• Title/Summary/Keyword: 국가 지하수관측소

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지하수위 변동 특성 분석을 위한 프로그램 개발 및 국가 지하수 관측망 자료에의 적용

  • 강인옥;구민호;원종호;백건하
    • Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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    • 2004.04a
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    • pp.92-96
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    • 2004
  • 본 연구에서는 지하수위 변동 분석을 위한 프로그램을 개발하고, 건설교통부에서 설치, 운영하고 있는 169개 국가 지하수 관측소의 264개 지하수관측정에서 측정된 지하수위자료에 적용하였다. 분석결과 암반대수층과 충적층대수층의 평균수위 및 변동양상이 대체적으로 비슷하게 나타났으며, 이는 관측소 설치 지역의 대부분에서 충적층(10m 내외)과 암반층(70m 내외)이 수리적으로 연결되어 있다는 것을 시사한다. 6시간 간격의 지하수위 관측 자료를 이용하여 지하수위가 상승하는 횟수, 상승량의 합계 산정 등 변동양상을 분석하였다. 분석 결과 해양 및 지구 조석의 영향을 받는 관측정의 경우 지하수위 상승 개수가 450개/yr 이상이 대부분이며, 수위 변동량은 0.1 ~ 1m 정도이고, 수위변동 자료를 시계열로 나타내 보면 하루에 약 2번의 상승과 하강을 반복하는 수위변동 형태를 볼 수 있었다. 양수의 영향이 우세한 관측정에서는 수위 상승 개수가 약 360개/yr, 수위 변동량은 1m 이상의 값이 우세하게 나타났다. 지하수위 상승량은 암반/충적 관측정 모든 관측정에서 전반적으로 강수량과의 상관계수가 높았으며, 같은 관측정의 .자료라도 6시간 간격의 관측 자료보다, 12시간 및 24시간 관측 간격으로 분석한 결과에서 상관관계가 더 높게 나타났다. 12시간 및 24시간 관측 간격으로 분석할 경우 조석 및 양수에 의해 발생된 주기적인 지하수위 변동 성분이 제거되면서 강수에 대한 지하수위 반응의 상관도가 높아진 것으로 해석된다.

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Observation of gravity changes associated with variations of ground water table (지하수 수위변동에 따른 중력 변화 양상)

  • Eom, Joo-Young;Seo, Ki-Weon;Koo, Min-Ho;Kwon, Byung-Doo
    • 한국지구물리탐사학회:학술대회논문집
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    • 2009.10a
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    • pp.119-123
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    • 2009
  • Gravity changes due to variations of groundwater level were measured at a ground water monitoring well, which is located at Kum-san, Korea, from November 2008 to September 2009 using Portable Earth Tide (PET) gravimeter. Groundwater level was monitored simultaneously with gravity observations. To extract gravity information from groundwater, we reduced gravity effect from atmospheric surface pressure, earth tides and its loading effect, polar motion and meter drift. In addition, in June 4, 2009, there was a pumping test at he observation well, and groundwater level and gravity variations were observed together successfully. Observation of gravity along with groundwater level is potentially useful for monitoring of aquifer water mass balance and water resources.

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Development of groundwater level monitoring and forecasting technique for drought analysis (I) - Groundwater drought monitoring using standardized groundwater level index (SGI) (가뭄 분석을 위한 지하수위 모니터링 및 예측기법 개발(I) - 표준지하수지수(SGI)를 이용한 지하수 가뭄 모니터링)

  • Lee, Jeongju;Kang, Shinuk;Jeong, Jihye;Chun, Gunil
    • Journal of Korea Water Resources Association
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    • v.51 no.11
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    • pp.1011-1020
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    • 2018
  • This study aims to develop a drought monitoring scheme based on groundwater which can be exploit for water supply under drought stress. In this context, groundwater level can be used as a proxy for better understanding the temporal evolution of drought state. First, kernel density estimator is presented in the monthly groundwater level over the entire national groundwater stations. The estimated cumulative distribution function is then utilized to map the monthly groundwater level into the standardized groundwater level index (SGI). The SGI for each station was eventually converted into the index for major cities through the Thiessen polygon approach. We provide a drought classification for a given SGI to better characterize the degree of drought condition. Ultimately, we conclude that the proposed monitoring framework enables a more reliable estimation of the drought stress, especially for a limited water supply area.

