International Journal on Science and Technology
E-ISSN: 2229-7677
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Volume 17 Issue 1
January-March 2026
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GIS-Based Flood Risk Assessment Using DEM-Derived Hydrological Indices with Mitigation Measures
| Author(s) | Ms. Anuradha Madhav Sangwai, Dr. Ajay Devidas Nagne |
|---|---|
| Country | India |
| Abstract | Flooding is a recurring natural hazard in the Krishna River basin of Maharashtra, leading to considerable damage to human settlements, agricultural land, and infrastructure. Therefore, identifying flood-prone areas effectively is essential for developing suitable mitigation strategies. The current study uses Shuttle Radar Topography Mission (SRTM) Digital Elevation Model (DEM) data processed in ArcGIS 10.8 to evaluate flood risk and propose flood mitigation strategies using a GIS-based terrain analysis approach. To extract topographic and hydrological parameters such as slope, flow direction, flow accumulation, topographic wetness index (TWI) and stream power index (SPI) were derived from digital elevation model. These parameters were used to understand patterns of water accumulation and flow velocity across the river basin. The results show that low-lying downstream areas and river floodplains are more vulnerable to flooding than areas with gentle slopes, high flow accumulation, elevated TWI, and high SPI values. The analysis highlights the importance of TWI in identifying zones at risk of extended saturation and waterlogging, even when SPI is successful in identifying active flood paths and locations of intense flow energy. The spatial analysis of these indices led to the proposal of both structural and non-structural flood mitigation strategies. The study demonstrates that DEM-based hydrological analysis using GIS provides a reliable and user-friendly framework for flood risk assessment and mitigation planning. |
| Keywords | DEM, Flood, GIS, Mitigation, SPI, STRM, TWI |
| Field | Computer Applications |
| Published In | Volume 16, Issue 4, October-December 2025 |
| Published On | 2025-12-28 |
| DOI | https://doi.org/10.71097/IJSAT.v16.i4.9999 |
| Short DOI | https://doi.org/hbhj59 |
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IJSAT DOI prefix is
10.71097/IJSAT
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