한국지하수토양환경학회:학술대회논문집 (Proceedings of the Korean Society of Soil and Groundwater Environment Conference)
- 한국지하수토양환경학회 2004년도 임시총회 및 추계학술발표회
- /
- Pages.307-311
- /
- 2004
Artificial neural network application to solute transport through unsaturated zone
- Yoon, Hee-Sung (School of Earth and Environmental Sciences, Seoul National University) ;
-
Lee, Kang-Kun
(School of Earth and Environmental Sciences, Seoul National University)
- 발행 : 2004.09.01
초록
The unsaturated zone is a significant pathway of the surface contaminant movement and is a highly heterogeneous medium. Therefore, there are limitations in applying conventional convection-dispersion equation(CDE). Artificial neural network(ANN) is considered to be a versatile tool for approximating complex functions. For evaluating the applicability of ANN, numerical tests using ANN were conducted with training set generated by HYDRUS-2D which is based on CDE. The results represent that ANN can estimate the solute transport and the choice of network parameters and generation of training set patterns are important for efficient estimation.