* Corresponding Author
Identification of Groundwater Potential Zones Using Remote Sensing and GIS Technique: A Case Study of the Ketungau Basin in Sintang, West Kalimantan
https://doi.org/10.22146/ijg.78629 Ajun Purwanto(1*), Paiman Paiman(2), Dony Andrasmoro(3), Eviliyanto Eviliyanto(4), Rustam Rustam(5)
(1) Departmen of Geography Education IKIP PGRI Pontianak, West Kalimantan, Indonesia.
(2) Departmen of Geography Education IKIP PGRI Pontianak, West Kalimantan, Indonesia.
(3) Departmen of Geography Education IKIP PGRI Pontianak, West Kalimantan, Indonesia.
(4) Departmen of Geography Education IKIP PGRI Pontianak, West Kalimantan, Indonesia.
(5) Departmen of Counseling Guidance Education IKIP PGRI Pontianak, West Kalimantan, Indonesia.
(*) Corresponding Author
Abstract
Groundwater is one of the most valuable natural resources in Sintang, but essential basic information regarding its properties and characteristics is presently unavailable. Currently, systemic and uniform investigations, as well as groundwater potential zones mapping are yet to be conducted within the framework of basin area units to support development activities. Therefore, this study aims to identify and map groundwater potential zones using remote sensing and GIS. The employed data were obtained from drainage density, slope steepness, straightness density, total rainfall, lithology, soil type, and land use land cover. The method applied was an interpretation of secondary data, which included a) identification and evaluation of criteria, b) data collection, c) preprocessing, and e) reclassification, while the analysis technique used was a weighted overlay. The results showed that the study location has five classes of groundwater potential zones, namely highly potential, potential, moderate, non-potential, and highly non-potential with areas of 120,754.08 ha (20.62%), 220,693.71 ha (37.69%), 109,668.44 ha ( 18.73), 93,404.38 ha (15.95%), and 41,068.31 ha (7.01%), respectively. Highly potential and groundwater potential zones were identified in the central, eastern, and western parts of the Ketungau basin. In contrast, the dominant non-potential and highly non-potential zones were found along the northern basin boundary. Based on the results, remote sensing and GIS approaches are practical tools for identifying groundwater potential zones, which can be used to determine policies related to groundwater utilization.
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Abiy, A. Z., Demissie, S. S., MacAlister, C., Dessu, S. B., & Melesse, A. M. (2016). Groundwater recharge and contribution to the Tana sub-basin, upper Blue Nile basin, Ethiopia. In Landscape dynamics, soils and hydrological processes in varied climates (pp. 463–481). Springer.
Abrar, H., Legesse Kura, A., Esayas Dube, E., & Likisa Beyene, D. (2021). AHP based analysis of groundwater potential in the western escarpment of the Ethiopian rift valley. Geology, Ecology, and Landscapes, 1–14.
Achu, A. L., Thomas, J., & Reghunath, R. (2020). Multi-criteria decision analysis for delineation of groundwater potential zones in a tropical river basin using remote sensing, GIS and analytical hierarchy process (AHP). Groundwater for Sustainable Development, 10, 100365.
Agarwal, R., & Garg, P. K. (2016). Remote sensing and GIS based groundwater potential & recharge zones mapping using multi-criteria decision making technique. Water Resources Management, 30(1), 243–260.
Ajay Kumar, V., Mondal, N. C., & Ahmed, S. (2020). Identification of groundwater potential zones using RS, GIS and AHP techniques: a case study in a part of Deccan volcanic province (DVP), Maharashtra, India. Journal of the Indian Society of Remote Sensing, 48, 497–511.
Al-Abadi, A., & Al-Shamma’a, A. (2014). Groundwater potential mapping of the major aquifer in Northeastern Missan Governorate, South of Iraq by using analytical hierarchy process and GIS. J Environ Earth Sci, 10, 125–149.
Allafta, H., Opp, C., & Patra, S. (2021). Identification of groundwater potential zones using remote sensing and GIS techniques: A case study of the Shatt Al-Arab Basin. Remote Sensing, 13(1), 112.
Arulbalaji, P., Padmalal, D., & Sreelash, K. (2019). GIS and AHP techniques based delineation of groundwater potential zones: a case study from southern Western Ghats, India. Scientific Reports, 9(1), 1–17.
