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SIMULATION-OPTIMIZATION APPROACH FOR THE CONSIDERATION OF WELL CLOGGING DURING COST ESTIMATION OF IN SITU BIOREMEDIATION SYSTEM
Yadav, B., S. Mathur, S. Ch, and B.K. Yadav.
Journal of Hydrologic Engineering 23(3):(2018)

Enhanced bioremediation techniques have the potential to change the hydrogeological properties of contaminated aquifers, most notably via biological clogging, resulting in reduction of porosity and hydraulic conductivity of the porous media. Biological clogging was accounted for during the cost optimization of an in situ bioremediation system. A simulation-optimization approach based on extreme learning machine and particle swarm optimization (ELM-PSO) techniques was used to design an optimal in situ bioremediation system for a characteristic site. A 2D finite-difference model was used to acquire the data for ELM training and testing. A single-objective function was considered to optimize pumping cost, facility capital cost, and well cleaning cost for a clogged well. Application of the ELM-PSO method where well clogging occurred provided a more practical and realistic cost for a typical in situ bioremediation system.



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