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A hydrologic model for use with rasterized data structures.

机译:用于栅格化数据结构的水文模型。

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A distributed hydrologic model is developed at The Pennsylvania State University for use with rasterized data bases. The purpose of the model is to investigate both spatial and temporal data sets and their ramifications on microscale and macroscale hydrologic modeling. All physical drainage basin properties including area, slope, stream length, and stream order are obtained or estimated from a Digital Elevation Model. Hydrologic abstractions are presently estimated by three methods: a constant infiltration rate, curve number, and the Green-Ampt equation. Parameters for the three methods are determined or derived from data sets such as the STATSGO soil data base and land use/land cover data as obtained from thematic mapper or AVHRR data. Precipitation is to be supplied to the model as either user input based on design storms or historic storms, or predicted rainfall from a mesoscale model, such as the PSU/NCAR model used at Penn State University. Finally, once the stream network has been identified via the Digital Elevation Model, overland flow is computed by a kinematic wave approximation and channel routing by the Muskingum-Cunge method.
机译:宾夕法尼亚州立大学开发了一种分布式水文模型,可用于栅格化数据库。该模型的目的是研究空间和时间数据集及其在微观和宏观尺度水文模型方面的影响。可从数字高程模型获得或估算所有物理流域属性,包括面积,坡度,水流长度和水流阶数。目前,通过三种方法来估算水文抽象:恒定的入渗速率,曲线数和Green-Ampt方程。这三种方法的参数是从STATSGO土壤数据库和从专题测绘仪或AVHRR数据获得的土地利用/土地覆盖数据等数据集中确定或得出的。降水将作为基于设计风暴或历史性风暴的用户输入,或来自中尺度模型(如宾夕法尼亚州立大学使用的PSU / NCAR模型)的预测降雨,提供给模型。最后,一旦通过数字高程模型确定了河流网络,就可以通过运动波逼近法和Muskingum-Cunge方法进行通道路由来计算陆上流量。

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