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首页> 外文期刊>Hydrological Processes >Process refinements improve a hydrological model concept applied to the Niger River basin
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Process refinements improve a hydrological model concept applied to the Niger River basin

机译：工艺改进完善了应用于尼日尔河流域的水文模型概念

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This study examines a method to improve a process-oriented hydrological model concept applied to another region than it was first developed for. In principle, we propose to analyse and refine each major hydrological process separately, sequentially, and iteratively. To test the method, the HYPE model concept (HYdrological Predictions for the Environment, originally developed for Sweden) was here applied to the data-sparse Niger River basin in West Africa. Errors in the baseline Niger-HYPE model were analysed to identify inadequately described processes. These process descriptions were subsequently isolated and refined through a set of experiments focusing on concept development, input data enhancement, and multivariable calibration. The refinements were guided by in situ discharge observations, earth observations, local expert knowledge, and previous studies. The results show that the original model concept could simulate the annual cycle of discharge, but not the magnitudes or daily dynamics (56-station average Nash-Sutcliffe Efficiency=-1). The main processes requiring improved descriptions were precipitation, evaporation, surface runoff, infiltration, soil storage, reservoir regulations, aquifer recharge, and flooding and river-atmosphere exchange in the Inner Niger Delta. Of these, evaporation, flooding and river-atmosphere exchange differ so much between Sweden and the Niger River that the model concept had to be refined. All refinements were synthesized in a new model version (Niger-HYPE2.0) performing significantly better across the basin (56-station average Nash-Sutcliffe Efficiency=0.4). This study demonstrates the danger of applying a model off the shelf, and the obligation to carefully evaluate and revise process descriptions when applying a model concept to a new region. Moreover, the results indicate that our approach to separately, sequentially, and iteratively refine processes together with local experts can substantially improve process-oriented hydrological models.
机译：这项研究研究了一种方法，该方法可以改进面向过程的水文模型概念，并将其应用于最初开发的其他区域。原则上，我们建议分别，顺序和迭代地分析和完善每个主要的水文过程。为了测试该方法，此处将HYPE模型概念（环境水文预测，最初是为瑞典开发的）应用于西非尼日尔河流域数据稀疏的地区。分析了基线Niger-HYPE模型中的错误，以识别描述不足的过程。随后，通过一系列针对概念开发，输入数据增强和多变量校准的实验对这些过程描述进行了隔离和完善。在现场放电观测，地球观测，当地专家知识和先前研究的指导下进行了完善。结果表明，原始模型概念可以模拟排放的年周期，但不能模拟幅度或日动态（56个站点的平均纳什-萨特克利夫效率= -1）。需要改进描述的主要过程是尼日尔内河三角洲的降水，蒸发，地表径流，入渗，土壤存储，储层调节，含水层补给，洪水和河流-大气交换。其中，瑞典和尼日尔河之间的蒸发，洪水和河流-大气交换差异很大，因此必须对模型概念进行完善。所有改进方案均以新模型版本（Niger-HYPE2.0）进行了综合，在整个盆地中均表现出色（56站平均Nash-Sutcliffe效率= 0.4）。这项研究证明了将模型应用到现成的危险，以及将模型概念应用到新区域时有义务仔细评估和修改过程描述的义务。此外，结果表明，我们与当地专家一起分别，顺序和迭代地完善过程的方法可以大大改善面向过程的水文模型。

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