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Qin, R., Lin, L., Kuang, C., Su, T.C., Mao, X. and Zhou, Y. (2017) A GIS-Based Software for Forecasting Pollutant Drift on Coastal Water Surfaces Using Fractional Brownian Motion: A Case Study on Red Tide Drift. Environmental Modelling & Software, 92, 252-260.

has been cited by the following article:

• TITLE: Numerical Simulation of Groundwater Pollution Problems Based on Convection Diffusion Equation

  AUTHORS: Lingyu Li, Zhe Yin

  KEYWORDS: Groundwater Pollution, Two-Dimensional Convection Diffusion Equation, Finite Difference Method, Visualization, Numerical Simulation

  JOURNAL NAME: American Journal of Computational Mathematics, Vol.7 No.3, September 6, 2017

  ABSTRACT: The analytical solution of the convection diffusion equation is considered by two-dimensional Fourier transform and the inverse Fourier transform. To get the numerical solution, the Crank-Nicolson finite difference method is constructed, which is second-order accurate in time and space. Numerical simulation shows excellent agreement with the analytical solution. The dynamic visualization of the simulating results is realized on ArcGIS platform. This work provides a quick and intuitive decision-making basis for water resources protection, especially in dealing with water pollution emergencies.