首页> 外文会议>Hydroinformatics 2006 vol.2 >PARAMETER SCALE ANALYSIS IN RUNOFF MODELLING IN SEMI-ARID REGIONS OF BRAZIL WITH THE MODEL NAVMO
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PARAMETER SCALE ANALYSIS IN RUNOFF MODELLING IN SEMI-ARID REGIONS OF BRAZIL WITH THE MODEL NAVMO

机译:用NAVMO模型在巴西半干旱地区径流建模中的参数标度分析。

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In contrast to small scales, large scales are heterogeneous and affect the parameters of relevant hydrologic processes. As a consequence, the parameter values vary as the basin area increase. Therefore, the modelling of a process (e.g., runoff) depends on a model capability of taking into account the heterogeneities that are common at regional scales. Once the relationships between the model parameters and basin area are established, the model can be used to simulate effectively. In this study, the effects of scale on the parameters of the distributed model NAVMO were investigated. The model parameters were calibrated by comparing observed and simulated runoffs at various sub-basins of two large semi-arid areas in the Northeast region of Brazil (SeNeB), the Paraiba (PBRB) and Piranhas (PIRB) river basins. For the PBRB the model was first applied to 9 plots (100 m~2), 4 micro-basins (5000-10000 m~2) and 3 sub-basins (10-140 km~2), and then to watersheds from 600 km~2 - 13000 km~2. For the PIRB, the model was applied to subbasins varying from 475 km~2 to 15000 km~2. The results showed that the simulated daily hydrographs, annual means and peak discharges approached reasonably well the observed values for all basins of both regions. Also, the model parameters changed as land use and rainfall changed. In addition, the parameters scale analysis showed that the SCS curve number, the Manning-Strickler roughness coefficient and direct runoff coefficient decreased as the catchment area increased, while the evapotranspiration parameter had the opposite effect. Based on regression analyses, relationships for determining the effective parameters values in terms of basin area were established for both regions.
机译:与小规模相比,大尺度是非均质的,并且会影响相关水文过程的参数。结果,参数值随流域面积的增加而变化。因此,过程的建模(例如,径流)取决于考虑到区域尺度上常见的异质性的模型能力。一旦建立了模型参数与流域面积之间的关系,就可以使用该模型进行有效模拟。在这项研究中,研究了规模对分布式模型NAVMO参数的影响。通过比较在巴西东北部(SeNeB),帕拉伊巴(PBRB)和比拉尼亚斯(PIRB)流域的两个大型半干旱地区不同子流域的观测和模拟径流,对模型参数进行了校准。对于PBRB,首先将模型应用于9个样地(100 m〜2),4个微流域(5000-10000 m〜2)和3个子流域(10-140 km〜2),然后应用于600个流域km〜2-13000 km〜2。对于PIRB,该模型应用于从475 km〜2到15000 km〜2的子流域。结果表明,两个地区所有流域的模拟日水位图,年均值和峰值流量均接近合理的观测值。此外,模型参数随土地利用和降雨的变化而变化。此外,参数规模分析表明,随着集水面积的增加,SCS曲线数,Manning-Strickler粗糙度系数和直接径流系数均减小,而蒸散参数的效果却相反。在回归分析的基础上,建立了两个地区确定流域面积有效参数值的关系。

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