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Estimation of spatial patterns of soil erosion using remote sensing and GIS: a case study of Indravati catchment

机译:利用遥感和GIS估算土壤侵蚀的空间格局:以Indravati流域为例

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Soil erosion is a serious environmental problem in Indravati catchment. It carries the highest amount of sediments compared with other catchments in India. This catchment spreading an area of 41,285 km2 is drained by river Indravati, which is one of the northern tributaries of the river Godavari in its lower reach. In the present study, USLE is used to estimate potential soil erosion from river Indravati catchment. Both magnitude and spatial distribution of potential soil erosion in the catchment is determined. The derived soil loss map from USLE model is classified into six categories ranging from slight to very severe risk depending on the calculated soil erosion amount. The soil erosion map is linked to elevation and slope maps to identify the area for conservation practice in order to reduce the soil loss. From the model output predictions, it is found that average erosion rate predicted is 18.00 tons/ha/year and sediment yield at the out let of the catchment is 22.30 Million tons per annum. The predicted sediment yield verified with the observed data.
机译:水土流失是Indravati流域的一个严重的环境问题。与印度的其他流域相比,它携带最多的沉积物。这个流域面积为41,285 km 2 的流域被Indravati河排干,Indravati河是戈达瓦里河下游的北部支流之一。在本研究中,USLE用于估算Indravati河集水区潜在的土壤侵蚀。确定流域潜在土壤侵蚀的大小和空间分布。根据计算得出的土壤侵蚀量,从USLE模型得出的土壤流失图可分为六类,从轻微到非常严重。水土流失图与高程图和坡度图链接,以识别保护区,以减少水土流失。从模型输出预测中可以发现,预测的平均侵蚀速率为18.00吨/公顷/年,流域出口处的沉积物产量为每年2230万吨。预计的泥沙产量已由观测数据证实。

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