| Title |
Long-term Prediction of Groundwater Level in Jeju Island Using Artificial Neural Network Model |
| Authors |
정일문(Chung, Il-Moon) ; 이정우(Lee, Jeongwoo) ; 장선우(Chang, Sun Woo) |
| DOI |
https://doi.org/10.12652/Ksce.2017.37.6.0981 |
| Keywords |
인공신경망 모형;지하수위 예측;제주도;가뭄 Artificial neural network model;Groundwater level prediction;Jeju Island;Drought |
| Abstract |
Jeju Island is a volcanic island which has a large permeability. Groundwater is a major water resources and its proper management is essential. Especially, there is a multilevel restriction due to the groundwater level decline during a drought period to protect sea water intrusion. Preliminary countermeasure using long-term groundwater level prediction is necessary to use agricultural groundwater properly. For this purpose, the monthly groundwater level prediction technique by Artificial Neural Network model was developed and applied to the representative monitoring wells. The monthly prediction model showed excellent results for training and test periods. The continuous groundwater level prediction model also developed, which used the monthly forecasted values adaptively as input data. The characteristics of groundwater declines were analyzed under extreme cases without precipitation for several months. |