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In this paper, a novel approximate triangular fuzzy finite element method (FEM) is proposed to solve the one-dimensional second-order unsteady nonlinear fuzzy partial differential Boussinesq equation. The physical problem concerns the case of the drought flow of a horizontal unconfined aquifer with a limited breath B and special boundary conditions: (a) at x = 0, the water level is equal to zero, and (b) at x = B, the flow rate is equal to zero due to the presence of an impermeable wall. The initial water table is assumed to be curvilinear, following the form of an inverse incomplete beta function. To account for uncertainties in the system, the hydraulic parameters—hydraulic conductivity (K) and porosity (S)—are treated as fuzzy variables, considering sources of imprecision such as measurement errors and human-induced uncertainties. The performance of the proposed fuzzy FEM scheme is compared with the previously developed orthogonal fuzzy FEM solution as well as with an analytical solution. The results are in close agreement with those of the other methods, with the mean error of the analytical solution found to be equal to
Details
Finite volume method;
Groundwater flow;
Mathematical analysis;
Fuzzy sets;
Boundary conditions;
Aquifers;
Flow rates;
Drought;
Approximation;
Human influences;
Uncertainty;
Hydraulic conductivity;
Water levels;
Water resources management;
Partial differential equations;
Boussinesq equations;
Water table;
Exact solutions;
Water resources;
Boussinesq approximation;
Finite element analysis;
Groundwater table;
Fluid dynamics;
Porosity;
Hydraulic properties;
Drainage;
Numerical analysis;
Unconfined aquifers;
Differential equations;
Human error;
Hydraulics;
Environmental planning;
Hydrology
; Papadopoulos Kyriakos 2
; Evangelides Christos 1
1 Laboratory of Hydraulic Works and Environmental Management, Department of Rural and Surveying Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece; [email protected] (C.T.); [email protected] (C.E.)
2 Department of Mathematics, Faculty of Science, Kuwait University, Sabah Al Salem University City, Safat 13060, Kuwait; [email protected]