• 한국터널지하공간학회 논문집
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• 제26권2호
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• pp.153-167
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• 2024

최근 도심지에 개발이 이루어지면서 지반침하가 증가하고 있으며, 그에 대한 원인 중 하나는 지하수위의 변화이다. 본 연구에서는 굴착깊이가 깊은 수직구 굴착공사의 한 예로 ｢◯◯◯◯ 복선전철 민간투자사업｣의 작업구를 대상으로 지하수위 저하량에 대한 현장계측 결과와 수치해석 결과를 비교 분석하였다. 이를 통하여 지하수위 저하에 대한 검토를 실시할 경우, 현장조건들이 충분히 반영될 수 있도록 지반조건을 분석하여 적용하여야 하며, 지하수위는 측정시기를 확인하여 적절한 수위를 적용하여야 시공 시 지하수위의 저하량과 유사한 예측 값을 도출해 낼 수 있음을 확인하였다.

• 한국지리정보학회지
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• 제9권3호
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• pp.107-122
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• 2006

본 연구는 국내 지하수 자료의 효율적 이용 관리를 위한 수량수질 정보의 통합관리 시스템인 "국가지하수정보지도" 구축을 위한 업무분석과 세부 설계를 실시하고 천안 및 대구지역에 시범 적용함으로써 그 효용성을 검토하고자 하였다. 본 시스템에는 지하수와 관련된 관측, 조사, 지구화학(이온분석 결과), 시설, 수질검사 및 도면 자료 등을 데이터베이스로 포함하고 있으며, 전국의 약 130만개 관정에 대한 상세정보를 기본 데이터로 활용한다. Web 환경의 GIS 시스템인 "국가지하수 정보지도"에서는 자료의 검색뿐 아니라 시계열분석, 공간분석, 지층단면작성 등의 분석 기능이 포함되어 있어 지방자치단체 공무원뿐 아니라 현장 기술자에게도 유용하게 활용될 수 있다. 앞으로 본 시스템을 지하수에 대한 표준 모델로 발전시키고 단계적으로 확장해 나감으로써 전국의 지하수 관리를 보다 체계적으로 수행 가능하게 될 것이다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2008년도 학술발표회 논문집
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• pp.1151-1154
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• 2008

The water level data sets among hydrologic observation data are correspond to the hydraulic head for each observation point and determine flow direction. The level difference among reservoir, river, and groundwater determines groundwater flow direction, just like water flows in the downstream direction because the water level of upstream point is higher than that of downstream point. We can analyze the relationship among the components in hydrologic cycle by comparing the water level differences. This research dealt with the data from Nakdong river watershed in Gyungsangnam-Do. Three data group are used for the analysis and onr group is composed of reservoir, river, and groundwater data sets. The data sets are closely(within 10 km) located in the interested area.

• 한국지하수토양환경학회:학술대회논문집
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• 한국지하수토양환경학회 2002년도 총회 및 춘계학술발표회
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• pp.351-356
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• 2002

Groundwater recharge rate was estimated by applying the groundwater level fluctuation method utilizing Theis (1937) approach with specific yield estimation technique of Shevenell (1996) and the temperature method using observed data from National Groundwater Observation Stations. Results based on analysis of water level observation data of 10 alluvium wells reveal that the recharge rates for 5 wells of Kum river area range 3.7~25.0% and those for 5 wells of Nakdong river area range 3.6~21.7%. Results obtained from the temperature method based on water temperature data indicated that the upward flow resulted from evapotranspiration is dominant for 4 wells of the Kum river area and 5 wells of the Nakdong river area. The other wells showed the downward flow which is related to groundwater recharge in these areas.

• 한국환경과학회지
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• 제22권5호
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• pp.515-522
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• 2013

To investigate groundwater variation characteristics in the Hancheon watershed, Jeju Island, an integrated hydrologic component analysis was carried out. For this purpose, SWAT-MODFLOW which is an integrated surface-groundwater model was applied to the watershed for continuous watershed hydrologic analysis as well as groundwater modeling. First, ephemeral stream characteristics of Hancheon watershed can be clearly simulated which is unlikely to be shown by a general watershed hydrologic model. Second, the temporally varied groundwater recharge can be properly obtained from SWAT and then spatially distributed groundwater recharge can be made by MODFLOW. Finally, the groundwater level variation was simulated with distributed groundwater pumping data. Since accurate recharge as well as abstraction can be reflected into the groundwater modeling, more realistic hydrologic component analysis and groundwater modeling could be possible.

