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首页> 外文期刊>Catena: An Interdisciplinary Journal of Soil Science Hydrology-Geomorphology Focusing on Geoecology and Landscape Evolution >Reliability of an expert-based runoff and erosion model: application of STREAM to different environments.
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Reliability of an expert-based runoff and erosion model: application of STREAM to different environments.

机译：基于专家的径流和侵蚀模型的可靠性：STREAM在不同环境中的应用。

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摘要

During the last decades, the European loess belt has been confronted with a significant increase in environmental problems due to erosion on agricultural land. Spatially distributed runoff and erosion models operating at the catchment scale are therefore needed to evaluate the impact of potential mitigation measures. Expert-based models offer an alternative solution to process-based and empirical models, but their decision rules are only valid for the local conditions for which they have been derived. The STREAM model, which was developed in Normandy (France), has been applied in two Belgian catchments having a similar soil texture, as well as in a catchment of southern France differing by soil, land use and climate characteristics. The performance of hydrological models can be assessed for instance by calculating the Nash-Sutcliffe efficiency criterion (ENS). When applied to Belgium, the model results are satisfactory to good after an adaptation of the decision rules (0.90 < ENS < 0.93 for runoff predictions and 0.85 < ENS < 0.89 for erosion predictions). Given the important environmental differences between Normandy and southern France, the model rules were also adapted for application in the latter environment. Unfortunately, the quality of runoff predictions was insufficient to simulate erosion in southern France. In conclusion, STREAM is a reliable model providing satisfactory runoff and erosion predictions in the regions where hortonian overland flow dominates. Nevertheless, an adaptation of decision rules based on local multi-scale (plot, field, catchment) data is needed, before running the model. STREAM can then serve as a decision support tool to design for instance flood control measures.
机译：在过去的几十年中，由于农业土地的侵蚀，欧洲黄土带面临着环境问题的显着增加。因此，需要在流域尺度上运行的空间分布径流和侵蚀模型来评估潜在缓解措施的影响。基于专家的模型为基于过程和经验的模型提供了一种替代解决方案，但是它们的决策规则仅对衍生它们的本地条件有效。在法国诺曼底开发的STREAM模型已应用于两个土壤质地相似的比利时流域，以及在法国南部流域的土壤，土地用途和气候特征不同的流域。水文模型的性能可以通过计算Nash-Sutcliffe效率标准（ E NS ）来评估。当应用于比利时时，模型的结果在修改了决策规则后（径流预测为0.90 i> E NS <0.93，0.85 i> E NS <0.89用于侵蚀预测）。考虑到诺曼底和法国南部之间的重要环境差异，模型规则也进行了修改，以适用于后者。不幸的是，径流预报的质量不足以模拟法国南部的侵蚀。总而言之，STREAM是一个可靠的模型，在以霍顿水为主导的地区，可以提供令人满意的径流和侵蚀预测。但是，在运行模型之前，需要根据本地多尺度（地块，田野，流域）数据对决策规则进行调整。然后，STREAM可以用作决策支持工具，以设计防洪措施。

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