Groundwater Flow Modeling Using Finite Element Method and Intelligent Aquifer Mesh
DOI:
https://doi.org/10.61186/JCER.8.1.77Keywords:
Aquifer, Finite Element Method, Groundwater Flow Modeling, Intelligent Aquifer Mesh, Pumping WellAbstract
In groundwater flow modeling, as in any modeling problem, a certain amount of error is inevitable. In groundwater flow and contaminant transport modeling, recharge and discharge wells act as point sources or sinks. How these wells are treated can influence accuracy and reduce uncertainty or increase the amount of error. This study investigates an intelligent aquifer mesh. To illastrate the theory, two hypothetical aquifers with triangular and square elements were examined, in both confined and unconfined conditions. In the intelligent aquifer mesh, after gridding the model domain, pumping or recharge wells are considered as nodes. Consequently, the numbering of nodes and elements are updated accordingly. Groundwater flow modeling is performed on the updated mesh to enhance accuracy. The results of this research indicated that considering the recharge and pumping wells as a node and re-gridding the model area can perform groundwater flow modeling with more accuracy and ultimately the results will be more reliable.
References
[1] Chávez-Negrete C, Domínguez-Mota FJ, Román-Gutiérrez R (2024). Interface formulation for generalized finite difference method for solving groundwater flow. Computers and Geotechnics. 166, 105990. https://doi.org/10.1016/j.compgeo.2023.105990
[2] Akbarpour A, Zeynali MJ, Tahroudi MN (2020). Locating optimal position of pumping Wells in aquifer using meta-heuristic algorithms and finite element method. Water Resources Management, 34(1), 21-34. https://doi.org/10.1007/s11269-019-02386-6
[3] Singh KG, Pathania T (2025). Development and real field application of meshless generalized finite difference method for unconfined groundwater flow modelling. Mathematics and Computers in Simulation. https://doi.org/10.1016/j.matcom.2024.108855
[4] Zeynali MJ, Pourreza-Bilondi M, Akbarpour A, Yazdi J, Zekri S (2022). Optimizing pump-and-treat method by considering important remediation objectives. Applied Water Science. 12(12): 268. https://doi.org/10.1007/s13201-022-01782-5
[5] Zeynali MJ, Nazeri Tahroudi M, Mohammadrezapour O (2024). Optimizing Pump-and-Treat Method by Using Optimization-Simulation Models. Sustainable Earth Trends. 4(3): 19-30. https://doi.org/10.48308/set.2024.236332.1060
[6] Zeynali MJ, Nazeri Tahroudi M, Mohammadrezapour O (2024). Investigating the Optimization-Simulation Problem of Groundwater Remediation Under Various Scenarios. Water Harvesting Research. 7(1): 125-139. https://doi.org/10.22077/jwhr.2024.7158.1099
[7] Kumar D, Ch S, Mathur S, Adamowski J (2015). Multi-objective optimization of in-situ bioremediation of groundwater using a hybrid metaheuristic technique based on differential evolution, genetic algorithms and simulated annealing. Journal of Water and Land Development, 27(1), 29-40. https://doi.org/10.1515/jwld-2015-0016
[8] Mategaonkar M, Eldho TI, Kamat S (2018). In-situ bioremediation of groundwater using a meshfree model and particle swarm optimization. Journal of Hydroinformatics, 20(4): 886-897. https://doi.org/10.2166/hydro.2018.110
[9] Guneshwor L, Eldho TI, Kumar AV (2018). Identification of Groundwater Contamination Sources Using Meshfree RPCM Simulation and Particle Swarm Optimization. Water Resources Management, 32(4): 1517-1538. https://doi.org/10.1007/s11269-017-1889-8
[10] Mohtashami A, Akbarpour A, Mollazadeh M (2017). Development of two-dimensional groundwater flow simulation model using meshless method based on MLS approximation function in unconfined aquifer in transient state. Journal of Hydroinformatics, 19(5), 640-652. https://doi.org/10.2166/hydro.2017.005
[11] Eldho TI, Swathi B (2018). Groundwater contamination problems and numerical simulation. Environmental Contaminants: Measurement, Modelling and Control, 167-194. https://doi.org/10.1007/978-981-10-7332-8_8
[12] Ghafouri HR, Darabi BS (2007). Optimal identification of ground-water pollution sources. International Journal of Civil Engineering, 5(2), 144-156. https://doi.org/10.1007/s40999-007-0014-3
[13] Sharief SMV, Eldho TI, Rastogi AK, Gurunadha Rao VVS (2012). Optimal groundwater remediation by pump and treat using FEM-and EGA-based simulation-optimization model. Journal of Hazardous, Toxic, and Radioactive Waste. 16(2): 106-117. https://doi.org/10.1061/(ASCE)HZ.2153-5515.0000097
[14] Zeynali MJ, Pourreza-Bilondi M, Akbarpour A, Yazdi J, Zekri S (2022). Development of a contaminant concentration transport model for sulfate-contaminated areas. Applied Water Science. 12(7): 169. https://doi.org/10.1007/s13201-022-01689-1
[15] Zeynali MJ, Nazeri Tahroudi M, Mohammadrezapour O (2025). Groundwater Flow Modeling and Adopting a Different Approach in Dealing Pumping Wells. Water Harvesting Research, 8(2), 284-298. https://doi.org/10.22077/jwhr.2025.10542.1195
[16] Illangasekare TH, Döll P (1989). A discrete kernel method of characteristics model of solute transport in water table aquifers. Water Resources Research, 25(5), 857–867. https://doi.org/10.1029/WR025i005p00857
[17] Kulkarni NH (2015). Numerical simulation of groundwater recharge from an injection well. International Journal of Water Resources and Environmental Engineering, 7(5), 75-83. https://doi.org/10.5897/IJWREE2015.0584
[18] Jafarzadeh A, Pourreza-Bilondi M, Akbarpour A, Khashei-Siuki A, Samadi S (2021). Application of multi-model ensemble averaging techniques for groundwater simulation: synthetic and real-world case studies. Journal of Hydroinformatics, 23(6), 1271-1289. https://doi.org/10.2166/hydro.2021.058
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