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首页> 外文期刊>Hydrological Processes >Global-scale river routing—an efficient time-delay algorithm based on HydroSHEDS high-resolution hydrography
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Global-scale river routing—an efficient time-delay algorithm based on HydroSHEDS high-resolution hydrography

机译:全球尺度的河道调度-基于HydroSHEDS高分辨率水文的高效延时算法

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Coupling of global hydrologic and atmospheric models is difficult because of the highly nonlinear hydrological processesnto be integrated at large scales. Aggregation of high-resolution data into low-resolution spatial distribution functions is onenway to preserve information and account for the nonlinearity. We used HydroSHEDS, presently the most highly resolvedn(300n) global hydrography available, to provide accurate control on global river routing through a computationally efficientnalgorithm. The high resolution of HydroSHEDS allowed discrimination of river-channel pixels, and time-delay distributionsnwere calculated for all such pixels. The distributions were aggregated into network-response functions (NRFs) for each low-nresolution cell using an algorithm originally developed for the 1-km-resolution HYDRO1k hydrography. The large size ofnHydroSHEDS required a modification in algorithm to maintain computational efficiency. The new algorithm was tested withna high-quality local and a more uncertain global weather dataset to identify whether improved routing would provide a gainnwhen weather data quality was limiting. The routing was coupled to the WASMOD-M runoff-generation model to evaluatendischarge from the Dongjiang River and the Willamette River basins. The HydroSHEDS-based routing, compared with thenHYDRO1k-based routing, provided a small gain in model efficiency, for local and global weather data and for both test basins.nThe HydroSHEDS-based routing, contrary to the HYDRO1k-based routing, provided physically realistic wave velocities. Thenmost stable runoff-generation parameter values were achieved when HydroSHEDS was used to derive the NRFs. Routingnwas computed in two steps: first, a preparatory calculation which was a one-time effort and second, the routing during eachnsimulation. The computational efficiency was four to five orders of magnitude better for the simulation step than that for thenpreparatory step. Copyright  2010 John Wiley & Sons, Ltd.
机译:由于高度非线性的水文过程需要大规模整合,因此全球水文模型与大气模型之间的耦合很困难。将高分辨率数据聚合为低分辨率空间分布函数的工作正在进行中,以保存信息并解决非线性问题。我们使用HydroSHEDS(目前解析度最高的n(300n)全球水文),通过计算有效的算法对全球河流路线进行精确控制。 HydroSHEDS的高分辨率可以区分河道像素,并且可以为所有此类像素计算时间延迟分布。使用最初为1 km分辨率的HYDRO1k水文开发的算法,将分布汇总为每个低n分辨率单元的网络响应函数(NRF)。大尺寸的nHydroSHEDS需要对算法进行修改以保持计算效率。使用高质量的本地和不确定性更高的全球天气数据集对新算法进行了测试,以确定当天气数据质量受到限制时,改进的路由是否会带来收益。该路线与WASMOD-M径流生成模型耦合,以评估东江流域和威拉米特河流域的流量。与基于HYDRO1k的路由相比,与基于HYDRO1k的路由相比,基于HydroSHEDS的路由与基于HYDRO1k的路由相比,在模型效率方面获得的收益很小。波速。然后,当使用HydroSHEDS导出NRF时,可获得最稳定的径流生成参数值。路由的计算分两个步骤:首先是一次准备性的计算,这是一次性的工作,其次是每次模拟过程中的路由。模拟步骤的计算效率比准备步骤的效率高出四到五个数量级。版权所有©2010 John Wiley&Sons,Ltd.

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