Arun Kumar, K. C., Obi Reddy, G. P., Masilamani, P., & Sandeep, P. (2021). Spatial modelling for identification of groundwater potential zones in semi-arid ecosystem of southern India using Sentinel-2 data, GIS and bivariate statistical models. Arabian Journal of Geosciences, 14(14), 1–14.
Arunbose, S., Srinivas, Y., Rajkumar, S., Nair, N. C., & Kaliraj, S. (2021). Remote sensing, GIS and AHP techniques based investigation of groundwater potential zones in the Karumeniyar river basin, Tamil Nadu, southern India. Groundwater for Sustainable Development, 14, 100586.
Awawdeh, M., Obeidat, M., Al-Mohammad, M., Al-Qudah, K., & Jaradat, R. (2014). Integrated GIS and remote sensing for mapping groundwater potentiality in the Tulul al Ashaqif, Northeast Jordan. Arabian Journal of Geosciences, 7, 2377–2392.
Aykut, T. (2021). Determination of groundwater potential zones using Geographical Information Systems (GIS) and Analytic Hierarchy Process (AHP) between Edirne-Kalkansogut (northwestern Turkey). Groundwater for Sustainable Development, 12, 100545.
Berhanu, B., Melesse, A. M., & Seleshi, Y. (2013). GIS-based hydrological zones and soil geo-database of Ethiopia. Catena, 104, 21–31.
Berhanu, K. G., & Hatiye, S. D. (2020). Identification of groundwater potential zones using proxy data: case study of Megech Watershed, Ethiopia. Journal of Hydrology: Regional Studies, 28, 100676.
Burayu, D. G. (2022). Identification of Groundwater Potential Zones Using AHP, GIS and RS Integration: A Case Study of Didessa Sub-Basin, Western Ethiopia. Remote Sensing of Land, 6 (1), 1–15.
Dar, I. A., Sankar, K., & Dar, M. A. (2011). Deciphering groundwater potential zones in hard rock terrain using geospatial technology. Environmental Monitoring and Assessment, 173(1), 597–610.
Dar, T., Rai, N., & Bhat, A. (2021). Delineation of potential groundwater recharge zones using analytical hierarchy process (AHP). Geology, Ecology, and Landscapes, 5(4), 292–307.
De Stefano, L., & Lopez-Gunn, E. (2012). Unauthorized groundwater use: institutional, social and ethical considerations. Water Policy, 14(S1), 147–160.
Dhinsa, D., Tamiru, F., & Tadesa, B. (2022). Groundwater potential zonation using VES and GIS techniques: A case study of Weserbi Guto catchment in Sululta, Oromia, Ethiopia. Heliyon, 8(8), e10245.
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.
Duguma, T. A., & Duguma, G. A. (2022). Assessment of groundwater potential zones of upper Blue Nile River Basin using multi-influencing factors under GIS and RS environment: a case study on guder watersheds, Abay basin, Oromia region, Ethiopia. Geofluids, 2022.
Döll, P., Hoffmann-Dobrev, H., Portmann, F. T., Siebert, S., Eicker, A., Rodell, M., Strassberg, G., & Scanlon, B. R. (2012). Impact of water withdrawals from groundwater and surface water on continental water storage variations. Journal of Geodynamics, 59, 143–156.
Etikala, B., Golla, V., Li, P., & Renati, S. (2019). Deciphering groundwater potential zones using MIF technique and GIS: A study from Tirupati area, Chittoor District, Andhra Pradesh, India. HydroResearch, 1, 1–7.
Fashae, O. A., Tijani, M. N., Talabi, A. O., & Adedeji, O. I. (2014). Delineation of groundwater potential zones in the crystalline basement terrain of SW-Nigeria: an integrated GIS and remote sensing approach. Applied Water Science, 4(1), 19–38.
Forootan, E., & Seyedi, F. (2021). GIS-based multi-criteria decision making and entropy approaches for groundwater potential zones delineation. Earth Science Informatics, 14(1), 333–347.
Gao, H., Liu, F., Yan, T., Qin, L., & Li, Z. (2022). Drainage Density and Its Controlling Factors on the Eastern Margin of the Qinghai–Tibet Plateau. Frontiers in Earth Science, 9, 1280.
