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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM66550
Volume:
10 |
8 |
Aug 2026
Pages:
1-3
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.
CIVIL ENGINEERING
SIR C R REDDY COLLEGE OF ENGINEERING ELURU
CIVIL ENGINEERING
SIR C R REDDY COLLEGE OF ENGINEERING ELURU
CIVIL ENGINEERING
SIR C R REDDY COLLEGE OF ENGINEERING ELURU
CIVIL ENGINEERING
SIR C R REDDY COLLEGE OF ENGINEERING ELURU
Floods are one of the most common natural disasters and cause serious damage to people, buildings, roads, and other infrastructure. Vijayawada, which is located on the banks of the Krishna River, experiences floods frequently due to heavy rainfall, release of water from upstream reservoirs, and rapid urban growth. This study aims to identify flood-prone areas in Vijayawada using Geographic Information System (GIS) and QGIS software. Important factors such as Digital Elevation Model (DEM), slope, rainfall, land use and land cover (LULC), drainage density, and distance from river channels were used for the analysis. Each factor was given a suitable weight based on its importance in causing floods. A weighted overlay analysis was carried out in QGIS to prepare a flood risk map. The study area was classified into four flood risk zones: Very High, High, Moderate, and Low. The results show that low-lying areas near the Krishna River, densely built-up urban regions, and places with poor drainage are more likely to experience flooding. The flood risk map can help urban planners, disaster management authorities, and civil engineers in planning flood control measures, improving land use planning, and developing safer infrastructure in Vijayawada.
KEYWORDS
1. The study successfully used GIS and QGIS to analyze flood-prone areas by integrating factors such as DEM, slope, rainfall, drainage, land use/land cover (LULC), and river flow. 2. The analysis showed that elevation and slope strongly influence flood occurrence. Low-lying and gentle slope areas are more prone to water accumulation and flooding. 3. The drainage network plays an important role in flood behavior. Areas with poor drainage or high drainage congestion are more vulnerable during heavy rainfall. 4. The flood risk map identified that regions near the Krishna River and downstream areas have a higher flood risk, while higher elevation areas are comparatively safer. 5. River flow analysis indicated that during heavy rainfall, some river sections may exceed their carrying capacity, leading to overflow and flooding in nearby areas. 6. The study concludes that GIS-based flood risk assessment is an effective tool for identifying vulnerable areas and supports urban planning, disaster management, flood mitigation, and sustainable infrastructure development.
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Publication Date
8/6/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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