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Rainfall-runoff modelling using river-stage time series in the absence of reliable discharge information: a case study in the semi-arid Mara River basin

机译:利用可靠的卸货信息的河流时间序列利用河流时间序列进行降雨 - 玛拉河流域案例研究

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Hydrological models play an important role in water resources management. These models generally rely on discharge data for calibration. Discharge time series are normally derived from observed water levels by using a rating curve. However, this method suffers from many uncertainties due to insufficient observations, inadequate rating curve fitting procedures, rating curve extrapolation, and temporal changes in the river geometry. Unfortunately, this problem is prominent in many African river basins. In this study, an alternative calibration method is presented using water-level time series instead of discharge, applied to a semi-distributed rainfall-runoff model for the semi-arid and poorly gauged Mara River basin in Kenya. The modelled discharges were converted into water levels using the Stickler-Manning formula. This method produces an additional model output; this is a "geometric rating curve equation" that relates the modelled discharge to the observed water level using the Stickler-Manning formula and a calibrated slope-roughness parameter. This procedure resulted in good and consistent model results during calibration and validation. The hydrological model was able to reproduce the water levels for the entire basin as well as for the Nyangores sub-catchment in the north. The newly derived geometric rating curves were subsequently compared to the existing rating curves. At the catchment outlet of the Mara, these differed significantly, most likely due to uncertainties in the recorded discharge time series. However, at the "Nyangores" sub-catchment, the geometric and recorded discharge were almost identical. In conclusion, the results obtained for the Mara River basin illustrate that with the proposed calibration method, the water-level time series can be simulated well, and that the discharge-water-level relation can also be derived, even in catchments with uncertain or lacking rating curve information.
机译:水文模型在水资源管理中发挥着重要作用。这些模型通常依赖于校准的放电数据。放电时间序列通常通过使用额定曲线来源于观察到的水位。然而,这种方法由于观察不足,额定曲线拟合程序,评级曲线推断和河流几何形状的时间变化而受到许多不确定性。不幸的是,这个问题在许多非洲河流域突出。在本研究中,使用水位时间序列而不是放电来提出一种替代校准方法,适用于肯尼亚半干旱和糟糕的玛拉河流域的半分布降雨径流模型。使用粘附剂曼宁公式将模型排放转化为水平。该方法产生额外的模型输出;这是一种“几何额定曲线方程”,其使用粘附夹式公式和校准的斜率粗糙度参数将模型的放电与观察到的水位相关。在校准和验证期间,此过程导致良好且一致的模型结果。水文模型能够再现整个盆地的水平以及北方的纽约林群集水区。随后将新导出的几何额定曲线与现有的额定值曲线进行比较。在Mara的集水区,这些差异显着,很可能是由于记录的放电时间序列中的不确定性。但是,在“Nyangores”子集水区内,几何和记录的放电几乎相同。总之,对于MARA河流域获得的结果说明,通过所提出的校准方法,可以很好地模拟水位时间序列,并且即使在不确定或不确定的流域中也可以导出排出水位关系缺乏评级曲线信息。

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