...
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
【24h】

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

获取原文
获取原文并翻译 | 示例

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:在几个喜马拉雅河流域,高土壤侵蚀和过量泥沙是严重的问题。为了应用缓解程序,需要精确估计土壤侵蚀和产沙量以及相关的不确定性。在这里,修正后的通用土壤流失方程(RUSLE)和输沙率(SDR)方程被用于估算恒河喜马拉雅小支流加拉河流域的土壤侵蚀(SE)和产沙量(SY)的空间格局。提出了一种量化和传播SE、SDR和SY估计中不确定性的方法。通过一阶不确定性分析,推导出了不确定性传播的表达式,使该方法即使适用于大型河流流域。该方法用于研究不同RUSLE因素在估算加拉河流域两种不同地貌气候条件下SE的大小和不确定性时的相对重要性,即上部山区和下部冲积平原。我们的结果表明,该盆地的平均硒含量非常高(23+/-4.7吨公顷(-1)年(-1)),与较低的冲积平原(19.3+/-4吨公顷(-1)年(-1))相比,上层山区的硒含量更高(92+/-15.2吨公顷(-1)年(-1))。此外,地形陡度(LS)和作物实践(CP)因素比其他RUSLE因素表现出更高的不确定性。流域内两个位置的年平均SY估计值为1962-2008年间的Nanak Sagar大坝(NSD)和1987-2002年间的Husepur测量站(HGS)。NSD和HGS的SY估计分别为6.9+/-1.2 x 10(5)t年(-1)和6.7+/-1.4 10(6)t年(-1),估计的90%区间分别包含6.4+/-10(5)t年(-1)和7.2+/-10(6)t年(-1)的观测值。该研究证明了所提出的方法对于量化无资料盆地SE和SY估计中的不确定性的有用性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号