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A Multi-Directional Flow Path Mapping Method Using Digital Elevation Models

机译:基于数字高程模型的多向流路映射方法

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Digital elevation models (DEM) are extensively used in hydrological analysis to obtain distributed hydrological attributes and the flow direction. Flow direction is not only used for channel network determination but also to obtain distributed hydrological attributes such as specific catchments. Demerits are consistently hindering hydrologists despite the ease of using DEM with several existing methods to obtain flow direction. A new multidirectional method of assigning flow directions based on flow tendency is proposed in this paper. This method assigns flow direction toward multiple downstream cells by evaluating the flow tendencies of 8 triangular facets inside a 9 grid-cell’s window. Iterative search of continuous pits and flats are also embedded inside. Multiple higher flow tendencies are included on the basis of their rank from the maximum, which has made it possible to trace significant parts of off-peak wet zones. This method is named as Ranked Flow Tendency (RAFT) method. A storage function method is used to simulate the water movement taking the DEM of Kamishiiba Reservoir Site (210 km2) as the case. The results of RAFT method are compared against the conventional D8 method and modified D8 method for flow networks. The proposed RAFT method has yielded better flow path simulation. The RAFT method has displayed promising ability to trace the reservoir sites as well. This method shows its better ability to involve more cells at off-peak wet region in flow routing
机译:数字高程模型(DEM)被广泛用于水文分析,以获得分布式水文属性和水流方向。流向不仅用于确定河道网络,而且还用于获取分布式水文属性,例如特定集水区。尽管容易将DEM与几种现有方法结合使用来获取水流方向,但缺点始终困扰着水文学家。提出了一种新的基于流向的流向分配方法。该方法通过评估9个网格单元窗口内的8个三角形小平面的流动趋势,向多个下游单元分配流向。内部还嵌入了连续坑和平台的迭代搜索。根据从最高到最高的排名,包含了​​多个更高的流动趋势,这使得可以追踪非高峰湿区的重要部分。此方法称为“排序流趋势(RAFT)”方法。以金石场水库场址(210 km2)的DEM为例,采用存储函数法模拟水的运动。将RAFT方法的结果与常规D8方法和改进的D8方法用于流网进行了比较。提出的RAFT方法产生了更好的流路模拟。 RAFT方法也显示出有希望的追踪储层位置的能力。这种方法显示出更好的能力,可以使非高峰湿区中更多的细胞参与流路选择

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