImazonGeo was built following three principles. First, the system is based on Spatial Data Infrastructure architecture and
web interface built using free software and public domain data. Second, we went beyond visualization of maps and spatial queries
by providing information obtained with spatial analysis models. To do that, we designed a database that stores the results
of previously defined spatial analyses and developed customized reports and query tools to facilitate fast access of information
by end-users. Finally, the system is application-oriented in the areas of forest monitoring, conservation and forest law enforcement,
meaning that it aims to contribute to support the protection of Brazilian Amazon forests. We illustrate these principles by
presenting ImazonGeo’s technology, architecture, content and tools. Moreover, we present two successful cases to demonstrate
how the system is being used. We conclude the paper discussing the challenges and potential solutions to turning our WGIS-SDI
system into an internet hub of geo-information about the Brazilian Amazon. 相似文献
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A Survey of the Spatio-Temporal Data Model 总被引：1，自引：0，他引：1
Traditional GIS(Geographic Information System)mostly can only describe the transient state data and does not have the ability to deal with the temporal dynamic data. When the data changes, new data will take the place of the old data, namely the transient state change into another, and the old data will disappear. Therefore, it is unable to make an analysis of the updating changes of the data and predict the development trend of the future. In this case, TGIS (Temporal Geographic Information System) emerges and expands the time dimension on the basis of traditional GIS. Spatio-temporal data model is the key to TGIS. Spatio-temporal data modeling is not only related to dynamic expression of spatio-temporal objects, but also gives an important support for spatio-temporal analysis and reasoning. This paper summarized the theories and applications status at home and abroad of spatio-temporal data model in detail, illustrated family tree of spatio-temporal data model for the nearly fifty years, discussed improvement and application status of Base State with Amendments Model, Event-based Spatio-temporal Data Model, Object-oriented Data Model and other spatio-temporal data models, and raised the existing problems of spatio-temporal data model. The current existing problems mainly includes: ①There are a lot of spatio-temporal data models put forward, but some of them only focus on semantic design and neglect the verified; ②Most of existing spatio-temporal data model are for vector data, only the Event-based Spatio-temporal Data Model is raster data structure; ③At present, the expression the time-space information of geographic entity is relative separated with spatio-temporal data model; ④Spatio-temporal data model is mainly used in cadastral management, land use and forestry data updating, less application in other fields. In the end, the future development direction was put forward of spatio-temporal data model. In the time of big data and “Internet plus”, it is necessary to explore the big data spatio-temporal data model that supports multiple data formats. 相似文献
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A spatial decision support system for extracting the core factors and thresholds for landslide susceptibility map 总被引：7，自引：0，他引：7
Spatial decision support system (SDSS) is an interactive, computer-based system designed to support a user in achieving a higher effectiveness of decision-making while solving a semi-structured spatial data. Satellite Remote Sensing and Digital Elevation Modeling are providing a systematic, rational framework for advancing scientific knowledge of our SDSS of geophysical phenomena that, often lead to observe the natural hazards or resources. Taking the advantage of these, more specifically, our study focused on using these to collect and measure the landslide data on a vast area located at Shei Pa National Park, Miao Li, Taiwan. Our source data includes (1) Digital Elevation Modeling is also used to investigate the landform, and (2) remote sensing image data are also employed to analyze the vegetation conditions. In addition, the process of generating landslide susceptibility maps involved on how to effectively extract the site-condition dominant attributes and thresholds for displaying the landslide occurrence accurately. Thus, the information from landslide must be categorized and thoroughly evaluated by an Advanced Data Mining Technique — Entropy-based classification method to construct the landslide knowledge rules. The knowledge scope with regards to core factors and thresholds are solved. Then, the susceptibility hazard maps are drawn and verifications are made. On the other hand, the conventional statistical method of Logistic Regression is used for comparison. 相似文献
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基于空间信息网格（SIG）的矿产资源评价 总被引：2，自引：0，他引：2
随着GIS的普及和深化,空间信息的大数据量、高复杂性和难共享的问题对其研究和应用提出了新的挑战.空间信息网格(Spatial Information Grid,SIG)作为创新性的网络空间信息基础设施和技术体系,为解决这些问题提供了新的契机.本文在给出SIG基本定义和基本特征的基础上,就如何实现基于SIG的矿产资源评价进行了有益的探索和实践,并取得了很好的效果,为矿产资源评价提供了新的方法和思路. 相似文献