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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM66229
Volume:
10 |
7 |
Jul 2026
Pages:
1-10
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Department of Geology
SAM Global University, Bhopal
V.C. of SAM Globle University
2. Maharishi Uniuversity, Management and Technology, Bilaspur (C.G.), India
Department of Science Technology Govt.of M.P.
SAM Global University, Bhopal
The present study investigates the geomorphological, geological, and hydro-geomorphological characteristics of the Ton Basin located in the Maihar region of Madhya Pradesh, India, using Remote Sensing (RS) and Geographic Information System (GIS) techniques. Sustainable management of groundwater and land resources requires a comprehensive understanding of terrain characteristics, drainage patterns, lithological formations, and hydro-geomorphological conditions. Conventional field investigations alone are often time-consuming and expensive, whereas RS and GIS provide efficient tools for regional-scale analysis. Satellite imagery, digital elevation models (DEM), topographic maps, and geological datasets were integrated in a GIS environment to prepare thematic layers such as geology, geomorphology, drainage, slope, land use/land cover, and hydro-geomorphology. These datasets were analyzed to identify groundwater potential zones and evaluate the influence of geological formations on groundwater occurrence. The study reveals that the Ton Basin exhibits diverse geomorphological units, including structural hills, pediplains, alluvial plains, denudational hills, and valley fills. The drainage network shows dendritic and sub-dendritic patterns, indicating varying lithological controls. Groundwater occurrence is strongly influenced by slope, fracture density, weathered rock thickness, and drainage characteristics. Valley-fill deposits and alluvial plains demonstrate high groundwater potential, whereas structural hills and steep slopes exhibit comparatively poor groundwater prospects. The integration of Remote Sensing and GIS significantly improves the accuracy of hydro-geomorphological mapping and groundwater resource assessment. The findings of this research provide valuable information for groundwater development, watershed management, agricultural planning, and sustainable environmental management in the Ton Basin.
KEYWORDS
The present investigation demonstrates the usefulness of integrated Remote Sensing and GIS techniques in geological, geomorphological, and hydro-geomorphological assessment of the Ton Basin. The major conclusions are summarized below: · Remote Sensing provides accurate identification of landforms and geological formations. · GIS enables efficient integration of multiple spatial datasets. · Valley-fill deposits and alluvial plains possess the highest groundwater potential. · Structural hills and steep slopes exhibit poor groundwater prospects. · Geological structures significantly influence groundwater occurrence. · Drainage density and slope are major controlling factors of groundwater recharge. · The generated groundwater potential map can assist planners in sustainable groundwater development. Overall, the integrated RS–GIS approach provides reliable scientific information for groundwater exploration, watershed planning, environmental conservation, and agricultural development.
1. Chow, V. T. (2010). Applied Hydrology. McGraw-Hill. 2. ESRI. (2022). ArcGIS Pro Documentation. 3. Geological Survey of India (GSI). (2021). Geological Atlas of Madhya Pradesh. 4. Jensen, J. R. (2016). Remote Sensing of the Environment. Pearson. 5. Lillesand, T. M., Kiefer, R. W., & Chipman, J. (2015). Remote Sensing and Image Interpretation. Wiley. 6. NRSC. (2020). Remote Sensing Applications in Groundwater Studies. 7. Rao, D. P. (2002). Remote Sensing for Earth Resources. BS Publications. 8. Survey of India. (2021). Topographical Maps of Madhya Pradesh. 9. Todd, D. K., & Mays, L. W. (2011). Groundwater Hydrology. Wiley. 10. United States Geological Survey (USGS). (2022). Digital Elevation Models User Guide.
Publication Date
7/18/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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