Goepel, K. D. (2013). Implementing the analytic hierarchy process as a standard method for multi-criteria decision making in corporate enterprises–a new AHP excel template with multiple inputs. Proceedings of the International Symposium on the Analytic Hierarchy Process, 2(10), 1–10.
Guduru, J. U., & Jilo, N. B. (2022). Groundwater potential zone assessment using integrated analytical hierarchy process-geospatial driven in a GIS environment in Gobele watershed, Wabe Shebele river basin, Ethiopia. Journal of Hydrology: Regional Studies, 44, 101218.
Guru, B., Seshan, K., & Bera, S. (2017). Frequency ratio model for groundwater potential mapping and its sustainable management in cold desert, India. Journal of King Saud University-Science, 29(3), 333–347.
Hall, R., & Nichols, G. (2002). Cenozoic sedimentation and tectonics in Borneo: climatic influences on orogenesis. Geological Society, London, Special Publications, 191(1), 5–22.
Harini, P., Sahadevan, D. K., Das, I. C., Manikyamba, C., Durgaprasad, M., & Nandan, M. J. (2018). Regional groundwater assessment of Krishna River basin using integrated GIS approach. Journal of the Indian Society of Remote Sensing, 46, 1365–1377.
Israil, M., Al-Hadithi, M., & Singhal, D. C. (2006). Application of a resistivity survey and geographical information system (GIS) analysis for hydrogeological zoning of a piedmont area, Himalayan foothill region, India. Hydrogeology Journal, 14(5), 753–759.
Jha, M. K., Chowdary, V. M., & Chowdhury, A. (2010). Groundwater assessment in Salboni Block, West Bengal (India) using remote sensing, geographical information system and multi-criteria decision analysis techniques. Hydrogeology Journal, 18(7), 1713–1728.
Kabeto, J., Adeba, D., Regasa, M. S., & Leta, M. K. (2022). Groundwater Potential Assessment Using GIS and Remote Sensing Techniques: Case Study of West Arsi Zone, Ethiopia. Water, 14(12), 1838.
Kadam, A. K., Kale, S. S., Umrikar, B. N., Sankhua, R. N., & Pawar, N. J. (2017). Identifying possible locations to construct soil-water conservation structures by using hydro-geological and geospatial analysis. Hydrospatial Anal, 1(1), 18–27.
Kaliraj, S., Chandrasekar, N., & Magesh, N. S. (2014). Identification of potential groundwater recharge zones in Vaigai upper basin, Tamil Nadu, using GIS-based analytical hierarchical process (AHP) technique. Arabian Journal of Geosciences, 7(4), 1385–1401.
Kattimani, J., Murthy, A., & Kumar, S. R. (2018). Identification of ground water potential zone using remote sensing and Gis techniques. International Journal of Advanced Research, 6(5), 948–953.
Kindie, A. T., Enku, T., Moges, M. A., Geremew, B. S., & Atinkut, H. B. (2018). Spatial analysis of groundwater potential using GIS based multi criteria decision analysis method in Lake Tana basin, Ethiopia. International Conference on Advances of Science and Technology, 439–456.
Kumar, S. K., Chandrasekar, N., Seralathan, P., Godson, P. S., & Magesh, N. S. (2012). Hydrogeochemical study of shallow carbonate aquifers, Rameswaram Island, India. Environmental Monitoring and Assessment, 184(7), 4127–4138.
Kumar, A., & Krishna, A. P. (2018). Assessment of groundwater potential zones in coal mining impacted hard-rock terrain of India by integrating geospatial and analytic hierarchy process (AHP) approach. Geocarto International, 33(2), 105–129.
Kumar, T., Gautam, A. K., & Kumar, T. (2014). Appraising the accuracy of GIS-based multi-criteria decision making technique for delineation of groundwater potential zones. Water Resources Management, 28, 4449–4466.
DOI: https://doi.org/10.22146/ijg.78629
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Copyright (c) 2023 Ajun Purwanto, Paiman Paiman, Dony Andrasmoro, Eviliyanto Eviliyanto, Rustam Rustam
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Accredited Journal, Based on Decree of the Minister of Research, Technology and Higher Education, Republic of Indonesia Number 225/E/KPT/2022, Vol 54 No 1 the Year 2022 - Vol 58 No 2 the Year 2026 (accreditation certificate download)
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