Scholarly record
OPTIMAL ESTIMATION OF HYDROGEOLOGIC PARAMETERS IN UNCONFINED AQUIFER SYSTEMS USING THE SHUFFLED ANT LION OPTIMIZATION APPROACH
Abstract
The estimation of aquifer parameters is a critical issue in groundwater modeling. Traditionally, these parameters are determined using manual curve-matching techniques. However, the accuracy of these methods heavily relies on the modeler-s expertise, which can lead to graphical or human-induced errors. To address these challenges, a coupled simulation-optimization framework is proposed for identifying the hydrogeologic parameters of unconfined aquifer systems. In the simulation phase of the proposed framework, drawdown values at specified locations and times are simulated based on Neuman-s solution for unconfined aquifers. This simulation part is then integrated into an optimization model that employs the recently introduced SHuffled Ant Lion Optimization (SHALO) approach. The primary goal of SHALO-based optimization approach is to minimize the discrepancy between simulated and observed drawdown values to accurately estimate hydrogeologic parameters. The effectiveness of the proposed approach is assessed using a pumping test dataset from the literature. The results demonstrate that the SHALO-based simulation-optimization framework outperforms the manual curve-matching techniques in parameter estimation accuracy.
Publication Impact Profile
- Captures
- Mendeley - Readers: 1
Publication details
References9
Theis C.V., The relation between the lowering of the piezometric surface and the rate and duration of discharge of well using groundwater storage, Trans. Am. Geophys. Union, USA, vol. 16, pp. 519�524, 1935. DOI: 10.1029/tr016i002p00519
Hantush M.S., Jacob C.E., Non-steady radial flow in an infinite leaky aquifer, Trans. Am. Geophys. Union, USA, vol. 36, pp. 95�100, 1955. DOI: 10.1029/tr036i001p00095
Neuman S.P., Effect of partial penetration on flow in unconfined aquifers considering delayed gravity response, Water Resources Research, USA, vol. 10, no. 2, pp. 303�312, 1974. DOI: 10.1029/wr010i002p00303
Huang Y.C., Yeh H.D., Lin Y.C., A computer method based on simulated annealing to identify aquifer parameters using pumping-test data, Int. J. Numer. Anal. Meth. Geomech., USA, vol. 32, pp. 235�249, 2008. DOI: 10.1002/nag.623
Samuel M.P., Jha M.K., Estimation of aquifer parameters from pumping test data by genetic algorithm optimization technique, Journal of Irrigation and Drainage Engineering, USA, vol. 129, 2003. DOI: 10.1061/(asce)0733-9437(2003)129:5(348)
Sun N.Z., Inverse problems in groundwater modeling, Kluwer Academic, Dordrecht, the Netherlands, 1994.
Willis R., Yeh W.W.G., Groundwater system planning and management, Prentice-Hall, Englewood Cliffs, N.J., 1987.
Mirjalili S., The Ant Lion Optimizer, Advances in Engineering Software, UK, vol. 83, pp. 80�98, 2015. DOI: 10.1016/j.advengsoft.2015.01.010
Durgut P.G., Tozak M.B., Ayvaz M.T., Shuffled Ant Lion Optimization Approach with an Exponentially Weighted Random Walk Strategy, Neural Computing and Applications, USA, vol. 36, pp. 10475�10499, 2024. DOI: 10.1007/s00521-024-09566-5
View or Download full articleAccess options
SWS access login
Login as SWS Scientific CommitteeLogin as SWS Scientific PartnerLogin as SWS AuthorAuthors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.
For librarian assistance: [email protected]
Purchase Instant Access
- Article can be downloaded after successful payment.
- Article may be used according to SWS library access terms.
- Article cannot be redistributed.