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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM68065
Volume:
10 |
10 |
Oct 2026
Pages:
1-7
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
Sardar Beant Singh State University, Gurdaspur, Punjab, India
Civil engineering
Sardar Beant Singh State University, Gurdaspur, Punjab, India
Civil engineering
Sardar Beant Singh State University, Gurdaspur, Punjab, India
Waterlogging is a common surface-water management problem in areas where topography, drainage patterns, and soil infiltration characteristics interact. This study investigates the spatial characteristics of a selected study area using an integrated Geographic Information System (GIS) and terrain-modelling approach. Elevation data were analyzed using QGrid, Surfer 13, and QGIS to generate two-dimensional contour maps, three-dimensional terrain representations, and surface-elevation maps. Contour and terrain analysis were further used to identify high-elevation zones, depressions, and potential areas of surface-water accumulation. Watershed delineation was carried out to understand the contributing catchment and the natural movement of surface runoff within the study area. To complement the spatial analysis, field infiltration tests were conducted at six locations selected according to different contour elevations. The measured infiltration rates varied considerably, ranging from 0.5 to 6.0 in/hr, indicating substantial spatial variation in the soil's infiltration capacity. The results demonstrate that elevation alone does not adequately explain the potential occurrence of waterlogging; rather, the interaction between terrain characteristics, drainage/catchment patterns, surface depressions, and soil infiltration properties needs to be considered. The integrated analysis provides a spatial basis for identifying potential waterlogging-prone zones and selecting appropriate locations for future stormwater drainage, infiltration, and water-management interventions. The study demonstrates the usefulness of combining GIS-based terrain analysis with field-based soil infiltration assessment for site-specific waterlogging assessment and preliminary civil engineering planning.
KEYWORDS
I. The terrain analysis using QGrid, QGIS, and Surfer 13 showed clear spatial variation in ground elevation across the study area. II. Contour and terrain maps identified distinct higher and lower elevation zones, along with local peaks and depressions. III. Watershed analysis identified natural runoff pathways and areas receiving surface flow from surrounding higher elevations. IV. The combination of low-lying areas, depressions, and converging runoff pathways indicated locations with greater potential for water accumulation and waterlogging. V. Infiltration testing at six selected locations showed considerable spatial variation, with infiltration rates ranging from 0.5 to 6.0 in/hr. VI. The highest infiltration rates were recorded at 270 m (6 in/hr) and 264 m (5 in/hr), indicating comparatively better infiltration conditions. VII. The lowest infiltration rates were recorded at 265 m (0.5 in/hr) and 261 m (1 in/hr), making these locations important for further drainage assessment, particularly where they coincide with runoff-converging or depressed areas. VIII. The integrated results of elevation, contours, watershed characteristics, depressions, and infiltration capacity were used to classify critical locations and provide a basis for developing site-specific engineering solutions for drainage and waterlogging management.
I. T. G. Farr et al., “The Shuttle Radar Topography Mission,” Reviews of Geophysics, vol. 45, no. 2, 2007. II. NASA Jet Propulsion Laboratory, “Shuttle Radar Topography Mission (SRTM) Overview,” NASA Earth Observatory, 2000. III. K. El-Ashmawy, “Investigation of the Accuracy of Google Earth Elevation Data,” Artificial Satellites, vol. 51, no. 3, pp. 89–97, 2016. IV. P. S. Hiremath and B. G. Kodge, “Generating Contour Lines Using Different Elevation Data File Formats,” International Journal of Computer Science Issues, 2011. V. S. Dawn, V. Saxena, an Hydrological inferences from watershed analysis for water resource management using remote sensing and GIS techniques. (2014). VI. Morphometric evaluation of Swarnrekha watershed, Madhya Pradesh, India: An integrated GIS-based approach. (2017). Applied Water Science, 7, 1807–1815.d B. D. Sharma, “DEM Registration and Error Analysis Using ASCII Values,” 2014.
Publication Date
10/17/2026
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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