A Three-Dimensional Mathematical Model for Groundwater Level Variations in a Two-Layered Medium
Received: 10 May 2025 | Revised: 30 June 2025, 15 July 2025, and 4 August 2025 | Accepted: 9 August 2025 | Online: 6 October 2025
Corresponding author: Sherzod Daliev
Abstract
Studying the hydrodynamic regime of groundwater, particularly the formation of new freshwater reserves and monitoring their quantitative and qualitative indicators, holds significant scientific and practical importance. In this research, the main causes of groundwater level variations in two-layer media were analyzed, including precipitation and evaporation, water extraction and recharge sources, geological structure and interlayer permeability characteristics, hydraulic gradient, flow directions, water infiltration due to irrigation, filtration coefficient, porosity, layer thickness, drainage, and artesian wells. To accurately model the variations in the water levels of unconfined and confined aquifers, a mathematical model was developed that accounts for the physical-geological and hydrogeological parameters of the study area. The problem was described through mathematical and numerical modeling of geofiltration and geomigration processes. The model is represented by nonlinear differential equations, which do not have an analytical solution due to the presence of free variables. Therefore, a fully stable numerical solution scheme based on high-precision approximation was proposed. The solutions were obtained using iterative calculations and forward-backward substitution methods. The research also considered parameters, such as soil density, effective porosity, and third-order open boundary conditions. As a result, the model provides reliable forecasts for identifying groundwater movement and quality changes. This method offers practical solutions that can be applied in water resource management and planning.
Keywords:
groundwater hydrodynamics, groundwater modeling, numerical simulation, geofiltrationDownloads
References
A. Ahmadi et al., "Groundwater Level Modeling with Machine Learning: A Systematic Review and Meta-Analysis," Water, vol. 14, no. 6, Jan. 2022, Art. no. 949.
A. Mosavi et al., "Susceptibility mapping of groundwater salinity using machine learning models," Environmental Science and Pollution Research, vol. 28, no. 9, pp. 10804–10817, Mar. 2021.
A. Lal and B. Datta, "Robust Ensemble Modeling Paradigm for Groundwater Salinity Predictions in Complex Aquifer Systems," in Groundwater Resources Development and Planning in the Semi-Arid Region, C. B. Pande and K. N. Moharir, Eds. Cham: Springer International Publishing, 2021, pp. 53–72.
S. Alaghmand, S. Beecham, and A. Hassanli, "A review of the numerical modelling of salt mobilization from groundwater-surface water interactions," Water Resources, vol. 40, no. 3, pp. 325–341, May 2013.
S. Afrifa, T. Zhang, P. Appiahene, and V. Varadarajan, "Mathematical and Machine Learning Models for Groundwater Level Changes: A Systematic Review and Bibliographic Analysis," Future Internet, vol. 14, no. 9, Sept. 2022, Art. no. 259.
M. El-Rawy, W. Zijl, A. Salem, A. Awad, M. G. Eltarabily, and A. M. Negm, "Fundamentals of Groundwater Modeling Methods and a Focused Review on the Groundwater Models of the Nile Valley Aquifer," in Sustainability of Groundwater in the Nile Valley, Egypt, A. M. Negm and M. El-Rawy, Eds. Cham: Springer International Publishing, 2022, pp. 39–70.
L. Jiao, N. Lu, W. Fang, Z. Li, J. Wang, and Z. Jin, "Determining the independent impact of soil water on forest transpiration: A case study of a black locust plantation in the Loess Plateau, China," Journal of Hydrology, vol. 572, pp. 671–681, May 2019.
F. Kazemi, M. Rabbani, and M. Jozay, "Investigating the plant and air-quality performances of an internal green wall system under hydroponic conditions," Journal of Environmental Management, vol. 275, Dec. 2020, Art. no. 111230.
H. I. Chaminé, M. J. Afonso, and M. Barbieri, "Advances in Urban Groundwater and Sustainable Water Resources Management and Planning: Insights for Improved Designs with Nature, Hazards, and Society," Water, vol. 14, no. 20, Jan. 2022, Art. no. 3347.
R. Meyer, P. Engesgaard, and T. O. Sonnenborg, "Origin and Dynamics of Saltwater Intrusion in a Regional Aquifer: Combining 3-D Saltwater Modeling With Geophysical and Geochemical Data," Water Resources Research, vol. 55, no. 3, pp. 1792–1813, 2019.
