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Research Article Open access CC BY 4.0

Morphometric Analysis of River Donga Watershed in Taraba State Using Remeote Sensing and Gis Techniques

Adelalu, Temitope Gabriel, Yusuf, Mohammed Bakoji, Ibrahim Abdullahi, Idakwo Victor Iko-Ojo

Journal of Geography, Environment and Earth Science International · pp. 1–13 · Published 12 Apr 2019

10.9734/jgeesi/2019/v20i330106

Abstract

As climate change infiltrate and influence every sphere of the globe, the continuous study of the drainage features and assessment of the drainage basin as a fundamental geomorphic unit in water resources development and management cannot be relegated. This work has considered the analytical description of the physical division of RDCA. The three domains of the morphometric parameters (linear, areal, and relief aspects of the basin) were considered for the analysis.  Remote sensing and GIS techniques were adopted in the analysis of the data using hydrological and surface tool in ArcGIS 10.2. The acquired SRTM DEM was used to delineate the catchment area and major morphometric parameters were estimated. The results show that the basin is elongated with low leminiscate ratio. RDCA is a 7th order drainage basin, with an area of 11,355 km2, having a length of about 164 km2. Value of drainage density indicates moderate runoff potentials. Stream frequency, bifurcation ratio and constant channel maintenance indicate medium permeability and that the basin produces a flatter peak of direct runoff for a longer duration. Channel encroachment, land use and land cover change seems the cause of perennial flooding in the region than change in drainage features. This study provides scientific database for further comprehensive hydrological investigation of RDCA around which Kashimbilla dam is located.

Catchment area GIS morphometric parameters river Donga water resources development and management.

Cited by 2

GIS-Based Flash Flood Hazard Evaluation in Helwan-Atfih Area, Egypt

Safinaz A. A. Mahmoud, Sayed Mosaad, I. Z. El-Shamy · Journal of the Indian Society of Remote Sensing · 2024

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