Block Level Micro Watershed Prioritization Based on Morphometric and Runoff Parameters

Kiran V.S.S., Jai Sankar G., Jagannadha Rao M., Vijaya Kumar G.T., (doi: 10.23953/cloud.ijarsg.76)

Abstract


Water is one of the most and essential natural resource in the globe, without which our life cannot exist. The demand of water is increasing with the increase of population day by day. We need water for regular activities, drinking, industry, agriculture, human and cattle consumption. Therefore, it is very important to manage with this resource as a sustainable manner. However, we need proper development and management planning to restore or recharge water where highly runoff exists due to various topographical conditions. In this paper we concern the block based micro watershed study with the help of morphometric and Runoff estimation method. Remote sensing and GIS tools very significant for prioritization of micro watershed studies. NRSC Runoff Curve Number method is a quantitative descriptor of the land use and land cover, soil characteristics of watershed and its computed, runoff through an empirical relation that requires the rainfall and watershed co-efficient namely runoff curve number. These Curve Number approach to runoff volume is typically thought of as a method for generating the storm runoff. Where we also applied the common morphometric analysis method which has been commonly applied to the prioritization of watersheds and sub watersheds. Hence we applied the morphometric parameters where linear and aerial shape have been determined for each micro watershed and assigned rank on the basis of value or relationship with erodibility so as to arrive at a compound value for final ranking of the sub-watersheds. The runoff and morphometric parameters were obtained with the help of Remote Sensing and GIS tools. Based on output results of both parameters the final results revealed of micro watershed priorities are shown into five categorizes very high, high, medium, low and very low priority.


Keywords


Morphometric Parameters; Watershed Prioritization; Runoff Estimation; Land Use/Land Cover; Remote Sensing and GIS

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