C. Qin, Z. Tang, J. Chen, and X. Chen, "The impact of soil and water resource conservation on agricultural production- an analysis of the agricultural production performance in Zhejiang, China," Agricultural Water Management, vol. 240, Oct. 2020, Art. no. 106268.
P. Soundala and P. Saraphirom, "Impact of climate change on groundwater recharge and salinity distribution in the Vientiane basin, Lao PDR," Journal of Water and Climate Change, vol. 13, no. 11, pp. 3812–3829, Oct. 2022.
N. Li, H. Lyu, G. Xu, G. Chi, and X. Su, "Hydrogeochemical changes during artificial groundwater well recharge," Science of The Total Environment, vol. 900, Nov. 2023, Art. no. 165778.
A. J. Frankel, "On Per- and Polyfluoroalkyl Substances: Suggested Resources and Considerations for Groundwater Professionals," Groundwater, vol. 59, no. 4, pp. 481–487, 2021.
T. Kim, D. Lee, J. Shin, Y. Kim, and Y. Cha, "Learning hierarchical Bayesian networks to assess the interaction effects of controlling factors on spatiotemporal patterns of fecal pollution in streams," Science of The Total Environment, vol. 812, Mar. 2022, Art. no. 152520.
M. Ismail, S. M. Pradhanang, T. Boving, S. Motta, B. McCarron, and A. Volk, "Review of Modeling Approaches at the Freshwater and Saltwater interface in Coastal Aquifers," Land, vol. 13, no. 8, Aug. 2024, Art. no. 1332.
B. Zhang, S. Wang, and Y. Wang, "Probabilistic Projections of Multidimensional Flood Risks at a Convection-Permitting Scale," Water Resources Research, vol. 57, no. 1, 2021, Art. no. e2020WR028582.
L. K. Al-Waeli, J. H. Sahib, and H. A. Abbas, "ANN-based model to predict groundwater salinity: A case study of West Najaf–Kerbala region," Open Engineering, vol. 12, no. 1, pp. 120–128, Jan. 2022.
M. H. Msaddek, B. Abdelkarim, L. Zouhri, and Y. Moumni, "Groundwater Salinity Prediction in Deep Desert-Stressed Aquifers Using a Novel Multi-Stage Modeling Framework Integrating Enhanced Ensemble Learning and Hybrid AI Techniques," Water, vol. 17, no. 16, Jan. 2025, Art. no. 2452.
F. Tian, Y. Zhang, and S. Lu, "Spatial-temporal dynamics of cropland ecosystem water-use efficiency and the responses to agricultural water management in the Shiyang River Basin, northwestern China," Agricultural Water Management, vol. 237, July 2020, Art. no. 106176.
L. B. Ball, T. A. Davis, B. J. Minsley, J. M. Gillespie, and M. K. Landon, "Probabilistic Categorical Groundwater Salinity Mapping From Airborne Electromagnetic Data Adjacent to California’s Lost Hills and Belridge Oil Fields," Water Resources Research, vol. 56, no. 6, 2020, Art. no. e2019WR026273.
M. Alquraish, "Modeling and Simulation of Manufacturing Processes and Systems: Overview of Tools, Challenges, and Future Opportunities," Engineering, Technology & Applied Science Research, vol. 12, no. 6, pp. 9779–9786, Dec. 2022.
S. Daliev, D. Karshiev, Y. Islamov, and U. Sharipova, "Mathematical modeling of salt concentration change process in two-layer aqueous media," E3S Web of Conferences, vol. 401, 2023, Art. no. 02009.
S. Daliev, S. Xudoyberdiyev, Z. Abdullayeva, and G. Shikhnazarova, "Three-dimensional mathematical model of groundwater level and salt concentration changes in a single-layer media," AIP Conference Proceedings, vol. 3045, no. 1, Mar. 2024, Art. no. 050014.
B. Khuzhayorov, B. Fayziev, O. Sagdullaev, J. Makhmudov, and U. Saydullaev, "A Model of the Degrading Solute Transport in Porous Media based on the Multi-Stage Kinetic Equation," Engineering, Technology & Applied Science Research, vol. 15, no. 2, pp. 20919–20926, Apr. 2025.
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Copyright (c) 2025 Sherzod Daliev, Sherzod Urakov, Ulugbek Elmurodov, Oxun Xaitov, Maftuna Abbasova

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