Integrated Geomorphological Assessment of the Nirguna (Bhikund) River Watershed Using Remote Sensing and GIS Technique

Mahesh D. Phalke *

PG Department of Geology, Sant Gadge Baba Amravati University, Amravati (MS), India.

Khadri SFR

Civil Engineering Department, Velagapudi Ramakrishna Engineering College (Autonomous), Vijaywada-520007, AP, India.

*Author to whom correspondence should be addressed.


Abstract

It has been attempted to define the different groundwater potential zones based on hydro geomorphological studies through detailed morphometric research of the Nirguna (Bhikund) river watershed in Akola and Washim Districts. Morphometric analysis is the measuring and quantitative examination of the landforms' dimensions, shapes, and configurations on Earth. A low to moderate drainage density is indicated by the research area's drainage density (D) value. Maps have been created to illustrate many topics by applying remote sensing and GIS technology. Portion and enhancing the possibility for groundwater. Additional research using high-resolution remote sensing and GIS in the field, integrating remote sensing data with ground control data is more efficient for creating the right kind of Mechanisms for managing natural resources. The examination of all morphometric parameters indicates that the drainage development has been influenced by lithology and that the erosional development of the land by the streams has advanced well. Planning for rainwater collecting and watershed management can greatly benefit from this study. The detail study of geomorphological aspects have been carried out which suggests that there are five mainly landforms have been depicted such as anthropogenic origin, denudational origin, Fluvial origin, structural origin and water bodies mainly. 

Keywords: Groundwater, geomorphology, drainage, flooding, lithology, GIS


How to Cite

Phalke, Mahesh D., and Khadri SFR. 2025. “Integrated Geomorphological Assessment of the Nirguna (Bhikund) River Watershed Using Remote Sensing and GIS Technique”. Asian Journal of Geographical Research 8 (3):163-72. https://doi.org/10.9734/ajgr/2025/v8i3284.

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