Remote Sensing and GIS in the Morphometric Analysis Of
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 03 Issue: 02 | Feb-2016 www.irjet.net p-ISSN: 2395-0072 Remote sensing and GIS in the morphometric analysis of macro- watersheds for hydrological Scenario assessment and characterization - A study on Penna river sub-basin, SPSR Nellore district, India. N.Harish1, P. Siva Kumar2, M. Siva Raja3 , V. Lokesh4, M.V. Gopi Santosh Reddy5, Sk. Shalisad6, S. Sazid7 1Assistant Professor, Department of Civil Engineering, NBKRIST, Nellore, India-524413 2,3,4,5,6,7 UG-students, NBKRIST, Nellore, India-524413 ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract – Hydrological assessment and characterization of methods to quantify the land exteriors (Singh, 1992; and Dar the macro-watersheds of Pennar river sub-basin is et al. 2013). Consequently, the process is responsible for a done through the analysis and evaluation of various drainage holistic understanding of hydrologic behavior of a and topographic parameters. The morphometric approach watershed. Similarly, some of the morphometric parameters, involving the analysis of Digital elevation model has largely like, circularity ratio and bifurcation ratio are input helped in the logical assessment of hydrological character of parameters in the hydrological analysis (Jain, 2000 and the basin. The analysis of various linear and areal aspects has Esper, 2008) and evaluation of surface water potentiality of revealed that the topographical configuration and an area (Suresh, 2004). A more realistic approach of geomorphic setting of the basin has assumed a dendritic drainage morphometric analysis is employed by using the drainage pattern with 5th order drainage. Consequently, the drainage network extracted from the Digital Elevation Model study helped in the identification and mapping the potentiality (DEM) as suggested by Callaghan, 1984 and Bhat, 2009.
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