Parametric and Non-parametric Trend Analysis of Groundwater Data Obtained from National Groundwater Monitoring Stations (국가 지하수관측소 지하수위, 전기전도도 및 수온자료에 대한 모수적 및 비모수적 변동 경향성 분석)

  • Lee, Jin-Yong;Yi, Myeong-Jae;Lee, Jae-Myeong;Ahn, Kyoung-Hwan;Won, Jong-Ho;Moon, Sang-Ho;Cho, Min-Joe
    • Journal of Soil and Groundwater Environment
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    • v.11 no.2
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    • pp.56-67
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    • 2006
  • Trends of variation in groundwater levels, electrical conductivities and water temperatures obtained from the national groundwater monitoring stations (95 shallow and 169 deep wells) of Korea were evaluated. For the analysis, both parametric (linear regression) and non-parametric (Mann-Kendall test, Sen's test) methods were adopted. Results of linear regression analysis indicated that about 50% of the monitoring wells showed increasing trends of groundwater levels, electrical conductivities, and water temperatures and the others showed decreasing trends. However, the non-parametric analyses with monthly median values revealed that $14.8{\sim}20.0%$ of water levels were decreased, $24.2{\sim}36.9%$ of electrical conductivities were increased, and $27.4{\sim}32.5%$ of water temperatures were increased at a confidence level of 99%. Highly proportions of increasing or decreasing trends were unexpected and they resulted from the relatively short term of data collection (maximum 6 years). Meanwhile, the investigation of groundwater around the national groundwater monitoring stations showed that the decreasing or increasing trends of water levels, electrical conductivities, themselves, didn't indicate directly groundwater hazards such as groundwater depletion or groundwater contamination. Both the values and variation rates (slopes) of water level, electrical conductivity and temperature in the longer period are considered simultaneously. This study is the first comprehensive work in analyzing trends of groundwater data obtained from the national groundwater monitoring stations. Based on this study, the periodical and regular analysis of groundwater data is essentially required to grasp the overall variational trend of groundwater resources in the country.

Statistical Analysis of Aquifer Characteristics Using Pumping Test Data of National Groundwater Monitoring Wells for Korea (국가지하수 관측망의 양수시험 자료를 이용한 국내 대수층 특성의 통계적 분석)

  • Jeon Seon-Keum;Koo Min-HO;Kim Yongje;Kang In-Oak
    • Journal of Soil and Groundwater Environment
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    • v.10 no.6
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    • pp.32-44
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    • 2005
  • 314 pumping test data of the National Groundwater Monitoring Wells (NGMWs) are analyzed to present statistical properties of fractured-rock and alluvial aquifers of Korea such as distribution of hydraulic conductivity, empirical relations between transmissivity and specific capacity, and time-drawdown patterns of pumping and recovery test. The mean hydraulic conductivity of alluvial aquifers (1.26 m/day) is 17 times greater than that of fractured-rock aquifers (0.076 m/day). Hydraulic conductivity of fracture-rock aquifers ranges in value over 4 orders of magnitude which coincide with representative values of fractured crystalline rocks and shows distinctive differences among rock types with the lowest values for metamorphic rocks and the highest values for sedimentary rocks. In consideration of the estimated transmissivity with some simplifying assumptions, it Is likely that $32\%$ of groundwater flow for NGMWs would occur through fractured-rock aquifers and $68\%$ through alluvial aquifers. Based on 314 pairs of data, empirical relations between transmissivity and specific capacity are presented for both fractured-rock and alluvial aquifers. Depending on time-drawdown patterns during pumping and recovery test, NGMWs are classified into $4\~5$ types. Most of NCMWs $(83.7\%)$ exhibit the recharge boundary type, which call be attributed to sources of water supply such as streams adjacent to the pumping well, the vertical groundwater flux between fractured-rock and the alluvial aquifers, and the delayed yield associated with gravity drainage occurring in unconfined aquifers.

