| Autor: |
Shoou-Yuh Chang, Elvis B. Addai |
| Rok vydání: |
2016 |
| Předmět: |
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| Zdroj: |
Proceedings of the 2013 National Conference on Advances in Environmental Science and Technology ISBN: 9783319199221 |
| DOI: |
10.1007/978-3-319-19923-8_7 |
| Popis: |
Pollution of groundwater can be harmful to the environment. The use of subsurface contaminant transport models, combined with stochastic data assimilation schemes, can give on-target predictions of contaminant transport to enhance the reliability of risk assessment in the area of environmental remediation. In this study, a two-dimensional transport model with advection and dispersion is used as the deterministic model of contaminant transport in the subsurface. An Adaptive Extended Kalman Filter (AEKF) is constructed as a stochastic data assimilation scheme to meliorate the prediction of the contaminant concentration. The effectiveness of the AEKF is determined by using a root mean square error (RMSE) of pollutant concentrations in contaminant transport modeling. The implementation of the AEKF was successful in improving the prediction accuracy of the deterministic model by about 60.7 % which shows a substantial improvement in the prediction of the contaminant concentration in the subsurface environment. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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