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Analysis of the Runoff for Watershed Using SCS-CN Method and Geographic Information Systems

机译:利用SCS-CN方法和地理信息系统分析流域径流

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The Soil Conservation Service Curve Number (SCS-CN) method is widely used for predicting direct runoff volume for a given rainfall event. The applicability of the SCS-CN method and the runoff generation mechanism were thoroughly analyzed in a Mediterranean experimental watershed in Hyderabad. The region is characterized by a Mediterranean semi-arid climate. A detailed land cover and soil survey using remote sensing and GIS techniques, showed that the watershed is dominated by coarse soils with high hydraulic conductivities, whereas a smaller part is covered with medium textured soils and impervious surfaces. The analysis indicated that the SCS-CN method fails to pre direct runoff for the storm events studied, and that there is a strong correlation between the CN values obtained from measured runoff and the rainfall depth. The hypothesis that this correlation could be attributed to the existence of an impermeable part in a very permeable watershed was examined in depth, by developing a numerical simulation water flow model for predicting surface runoff generated from each of the three 15 soil types of the watershed. The results support the validity of this hypothesis for most of the events examined where the linear runoff formula provides better results than the SCS-CN method. The runoff coefficient of this formula can be taken equal to the percentage of the impervious area. However, the linear formula should be applied with caution in case of 20 extreme events with very high rainfall intensities. In this case, the medium textured soils may significantly contribute to the total runoff and the linear formula may significantly underestimate the runoff produced.
机译:土壤保护服务曲线编号法(SCS-CN)被广泛用于预测给定降雨事件的直接径流量。在海得拉巴的一个地中海实验流域中,对SCS-CN方法的适用性和径流产生机理进行了详尽的分析。该地区的特点是地中海半干旱气候。使用遥感和GIS技术进行的详细土地覆盖和土壤调查显示,该流域主要是具有高水力传导率的粗糙土壤,而较小的部分则被中等质地的土壤和不透水的表面覆盖。分析表明,SCS-CN方法无法针对研究的暴风雨事件直接预测径流,并且从实测径流获得的CN值与降雨深度之间存在很强的相关性。通过建立数值模拟水流模型来预测由15种流域的每种土壤类型产生的地表径流,深入研究了这种相关性可能归因于高渗透性流域中不可渗透部分存在的假设。结果证明了该假设对大多数检验事件的有效性,其中线性径流公式提供的结果优于SCS-CN方法。该公式的径流系数可以等于不透水面积的百分比。但是,在出现20个极端事件且降雨强度很高的情况下,应谨慎使用线性公式。在这种情况下,中等质地的土壤可能对总径流量有很大贡献,而线性公式可能会大大低估所产生的径流量。

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