Main Article Content
Abstract
Groundwater is the main source of water supply in Afghanistan, especially in areas where access to surface water is difficult. Nangarhar Province has significant surface-water and groundwater resources and depends extensively on these resources for domestic and agricultural use, including orange orchards, vegetable cultivation, and sugarcane production. Therefore, detecting areas with suitable groundwater potential is essential for sustainable groundwater-resource management (SGRM) and well siting. The present study aimed to identify groundwater potential zones (GPZs) in Nangarhar Province using remote sensing (RS), geographic information systems (GIS), and the analytical hierarchy process (AHP). The study was applied in terms of purpose and employed a quantitative, analytical, and spatial methodology. Seven layers, including precipitation, slope, lithology, soil type, drainage density (DD), lineament density (LD), and land use/land cover (LULC), were analyzed in ArcGIS 10.8. The criteria were weighted through multi-criteria decision analysis (MCDA) using the AHP model and the weighted-overlay method. The results showed that the central, southern, and southeastern parts of the study area predominantly fell within the high- and very-high-potential classes, whereas the northern and northeastern parts were mainly characterized by low to moderate potential. Validation using 20 observation wells showed 80% agreement between the groundwater-potential map and the observed well locations. Simultaneously, sensitivity analysis indicated that limited changes in the criterion weights did not significantly affect the overall spatial pattern of the groundwater-potential map. The findings can support sustainable groundwater-resource management, well siting, agricultural planning, and improved groundwater development and management in the study area, especially in areas exposed to increasing water demand and future needs.
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References
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References
Agarwal, E., Agarwal, R., Garg, R. D., & Garg, P. K. (2013). Delineation of groundwater potential zone: An AHP/ANP approach. Journal of Earth System Science, 122(3), 887–898. https://doi.org/10.1007/s12040-013-0309-8
Biswas, A., Jana, A., & Sharma, S. P. (2012). Delineation of groundwater potential zones using satellite remote sensing and geographic information system techniques: A case study from Ganjam district, Orissa, India. Research Journal of Recent Sciences, 1(9), 59–66. https://www.isca.in/rjrs/archive/v1/i9/11.ISCA-RJRS-2012-275.pdf
Beden, N., Soydan-Oksal, N. G., Arıman, S., & Ahmadzai, H. (2023). Delineation of a groundwater potential zone map for the Kızılırmak Delta by using remote-sensing-based geospatial and analytical hierarchy processes. Sustainability, 15(14), 10964. https://doi.org/10.3390/su151410964
Elmahdy, S. I., & Mohamed, M. M. (2014). Groundwater potential modelling using remote sensing and GIS: A case study of the Al Dhaid area, United Arab Emirates. Geocarto International, 29(4), 433–450. https://doi.org/10.1080/10106049.2013.784366
Farahmand, A., Zaryab, A., Ameri, N., Ali, S., & Eqrar, M. N. (2025). Evaluation of hydro-geochemical processes controlling groundwater quality in Balkh Center (Mazar-e-Sharif), northern Afghanistan. Journal of Trace Elements and Minerals, 12, 100232. https://doi.org/10.1016/j.jtemin.2025.100232
Gesim, N. A., & Okazaki, T. (2018). GIS based groundwater potential mapping using Frequency Ratio and Shannon's Entropy models in Herat city, Afghanistan. Proceedings, 90–93.
Halder, S., Biswas Roy, M., Kumar Roy, P., & Sedighi, M. (2023). Groundwater vulnerability assessment for drinking water suitability using Fuzzy Shannon Entropy model in a semi-arid river basin. Catena, 229, 107206. https://doi.org/10.1016/j.catena.2023.107206
Hayat, E., & Baba, A. (2017). Quality of groundwater resources in Afghanistan. Environmental Monitoring and Assessment, 189(7), 318. https://doi.org/10.1007/s10661-017-6032-1
Jahish, H., Sarwary, M. H., Rasoli, Z., Kaiwaan, A., Naimzad, M. A., Namdar, A., & Azimi, S. J. (2025). Groundwater pollution vulnerability in Kabul, Afghanistan, assessed using a geographical information system (GIS)-based DRASTIC model. Eídos, 18(25), 119–138. https://doi.org/10.29019/eidos.v18i25.1446
Jamali, M. Y., Namous, M., Tallou, A., Atif, K., & [additional author(s) to be verified]. (2020). Estimation of groundwater vulnerability to pollution based on DRASTIC and SI methods: A case study of the irrigated area of Tadla Plain, Oum Errabia Basin, Morocco. https://doi.org/10.1145/3399205.3399223
Machiwal, D., Jha, M. K., & Mal, B. C. (2011). Assessment of groundwater potential in a semi-arid region of India using remote sensing, GIS and MCDM techniques. Water Resources Management, 25(5), 1359–1386. https://doi.org/10.1007/s11269-010-9749-y
Mercy Corps. (2025). Kabul's water crisis: An inflection point for action. https://reliefweb.int/attachments/10f41c55-6d52-4f30-913f-c8de8a1ae2a0/MCA%20CAT%20Kabul%20Water%20V2%20PDF.pdf
Ministry of Agriculture, Irrigation and Livestock. (2025). Apple yield in Nangarhar reached 2,214 metric tons; a five percent increase compared to last year. https://mail.gov.af/
Ministry of Energy and Water. (2022). Groundwater wells in Nangarhar Province under review. https://mew.gov.af/
Mihran, R. (2011). Rural community vulnerability to food security impacts of climate change in Afghanistan: Evidence from Balkh, Herat, and Nangarhar provinces [Master's thesis, University of Waterloo]. University of Waterloo. https://uwspace.uwaterloo.ca/
National Statistics and Information Authority. (2024). Statistical yearbook 2023–24. https://nsia.gov.af:8443/wp-content/uploads/2024/07/Fuorth-Quorter-1402.pdf
National Water Affairs Regulation Authority. (2019). Groundwater resources balance report of Nangarhar Province [Unpublished technical report]. Ministry of Energy and Water, Afghanistan.
