首页> 外文会议>Geospatial Information, Data Mining, and Applications: MIPPR 2005(Fourth International Symposium on Multispectral Image Processing and Pattern Recognition) pt.1 >Applying Dam Height-Storage Curve to Geomorphic Features Analysis Within Virtual Geographic Environment: A Case Study of the Hong-Shi-Mao Watershed
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Applying Dam Height-Storage Curve to Geomorphic Features Analysis Within Virtual Geographic Environment: A Case Study of the Hong-Shi-Mao Watershed

机译:大坝高度存储曲线在虚拟地理环境下地貌特征分析中的应用-以洪石茂流域为例

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There are generally two kinds of approaches to studying geomorphic features in terms of the quantification level and difference of major considerations. One is the earlier qualitative characterization, and the other is the 2-dimension measurement that includes section pattern and projection pattern. With the development of geo-information technology, especially the 3-D geo-visualization and virtual geographic environments (VGE), 3-dimension measurement and dynamic interactive between users and geo-data/geo-graphics can be developed to understand geomorphic features deeply, and to benefit to the effective applications of such features for geographic projects like dam construction. Storage-elevation curve is very useful for site selection of projects and flood dispatching in water conservancy region, but it is just a tool querying one value from the other one. In fact, storage-elevation curve can represent comprehensively the geomorphic features including vertical section, cross section of the stream and the landform nearby. In this paper, we use quadratic regression equation shaped like y = ax~2 + bx + c and the DEM data of Hong-Shi-Mao watershed, Zi Chang County, ShaanXi Province, China to find out the relationship between the coefficients of the equation and the geomorphic features based on VGE platform. It's exciting that the coefficient "a" appear to be correlative strongly with the stream scale, and the coefficient "b" may give an index to the valley shape. In the end, we use a sub-basin named Hao-Jia-Gou of the watershed as an application. The result of correlative research about quadratic regression equation and geomorphic features can save computing and improve the efficiency in silt dam systems planning.
机译:根据量化水平和主要考虑因素的差异,通常有两种研究地貌特征的方法。一个是较早的定性表征,另一个是包括截面图案和投影图案的二维测量。随着地理信息技术的发展,尤其是3D地理可视化和虚拟地理环境(VGE),可以开发3维测量以及用户与地理数据/地理图形之间的动态交互,以深入理解地貌特征,并且可以将这些功能有效地应用到大坝建设等地理项目中。蓄水高程曲线对于水利地区项目的选址和洪水调度非常有用,但是它只是一种从另一个值中查询一个值的工具。实际上,储藏高程曲线可以全面代表地貌特征,包括垂直剖面,溪流剖面和附近的地貌。在本文中,我们使用形状为y = ax〜2 + bx + c的二次回归方程和中国陕西省资昌县红石茂流域的DEM数据,找出了各系数之间的关系。 VGE平台的方程和地貌特征。令人兴奋的是,系数“ a”似乎与流域尺度密切相关,并且系数“ b”可能为山谷形状提供了一个指标。最后,我们使用一个分水岭的流域郝家沟作为应用程序。有关二次回归方程和地貌特征的相关研究结果可以节省计算,并提高粉砂大坝系统规划的效率。

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