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Watershed prioritization for soil and water conservation in Darna River basin: a PCA approach

机译:Darna River盆地水土保持的流域优先级:PCA方法

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The watershed management techniques for prioritization have a great significance in the conservation of soil and water resources. The present study exhibits the importance of principal component analysis (PCA) for the prioritization of sub-watersheds in the upper Darna River basin of Maharashtra. The paper aims to find out more effective geomorphic parameters of sub-watersheds in terms of the identification of more susceptible soil erosion watersheds for prioritization. The seven sub-watersheds of fourth order and three sub-watersheds of fifth order have been selected for the present study, which consists of 253.86 km~2 area. ArcGIS software is used for morphometric analysis of 13 geomorphic parameters that are categorized as aerial, linear and relief aspects. The PCA was performed by SPSS 25.0 software for classification and to find out the correlation of geomorphic parameters. The result reveals that the stream frequency (F_s), relative relief (R_r), and ruggedness number (R_n) are strongly correlated and have an eigenvalue greater than 1, accounts together to 85.507% of the total variance. It also discloses that the sub-watershed-5 has high priority and sub-watershed-1 has low priority; therefore, accordingly they are proposed for further water and soil conservative measures. This study is useful to provide a better perspective for decision-making and guidelines for proper soil and water resource management.
机译:优先化的流域管理技术对土壤和水资源的保护具有重要意义。本研究表现出主成分分析(PCA)在马哈拉施特拉上部达尔纳河流域的优先级排序的重要性。本文旨在在鉴定更敏感的土壤侵蚀流域进行优先排序方面找出次流域的更有效的地貌参数。为目前的研究选择了第四阶和三个子流域的第四阶和三个子流域,其中包括253.86 km〜2区域。 ArcGIS软件用于对13个几何参数的形态学分析,该参数被视为空中,线性和浮雕方面。 PCA由SPSS 25.0软件进行分类,并找出几何参数的相关性。结果表明,流频率(F_S),相对浮雕(R_R)和坚固性数字(R_N)强烈相关,并且具有大于1的特征值,占总方差的85.507%。它还公开了亚流域-5具有高优先级,亚流域-1具有低优先级;因此,因此提出了进一步的水和土壤保守措施。本研究可用于为适当的土壤和水资源管理提供更好的决策和指导方针提供更好的视角。

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