Pathmanandakumar, V., Thasarathan, N., & Ranagalage, M. (2021). An approach to delineate potential groundwater zones in Kilinochchi District, Sri Lanka, using GIS techniques. ISPRS International Journal of Geo-Information, 10(11), 730. https://doi.org/10.3390/ijgi10110730
Pholkern, K., Saraphirom, P., & Srisuk, K. (2018). Potential impact of climate change on groundwater resources in the Central Huai Luang Basin, Northeast Thailand. Science of the Total Environment, 633, 1518–1535. https://doi.org/10.1016/j.scitotenv.2018.03.300
Popalzai, A., Ahmadi, H., Rahmani, A. B., & Pekkan, E. (2023). Delineation of groundwater potential zones using multi-criteria decision analysis: The case of Balkh Province, Northern Afghanistan. Proceedings, 87(1), 41. https://doi.org/10.3390/IECG2022-14817
Rajaveni, S. P., Brindha, K., & Elango, L. (2017). Geological and geomorphological controls on groundwater occurrence in a hard rock region. Applied Water Science, 7, 1377–1389. https://doi.org/10.1007/s13201-015-0327-6
Regional Rural Economic Regeneration Strategies. (2006). Provincial profile for Nangarhar. https://www.ecoi.net/en/file/local/1048565/1222_1197554805_nangarhar-provincial-profile.pdf
Saaty, R. W. (1987). The analytic hierarchy process—What it is and how it is used. Mathematical Modelling, 9(3–5), 161–176. https://doi.org/10.1016/0270-0255(87)90473-8
Santra, A., & Bhowmick, S. (2026). Groundwater depletion in a changing climate: Risks, challenges, and pathways to sustainability. In Agriculture in a changing climate: Challenges, technologies, and sustainable solutions (pp. 41–51). Swami Vivekananda University. https://doi.org/10.65525/SVUP.9788199956070.2026.41-51
Seyam, M., Alagha, J. S., Abunama, T., Mogheir, Y., Affam, A. C., Heydari, M., & Ramlawi, K. (2020). Investigation of the influence of excess pumping on groundwater salinity in the Gaza Coastal Aquifer (Palestine) using three predicted future scenarios. Water, 12(8), 2218. https://doi.org/10.3390/w12082218
Shekhar, S., & Pandey, A. C. (2015). Delineation of groundwater potential zone in hard rock terrain of India using remote sensing, geographical information system (GIS) and analytic hierarchy process (AHP) techniques. Geocarto International, 30(4), 402–421. https://doi.org/10.1080/10106049.2014.894584
Sinan, M., & Razack, M. (2009). An extension to the DRASTIC model to assess groundwater vulnerability to pollution: Application to the Haouz aquifer of Marrakech (Morocco). Environmental Geology, 57(2), 349–363. https://doi.org/10.1007/s00254-008-1304-2
Tani, H., & Tayfur, G. (2021). Identification of groundwater potential zones in Kabul River Basin, Afghanistan. Groundwater for Sustainable Development, 15, 100666. https://doi.org/10.1016/j.gsd.2021.100666
U.S. Agency for International Development. (2021). Afghanistan water resources profile overview. Water Resources Profile Series. https://winrock.org/document/afghanistan-water-resources-profile/
U.S. Environmental Protection Agency. (2023). Nitrate and pesticides in shallow ground water in agricultural watersheds. https://www.epa.gov/system/files/documents/2023-05/NitratePesticides_GroundWater%20ec.pdf