2017
DOI: 10.1166/asl.2017.8721
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Numerical Solution of Distribution Model 2-D of Concentration on Chemical Oxygen Demand in Waste Stabilization Ponds

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Cited by 2 publications
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“…In another work, Sunarsih et al [27] formed 13 sets of nonlinear simultaneous differential equations to evaluate the functions of WWTPs. Furthermore, Sunarsih et al [28,29] applied finite difference numerical method and Dufort Frankel method to one-and two-dimensional chemical oxygen demand (COD) concentration model in waste stabilization ponds and in simulation of advection-diffusion on flow in waste stabilization ponds (1-dimension) with finite difference method forward time central-space scheme [30]. In addition, Sunarsih et al [31] also completed the two-dimensional advection dispersion model of BOD concentration by utilizing finite difference methods for validating it.…”
Section: Introductionmentioning
confidence: 99%
“…In another work, Sunarsih et al [27] formed 13 sets of nonlinear simultaneous differential equations to evaluate the functions of WWTPs. Furthermore, Sunarsih et al [28,29] applied finite difference numerical method and Dufort Frankel method to one-and two-dimensional chemical oxygen demand (COD) concentration model in waste stabilization ponds and in simulation of advection-diffusion on flow in waste stabilization ponds (1-dimension) with finite difference method forward time central-space scheme [30]. In addition, Sunarsih et al [31] also completed the two-dimensional advection dispersion model of BOD concentration by utilizing finite difference methods for validating it.…”
Section: Introductionmentioning
confidence: 99%
“…Research has also been carried out by authors in the waste stabilization ponds, that is [10][11] solving the Chemical Oxygen Demand (COD) concentration deployment model on one side of the waste stabilization pool (1-D) and on a plane (2-D) with based on advection-diffusion mechanisms using finite difference Dufort Frankel and [12] solving advection-diffusion model of Biological Oxygen Demand (BOD) concentration of 2-dimension using finite difference method.…”
Section: Introductionmentioning
confidence: 99%