VES-GIS Application for Groundwater Potential and Aquifer Identification in Talang Kelapa District, Banyuasin, South Sumatra

Authors

  • Arif Muhammad Study Program of Geophysical Engineering, Faculty of Industrial Technology, Institut Teknologi Sumatera, Lampung, Indonesia
  • Andjarila Nurryska Study Program of Geophysical Engineering, Faculty of Industrial Technology, Institut Teknologi Sumatera, Lampung, Indonesia
  • Rizka Study Program of Geophysical Engineering, Faculty of Industrial Technology, Institut Teknologi Sumatera, Lampung, Indonesia

DOI:

https://doi.org/10.24036/eksakta/vol27-iss04/713

Keywords:

Aquifer, banyuasin, gumai formation, GIS – AHP, vertical electrical sounding (VES)

Abstract

Talang Kelapa District faces serious challenges regarding a high risk of groundwater drilling failure due to extreme lithological heterogeneity in the Gumai Formation. This study aims to identify aquifer geometry characteristics and accurately map groundwater potential zones to support sustainable water resource management. The method integrates Geographic Information System-Analytical Hierarchy Process (GIS-AHP) spatial analysis using six parameters: regional geology, slope, rainfall, drainage density, land use/land cover (LULC), and soil type. Subsurface validation was conducted using Vertical Electrical Sounding (VES) geophysical surveys with the Schlumberger configuration at six observation points to determine vertical resistivity profiles. The results show that the primary hydrogeological target is an unconfined aquifer system within sandstone layers, characterized by depths of 2.4–16.8 m and thicknesses reaching 21.9 m. The integration of these two methods produced a significant positive correlation between the Groundwater Potential Index (GPI) score and the actual aquifer thickness from VES, yielding a coefficient of determination (R2) value of 0.76. This study concludes that an integrative multi-criteria approach is an effective exploration instrument for recommending optimal drilling depths and minimizing technical exploration risks.

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References

[1] McDonald, R. I., Weber, K., Padowski, J., Flörke, M., Schneider, C., Green, P. A., ... & Montgomery, M. (2014). Water on an urban planet: Urbanization and the reach of urban water infrastructure. Global environmental change, 27, 96-105.

[2] Karandish, F., Liu, S., & de Graaf, I. (2025). Global groundwater sustainability: A critical review of strategies and future pathways. Journal of Hydrology, 657, 133060.

[3] Doke, A. B., Zolekar, R. B., Patel, H., & Das, S. (2021). Geospatial mapping of groundwater potential zones using multi-criteria decision-making AHP approach in a hardrock basaltic terrain in India. Ecological Indicators, 127, 107685.

[4] Melese, T., & Belay, T. (2022). Groundwater potential zone mapping using analytical hierarchy process and GIS in Muga Watershed, Abay Basin, Ethiopia. Global Challenges, 6(1), 2100068.

[5] Ifediegwu, S. I. (2022). Assessment of groundwater potential zones using GIS and AHP techniques: a case study of the Lafia district, Nasarawa State, Nigeria. Applied Water Science, 12(1), 10.

[6] Uc Castillo, J. L., Martínez Cruz, D. A., Ramos Leal, J. A., Tuxpan Vargas, J., Rodríguez Tapia, S. A., & Marín Celestino, A. E. (2022). Delineation of groundwater potential zones (GWPZs) in a semi-arid basin through remote sensing, GIS, and AHP approaches. Water, 14(13), 2138.

[7] Neven, A., & Renard, P. (2023). A novel methodology for the stochastic integration of geophysical and hydrogeological data in geologically consistent models. Water Resources Research, 59(7), e2023WR034992.

[8] Mutaqin, D. Z., Mardiana, U., Mohammad, F., Alfadli, M. K., & Csssa, B. Y. (2021). Sistem Akuifer Air Tanah Daerah Sukamoro Kabupaten Banyuasin-Sumatera Selatan. Jurnal Ilmiah Dinamika Rekayasa, 17(2), 137-147.

[9] Zhao, Y., & Foong, L. K. (2022). Predicting electrical power output of combined cycle power plants using a novel artificial neural network optimized by electrostatic discharge algorithm. Measurement, 198, 111405.

[10] El Makrini, S., Boualoul, M., Mamouch, Y., El Makrini, H., Allaoui, A., Randazzo, G., ... & Muzirafuti, A. (2022). Vertical Electrical sounding (VES) technique to map potential aquifers of the Guigou Plain (Middle Atlas, Morocco): hydrogeological implications. Applied Sciences, 12(24), 12829.

[11] Sankar, K., Karunanidhi, D., Kalaivanan, K., Subramani, T., Shanthi, D., & Balamurugan, P. (2023). Integrated hydrogeophysical and GIS based demarcation of groundwater potential and vulnerability zones in a hard rock and sedimentary terrain of Southern India. Chemosphere, 316, 137305.

[12] Tahera-Tun-Humayra, U., Islam, M. R., Hosen, M. B., Kader, Z., Sharker, R., Hasan, M., ... & Pervin, R. (2025). Groundwater potential zone mapping using analytical hierarchy process (AHP) and GIS for Narshingdi District, Bangladesh. Environmental Challenges, 101335.

