Estimating spatial distribution of water quality in landfill site

  • Yoon Hee-Sung (School of Earth and Environmental Science, Seoul National University) ;
  • Lee Kang-Kun (School of Earth and Environmental Science, Seoul National University) ;
  • Lee Seong-Soon (School of Earth and Environmental Science, Seoul National University) ;
  • Lee Jin-Yong (GeoGreen 21) ;
  • Kim Jong-Ho (Environmental Management Corporation)
  • Published : 2006.04.01

Abstract

In this study, the performance of artificial neural network (ANN) models for estimating spatial distribution of water quality was evaluated using electric conductivity (EC) values in landfill site. For the ANN model development, feedforward neural networks and backpropagation algorithm with gradient descent method were used. In Test 1, the interpolation ability of the ANN model was evaluated. Results of the ANN model were more precise than those of the Kriging model. In Test 2, spatial distributions of EC values were predicted using precipitation data. Results seemed to be reasonable, however, they showed a limitation of ANN models in extrapolations.

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