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Assessment of evapotranspiration simulations in the Mal?e basin

机译:马累盆地蒸散模拟的评估

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The application of the distributed hydrological model brings the benefits of assessment of the spatially distributed quantities which are hard to measure in the field over a larger area, e.g. evapotranspiration. The Mal?e River basin has been chosen for the evaluation of evapotranspiration simulation by the distributed hydrological model, SWIM (Soil and Water Integrated Model). The primary interest in this analysis was to assess the ability of the hydrological model to simulate the actual evapotranspiration on larger scales and to evaluate its dependence on the landscape characteristics such as the vegetation cover, soil type, and average precipitation amount during the simulation. Annual actual evapotranspiration in each hydrotope was evaluated in the simulation period of 1985–1998. Because of the lack of the data observed (evapotranspiration), the model was calibrated on the discharge time series. The credibility was quantified using Nash Sutcliffe efficiency which was more than 0.7. The main trends of the simulated actual evapotranspiration were evaluated and assessed as satisfactory. The differences in the soil types did not seem significant for the evapotranspiration variation, the monthly average values among soil types differing by ± 10% except histosol. On the other hand the differences in the land-use categories strongly influenced the amount of evapotranspiration (–30; +50%). It appears that the model SWIM overestimates the actual evapotranspiration in the spring and, on the other hand, underestimates that in the autumn according to the comparison with the only data available in the entire Climate Atlas of the Czech Republic.
机译:分布式水文模型的应用带来了对空间分布量进行评估的好处,这些空间分布量难以在较大区域(例如,大面积)的现场进行测量。蒸散。已通过分布式水文模型SWIM(土壤与水综合模型)选择了Malee流域进行蒸散模拟评估。该分析的主要兴趣是评估水文模型在更大范围内模拟实际蒸散量的能力,并评估其对景观特征(如植被覆盖,土壤类型和平均降水量)的依赖性。在1985-1998年的模拟期中,对每个水位的年实际蒸散量进行了评估。由于缺少观察到的数据(蒸散),因此在排放时间序列上对模型进行了校准。可信度使用大于0.7的Nash Sutcliffe效率进行量化。模拟的实际蒸散量的主要趋势被评估为令人满意。对于蒸散量的变化,土壤类型的差异似乎并不显着,除组织溶胶外,土壤类型之间的月平均值相差±10%。另一方面,土地利用类别的差异极大地影响了蒸散量(–30; + 50%)。根据与整个捷克共和国气候图集中唯一可用数据的比较,SWIM模型似乎高估了春季的实际蒸散量,而另一方面却低估了秋季的实际蒸散量。

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