[13] Garuti, C., & Mu, E. (2025). A Novel Consistency Index CI-G: Recruiting Compatibility Index G for Consistency Analysis. Mathematics, 13(16), 2666.

[14] Saaty, T. L. (1991). Some mathematical concepts of the analytic hierarchy process. Behaviormetrika, 18(29), 1-9.

[15] Arunbose, S., Srinivas, Y., & Rajkumar, S. (2021). Efficacy of hydrological investigation in Karumeniyar river basin, Southern Tamil Nadu, India using vertical electrical sounding technique: A case study. MethodsX, 8, 101215.

[16] Zhang, B., Zeng, F., Wei, X., Khan, U., & Zou, Y. (2022). Three-dimensional hierarchical hydrogeological static modeling for groundwater resource assessment: A case study in the eastern Henan Plain, China. Water, 14(10), 1651.

[17] Nazaripour, H., Sedaghat, M., Shafaie, V., & Movahedi Rad, M. (2024). Strategic assessment of groundwater potential zones: a hybrid geospatial approach. Applied Water Science, 14(8), 185.

[18] Cleophas, F., Moktar, N., Zahari, N. Z., Adnan, F. A. F., Tair, R., Budin, K., ... & Bidin, K. (2024). Field evaluation of a simple infiltration test and its relationship with soil physical properties of three different types of land uses. Science, Engineering and Health Studies, 24020008-24020008.

[19] Bronstert, A., Niehoff, D., & Schiffler, G. R. (2023). Modelling infiltration and infiltration excess: The importance of fast and local processes. Hydrological Processes, 37(4), e14875.

[20] Aslan, V., & Çelik, R. (2021). Integrated GIS-based multi-criteria analysis for groundwater potential mapping in the euphrates’s sub-basin, harran basin, turkey. Sustainability, 13(13), 7375.

[21] Indonesia. Direktorat Geologi Tata Lingkungan. Sub Direktorat Hidrogeologi. (1983). Peta hidrogeologi Indonesia 1:2,500,000 / Hydrogeological map of Indonesia 1:2,500,000 [Peta]. Direktorat Geologi Tata Lingkungan.

[22] Pěgřimočová, Z., & Ritz, M. (2025). Raman spectroscopy as an alternative approach for prediction of silicate mineral content in sedimentary rocks. Scientific Reports, 16(1), 2891.

[23] Trabelsi, F., Bel Hadj Ali, S., & Lee, S. (2022). Comparison of novel hybrid and benchmark machine learning algorithms to predict groundwater potentiality: case of a drought-prone region of Medjerda Basin, northern Tunisia. Remote Sensing, 15(1), 152.

[24] Fauzia, Surinaidu, L., Rahman, A., & Ahmed, S. (2021). Distributed groundwater recharge potentials assessment based on GIS model and its dynamics in the crystalline rocks of South India. Scientific Reports, 11(1), 11772.

[25] Hendrizan, M. (2022). Clastic Sediment Characteristics of Gumai Formation: Preliminary Study of Tertiary Rocks in South Sumatra Basin. In IOP Conference Series: Earth and Environmental Science (Vol. 1047, No. 1, p. 012010). IOP Publishing.

[26] El-Rawy, M., Batelaan, O., Alshehri, F., Almadani, S., Ahmed, M. S., & Elbeltagi, A. (2023). An integrated GIS and machine-learning technique for groundwater quality assessment and prediction in Southern Saudi Arabia. Water, 15(13), 2448.

[27] Sreeja, I. S., Aju, C. D., Achu, A. L., Reghunath, R., Prakash, P., & Raicy, M. C. (2025). Geospatial modelling of groundwater potential zones validated with well discharge and electrical resistivity in a tropical catchment. Evolving Earth, 100094.

[28] Yousefi, M., Lindsay, M. D., & Kreuzer, O. (2024). Mitigating uncertainties in mineral exploration targeting: Majority voting and confidence index approaches in the context of an exploration information system (EIS). Ore Geology Reviews, 165, 105930.

[29] Benton, J. R., McGuire, K. J., & Schreiber, M. E. (2022). Subsurface permeability contrasts control shallow groundwater flow dynamics in the critical zone of a glaciated, headwater catchment. Hydrological Processes, 36(9), e14672.

[30] Mohammed, S. H., Mohammed, M. A., Karim, H. A., Al-Manmi, D. A. M., Aziz, B. Q., Mustafa, A. I., & Szűcs, P. (2025). Integrating geospatial, hydrogeological, and geophysical data to identify groundwater recharge potential zones in the Sulaymaniyah basin, NE of Iraq. Scientific Reports, 15(1), 9920.

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Published

2026-08-11

How to Cite

1.
VES-GIS Application for Groundwater Potential and Aquifer Identification in Talang Kelapa District, Banyuasin, South Sumatra. EKSAKTA [Internet]. 2026 Aug. 11 [cited 2026 Aug. 15];27(04):620-36. Available from: http://eksakta.ppj.unp.ac.id/index.php/eksakta/article/view/713