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首页> 外文期刊>Journal of the American Water Resources Association >THE COMPARATIVE ACCURACY OF TWO HYDROLOGIC MODELS IN SIMULATING WARM-SEASON RUNOFF FOR TWO SMALL, HILLSLOPE CATCHMENTS
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THE COMPARATIVE ACCURACY OF TWO HYDROLOGIC MODELS IN SIMULATING WARM-SEASON RUNOFF FOR TWO SMALL, HILLSLOPE CATCHMENTS

机译：两种小坡度流域暖季径流模拟中两种水文模型的比较精度

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摘要

This article assesses the performance of two hydrologic models in simulating warm-season runoff for two upland, low-yield micro-catchments near Coshocton, Ohio. The two models, namely the Storm Water Management Model (SWMM) and the Gridded Surface-Subsurface Hydrologic Analysis (GSSHA), were implemented with contrasting levels of complexity, with the former representing the catchments as lumped spatial units and computing evaporation only from standing water, and the latter incorporating fine-scale variation in topography and soil properties and computing evapotranspiration from soil based on weather data. Our investigation began with uncalibrated model runs for 1990-2003 except for 1994 using a priori parameter values. Then a set of calibration experiments were performed wherein the sensitivity of model performance to the length of calibration records was examined. Our results pointed to large errors associated with simulations from both models: even the calibrated models were unable to reproduce the seasonal and between-catchment contrasts in runoff response. Using a priori parameter values, SWMM attained better results than GSSHA. However, with simple calibration, GSSHA outperformed SWMM in several respects. It was also found that extending the record of calibration rendered relatively minor changes to model performance. The practical and scientific implications of the findings are discussed.
机译：本文评估了两个水文模型在模拟俄亥俄州科肖克顿附近的两个高地低产微流域的暖季径流方面的性能。实施了两个模型，即雨水管理模型（SWMM）和网格化地表-地下水文分析（GSSHA），其复杂程度是相反的，前者将集水区表示为集总空间单位，仅计算积水的蒸发量，后者结合了地形和土壤特性的小尺度变化，并根据天气数据计算了土壤的蒸散量。我们的研究从1990年至2003年未经校准的模型运行开始，除了1994年使用先验参数值。然后进行一组校准实验，其中检查了模型性能对校准记录长度的敏感性。我们的结果表明，两个模型的模拟都存在较大的误差：即使是经过校准的模型也无法在径流响应中再现季节性和集水量之间的对比。使用先验参数值，SWMM比GSSHA获得更好的结果。但是，通过简单的校准，GSSHA在几个方面都优于SWMM。还发现扩展校准记录对模型性能的影响相对较小。讨论结果的实际和科学意义。

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