GIS Base Mapping of Groundwater Aquifer and their Movements in Horana Divisional Secretariat Division.
Authors
Santhasiri, P. J
Department of Geography, University of Sri Jayewardanepura (LK)
Sumanajith Kumara
Department of Geography, University of Sri Jayewardanepura (LK)
Geethalankara A. M. A. R.
Department of Geography, University of Sri Jayewardanepura (LK)
Niriellage, N. S. C.
Western Provincial Council (LK)
Mahalingam, B.
Department of Geography, School of Earth Sciences, Central University of Karnataka (LK)
Article Information
DOI: 10.51583/IJLTEMAS.2026.1501000103
Subject Category: Applied Sciences
Volume/Issue: 15/1 | Page No: 1270-1283
Publication Timeline
Submitted: 2026-02-18
Published: 2026-02-18
Abstract
The favourable water aquifers serve as critical water resources for agricultural, industrial and domestic purposes. Understanding the distribution, movement, and potential of saturation ability of these aquifers is essential for efficient water management and planning. Horana Divisional Secretariat Division (DSD) has different thickness water aquifer layers perpendicular to the soil structures and topographical variations.
The present research aims to analyse the groundwater aquifer and its movements by analysing geographic information systems (GIS). The mapping of groundwater aquifer characteristics and movement patterns, interactions were analysed using geophysical data, the dug well depths and geological information. The electrical sound resistivity (VES) method was used to identify each layer using resistivity (ohm - m) (Ω) values, which were collected from the local provincial council (Western Province) applied survey project reports.
The 27 dug well points were measured using measuring tape to verify the water aquifer layers' depth values, as well as soil percolation test, and their rates were calculated using the “(cm/hour)” method (Joleha et al., 2023). The USGS satellite image was downloaded to prepare the digital elevation model (DEM). The 100m contours and the groundwater flow direction map were prepared by the dug well location depth with contours using ArcGIS 10.4.1 software.
The result indicates a clear relationship between dug well depths and resistivity valves, which shows topsoil, not saturated, water saturated, weathered and fractured bedrocks and bedrock layers. The dug well depths showed the water aquifer depths in the research area. Contours and dug well depths were used to prepare the groundwater flow map. This flow pattern linked the topography of this area.
The above finding mentioned that groundwater storage, capacities, layers and flow patterns can be mapped using the ArcGIS application. According to the area aquifer and flow patterns, the analysis will help with the groundwater exploration and its planning in the Horana (DSD) area.
Keywords
Groundwater aquifer, GIS Base Mapping, Groundwater movement
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References
1. Arabameri, A., Pal, S.C., Rezaie, F., Nulivan, O.A., Chowdhuri, I., Saha, A., Lee, S., Mouyedi, H. (2021). Modelling Groundwater Potential Using Novel GIS-Based Machine-Learning Ensemble Technique. Journal Of Hydrology; Regional Studies. 36, 100848. [Google Scholar] [Crossref]
2. Aziman, m., Hazreek, Z.A.M., Azahar, A.T.S., Fahm, K.A., Faizal, T.B.M., Subariah, M., Ambak, K., Ismail, M.A.M. (2017). Electrical Resistivity Technique for Groundwater Exploration in Quaternary Deposit. IOP Count. Journal of Physics. 995, 012110. [Google Scholar] [Crossref]
