Mathematics and Computers in Simulation - Special issue: selection of papers presented at the MSSA/IMACS 11th biennial conference on modelling and simulation, Newcastle, New South Wales, Australia, November 1995
PEAS: A toolbox to assess the accuracy of estimated parameters in environmental models
Environmental Modelling & Software
An effective screening design for sensitivity analysis of large models
Environmental Modelling & Software
Uncertainty in the environmental modelling process - A framework and guidance
Environmental Modelling & Software
Algebraic sensitivity analysis of environmental models
Environmental Modelling & Software
Environmental Modelling & Software
Environmental Modelling & Software
FITOVERT: A dynamic numerical model of subsurface vertical flow constructed wetlands
Environmental Modelling & Software
A Multi-scale Agent-Based Distributed Simulation Framework for Groundwater Pollution Management
DS-RT '11 Proceedings of the 2011 IEEE/ACM 15th International Symposium on Distributed Simulation and Real Time Applications
Environmental Modelling & Software
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This work presents a numerical model able to simulate the effect of biomass growth on the hydraulic properties of saturated porous media, i.e., bioclogging. A new module for an existing coupled flow and reactive-transport code-PHWAT-was implemented. Laboratory experiments were used to validate the model. Good agreement with the experimental data was found. Model behavior was satisfactory in terms of numerical discretization errors and parameter calibration, although-grid-independent results were difficult to achieve. The new code was applied to investigate the effect of the initial conditions on clogging development. A set of simulations was conducted considering 1D and 2D flow conditions, for both uniform and heterogeneous initial biomass concentrations. The simulation results demonstrated that the rate and patterns of bioclogging development are sensitive to the initial biomass distribution. Thus, the common assumption of an initially uniform biomass distribution may not be appropriate and may introduce a significant error in the modeling results.