首页> 外文期刊>Journal of Hydrology >Hydrologic process simulation of a semiarid, endoreic catchment in Sahelian West Niger. 2. Model calibration and uncertainty characterization
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Hydrologic process simulation of a semiarid, endoreic catchment in Sahelian West Niger. 2. Model calibration and uncertainty characterization

机译:萨赫勒西部尼日尔半干旱内陆流域的水文过程模拟。 2.模型校准和不确定性表征

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The Wankama endoreic system in the region of Niamey (Niger), monitored over the period 1992-2000, is studied with r.water.fea, a physically-based, spatially-distributed rainfall-runoff model. Catchment characteristics and data, together with model principles and construction, are described in Peugeot et al. [J. Hydrol., 2003], who used the uncalibrated model as one of several investigation tools for the screening of rainfall-runoff observations. This second paper focuses on model calibration and verification, namely the methods and criteria used to that end followed by the results thereby obtained. Based on a diagnostic function that combines errors in runoff volumes and in peak discharges, calibration is performed by exploring a 3D parameter space. A resampling-based cross-validation technique is used to investigate calibration stability with respect to data sample fluctuations, and to assess the predictive capabilities of the calibrated model. The issues of parameter uncertainty, sample representativeness, and presence of influential observations, are discussed. An empirical, non-parametric method is devised to characterize parameter uncertainty and to assign intervals to volume predictions. Model verification is performed against the data from the last two seasons. Internal catchment behavior, as produced by the model, appears qualitatively consistent with field information, including a weak upper-area contribution to catchment outflow due to large runoff abstraction by the conveying hydrographic network. (C) 2003 Elsevier B.V. All rights reserved. [References: 31]
机译:使用基于物理的,空间分布的降雨-径流模型r.water.fea研究了1992-2000年期间在尼亚美(尼日尔)地区监测的Wankama内分泌系统。流域特征和数据,以及模型原理和构造,在Peugeot等人中进行了描述。 [J. Hydrol。,2003年],他使用未经校准的模型作为筛选降雨径流观测值的几种调查工具之一。第二篇论文集中于模型校准和验证,即为此目的所使用的方法和标准,以及由此获得的结果。基于结合了径流量和峰值流量误差的诊断功能,可以通过探索3D参数空间来执行校准。基于重采样的交叉验证技术用于调查关于数据样本波动的校准稳定性,并评估已校准模型的预测能力。讨论了参数不确定性,样品代表性和有影响的观测值存在的问题。设计了一种经验性的非参数方法来表征参数不确定性并为体积预测分配时间间隔。根据最近两个季节的数据进行模型验证。该模型产生的内部流域行为在质量上似乎与现场信息相一致,包括由于输送水文网络对径流的大量提取而对流域外流的贡献较弱。 (C)2003 Elsevier B.V.保留所有权利。 [参考:31]

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