Flow routing method and its application in distributed hydrological modeling

Flow routing method and its application in distributed hydrological modeling
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发表时间:
2004
影响因子:
3.3
通讯作者:
Wang Gang-sheng
Wang Gang-sheng
中科院分区:
法学4区
文献类型:
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作者:
Wang Gang-sheng

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水流路径模型在分布式水文建模中起着重要的作用。选择简单FRM还是复杂FRM取决于时间分辨率与路由滞后时间的相对关系。分布式水文模型(DHM)的FRM一般由三个部分组成:一是流域细分方法;二是路由路径;最后是基于路由路径的路由方法。为了缩短模型运行时间,本文提出了一种有效的路由方法——基于秩格的运动波路由模型(RGKWR)。该模型将运动波法应用于排列栅格网格上的连续布线。通过单向算法计算栅格的流向,可以将栅格划分为不同的等级。我们将流域的出水口网格定义为第一级,水流入第一级网格的网格定义为第二级,其余可类推,因此将最上游的网格定义为最高级别。从等级较高的网格到等级较低的网格进行流量路由。本文提出了栅格网的分类方法,讨论了运动波模型及其数值解,并以华北潮白河流域为例进行了研究。流域面积13846 km2,有两个出水口,一个是潮河上的夏会水文站,另一个是白河上的张家芬站。将全流域以500 m分辨率划分为55,444个格元,其中潮河流域划分为298级,白河流域划分为398级。应用表明,基于GIS/DEM的RGKWR是合理有效的。
Flow routing model (FRM) plays important roles in the distributed hydrological modeling. Whether a simple or complex FRM is chosen depends on the relative relationship between the time resolution and the lagging time of routing. Generally, the FRM of a distributed hydrological model(DHM) consists of three components: the first is subdivision method of the basin; the second is the routing path; and the last is the routing method based on the routing path. In order to decrease the runtime of model, an efficient routing method, the so-called Ranked-Grid-based Kinematic Wave Routing model (RGKWR), is developed in this paper. This model applies the kinematic wave method to successive routing on ranked raster grids. Raster grids can be divided into different ranks due to each grid's flow direction computed by the single direction algorithm. We define the basin's outlet grids as the first rank, and the grids from which water flows into the first ranked grids as the second rank, the rest can be deduced by analogy, so the most upstream grids are defined as the highest rank. Flow routing is undertaken from those grids having higher rank onto the grids having lower rank.This paper puts forward the classifying method for raster grids, discusses the kinematic wave model and its numerical solutions, and carries out a case study on Chaobaihe River Basin in North China. The basin, with a drainage area of 13,846 km 2, has two outlets to Miyun Reservoir: one is Xiahui hydrologic station on Chaohe River, the other is Zhangjiafen station on Baihe River. The whole basin is divided into 55,444 grid elements at a 500-m resolution, with the Chaohe River basin partitioned into 298 ranks, and Baihe River basin 398 ranks. The application shows RGKWR based on GIS/DEM is reasonable and efficient.