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http://dx.doi.org/10.12652/Ksce.2017.37.6.0981

Long-term Prediction of Groundwater Level in Jeju Island Using Artificial Neural Network Model  

Chung, Il-Moon (Korea Institute of Civil engineering and building Technology)
Lee, Jeongwoo (Korea Institute of Civil engineering and building Technology)
Chang, Sun Woo (Korea Institute of Civil engineering and building Technology)
Publication Information
KSCE Journal of Civil and Environmental Engineering Research / v.37, no.6, 2017 , pp. 981-987 More about this Journal
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.
Keywords
Artificial neural network model; Groundwater level prediction; Jeju Island; Drought;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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