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Use of high-resolution satellite data, GIS and NRCS-CN technique for the estimation of rainfall-induced run-off in small catchment of Jharkhand India

机译:利用高分辨率卫星数据,GIS和NRCS-CN技术估算印度贾坎德邦小流域降雨引起的径流

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摘要

The present study demonstrates the use of NRCS-CN technique for rainfall-induced run-off estimation using high-resolution satellite data for small watershed of Palamu district, Jharkhand. The CN model was applied to the daily rainfall data of 15 years (1986–2000) along with use of large-scale thematic maps (1:10,000) pertaining to land use/land cover using IRS-P6 LISS-IV satellite data. The LU/LC map was spatially intersected with the hydrological soil group map to calculate the watershed area under different hydrological similar units for assigning CN values to compute discharge. The study showed that Daltonganj watershed exhibits an average run-off volume of 7,881,019 m~3 from an average cumulative monsoon rainfall of 821 mm and the average actual direct run-off generated during the southwest monsoon season was 203 mm. The strong correlation between rainfall and run-off as well as between observed run-off and estimated run-off indicated high accuracy of run-off estimation by NRCS-CN technique.
机译:本研究证明了使用NRCS-CN技术进行降雨诱导的径流估算,该方法使用了高分辨率的卫星数据,对贾坎德邦帕拉穆地区的小流域进行了估算。 CN模型已应用到15年(1986-2000年)的每日降雨数据中,并使用了与IRS-P6 LISS-IV卫星数据有关的土地利用/土地覆盖的大规模专题图(1:10,000)。将LU / LC图与水文土壤组图在空间上相交,以计算不同水文相似单位下的流域面积,以分配CN值来计算流量。研究表明,Daltonganj流域平均季风雨量为821 mm,平均径流量为7,881,019 m〜3,西南季风季节平均实际直接径流量为203 mm。降雨与径流之间以及观测到的径流与估算径流之间的强相关性表明,NRCS-CN技术的径流估算具有很高的准确性。

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