Prediction Method of Concentration Distribution of Groundwater Pollutants Using a Field Monitoring Network Systemby Akira Kawamura, Kyushu Univ, Fukuoka, Japan,
Kenji Jinno, Kyushu Univ, Fukuoka, Japan,
Abstract: A method based on the extended Kalman filter is developed to identify the parameters of a two-dimensional stochastic convective-dispersion differential equation and to predict in real-time the spatial concentration distribution of groundwater pollutants using a field monitoring network system. To study the various characteristics of this method, it is applied to a synthetically generated concentration distribution. Results show that this method provides an effective parameter identification, thereby giving accurate predictions of the concentration distribution. The factors affecting the accuracy of the prediction are also studied.
Subject Headings: Filters | Groundwater pollution | Stochastic processes | Pollutants | Hydrologic models | Kalman filters | Parameters (statistics)
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