Abstract
This study investigates the application of time series analysis for evaluating groundwater discharge rates into a subway system in Seoul, Korea. A time series of daily precipitation and groundwater discharge rates observed at three subway stations— Gireum, Garibong and Sadang station—in 2001 were used for the time series modeling. Correlation analyses show that groundwater discharge rates are auto-correlated and correlated with precipitation. Based on these correlation analyses, the transfer function noise (TFN) models including the Box-Jenkins (BJ) autoregressive moving average (ARMA) model were applied to evaluate the groundwater discharge rates into a subway tunnel when precipitation data is given. As a result, the TFN model is acceptable at all three stations. Though the analyses are limited to regularly observed time series data and a linear groundwater system, this study provides a practical application of time series models for groundwater discharge management in the subway system. In particular, for the Seoul subway system where the rapid deterioration of water resources occurs, the estimation of groundwater discharge rates is very important for an efficient management of the water resources in the urban environment.
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Kim, SJ., Hyun, Y. & Lee, KK. Time series modeling for evaluation of groundwater discharge rates into an urban subway system. Geosci J 9, 15–22 (2005). https://doi.org/10.1007/BF02910550
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DOI: https://doi.org/10.1007/BF02910550