Time Series Analysis of Groundwater Level Data Obtained from National Groundwater Monitoring Stations

국가 지하수관측소 지하수위 자료에 대한 시계열분석 연구

Yi, Myeong-Jae;Kim, Gyoo-Bum;Sohn, Young-Chul;Lee, Jin-Yong;Lee, Kang-Kun
이명재;김규범;손영철;이진용;이강근

  • Published : 20040900

Abstract

National groundwater monitoring network consisting of 266 stations in 2004 has been operated and managed by Korea Water Resources Corporation. Groundwater level, water temperature, and electrical conductivity are measured every 6 hours at the station using automatic logger equipped with each sensor. Groundwater level represents physical conditions of groundwater system of interest and it forms consecutive time series. Meanwhile it is not feasible to represent certain characteristics of water level using typical statistical method because the time series data are highly auto-correlated. This study reviewed theoretical background of the time series analysis in detail and classified variation patterns of water levels obtained from some representative stations of national groundwater monitoring network within Han river basin and evaluated feasibility of applying some time series models to the data.

한국수자원공사는 2004년 현재 전국에 걸쳐 266개의 국가 지하수관측소를 운영하고 있으며 자동센서를 통하여 매 6시간마다 지하수위, 전기전도도 및 수온을 관측기록하고 있다. 지하수위는 해당 지하수 시스템의 물리적 특성을 반영하는 인자로 시계열 형태로 나타난다. 그런데 전통적인 통계기법으로는 자기상관성이 큰 연속적인 수위자료의 특성을 나타내는데 어려움이 있다. 본 연구에서는 지하수위 자료를 분석하기 위한 도구로서 시계열분석에 관한 이론적 배경을 검토하고 또 한강권역에 속하는 국가지하수 관측소에서 획득한 지하수위 자료의 변동 패턴을 분류하여 각 패턴에 대한 시계열 모형의 분석가능성을 평가하였다.

Keywords

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