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

XIE Zhi-ping;YANG Kun;LI Ze-cheng;School of Information Science and Technology,Yunnan Normal University;GIS Technology Engineering Research Center for West-China Resources and Environment of Educational Ministry;School of Tourism and Geographic Science,Yunnan Normal University;

object-oriented spatio-temporal data model;;Mongo DB;;Dianchi Lake Basin;;non-point source pollution

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.