Watershed prioritization is beneficial for soil, groundwater development as well as for the implementation of the artificial recharge schemes. It is a well-known scientific process of drainage network delineation and ranking of different sub-watersheds of a basin. This is the mostly adopted morphometric interpretation and assessment technique and used for prioritization of watershed. In the present study, morphometric analysis of the Deonar river sub basin has been carried out to interpret and assess its hydrological importance. The study was carried out using geospatial approach and it is reflected in morphometric parameters such as linear, areal and relief aspects of the watershed. Detailed morphometric analysis and drainage map has been prepared from ASTER DEM (digital elevation model) having 30m spatial resolution using GIS environment. The delineated and analysed morphometric parameters are helpful for planning of soil and water conservation with the PCA approach. Principal component analysis (PCA) is a well-known technique that reduces the dimensionality of the given input data set which maximizes the amount of variance information. The delineated drainage order comes 1 to 5 and the watershed comprises of 6 sub-watersheds named as SW-I to SW-VI were analyzed. Based on Deonar river sub basin morphometric analysis, the sub-watershed is categorised into three classes as high, medium and low priority zones. Watershed prioritization and correlation of morphometric parameters of the Deonar river basin illustrates and indicates the high priority due to the greater degree of erosion. The analysed result is useful for making better planning and management, to identify the artificial recharge structures of the various sub-watersheds for improving the water potentiality.

分水岭的优先排序有利于土壤，地下水的开发以及人工补给计划的实施。这是流域划分和划分流域不同子流域等级的众所周知的科学过程。这是最常用的形态计量学解释和评估技术，用于分水岭的优先级划分。在本研究中，对Deonar河子盆地进行了形态计量学分析，以解释和评估其水文重要性。该研究是使用地理空间方法进行的，并反映在形态参数中，例如流域的线性，面积和起伏方面。使用GIS环境，已从具有30m空间分辨率的ASTER DEM（数字高程模型）制作了详细的形态计量学分析和排水图。所描绘和分析的形态计量学参数有助于通过PCA方法规划水土保持。主成分分析（PCA）是一种众所周知的技术，它可以降低给定输入数据集的维数，从而使差异信息量最大化。划定的排水顺序为1到5，分水岭由6个子流域组成，分别命名为SW-I到SW-VI。基于Deonar河次流域形态分析，该分水岭分为高，中，低优先级三类。Deonar流域的分水岭优先级和形态参数的相关性说明并指出了优先考虑的优先级，因为其侵蚀程度更大。分析结果有助于更好地进行计划和管理，