3. Javed, A., Ghazi, S., Ali, S., Muhammad, S., Rasool, N., Dar, Q.U.Z. (2019). 3D Interpretation of Resistivity Data for Groundwater Potential Assessment of Pakhli Plain, Mausehra District, Rokistan, Pakistan. Journal of Geology (PJG). 3, 2. [Google Scholar] [Crossref]
4. Joleha., Audah, S., Handayani, Y.L., Suprayogi, I. (2023). Mapping the Depth of Groundwater Level and Soil Permeability Based on Geographic Information Systems (GIS) for The Feasibility of Absorption Well Locations in The Application of Ecodrain in Tuah Madani District. Journal of Geoscience, Engineering, Environment, and Technology, 9, 1 2024. [Google Scholar] [Crossref]
5. Monir, M.D.M., Sarker, S.C., Sarkar, S.K., Ahmed, M., Mallick, J., Abu Reza, MD., Islam, T. (2023). Groundwater Level Fluctuations and Associated Influencing Factors in Rangpur District, Bangladesh, Using Modified Mann-Kendall and GIS-Based AHP Technique. Theoretical and Applied Climatology. Springer Nature. [Google Scholar] [Crossref]
6. Nur, A., Ishaku, J.M., Yusut, S.N. (2012). Groundwater Flow Patterns and Hydrochemical Facies Distribution Using Geospatial Information System (GIS) in Damaturu, North-East Nigeria. International Journal of Geosciences. 3, 1096 – 1106. [Google Scholar] [Crossref]
7. Prasani Anjalika., Geethalankara, A.M.A.R., Abeyrathna, A.W.G.N.M., Kafoor Nijamir., Nuska Banu, M.N., Shafia, M.N.F., Rinuza, A.R., Saparamadu, P.V.D.I.S. (2023). Landslide Risk and Vulnerability Mapping in Kotapola DSD in Matara District, Sri Lanka. KALAM International Research Journals. 16 (2), 2738-2214. [Google Scholar] [Crossref]
8. Santhasiri, P.J., Sumanajith Kumara, Geethalankara, A.M.A.R., Niriellage, N.S.C., Yasarathne, M.G.N.P. (2025). Iron Oxide, Clay and Ferrous Minerals Detection and Mapping Using Remote Sensing and GIS Techniques in Horana Divisional Secretariat Division. Global Scientific Journals. 13, 271-288. [Google Scholar] [Crossref]
9. Sharifi, V., Srikantaswamy, S., Manjunatha, M.C., Sasavarajappa, H.T. (2016). Rainfall Variation and its Impact on Groundwater Table Fluctuation in Mysore Taluk, Karnataka, India, using GIS Application. Journal of Environmental Science, Computer Science and Engineering & Technology. 5, 137-152. [Google Scholar] [Crossref]
10. Shelar, R.S., Naudgude, S.B., Punde, C.B., Costache, R., EI-Hiti, A., Gamal., Tolche, A.D., Son, C.T., Yadau, K.K. (2023). Unlocking the Hidden Potential: Groundwater Zone Mapping Using AHP, Remote Sensing and GIS Technique. Geomatics, Natural Hazards and Risk. 14, 2264458. [Google Scholar] [Crossref]
11. Singh, K., Sharma, A., Tiwary, A.K., Kaushaj, M., Nautigal, A., Guptha, S.K., Sahoo, S., Salem, A., Endawy, S.E., Matter, M.A., Randeep, Kansai, R.B. (2025). A GIS-Based Study on Groundwater Level Fluctuation and Delineation of Potential Zones. Environmental Earth Sciences. 84, 233. [Google Scholar] [Crossref]
12. Sudeep, D., Surabhi, U., Priya, S., Amber, B.T., Rajaram, P. (2019). Shallow Groundwater Level Variation in the Kathmandu Valley: A GIS-Based Study. KEC Conference 2019. Kanpur Engineering College, Dhapakhel Lalipur, Nepal. [Google Scholar] [Crossref]
13. Thamodi, A.A.R. and Sumanajith Kumara. (2025). A Geomorphological Study on the Micro Karst Landform Diversity of a Limestone Cave: A Case Study of Waulpane Cave, Ratnapura District. International Journal of Latest Technology in Engineering, Management & Applied Science (IJLTEMAS). 14, 534-552. [Google Scholar] [Crossref]
14. ‘How Flow Direction Works’ (2016), in Esri, (online), Available from; https;//pro.arcgis.com > tool-reference > spatial-analyst (Accessed 27 June 2024). [Google Scholar] [Crossref]
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