Pump-and-treat optimization using analytic element method flow models |
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| Authors: | L Shawn Matott Alan J Rabideau James R Craig |
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| Institution: | 1. Department of Civil, Structural, and Environmental Engineering, 207 Jarvis Hall, University at Buffalo, Buffalo, NY 14260, United States;2. Department of Civil Engineering, University of Waterloo, 200 University Avenue West Waterloo, Ont., Canada N2L 3G1 |
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| Abstract: | Plume containment using pump-and-treat (PAT) technology continues to be a popular remediation technique for sites with extensive groundwater contamination. As such, optimization of PAT systems, where cost is minimized subject to various remediation constraints, is the focus of an important and growing body of research. While previous pump-and-treat optimization (PATO) studies have used discretized (finite element or finite difference) flow models, the present study examines the use of analytic element method (AEM) flow models. In a series of numerical experiments, two PATO problems adapted from the literature are optimized using a multi-algorithmic optimization software package coupled with an AEM flow model. The experiments apply several different optimization algorithms and explore the use of various pump-and-treat cost and constraint formulations. The results demonstrate that AEM models can be used to optimize the number, locations and pumping rates of wells in a pump-and-treat containment system. Furthermore, the results illustrate that a total outflux constraint placed along the plume boundary can be used to enforce plume containment. Such constraints are shown to be efficient and reliable alternatives to conventional particle tracking and gradient control techniques. Finally, the particle swarm optimization (PSO) technique is identified as an effective algorithm for solving pump-and-treat optimization problems. A parallel version of the PSO algorithm is shown to have linear speedup, suggesting that the algorithm is suitable for application to problems that are computationally demanding and involve large numbers of wells. |
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| Keywords: | Groundwater Optimization Particle swarm Analytic element Pump-and-treat |
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