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Development of hydrologic response unit delineation criterion and atmospheric hydrologic model link.

机译:水文响应单元划分标准与大气水文模型联系的发展。

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Atmospheric models such as a Global Circulation Models (GCMs) or regional atmospheric models provide a basis for numerous applications ranging from weather forecasting to quantifying the effects of long-term global change. The results from the atmospheric models can be used effectively in distributed hydrologic modeling environs to provide better quantification of surface runoff and evapotranspiration. However, the resolution of atmospheric model estimates is of the order of tens or even hundreds of kilometers. Distributed hydrologic models require the spatial data at much finer resolution, and therefore one step of downscaling is essential.; The spatial structure to a distributed hydrologic model can be provided by Hydrologic Response Units (HRUs). HRUs are spatial units with homogeneous hydrologic response. Several studies have used the concept of HRUs; however, there exists no analytical method in literature for HRU delineation. This study provides a statistical criterion for delineation of HRUs using first-order subwatersheds and variables of choice, including remotely sensed elevation, a Normalized Difference Vegetation Index (NDVI), vegetation type, and soil texture data. Adjacent first-order subwatersheds are merged together to form one HRU after comparing the characteristics of variables of neighboring subwatersheds. The effectiveness of this merge criterion is tested by comparing the resulting hydrologic response in the form of streamflow from the subwatersheds. This HRU delineation criterion is tested using a Climate Vegetation Hydrologic Model (CVHM); however, this methodology is not specific to any hydrologic model.; HRUs can serve as an effective link between atmospheric and hydrologic models. This study employs a simple orographic model, called ZOOM, to provide the regional atmospheric model (RegCM2) estimates at the center of each HRU, which in turn are used by a distributed hydrologic model, known as Climate Vegetation Hydrologic Model (CVHM). Comparison between the downscaled precipitation and temperature data with observed data shows reasonable agreement. A detailed analysis of these downscaled estimates in CVHM to quantify hydrologic responses (such as evapotranspiration and streamflow) from a mountainous watershed in northern Utah is presented.
机译:诸如全球环流模型(GCM)或区域大气模型之类的大气模型为从天气预报到量化长期全球变化影响的众多应用提供了基础。大气模型的结果可以有效地用于分布式水文模型环境中,以更好地量化地表径流和蒸散量。但是,大气模型估算值的分辨率约为数十公里甚至数百公里。分布式水文模型需要更精细的空间数据,因此缩小比例是必不可少的。分布式水文模型的空间结构可以由水文响应单位(HRU)提供。 HRU是具有均一水文响应的空间单位。一些研究使用了HRU的概念。然而,文献中没有用于HRU划定的分析方法。这项研究为使用一阶子流域和选择的变量(包括遥感标高,归一化植被指数(NDVI),植被类型和土壤质地数据)来描述HRU提供了统计标准。在比较相邻子流域变量的特征之后,将相邻的一阶子流域合并在一起以形成一个HRU。通过比较来自子流域的水流形式的结果水文响应,测试了该合并标准的有效性。使用气候植被水文模型(CVHM)测试了此HRU划定标准;但是,这种方法并不特定于任何水文模型。 HRU可以作为大气和水文模型之间的有效链接。这项研究采用了一种简单的地形模型,称为ZOOM,以在每个HRU的中心提供区域大气模型(RegCM2)估计值,而该估计值又被称为气候植被水文模型(CVHM)的分布式水文模型使用。降尺度的降水和温度数据与观测数据的比较表明合理的一致性。本文对CVHM中这些缩减的估算值进行了详细分析,以量化犹他州北部山区流域的水文响应(如蒸散和水流)。

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