Classification and Characterization for Water Level Time Series of Shallow Wells at the National Groundwater Monitoring Stations (국가지하수관측소 충적관측정의 수위 변동 유형 분류 및 특성 비교)

  • Kim, Gyoo-Bum;Yum, Byoung-Woo
    • Journal of Soil and Groundwater Environment
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    • v.12 no.5
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    • pp.86-97
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    • 2007
  • The principal component analysis was performed to identify the general characteristics of groundwater level changes from 202 deep and 112 shallow wells monitoring data, respectively, which came from the National Groundwater Monitoring Stations operated by KWATER with time spans of 156 continuous weeks from 2003 to 2005. Eight principal components, which accounted for 80% of the variability of the original time series, were extracted for water levels of shallow and deep monitoring wells. As a result of cluster analysis using the loading value of three principal components for shallow wells, shallow monitoring wells were divided into 3 groups which were characterized with a response time to rainfall (Group 1: 4.6 days, Group 2: 24.1 days, Group 3: 1.4 days), average long-term trend of water level (Group 1: $2.05{\times}10^{-4}$ m/day, Group 2: $-7.85{\times}10^{-4}$ m/day, Group 3: $-3.51{\times}10^{-5}$ m/day) and water level difference (Group 1 < Group 2 < Group 3). Additionally, they showed significant differences according to a distance to the nearest stream from well (Group 3 < Group 2 < Group 1), topographic slope of well site (Group 3: plain region, Group 1: mountainous region) and groundwater recharge rate (Group 3 < Group 2 < Group 1) with a p-value of 0.05.

Statistical Characteristics of Groundwater Level Time Series at Groundwater Monitoring Wells in Korea (국내 지하수 관측소의 지하수위 시계열자료의 통계적 특성)

  • Hwang, Chan-Ik;Hwang, Tae-Wong;Kim, Gyoo-Bum
    • Proceedings of the Korea Water Resources Association Conference
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    • 2020.06a
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    • pp.287-287
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    • 2020
  • 2016년말 우리나라의 지하수 관측망은 국가지하수관측망, 지역지하수관측망, 수질전용측정망, 해수침투 관측망 등 다양한 목적하에 약 5,790개가 운영되고 있으며, 평균적으로 약 10년 정도의 관측 기간을 보유하고 있다. 이들 중에서 일 1회 이상 자동관측이 이루어지는 679개를 대상으로 지하수위 시계열자료의 특성을 분석하였다. ARIMA 분석 결과, AR(p) 모델은 전체의 56.8%인 386개, MA(q) 모델은 90.7%인 616개, Integration(d) 모델은 96.5%인 655개로 나타났다. AR(p) 모델중 가장 많은 경우를 보인 것은 AR(1), AR(2), AR(3) 등의 순이며, MA(q) 모델중 가장 많은 경우를 보인 것은 MA(2), MA(1), MA(3) 등의 순이며, Integration(d) 모델은 I(1), I(2)의 순으로 나타났다. AR(1) 모델이 가장 많은 것은 강우에 대한 지하수위의 교차상관의 lag time이 1 ~ 2일인 경우가 가장 많으므로 이전 시점의 지하수위에 의하여 현재 지하수위가 결정된다는 점을 의미한다. Integration이 많이 나타난 이유는 주기적 또는 지속적인 변동성이 지하수위에 나타나고 있음을 보여준다. 지하수위의 시계열 특성의 분류 및 그 원인을 평가하여 각 관측소별 지하수위 변동성을 정의함으로써 추후 지하수위 시계열자료의 분석 목적에 부합하는 자료 선별에 기여하고자 한다.

