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Assessing gully erosion susceptibility in Mayurakshi river basin of eastern India

机译:评估印度东部Mayurakshi流域的沟壑侵蚀敏感性

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The present study assessed the extent to which the gully erosion susceptibility could be successfully modeled in Mayurakshi river basin as a function of four gully controlling factor clusters (topographical, erosivity, erodibility, and resisting). Gully erosion zones have been identified through two different models (correlation matrix and logistic regression) incorporating 15 conditioning indicators. Both the models have generated quite identical result regarding gully erosion susceptibility. It illustrates that extreme erosion-susceptible zones cover almost 16% of the basin area followed by high susceptibility with almost 28% areal coverage. This susceptibility is dominantly confined within the upper catchment. Older and newer alluvial plains of the lower catchment belong to low susceptibility to relatively safe situation. Models are validated by constructing ROC curve and calculating Kappa statistics. Both the approaches certified the validity of the models. The factor clustering shows that the positively influencing clusters like erosivity factors and erodibility factors are playing a dominant role with, respectively, 76 and 75% correlation with gully erosion susceptibility, whereas the resistant factors achieved only 32% correlation which denotes week significance due to containing sparse vegetation cover having low canopy density as well as poor crop management and conservation practice.
机译:本研究评估了Mayurakshi流域中的沟壑易感性可以成功建模的程度,这是四个沟壑控制因子簇(地形,侵蚀性,易蚀性和抵抗力)的函数。通过两个不同的模型(相关矩阵和逻辑回归),已识别出沟壑侵蚀带,其中包含15个条件指标。两种模型在沟壑侵蚀敏感性方面都产生了完全相同的结果。它说明了极端侵蚀敏感区覆盖了近16%的流域面积,其次是高度敏感区,几乎覆盖了28%的面积。这种敏感性主要局限于上流域。下流域的较新的和较新的冲积平原属于相对安全情况的低敏感性。通过构建ROC曲线并计算Kappa统计数据来验证模型。两种方法都证明了模型的有效性。因子聚类表明,侵蚀性因子和易蚀性因子等积极影响聚类起主要作用,其与沟蚀敏感性之间的相关性分别为76%和75%,而抗性因子仅达到32%的相关性,这表明由于含糖量高植被稀疏,树冠密度低,作物管理和保护实践差。

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