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首页> 外文期刊>Hydrology and Earth System Sciences >Assessment of uncertainties in soil erosion and sediment yield estimates at ungauged basins: an application to the Garra River basin, India
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Assessment of uncertainties in soil erosion and sediment yield estimates at ungauged basins: an application to the Garra River basin, India

机译:在Ungauged盆地的土壤侵蚀和沉积物收益率估算中的不确定因素评估:印度Garra River盆地的应用

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摘要

High soil erosion and excessive sediment load are serious problems in several Himalayan river basins. To apply mitigation procedures, precise estimation of soil erosion and sediment yield with associated uncertainties are needed. Here, the revised universal soil loss equation (RUSLE) and the sediment delivery ratio (SDR) equations are used to estimate the spatial pattern of soil erosion (SE) and sediment yield (SY) in the Garra River basin, a small Himalayan tributary of the River Ganga. A methodology is proposed for quantifying and propagating uncertainties in SE, SDR and SY estimates. Expressions for uncertainty propagation are derived by first-order uncertainty analysis, making the method viable even for large river basins. The methodology is applied to investigate the relative importance of different RUSLE factors in estimating the magnitude and uncertainties in SE over two distinct morphoclimatic regimes of the Garra River basin, namely the upper mountainous region and the lower alluvial plains. Our results suggest that average SE in the basin is very high (23 +/- 4.7 t ha(-1) yr(-1)) with higher values in the upper mountainous region (92 +/- 15.2 t ha(-1) yr(-1)) compared to the lower alluvial plains (19.3 +/- 4 t ha(-1) yr(-1)). Furthermore, the topographic steepness (LS) and crop practice (CP) factors exhibit higher uncertainties than other RUSLE factors. The annual average SY is estimated at two locations in the basin - Nanak Sagar Dam (NSD) for the period 1962-2008 and Husepur gauging station (HGS) for 1987-2002. The SY at NSD and HGS are estimated to be 6.9 +/- 1.2 x 10(5) t yr(-1) and 6.7 +/- 1.4 10(6) t yr(-1), respectively, and the estimated 90% interval contains the observed values of 6.4 +/- 10(5) t yr(-1) and 7.2 +/- 10(6) t yr(-1), respectively. The study demonstrated the usefulness of the proposed methodology for quantifying uncertainty in SE and SY estimates at ungauged basins.
机译:高土壤侵蚀和过度沉积物负荷是几个喜马拉雅河流域的严重问题。为了应用缓解程序,需要精确地估计土壤侵蚀和沉积物产量与相关的不确定性。这里,修订的通用土壤损失方程(风格)和沉积物输送比(SDR)方程用于估计Garra River盆地的土壤侵蚀(SE)和沉积物产量(SY)的空间级联,这是一个小型喜马拉雅山脉支流江河。提出了一种用于量化和传播SE,SDR和SY估计的不确定性的方法。通过一阶不确定性分析来源的不确定繁殖的表达,即使对于大型河流盆地也是可行的方法。该方法应用于研究不同风险因素在估计戈拉河流域的两种不同形态的形态学制度中的不同风险因素的相对重要性,即上山地区和下升水平原。我们的研究结果表明,盆地的平均SE非常高(23 +/- 4.7 t ha(-1)yr(-1)),上山区的值较高(92 +/- 15.2 t ha(-1)与下激增平原(19.3 +/- 4 t ha(-1)Yr(-1))相比,Yr(-1))。此外,地形陡度(LS)和作物实践(CP)因子表现出比其他风险因子更高的不确定性。 1962 - 2008年期间的盆地 - 纳克萨吉尔大坝(NSD)的两个地点估计了年平均SY,1987 - 2002年的HusePur测量站(HUGS)。 NSD和HGS的SY估计为6.9 +/- 1.2 x 10(5)T YR(-1)和6.7 +/- 1.4 10(6)T YR(-1),估计90%间隔含有观察到的6.4 +/- 10(5)T YR(-1)和7.2 +/- 10(6)T YR(-1)的值。该研究表明,在未吞噬盆地的SE和SY估算中,所提出的方法的有用性。

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