Estimating Groundwater Level Change Associated with River Stage and Pumping using Time Series Analyses at a Riverbank Filtration Site in Korea

  • Cheong, Jae-Yeol ;
  • Hamm, Se-Yeong ;
  • Kim, Hyoung-Soo ;
  • Lee, Soo-Hyoung ;
  • Park, Heung-Jai
  • Received : 2017.09.22
  • Accepted : 2017.10.17
  • Published : 2017.10.31


At riverbank filtration sites, groundwater levels of alluvial aquifers near rivers are sensitive to variation in river discharge and pumping quantities. In this study, the groundwater level fluctuation, pumping quantity, and streamflow rate at the site of a riverbank filtration plant, which produces drinking water, in the lower Nakdong River basin, South Korea were interrelated. The relationship between drawdown ratio and river discharge was very strong with a correlation coefficient of 0.96, showing a greater drawdown ratio in the wet season than in the dry season. Autocorrelation and cross-correlation were carried out to characterize groundwater level fluctuation. Autoregressive model analysis of groundwater water level fluctuation led to efficient estimation and prediction of pumping for riverbank filtration in relation to river discharge rates, using simple inputs of river discharge and pumping data, without the need for numerical models that require data regarding several aquifer properties and hydrologic parameters.


Time series analyses;Autoregressive model;Groundwater level;Stream discharge;Riverbank filtration


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Supported by : National Research Foundation of Korea (NRF), Jungwon University