• 한국지구과학회지
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• 제42권5호
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• pp.556-570
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• 2021

This study presents the data analysis results of groundwater chemistry and the occurrence of fluoride in groundwater obtained from the groundwater quality monitoring network of Korea. The groundwater data were collected from the National Groundwater Information Center and censored for erratic values and charge balance (±10%). From the geochemical graphs and various ionic ratios, it was observed that the Ca-HCO₃ type was predominant in Korean groundwater. In addition, water-rock interaction was identified as a key chemical process controlling groundwater chemistry, while precipitation and evaporation were found to be less important. According to a non-parametric trend test, at p=0.05, the concentration of fluoride in groundwater did not increase significantly and only 4.3% of the total groundwater exceeded the Korean drinking water standard of 1.5 mg/L. However, student t-tests revealed that the fluoride concentrations were closely associated with the lithologies of tuff, granite porphyry, and metamorphic rocks showing distinctively high levels. This study enhances our understanding of groundwater chemical composition and major controlling factors of fluoride occurrence and distribution in Korean groundwater.

• Environmental Engineering Research
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• 제22권4호
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• pp.369-376
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• 2017

The trend analysis of the study was acquired by selecting multiyear monthly groundwater table data and monitors the wells in each sub-district under the study area. The intention of this research was to analyze the outcome of the non-parametric Mann-Kendall test at greater than the significance level which is 95% of groundwater level in Sylhet. The aptitude is effective at two conjunctures where the confidence bounds are 95% and it meets the estimate line of Sen's. To calculate and assess the spatial differences in the inanition of groundwater table, geostatistical methods was applied based on data from 27 groundwater wells during the period from January 1975 to December 2011 which were obtained from a secondary source, Bangladesh Water Development Board. The geographic information system was used to assess the spatial change in order to find the level of groundwater. Cross-validation errors were found within an advisable level in estimating the groundwater depth with different interpolation models of ordinary kriging methods. Finally, surface maps were generated with the best-fitted model. The southeast region was found highly vulnerable from groundwater level point of view. Northern region was detected highest hazard prone area for diverge groundwater using kriging method.

• 한국지하수토양환경학회지:지하수토양환경
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• 제21권6호
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• pp.80-86
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• 2016

Earthquakes of M5.1, M5.8 and M4.5 occurred in September 12 and 19 respectively in Gyeongju, Gyeongbuk Province. Theses earthquakes inflated fears of people and highlighted necessity of detailed countermeasures because we have considered our country is safe to earthquakes. In the meanwhile, earthquake also impacts groundwater and thus it was recently reported that the Gyeongju Earthquakes affected groundwater there. This study evaluates daily groundwater data collected from five national groundwater monitoring stations (Geoncheon, Sannae, Oedong, Yangbuksin, Cheonbuk) in Gyeongju. The analysis revealed that only groundwater level of bedrock monitoring well hosted in andesite exhibited earthquake impact while no wells in the other four stations hosted in sedimentary rocks showed substantial responses to the earthquakes. This may be derived from the difference of seismic velocity of hosting rocks as well as epicenter distance. Special interest on groundwater monitoring is required to predict earthquakes as precursory phenomena.

• Spatial Information Research
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• 제7권1호
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• pp.103-117
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• 1999

도시지역에서 지하수 산출특성, 흐름 및 오염현상은 인위적인 양수, 지하구조물, 다양한 오염원 지면 포장으로 인한 지하수 함양의 국지적 변동 등의 영향을 받는 매우 복잡한 특성을 가진다. 서울지역 지하수시스템을 분석하기 위해 지리정보시스템 환경에서 수문지질학적 데이터베이스를 구축하였다. 지하수 수위변화의 주요인은 한강수계, 지하철 지형, 강우 등이고 이들을 이용하여 지하수시스템에 대한 영향을 분석하였다. 그리고 그 자료와 분석결과를 ARC/INFO에 데이터 베이스로 저장하고 실세계의 현상과 비구 분석하였다. 구축된 내용은 지하수 오염원의 분포, 대수층의 수리상수, 한강수위 변화에 대한 지하수 영향간 지하철 역사의 대규모 양수로 인한 지하수시스템의 변화 둥이다. 자료의 특성에 맞는 자료 형태로 저장하고 표현할 수 있도록 하였다.

• 반도체디스플레이기술학회지
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• 제22권3호
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• pp.84-89
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• 2023

In water resource management, data prediction is performed using artificial intelligence, and companies, governments, and institutions continue to attempt to efficiently manage resources through this. LSTM is a model specialized for processing time series data, which can identify data patterns that change over time and has been attempted to predict groundwater level data. However, groundwater level data can cause sen-sor errors, missing values, or outliers, and these problems can degrade the performance of the LSTM model, and there is a need to improve data quality by processing them in the pretreatment stage. Therefore, in pre-dicting groundwater data, we will compare the LSTM model with the MSE and the model after normaliza-tion through distribution, and discuss the important process of analysis and data preprocessing according to the comparison results and changes in the results.