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几何与语义统一的区域地质构造GIS数据模型

发布时间:2018-11-28 15:13
【摘要】:随着GIS在地质中的应用,地质GIS数据模型在几何描述与表达方面日趋完善,但是对地质构造现象的语义描述与表达却较为有限,制约了地质研究者对地质GIS地理解与应用。为了增强地质GIS数据模型中的语义信息,本文采用面向对象的方法,通过地质对象来统一描述和表达地质构造现象的几何与语义特征,设计了几何与语义统一的区域地质构造GIS数据模型。本文设计了基于"词汇概念-名词解释-几何图例"的地质构造现象的语义三角描述方法。依据区域地质构造的语义特征,采用线性分类法将区域地质构造现象划分为3个大类、10个中类和33个小类,在此基础上定义了地质构造现象的基本要素集和要素类,并基于地质对象之间的几何和语义关系,建立了区域地质构造现象要素的基本几何网络。采用ArcGIS Diagrammer Geodatabase建模工具,构建了几何与语义统一的地质GIS数据模型。最后,以宁镇山脉区域地质构造现象为例对该数据模型进行了试验验证,结果表明该模型具有较好的实用性。
[Abstract]:With the application of GIS in geology, geological GIS data model is becoming more and more perfect in geometric description and representation, but the semantic description and representation of geological structural phenomena is limited, which restricts geological researchers' understanding and application of geological GIS. In order to enhance the semantic information in the geological GIS data model, this paper uses the object-oriented method to describe and express the geometric and semantic features of geological structural phenomena through geological objects. The GIS data model of regional geological structure is designed with the unification of geometry and semantics. In this paper, a semantic triangular description method of geological structural phenomena based on "lexical concept-noun explanation-geometric legend" is designed. According to the semantic characteristics of regional geological structures, the regional geological structural phenomena are divided into 3 categories, 10 middle classes and 33 subclasses by linear classification. On this basis, the basic element sets and essential categories of geological structural phenomena are defined. Based on the geometric and semantic relations between geological objects, the basic geometric network of regional geological structural phenomena is established. The geological GIS data model with the unity of geometry and semantics is constructed by using ArcGIS Diagrammer Geodatabase modeling tool. Finally, taking the regional geological structure phenomenon of Ningzhen Mountains as an example, the data model is tested and verified, and the results show that the model has good practicability.
【作者单位】: 安徽农业大学资源与环境学院;南京师范大学虚拟地理环境教育部重点实验室;江苏省地理环境演化国家重点实验室培育建设点;江苏省地理信息资源开发与利用协同创新中心;
【基金】:国家自然科学基金(41601412;41571400) 安徽省高校自然科学研究重点项目(KJ2016A222) 安徽农业大学科研启动基金(yj2015-22) 江苏高校优势学科建设工程资助项目(164320H116)~~
【分类号】:P208;P548


本文编号:2363245

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