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Understanding hydrological processes and estimating model parameter values in large basins: the case of the Congo River basin

机译：了解大流域的水文过程并估算模型参数值：以刚果河流域为例

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摘要

Many large basins of the world are located in developing countries where the hydrometric networks are limited and where hydrological models have the potential to contribute to water resources management. However, it is difficult to ensure that models adequately represent the dominant hydrological processes, a problem further exacerbated by spatial scale issues and the typically large size of the modelling units. If models do not satisfactorily represent the hydrological processes, they may not be representing the runoff responses from ungauged areas and may not be useful for investigating the impacts of future water or land use developments. This paper reports on a study of the Congo River basin where the available stream flow data have been identified for 16 gauging stations within the total basin area of 3 680 000 km~2. The initial application of the model (Pitman monthly time-step model) involved manual calibration, which was followed by an exploration of the behavioural parameter sets in the context of the available basin physical property data (topography, drainage patterns, geology, soils, vegetation, etc.) in an attempt to constrain the plausible parameter sets to those that are conceptually realistic and consistent with real hydrological processes.
机译：世界上许多大型盆地位于水文测量网络有限的发展中国家，水文模型有潜力为水资源管理做出贡献。但是，很难确保模型能充分代表主要的水文过程，空间尺度问题和建模单元通常较大的规模进一步加剧了这一问题。如果模型不能令人满意地表示水文过程，则它们可能无法表示未开垦区的径流响应，并且可能对调查未来水或土地利用发展的影响没有帮助。本文报道了刚果河流域的一项研究，该流域已确定了总流域面积368万km〜2中16个测量站的可用流量数据。该模型（Pitman每月时间步长模型）的最初应用涉及手动校准，然后在可用的盆地物理属性数据（地形，排水模式，地质，土壤，植被）的背景下探索行为参数集。等），以将合理的参数集限制为在概念上是现实的且与实际水文过程相一致的参数集。

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