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海洋多源数据获取及基于多源数据的海域管理信息系统

Marine Multi-Source Spatial-Data Collection and Maritime Management Information System Based on Multi-Source Spatial-Data

【作者】 刘长东

【导师】 梁振林;

【作者基本信息】 中国海洋大学 , 增殖养殖工程, 2008, 博士

【摘要】 人类在探究海洋的过程中,获取了大量的数据,主要包括:遥感影像数据、浮标和调查船等的实测数据、渔业生产的实际记录数据等。海洋空间数据的多源性一方面表现为空间数据获取手段的多样性,如测量、调查、统计汇总、现有资料数字化、影像数据获取等,另一方面对于不同的空间数据采集方法和管理系统,空间数据也具有不同的存储、交换格式。不同的数据获取方式或数据表达方式,其数据格式存在较大的差异,如影像数据和矢量数据、DEM与图表等。这些问题无疑给多源空间数据的集成应用带来技术难度,但是,多源空间数据的集成应用为空间数据整合和更新、空间信息服务也带来了无可比拟的数据资源和信息资源优势。有鉴于此,本文提出了基于GIS组件的海洋多源数据集成方法,并开发了海洋多源数据无缝集成ActiveX组件,并把该组件应用于基于多源数据的海域管理信息系统中。利用此控件访问多源空间数据,开发者与数据提供者任务明晰,通过设计的数据访问控件接口,不同类别GIS系统提供的空间数据经由不同的数据中间件接收并转换为GIS无缝数据中的一块,既可快速、并行完成多源空间数据装载,又可后续通过扩充增加新的数据源。海洋功能区划的核心工作是海洋功能分区,即海洋功能区类型的确定。传统的海洋功能分区方法,主要是在收集大量资料的基础上,由专家凭经验进行判断,带有主观臆断性,缺乏有效的定量分析方法。海域的自然和社会属性包括的指标种类繁多,性质各异,有些指标是定量的,而有些指标是定性的,有些指标能精确表达,有些指标只能模糊描述。为了定量分析某个海域的条件是否适合于某种开发功能的要求,本文以模糊数学为基础,提出建立模糊综合评价模型来定量判断海洋功能区类型。应用此模型判断海洋功能区类型,需要GIS的空间分析功能,本文利用ArcGIS软件,采用模糊综合评价数学模型,对青岛市养殖功能区的划分进行了定量研究。本文论述了组件开发方式的优势,分析了海洋空间多源数据及属性数据的组织方式,应用GIS组件开发了基于多源数据的海域管理信息系统。系统集成了多源海洋数据,包括卫星遥感影像、海洋背景矢量数据、海洋功能分区数据、已登记的用海项目数据、多媒体数据、海洋环境信息等。同时系统还可以导入其它格式海洋空间信息及属性信息,如可以导入TIFF、GEO-TIFF、BMP、JPEG、IMG(Erdas)等格式的栅格数据,可以导入DGN、SDE、DWG、TAB、MIF、E00、SHP等格式的矢量数据,可以导入Oracle、SQL Server、Acess及Excel等数据库格式的属性数据。系统提供了信息浏览、信息查询、空间分析、海洋多源数据无缝集成、统计、报表自动生成、用海项目申请审批登记流程办公电子化与自动化等功能的同时,系统还实现了胶州湾污染物扩散模型动态演示。

【Abstract】 In the course of ocean exploration, a large amount of data is collected, which includes remote sensing image, buoy and cruise data, and data from fishing production. On the one hand, marine spatial-data are multi-sources due to the diversity of spatial data collection methods such as measuring, surveying, collecting from literature, and obtaining remote sensing data and so on. On the other hand, with regards to different data collection methods and management systems, spatial data is stored and exchanged in different formats. Data format has large difference for different data acquiring method and different data presenting method, for instance, remote sensing data, vector data, DEM, and charts. All these bring in difficult problems to Seamless Integration of Multi-source Spatial-data. However, Seamless Integration of Multi-source Spatial-data has its unexampled advantages in the collation, application, updating and spatial information service of data resource and information resource. The method of Seamless Integration of Multi-source Spatial-data was brought forward based on COM technology in this paper. Seamless Integration of Multi-source Spatial-data ActiveX component was developed and used in the Maritime Management Information System. Different GIS spatial data was converted into part of GIS seamless data by data middleware and hence data loading and new data adding can be fulfilled in a more efficient and effective way by the expanding interface.The key task of marine functional zoning is the division of marine functional zones. The current zone-dividing method lacks quantitative analysis because the division of marine functional zones is estimated by experts based on large amount of data. Sea area has natural and social attributes, either quantitative or qualitative. This paper established a fuzzy comprehensive evaluation model to analyze sea area based on fuzzy logic. In the need of spatial analysis by using the fuzzy comprehensive evaluation model to assess sea area, the paper use ArcGIS software to assess the mariculture zoning in Qingdao coastal waters.The paper represented the advantage of COM development, analyzed marine multi-source spatial-data and attributed data organization and used GIS COM component to development maritime management information system based on multi-source spatial-data. The system can integrate multi-format raster data such as tiff, geo-tiff, bmp, jpeg, img(Erdas) and so on, multi-format geospatial vector data dgn、sde、dwg、tab、mif、e00、shp and so on and multi-format attributed data such as Sql server, Oracel, Access, Excel and so on. The system has a lot of functions including information browse, information query, spatial analysis, seamless integration of multi-source marine spatial data, statistics, report auto-generating, electronic and automated of sea area use application, examination, approval and registration. It can also display Jiaozhou Bay pollutant dispersion dynamically.

  • 【分类号】P208;P717
  • 【被引频次】15
  • 【下载频次】1378
  • 攻读期成果
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