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首页> 外文期刊>Advances in Water Resources >Development of a one-parameter variable source area runoff model for ungauged basins
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Development of a one-parameter variable source area runoff model for ungauged basins

机译:非参数化盆地一参数可变源面径流模型的建立

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This research develops a one-parameter model of saturated source area dynamics and the spatial distribution of soil moisture. The single required parameter is the maximum soil moisture deficit within the catchment. The concept behind the development of the model comes from the fact that the complexity of topographically-driven runoff generation can be reduced through the use of geomorphological scaling relations. The scaling formulation allows the prediction of the dynamics of saturated source areas as a function of basin-wide soil moisture state. This model offers a number of potential advantages. Firstly, the model parameter is independent of topographic index distribution and its associated scale effects. Secondly, it may be possible to measure this single parameter using field measurements or perhaps remote sensing, which gives the model significant potential for application in ungauged basins. Finally, the fact that this parameter is a physical characteristic of the basin, estimation of this parameter avoids regionalization and parameter transferability problems. The model is tested using rainfall-runoff data from the 10.4 ha experimental catchment known as Tarrawara in Australia, the 37 km~2 Town Creek catchment in U.SA, and the 620 km~2 Balaphi and the 850 km~2 Likhu sub-catchments of the Koshi river in Nepal. In sub-catchments of Koshi river, the simulation results compare favorably against the calibrated TOPMODEL both in terms of direct runoff and the spatial distribution of soil moisture state. In the Tarrawara and Town Brook catchments, simulation results compare favorably against observed storm runoff using all observed data, without calibration.
机译:本研究建立了饱和源区动力学和土壤水分空间分布的一参数模型。唯一需要的参数是流域内最大的土壤水分亏缺。该模型开发背后的概念来自这样一个事实,即可以通过使用地貌比例关系来减少地形驱动的径流生成的复杂性。通过比例公式,可以预测流域范围内土壤含水量状态下饱和源区的动态。该模型具有许多潜在的优势。首先,模型参数与地形指数分布及其相关的比例效应无关。其次,有可能使用现场测量或遥感来测量该单个参数,这为该模型在非流域盆地中的应用提供了巨大的潜力。最后,由于该参数是盆地的物理特征,因此对该参数的估计避免了区域化和参数可传递性问题。该模型使用来自澳大利亚10.3公顷的实验流域(称为Tarrawara),美国的37 km〜2 Town Creek流域以及620 km〜2 Balaphi和850 km〜2 Likhu子流域的降雨径流数据进行测试。尼泊尔科希河的流域。在Koshi河子汇水区,无论是直接径流还是土壤水分状态的空间分布,仿真结果均与经校准的TOPMODEL相比具有优势。在塔拉瓦拉和汤溪流域,使用所有观测数据而无需校准,模拟结果与观测到的暴雨径流相比具有优势。

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