Abstract
AbstractApplication of a developed methodology for characterization of distributed contaminant sources in a contaminated mine site aquifer involving complex geochemical processes is presented. Linked simulation-optimization models are widely used as efficient tools for identifying unknown groundwater pollution sources. This is an essential first step in determining effective and reliable groundwater management and remediation strategies for a polluted aquifer. However, linking robust numerical models to simulate the transport processes of reactive chemical contaminant species in aquifers involving complex and highly nonlinear physical and geochemical process increases the computational burden extensively, and may affect the feasibility and efficiency of the methodology. To overcome this computational limitation and improve the computational feasibility by avoiding the necessity of repeated numerical simulations, genetic programming-based trained surrogate models are developed to approximately simulate suc...
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More From: Journal of Water Resources Planning and Management
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