DocumentCode :
2710503
Title :
The data management and visualization of water and sediment for two-dimensional, a case study of the lower reaches of Yellow River
Author :
Yin, Xueyong ; Li, Na ; Lai, Ruixun
Author_Institution :
Coll. of City & Environ., Xuchang Univ., Xuchang, China
fYear :
2011
fDate :
24-26 June 2011
Firstpage :
1
Lastpage :
4
Abstract :
According to the lower Yellow River mathematical model features, the paper presents the water and sediment data model based on the object-oriented data modeling method. By anglicizing various data types, defining the properties and their relationship, this model can adapt to the lower Yellow River mathematical model features. Taking the river part from Huayuankou to Lijin as the experimental zone, the article has founded water and sediment mathematical model of the lower Yellow River, and realized the management analysis and visualization of the model data. The test result shows that the model can make the relationship of 2D water and sediment model data clear, and realize the data sharing management. Therefore, it can effectively reduce data storage redundancy. It´s convenient to convert and input/output the data, and it can improve the visualization of scientific calculation.
Keywords :
data visualisation; geophysics computing; hydrological techniques; object-oriented databases; object-oriented methods; rivers; sediments; Huayuankou; Lijin; Yellow River lower reaches; data management; data sharing management; data storage redundancy; data visualization; lower Yellow River mathematical model features; management analysis; object-oriented data modeling method; sediment visualization; two-dimensional case study; water visualization; Computational modeling; Data models; Data visualization; Mathematical model; Object oriented modeling; Rivers; Sediments; GIS; data management; visualization; water and sediment data;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoinformatics, 2011 19th International Conference on
Conference_Location :
Shanghai
ISSN :
2161-024X
Print_ISBN :
978-1-61284-849-5
Type :
conf
DOI :
10.1109/GeoInformatics.2011.5980942
Filename :
5980942
Link To Document :
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