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首页> 外文期刊>Indian Journal of Soil Conservation >Runoff estimation by composite and distributed curve number methods using remote sensing data
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Runoff estimation by composite and distributed curve number methods using remote sensing data

机译:利用遥感数据通过组合和分布曲线数法估算径流

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摘要

The comparison between composite and distributed curve number methods for runoff estimation was carried out in a study undertaken in the Kathajodi-Surua Inter-basin in the Odisha state of Eastern India. Indian Remote Sensing IRS P6 MX images were analyzed for classifying the land use/land cover of the study basin. The land use/land cover map of the basin were superimposed with the corresponding soil map to come out with the hydrologic soil cover complex or curve number distribution in the basin. Thecomposite curve number of the entire area was computed by weighted average of the curve number of each polygon in the hydrologic soil cover complex map with respect to their area. Using distributed curve number technique, runoff was simulated at each grid and averaged at the outlet of the basin and finally compared with the values obtained from compositing technique. The study revealed that there is definite increase in runoff value estimated by distributed curve number method over the traditional composite curve number method. The higher estimated runoff in distributed curve number method has been explained by a hypothetical example.
机译:在印度东部奥里萨邦的Kathajodi-Surua跨流域进行的一项研究中,对合成和分布曲线数法进行径流估算的比较进行了比较。对印度遥感IRS P6 MX图像进行了分析,以对研究盆地的土地利用/土地覆盖进行分类。将流域的土地利用/土地覆盖图与相应的土壤图叠加在一起,得出流域内的水文土壤覆盖复合物或曲线数分布。通过水文土壤覆盖物复杂图中每个多边形相对于其面积的加权平均数,可以计算出整个区域的复合曲线数。使用分布曲线数技术,在每个网格处模拟径流,并在流域出口处进行平均,最后与从合成技术获得的值进行比较。研究表明,用分布曲线数法估算的径流值比传统的复合曲线数法有一定的增加。通过一个假设的例子解释了分布式曲线数法中较高的估计径流量。

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