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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:在虚拟地理环境中将大坝高度储存曲线应用于地貌特征分析 - 以洪石流域为例

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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 = ax2 + 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:在量化水平和主要考虑因素的差异方面,研究了几种方法。一个是先前的定性表征,另一个是包括截面图案和投影图案的2维度测量。随着地理信息技术的发展,尤其是三维地理可视化和虚拟地理环境(VGE),3维度测量和用户与地理数据/地理图之间的动态互动,可以开发,以深入了解地貌特征,并利用这种特征的有效应用,如大坝施工等地理项目。存储 - 高程曲线对于在水利地区的场地选择项目和洪水调度方面非常有用,但它只是一个从另一个值查询一个值的工具。实际上,储存升降曲线可以全面地代表包括垂直截面的地貌特征,流的横截面和附近的地形。在本文中,我们使用像y = ax2 + bx + c的二次回归方程和陕西省紫昌县的洪世茂流域DEM数据,发现了方程系数与Zi Chang County的关系基于VGE平台的地貌特征。它令人兴奋的是,系数“a”似乎与流尺度强烈地相关,并且系数“b”可以给谷形状的指数。最后,我们使用一个名叫海滨的子盆地作为申请。关于二次回归方程和地貌特征的相关研究的结果可以节省计算,提高淤泥大坝系统规划的效率。

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