A Novel Intelligent Inversion Method of Hydrogeological Parameters Based on the Disturbance-Inspired Equilibrium Optimizer
W. Y. Wang,
J. T. Kang,
Kai Li,
Y. H. Fan and
P. Lin
Additional contact information
W. Y. Wang: School of Qilu Transportation, Shandong University, Jinan 250061, China
J. T. Kang: School of Qilu Transportation, Shandong University, Jinan 250061, China
Kai Li: School of Qilu Transportation, Shandong University, Jinan 250061, China
Y. H. Fan: Geotechnical & Structural Engineering Research Center, Shandong University, Jinan 250061, China
P. Lin: Geotechnical & Structural Engineering Research Center, Shandong University, Jinan 250061, China
Sustainability, 2022, vol. 14, issue 6, 1-19
Abstract:
Accurate and quick acquisition of hydrogeological parameters is the critical issue for groundwater numerical simulation and sustainability of the water sources. A novel intelligent inversion method of hydrogeological parameter, based on the global optimization algorithm called the disturbance-inspired equilibrium optimizer (DIEO), is developed. Firstly, the mathematical model and the framework of DIEO are reported. Several types of mathematical benchmark functions are used to test the performance of the DIEO. Furthermore, the intelligent inversion of hydrogeological parameters of pumping tests is transformed into the global optimization problem, which can be solved by meta-heuristic algorithms. The objective function for hydrogeological parameter inversion is constructed, and the novel inversion method based on DIEO is finally proposed. To further validate the competitiveness and efficiency of the proposed intelligent inversion method, three types of case studies are carried out. The results show that the proposed intelligent inversion method is reliable for obtaining the hydrogeological parameters accurately and quickly, providing a reference for the inversion of parameters in other fields.
Keywords: pumping test; intelligent inversion; optimization methods; disturbance-inspired equilibrium optimizer algorithm; hydrogeological parameters (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:14:y:2022:i:6:p:3267-:d:768696
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