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http://dx.doi.org/10.3741/JKWRA.2009.42.8.673

A Model for Groundwater Time-series from the Well Field of Riverbank Filtration  

Lee, Sang-Il (Dept. of Civil and Environmental Eng., Dongguk Univ.)
Lee, Sang-Ki (Dept. of Civil and Environmental Eng. Dongguk Univ.)
Hamm, Se-Yeong (Division of Earth & Environmental System Sciences, Pusan National Univ.)
Publication Information
Journal of Korea Water Resources Association / v.42, no.8, 2009 , pp. 673-680 More about this Journal
Abstract
Alternatives to conventional water resources are being sought due to the scarcity and the poor quality of surface water. Riverbank filtration (RBF) is one of them and considered as a promising source of water supply in some cities. Changwon City has started RBF in 2001 and field data have been accumulated. This study is to develop a time-series model for groundwater level data collected from the pumping area of RBF. The site is Daesan-myeon, Changwon City, where groundwater level data have been measured for the last five years (Jan. 2003$\sim$Dec. 2007). Minute-based groundwater levels was averaged out to monthly data to see the long-term behavior. Time-series analysis was conducted according to the Box-Jenkins method. The resulted model turned out to be a seasonal ARIMA model, and its forecasting performance was satisfactory. We believe this study will provide a prototype for other riverbank filtration sites where the predictability of groundwater level is essential for the reliable supply of water.
Keywords
Time-series; Seasonal ARIMA; Riverbank filtration; Groundwater level;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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