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Estimation of Specific Yield Using Rainfall and Groundwater Levels at Shallow Groundwater Monitoring Sites (충적층 지하수 관측지점의 강우량 대비 지하수위 변동 자료를 활용한 비산출율 추정)

  • Kim, Gyoobum
    • Journal of the Korean GEO-environmental Society
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    • v.11 no.6
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    • pp.57-67
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    • 2010
  • Specific yield is an essential parameter of the water table fluctuation method for recharge calculation. Specific yield is not easily estimated because of limited availability of aquifer test data and soil samples at National Groundwater Monitoring Stations in South Korea. The linear relationship between rainfall and water level rise was used to estimate the specific yields of aquifer for 34 shallow monitoring wells which were grouped into three clusters. In the case of Cluster-1 and Cluster-2, this method was not applicable because of low cross correlation between rainfall and water level rise and also a long lag time of water level rise to rainfall. However, the specific yields for 19 monitoring wells belonging to Cluster-3, which have relatively high cross correlation and short lag time, within 2 days after rainfall, range from 0.06 to 0.27 with mean value of 0.17. These values are within the general range for sand and gravel sediments and similar to those from aquifer test data. A detailed field survey is required to identify monitoring sites that are not greatly affected by pumping, stream flow, evapotranspiration, or delayed response of water levels to rainfall, because these factors may cause overestimation of specific yield estimates.

Fate and Transport of Cr(VI) Contaminated Groundwater from the Industrial Area in Daejeon (대전 산업단지 지하수의 6가 크롬 오염 및 확산 평가)

  • Chon, Chul-Min;Moon, Sang-Ho;Ahn, Joo-Sung;Kim, Yung-Sik;Won, Jong-Ho;Ahn, Kyoung-Hwan
    • Economic and Environmental Geology
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    • v.40 no.4
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    • pp.403-418
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    • 2007
  • The objective of this research was to characterize the fate and transport of Cr(VI) contaminated groundwater in the Daejeon industrial area. Five subsidiary monitoring wells were newly installed and two existing wells were utilized for the investigation and the reduction process of Cr(VI) contaminated groundwater of the Daejeon(Mun-pyeong) national groundwater monitoring station. The Cr(VI) concentrations at the shallow aquifer well of the station were in the range of 3.2-4.5 mg/L indicating continuous contamination. However, Cr was not detected at the deep bedrock well and the other monitoring wells except MPH-1 and 3. The Cr(VI) concentrations of MPH-1 and MPH-3 were below the drinking water guideline value (0.05 mg/L). Therefore, the plume of the Cr(VI) contaminated groundwater was predicted to be confined within the narrow boundary around the station. The soluble/exchangeable Cr(VI) concentrations were below the detection limit in all core and slime samples taken from the five newly installed wells. Although the exact source of contamination was not directly detected in the study area, the spatial Cr(VI) distribution in groundwater and characteristics of the core samples indicated that the source and the dispersion range were confined within the 100 m area from the monitoring station. The contamination might be induced from the unlined landfill of industrial wastes which was observed during the installation of an subsidiary monitoring well. For the evaluation of the natural attenuation of Cr(VI), available reduction capacities of Cr(VI) with an initial concentration of 5 mg/L were measured in soil and aquifer materials. Dark-gray clay layer samples have high capacities of Cr(VI) reduction ranging from 58 to 64%, which is obviously related to organic carbon contents of the samples. The analysis of reduction capacities implied that the soil and aquifer materials controlled the dispersion of Cr(VI) contamination in this area. However, some possibilities of dispersion by the preferential flow cannot be excluded due to the limited numbers of monitoring wells. We suggest the removal of Cr(VI) contaminated groundwater by periodical pumping, and the continuous groundwater quality monitoring for evaluation of the Cr(VI) dispersion should be followed in the study area.