2011The Journal of Engineering GeologyRequires access

The Study on Time Series Analysis of Groundwater Data and Groundwater Recharge in Jeju Island

Hyun-Mi Choi, Jin‐Yong Lee, Kyoochul Ha, Gee-Pyo Kim

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Abstract

제주도 지하수위, 지하수온, 전기전도도의 변동특성 및 상관관계를 평가하고 또 지하수위변동법을 이용하여 지하수 함양률을 추정하였다. 자기상관분석을 통하여 각 관정 별 수위의 지연시간과 조절시간을 산정한 결과 자기상관성은 JM안성 관정이 가장 컸다. 그라고 교차상관분석으로 전기전도도-수위, 강수량-수위, 기온-수온간의 상관성을 분석하고 비교하였다. 분석결과 전기전도도-수위는 JR서광2, 강수량-수위는 JD하모, 기온-수온은 JI원종장2가 상호연관성이 가장 높았다. 지하수 함양률과 함양량을 산정한 결과 함양률은 평균 39.61%, 함양량은 평균 1,153,490,407 $m^3/yr$ 으로 산정되어 기존의 연구결과와 유사하였다. We examined temporal variations in and relationships among groundwater level, groundwater temperature, and electric conductivity, and estimated groundwater recharge at Jeju Island. The time lag and regulation time of groundwater level data revealed that monitoring well in Ansung (JM-AS) has the highest auto-correlation. The cross-correlations for electric conductivity-water level, precipitation-water level, and air temperature-water temperature revealed that monitoring well in Seogwi-2 (JR-SG2) (electric conductivity-water level), monitoring well in Hamo (JD-HM) (precipitation-water level), and monitoring well in Wonjongjang-2 (JT-WJJ2) (air temperature-water temperature) had the highest cross-correlations. The average groundwater recharge ratio was 39.61%, and the average groundwater recharge amount was 1,153,490,407 $m^3/yr$ , which is consistent with the results of previous studies.

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What this paper is about

제주도 지하수위, 지하수온, 전기전도도의 변동특성 및 상관관계를 평가하고 또 지하수위변동법을 이용하여 지하수 함양률을 추정하였다. 자기상관분석을 통하여 각 관정 별 수위의 지연시간과 조절시간을 산정한 결과 자기상관성은 JM안성 관정이 가장 컸다. 그라고 교차상관분석으로 전기전도도-수위, 강수량-수위, 기온-수온간의 상관성을 분석하고 비교하였다. 분석결과 전기전도도-수위는 JR서광2, 강수량-수위는 JD하모, 기온-수온은 JI원종장2가 상호연관성이 가장 높았다. 지하수 함양률과 함양량을 산정한 결과 함양률은 평균 39.61%, 함양량은 평균 1,153,490,407 $m^3/yr$ 으로 산정되어 기존의 연구결과와 유사하였다. We examined temporal variations in and relationships among groundwater level, groundwater temperature, and electric conductivity, and estimated groundwater recharge at Jeju Island. The time lag and regulation time of groundwater level data revealed that monitoring well in Ansung (JM-AS) has the highest auto-correlation. The cross-correlations for electric conductivity-water level, precipitation-water level, and air temperature-water temperature revealed that monitoring well in Seogwi-2 (JR-SG2) (electric conductivity-water level), monitoring well in Hamo (JD-HM) (precipitation-water level), and monitoring well in Wonjongjang-2 (JT-WJJ2) (air temperature-water temperature) had the highest cross-correlations. The average groundwater recharge ratio was 39.61%, and the average groundwater recharge amount was 1,153,490,407 $m^3/yr$ , which is consistent with the results of previous studies.

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Available abstract

제주도 지하수위, 지하수온, 전기전도도의 변동특성 및 상관관계를 평가하고 또 지하수위변동법을 이용하여 지하수 함양률을 추정하였다. 자기상관분석을 통하여 각 관정 별 수위의 지연시간과 조절시간을 산정한 결과 자기상관성은 JM안성 관정이 가장 컸다. 그라고 교차상관분석으로 전기전도도-수위, 강수량-수위, 기온-수온간의 상관성을 분석하고 비교하였다. 분석결과 전기전도도-수위는 JR서광2, 강수량-수위는 JD하모, 기온-수온은 JI원종장2가 상호연관성이 가장 높았다. 지하수 함양률과 함양량을 산정한 결과 함양률은 평균 39.61%, 함양량은 평균 1,153,490,407 $m^3/yr$ 으로 산정되어 기존의 연구결과와 유사하였다. We examined temporal variations in and relationships among groundwater level, groundwater temperature, and electric conductivity, and estimated groundwater recharge at Jeju Island. The time lag and regulation time of groundwater level data revealed that monitoring well in Ansung (JM-AS) has the highest auto-correlation. The cross-correlations for electric conductivity-water level, precipitation-water level, and air temperature-water temperature revealed that monitoring well in Seogwi-2 (JR-SG2) (electric conductivity-water level), monitoring well in Hamo (JD-HM) (precipitation-water level), and monitoring well in Wonjongjang-2 (JT-WJJ2) (air temperature-water temperature) had the highest cross-correlations. The average groundwater recharge ratio was 39.61%, and the average groundwater recharge amount was 1,153,490,407 $m^3/yr$ , which is consistent with the results of previous studies.

Key concepts: Groundwater recharge, Groundwater, Hydrology (agriculture), Environmental science, Precipitation, Water level, Air temperature, Geology

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