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Using GIS for facilitating Sediment Yield Estimation

机译:使用GIS促进泥沙产量估算

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The soil erosion from land areas can significantly causes damages to the terrestrial habitat and also has serious environmental impacts. In this study the Geographic Information System (GIS) combined with the sediment yield model can enhance the evaluation of soil erosion estimation. Geographic Information System with the Modified Universal Soil Loss Equation (MUSLE) was used to estimate sediment yield on a Ebbanad watershed of Lower Bhavani Catchment, Nilgiris district, India. Spatial data from different sources provided input for the factors in the MUSLE and from 20 years (1981 ― 2001) of rainfall records the storms were identified for determining the sediment yield estimation. The study watershed comprises of 29.2 per cent of annual cropping, 37.3 per cent of perennial cropping and 17.6 per cent of reserve forest. The drainage area, drainage network, slope and aspect were extracted from Digital Elevation Model (DEM) prepared from Survey of India toposheet at 1:50000 scale using IDRISI-32 GIS software. The surface runoff was under predicted for some of the storms and over predicted for some others. A sediment yield map of Ebbanad watershed from GIS predicts the degrees of erosion areas. The sediment yield was observed to be minimum in the range of 0 ― 2 tons on Reserve forest and Perennial crop areas for all the storm events and on an average between 4 to 20 tons from annual crop areas.
机译:陆地地区的水土流失会严重破坏陆地生境,并对环境造成严重影响。在这项研究中,地理信息系统(GIS)结合泥沙产量模型可以增强对土壤侵蚀评估的评估。使用带有修改后的通用土壤流失方程(MUSLE)的地理信息系统来估计印度Nilgiris地区下Bhavani集水区的Ebbanad流域的沉积物产量。来自不同来源的空间数据为MUSLE中的因子提供了输入,并且从20年(1981-2001年)的降雨记录中,可以识别出暴风雨来确定沉积物产量估算。该研究分水岭占年度产量的29.2%,多年生作物的37.3%和保留林的17.6%。排水面积,排水网络,坡度和坡向均使用IDRISI-32 GIS软件从数字高程模型(DEM)中提取,数字高程模型是从印度调查表制作的,比例为1:50000。对于某些暴风雨,地表径流低于预期,而对于其他暴风雨,地表径流则高于预期。地理信息系统(GIS)的埃巴纳德(Ebbanad)流域沉积物产量地图可预测侵蚀区域的程度。在所有风暴事件中,观察到的沉积物产量在储备林和多年生作物区域的最小范围为0到2吨不等,平均年度作物面积的平均产量在4到20吨之间。

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