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http://dx.doi.org/10.7857/JSGE.2015.20.3.074

A Method to Filter Out the Effect of River Stage Fluctuations using Time Series Model for Forecasting Groundwater Level and its Application to Groundwater Recharge Estimation  

Yoon, Heesung (Korea Institute of Geoscience and Mineral Resources)
Park, Eungyu (Kyungpook National University)
Kim, Gyoo-Bum (K-water Institute, Geowater+Research Center)
Ha, Kyoochul (Korea Institute of Geoscience and Mineral Resources)
Yoon, Pilsun (Korea Institute of Geoscience and Mineral Resources)
Lee, Seung-Hyun (K-water Institute, Geowater+Research Center)
Publication Information
Journal of Soil and Groundwater Environment / v.20, no.3, 2015 , pp. 74-82 More about this Journal
Abstract
A method to filter out the effect of river stage fluctuations on groundwater level was designed using an artificial neural network-based time series model of groundwater level prediction. The designed method was applied to daily groundwater level data near the Gangjeong-Koryeong Barrage in the Nakdong river. Direct prediction time series models were successfully developed for both cases of before and after the barrage construction using past measurement data of rainfall, river stage, and groundwater level as inputs. The correlation coefficient values between observed and predicted data were over 0.97. Using the time series models the effect of river stage on groundwater level data was filtered out by setting a constant value for river stage inputs. The filtered data were applied to the hybrid water table fluctuation method in order to estimate the groundwater recharge. The calculated ratios of groundwater recharge to precipitation before and after the barrage construction were 11.0% and 4.3%, respectively. It is expected that the proposed method can be a useful tool for groundwater level prediction and recharge estimation in the riverside area.
Keywords
Groundwater level; River stage; Time series model; Recharge;
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Times Cited By KSCI : 4  (Citation Analysis)
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