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Proceedings Paper

A geodatabase-based data model for Poyang Lake watershed comprehensive management modeling
Author(s): Geying Lai; Jianxing Lv; Cui Chen; Shumin Bao; Fanping Fan
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Paper Abstract

It is clear that the development of an integrated watershed data model (IWDM) that encapsulates the data layers describing watershed eco-systems will benefit coupling GIS to watershed models. It is desired that integrated watershed data model will not only store separate layers of information but also provide geographic and temporal, natural and social-economic connectivity to better represent watershed system and all of the features and information within it. The objective of this study is to establish an integrated watershed data model to describe the watershed system and its primary elements in order to support Poyang Lake watershed comprehensive management modeling (PLWCMM), in which many models are coupled with ArcGIS Engine using Visual Studio 2005. In this paper, the integrating framework of PLWCMM was firstly introduced and the requirement analysis of the integrated watershed data model was conducted. In addition, the frame structure and detailed features of each feature datasets in IWDM were described. In the IWDM, the six components of Hydro, LandScape, Weather, Social-Economy, Simulation and TimeSeries were contained, and there are different feature classes in each model component. This data model can connect natural spatial unit in watershed to administration unit by the relationship between their spatial features and also connect spatial data to temporal data.

Paper Details

Date Published: 15 October 2009
PDF: 8 pages
Proc. SPIE 7492, International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining, 74922U (15 October 2009); doi: 10.1117/12.838455
Show Author Affiliations
Geying Lai, Jiangxi Normal Univ. (China)
Jianxing Lv, Jiangxi Normal Univ. (China)
Cui Chen, Dresden Univ. of Technology (Germany)
Shumin Bao, Jiangxi Normal Univ. (China)
Fanping Fan, Jiangxi Normal Univ. (China)


Published in SPIE Proceedings Vol. 7492:
International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining
Yaolin Liu; Xinming Tang, Editor(s)

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