NDLI: The data management and visualization of water and sediment for two-dimensional, a case study of the lower reaches of Yellow River

Content Provider	IEEE Xplore Digital Library
Author	Xueyong Yin Na Li Ruixun Lai
Copyright Year	2011
Description	Author affiliation: The Yellow River Institute of Hydraulic Research, YRCC, Zhengzhou, China (Ruixun Lai) \|\| College of City and Environment, Xuchang University, Xuchang, China (Xueyong Yin) \|\| College of Electro-information Engineering, Xuchang University, Xuchang, China (Na Li)
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.
Starting Page	1
Ending Page	4
File Size	171845
Page Count	4
File Format	PDF
ISBN	9781612848495
ISSN	21610258
e-ISBN	9781612848488
DOI	10.1109/GeoInformatics.2011.5980942
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-24
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	GIS Visualization Computational modeling Object oriented modeling Water and sediment data Data management Data visualization Data models Rivers Sediments Mathematical model
Content Type	Text
Resource Type	Article
Subject	Geography, Planning and Development Computer Networks and Communications Information Systems Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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