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Application of NRSC-SCS curve number model in runoff estimation using RS GIS

机译:NRSC-SCS曲线编号模型在RS&GIS中的径流估计中的应用

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This study aims to determine the runoff depth using NRCS-CN method with Remote sensing and Geographical Information System (GIS) and the effect of slope on runoff generation. This study was carried out in Bamhani catchment located in Mandla district of Madhya Pradesh. The USDA NRCS- CN method was applied for estimating the runoff depth in the Bamhani catchment. Soil map, Land Use and slope map were generated in GIS (Geographical Information System) Environment. The curve number method was followed to estimate runoff depth for selected storm events in the watershed. Effect of slope on CN values and runoff depth was determined. Statistically positive correlations were detected between between estimated and observed runoff depth is 0.77 and slope adjusted vs. observed runoff depth is 0.76. The result showed that the CN unadjusted value are lower in comparison to CN adjusted with slope. Remote sensing and GIS is very reliable technique for the preparation of most of the input data required by the SCS curve number model.
机译:本研究旨在利用NRCS-CN方法确定利用遥感和地理信息系统(GIS)的径流深度以及斜率对径流生成的影响。该研究在位于马歇尔邦曼德拉区的Bamhani集水区进行。应用USDA NRCS-CN方法来估计Bamhani集水区中的径流深度。在GIS(地理信息系统)环境中产生了土壤图,土地利用和斜率图。遵循曲线编号方法,以估计分水岭中所选风暴事件的径流深度。确定了斜率对CN值和径流深度的影响。在估计和观察到的径流深度之间检测到统计上的正相关性为0.77,并且斜率调整为Vs。观察到的径流深度为0.76。结果表明,与斜率调整的CN相比,CN未调节的值较低。遥感和GIS是非常可靠的技术,用于编制SCS曲线数模型所需的大多数输入数据。

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