Published on: June 2026
FLOOD SUSCEPTIBILITY MODELLING USING QGIS SOFTWARE OF KARHA RIVER BASIN
Dilip Patil Tejas Ghadge Arjun Pawar Tushar Darade Aaditya Chandgude
Baramati, India
Article Status
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Abstract
Various spatial and hydrological factors are considered for the purpose of flood susceptibility modeling. Factors such as Digital Elevation Model (DEM), slope, drainage density, land use and land cover (LULC), rainfall distribution, and distance from river channels have been incorporated in this study for generating flood susceptibility thematic layers. Weighted overlay method has been used for assessing the importance of each factor. Five susceptibility zones, namely Very Low, Low, Moderate, High, and Very High zones, have been identified based on the output map produced after analysis.
It is evident from the results obtained that flood susceptibility increases in lower elevations with flat slopes, high drainage density, agricultural activities, and river proximity. On the contrary, flood susceptibility decreases in case of higher elevations and high slopes. This study has produced maps indicating flood susceptibility in the region under consideration.
It is seen from the results of this research that GIS-based flood susceptibility modeling in QGIS is a relatively cost-effective tool that can be utilized for assessing flood risks in a given region. The maps developed can be beneficial for policy makers in formulating flood risk mitigation strategies, land-use policies, and emergency measures.
Index Terms—Flood Susceptibility, QGIS, GIS, Karha River Basin, Watershed Analysis, DEM, Drainage Density, Land Use Land Cover, Flood Risk Assessment, Spatial Analysis.
How to Cite this Paper
Patil, D., Ghadge, T., Pawar, A., Darade, T. & Chandgude, A. (2026). Flood Susceptibility Modelling using QGIS Software of Karha River Basin. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(6). https://doi.org/10.55041/ijcope.v2i6.380
Patil, Dilip, et al.. "Flood Susceptibility Modelling using QGIS Software of Karha River Basin." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 6, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i6.380.
Patil, Dilip,Tejas Ghadge,Arjun Pawar,Tushar Darade, and Aaditya Chandgude. "Flood Susceptibility Modelling using QGIS Software of Karha River Basin." International Journal of Creative and Open Research in Engineering and Management 02, no. 6 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i6.380.
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References
- Sohail and S. Mahmood, “Flood susceptibility modelling using geo-morphometric ranking approach and GIS techniques,” Natural Hazards Research, vol. 4, no. 2, pp. 125–138, 2024.
- S. Deshmukh and A. S. Wayal, “Morphometric Analysis of Upper Karha Watershed in Western Maharashtra Using GIS and Remote Sensing,” Journal of Agriculture and Rural Development, vol. 5, no. 2, pp. 45–54, 2018.
- S. Abbas, “Watershed Delineation Using Digital Elevation Model and GIS Techniques,” International Journal of Geomatics and Geosciences, vol. 13, no. 1, pp. 10–20, 2023.
- Ray, A. Kumar, and S. Sharma, “Comparative Analysis of Water-shed Delineation Methods Using ArcGIS and ArcSWAT,” Hydrological Sciences Journal, vol. 63, no. 8, pp. 1184–1198, 2018.
- Elkashouty, “Morphometric Analysis and Watershed Delineation Using GIS-Based Techniques,” Environmental Earth Sciences, vol. 79, no. 4, pp. 85–97, 2020.
- Alqaysi and A. Almulehi, “GIS-Based Watershed Delineation and Hydrological Modeling,” Arabian Journal of Geosciences, vol. 9, no. 3,156–168, 2016.
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- •Published on: Jul 01 2026
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