Comparison between local and global Mesh-free methods for Ground-Water modeling
نویسندگان
چکیده
Ground water pollution is a serious environmental problem that may damage human health, destroy the ecosystem and cause water shortage. In all situations, we need tool to predict the pollutant distribution in ground water. The only tool that we can use is mathematical modeling. Recently, very intensive efforts have been devoted to develop meshless or element free methods that eliminate the need of element connectivity. The motivation is to cut down modeling costs in industrial applications by avoiding the labor intensive step of mesh generation. In this paper we develop and compare two types of a meshfree method for modeling groundwater contaminant transport: globally supported multiquadric radial basis function (MQRBF) and locally supported compactly supported radial basis functions (CSRBF). The algorithm uses collocation method with radial basis functions. RBF is a truly meshfree method and can be used to solve complex geometry and high dimensional problems very easily compared to other classical numerical method. Numerical results are presented for 1-D, 2-D and 3-D groundwater contaminant transport models. The results show that the method is very simple and accurate.
منابع مشابه
Coupling Nonlinear Element Free Galerkin and Linear Galerkin Finite Volume Solver for 2D Modeling of Local Plasticity in Structural Material
This paper introduces a computational strategy to collaboratively develop the Galerkin Finite Volume Method (GFVM) as one of the most straightforward and efficient explicit numerical methods to solve structural problems encountering material nonlinearity in a small limited area, while the remainder of the domain represents a linear elastic behavior. In this regard, the Element Free Galerkin met...
متن کاملComparison of Geographically Weighted Regression and Regression Kriging to Estimate the Spatial Distribution of Aboveground Biomass of Zagros Forests
Aboveground biomass (AGB) of forests is an essential component of the global carbon cycle. Mapping above-ground biomass is important for estimating CO2 emissions, and planning and monitoring of forests and ecosystem productivity. Remote sensing provides wide observations to monitor forest coverage, the Landsat 8 mission provides valuable opportunities for quantifying the distribution of above-g...
متن کاملIncreasing accuracy of TPXO global tidal model using TELEMA numerical model in Bushehr Bay
Abstract Several methods have been developed such as experimental methods, numerical and computational models for studying the prediction of water level. The purpose of this research is to evaluate and verification Telemac's numerical tidal model in Bushehr Bay waters using measured data. In this regard, the Telemac 2D module has been used to simulate the tide in a A course, 15 days from 01/08...
متن کاملGlobal sensitivity analysis techniques for probabilistic ground water modeling.
Global sensitivity analysis techniques are better suited for analyzing input-output relationships over the full range of parameter variations and model outcomes, as opposed to local sensitivity analysis carried out around a reference point. This article describes three such techniques: (1) stepwise rank regression analysis for building input-output models to identify key contributors to output ...
متن کاملA Comparison of Smart and Conventional Flaps Close to Ground on Aerodynamic Performance
The prediction of aerodynamic characteristics and smart flap of airfoil under the ground effect are carried out by the integration of computational fluid dynamics. Considering different types of beams, a parametric bending profile of a smart flap is designed. Cantilever beam with uniformly varying load with roller support at the free end is considered in here. A pressure-based implicit procedur...
متن کامل