Research and Application on Document Type Spatio-temporal Data Model of Non-point Source Pollution in Dianchi Lake Basin
Xie Zhi-pin · Hubei nongye kexue · 2016
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.