滇池流域非点源污染文档型时空数据模型的研究与应用  

Research and Application on Document Type Spatio-temporal Data Model of Non-point Source Pollution in Dianchi Lake Basin

作　　者：谢志萍[1,2] 杨昆[1,2] 李泽城 

机构地区：[1]云南师范大学信息学院,昆明650500 [2]西部资源环境地理信息技术教育部工程研究中心,昆明650500 [3]云南师范大学旅游与地理科学学院,昆明650500

出　　处：《湖北农业科学》2016年第5期1295-1300,共6页Hubei Agricultural Sciences

基　　金：国家科技支撑计划项目(2013BAJ07B00);云南科技计划项目(2012CA024);高等学校博士学科点专项科研基金项目(20115314110005);云南师范大学研究生科研创新基金项目(yjs201531)

摘　　要：针对滇池流域非点源污染应急响应、模拟及数据挖掘过程中,现有的基于关系数据库建立的时空数据模型进行了分析并指出其不足,提出了基于Mongo DB及面向对象时空数据模型改进的文档型时空数据模型,以有效组织、存储与管理非点源数据;最后设计了滇池流域非点源污染时空数据管理系统,实现不同来源、格式数据的导入导出、编辑、索引及高级运算功能。试验证明,系统在存储、管理和维护海量时空数据等方面得到了提升,能为滇池流域非点源污染时空过程数据的模拟以及大数据挖掘提供统一的访问接口和数据支撑。In the non-point source pollution in Dianchi Lake Basin emergency response, simulation and data mining process,the existing temporal data model based on a relational database were analyzed and its shortcomings were pointed out,an improved model based on Mongo DB and object-oriented spatio-temporal data model was proposed to organize, store and manage the non-point source data; Finally, the non-point source pollution spatio-temporal data management system of Dianchi Lake Basin was designed to achieve the following functions, such as importing exporting,editing, indexing and advanced operation function of different sources or format data. The experiment results showed that,the system had been improved in storage,management and maintenance of huge amounts of spatial-temporal data, which could provide a unified access interface and data support for the data simutation and big data mining of non-point source pollution spatio-temporal process in Dianchi lake Basin.

关 键 词：面向对象时空数据模型 MONGODB 滇池流域 非点源污染 

分 类 号：P208[天文地球—地图制图学与地理信息工程]