Abstract
The aim of this study is to simulate the transport of degraded nitrate by nano-Fe/Cu particles in the length of a packed sand column. A meta-modeling approach based on the adaptive neuro-fuzzy inference system (ANFIS) method and a finite volume modeling of the 1D advection–dispersion–reaction equation (ADRE) have been used for simulation of this system. A mixed order kinetic reaction model (Monod-type kinetics) has been used for sink/source term in ADRE. In the ANFIS modeling, three scenarios have been designed to determine the model’s optimum set of input–output variables. The comparison results show that in spite of capability of the ANFIS as a powerful tool for data-oriented modeling, the physical-based model for advection–dispersion–reaction phenomena is more efficient in nitrate transport simulation in the presence of nano-Fe/Cu particles.
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Hosseini, S.M., Kholghi, M. & Vagharfard, H. Numerical and Meta-Modeling of Nitrate Transport Reduced by Nano-Fe/Cu Particles in Packed Sand Column. Transp Porous Med 94, 149–174 (2012). https://doi.org/10.1007/s11242-012-9994-z
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DOI: https://doi.org/10.1007/s11242-012-9994-z