• Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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• 2002.04a
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• pp.173-175
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• 2002

지하수함양은 크게 강우 중에 침투되는 자연함양, 하천 또는 저수지에서 침투되는 지표수 함양, 인위적으로 물을 지하로 침투시키는 인공함양 등이 있는데, 본 연구에서는 강우에 의해 지하로 침투되는 자연함양율을 구하기 위하여 다음 두 가지 방법을 이용하여 지하수함양율을 산출하고자 하였다. 첫 번째 누적강수량과 지하수수위곡선을 이용하는 방법(문상기, 우남칠, 2001)은 강우기간 중 누적강수량을 고려하여 지하수위변화로부터 지하수함양율을 추정하고, 두 번째 무강우기간 동안의 지하수위감수곡선을 이용하는 방법(최병수, 안중기, 1998)은 토양특성, 증발산을 배재한 상태에서 무강우기간의 지하수위감쇠곡선으로부터 함양량을 추정한다. 즉 같은 지역에서 선행강우기간 중 지하수침투가 시작되는 강우량과 어떤 시점에서의 강우기간 중 지하수침투가 시작되는 강우량의 차이가 토양함수조건에 따라 다를 수 있으나 평균개념으로 볼 때 그 차이가 무시될 수 있다고 가정하여 토양특성을 배재하고, 지하수수위가 지표에서 1.0~l.5m이상 되면 지하수로부터의 증발산은 무시될 수 있다고 가정하고 있다. 연구지역은 충청북도 청원군 북일면과 북이면에 위치하며, 지하수위 장기관측은 암반관정과 충적관정을 두 지점에 설치하여 총 4개의 관측정에서 지하수위자동측정기 Orphimedes (기포식수위계, OTT Hydrometrie사 제작)로 1시간 간격으로 지하수위변화를 기록하였다(그림1, 그림2). 강우량은 현장에서 자기우량계(모델명 : HGR-200, SEBA Hydrometrie사 제작)를 설치하여 직접 측정하였고, 자료가 유실된 기간은 청주기상대 자료로 보완하였다. 그러나 본 연구지역은 면적이 32.35$\textrm{km}^2$이고 1998년까지 개발된 기설관정의 개수가 무려 1,547여공으로 단위면적당 관정수는 48여공/$\textrm{km}^2$로 다른 지역에 비해 관정이 밀집되어 있어 지하수연간사용량을 무시할 수 없다. 그림2에서 보는 바와 같이 주변관정들의 양수로 인하여 관측정에서의 지하수위변화가 영향을 받는 것을 알 수 있다. 그러므로 본 연구지역을 대상으로 추정한 함양율은 지하수이용에 따른 지하수위하강에 대한 보정을 할 필요가 있으며 지하수이용실태조사를 추가로 하여 그 이용량만큼을 지하수함양량에 더하여야 할것이다.

• Water for future
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• v.42 no.5
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• pp.58-65
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• 2009

• Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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• 2003.05a
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• pp.39-55
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• 2003

• Water for future
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• v.50 no.7
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• pp.62-66
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• 2017

• Water for future
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• v.42 no.11
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• pp.19-24
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• 2009

• Water for future
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• v.55 no.4
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• pp.38-46
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• 2022

• Journal of the Korean School Mathematics Society
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• v.23 no.2
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• pp.223-237
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• 2020

Artificial intelligence technology, which represents the era of the 4th Industrial Revolution, is now deeply involved in our lives, and future education places great emphasis on building students' capabilities for the principles and uses of artificial intelligence. Therefore, the purpose of this study is to develop the contents of AI related education in mathematics, which the relationship is closely connected to each other. To this end, I propose establishing two novel AI-related contents in mathematics education. One subject is related to learning the principle of machine learning based on mathematics foundation. In addition, I draw the core math contents dealt in following subject called 'Basic Mathematics for AI and Data Science.'

• Journal of Soil and Groundwater Environment
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• v.10 no.5
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• pp.70-76
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• 2005

It is expected that use of groundwater wells for contaminated groundwater remediation, artificial groundwater recharge and geothermal heat pump systems is increasing in the future in Korea. Some practical confusions may be produced due to lack of regulations related to permits and registrations of these types of wells. This short note is intended to draw attention of relevant professionals by shortly introducing some relevant code of state regulations in Missouri, USA.

• Economic and Environmental Geology
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• v.47 no.6
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• pp.611-623
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• 2014

The alluvial aquifer, widely developed near the four major rivers such as Nakdong River, can be used effectively for groundwater artificial recharge and is expected to be the future water resources in Korea. This study is aimed at examining the impact of repeatedly injected river water into the riverside alluvial aquifer on injection rate or efficiency in its system at Changweon area. For this, injection tests were performed two times, first on June 19 and second on September 25 through October 9, 2013, and the mixing ratios of river water to groundwater were used as the tool to compare the efficiency of injection. The mixing ratios were evaluated by using electrical conductivities of injected river water (average $EC=303{\mu}S/cm$) and groundwater ($EC{\fallingdotseq}6,000{\mu}S/cm$) measured at 20 m depth of four observation wells installed 10 m apart from each injection well. The result shows the remarkable differences on two respects. First, in some observation well, detection time for incipient injection effect during $2^{nd}$ injection test was shown to be much slower than that of $1^{st}$ injection test. Second, the hourly increasing rate of mixing ratios in $2^{nd}$ test was revealed to be reduced much more than that of $1^{st}$ test. This means that the efficiency of injection was badly deteriorated by only 1,210 minute injection work. Therefore, injection water needs to be adequately treated beforehand and repeated pumping work and/or resting phase is needed afterwards. To a certain extent, the improvement of water quality in saline aquifer was verified in this system by injection tests.

• The Journal of Engineering Geology
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• v.31 no.4
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• pp.589-601
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• 2021

Artificial recharge technology is a method for solving problems such as groundwater level drop and ground subsidence caused by groundwater withdrawal. This study investigated the applicability of using the hydraulic conductivity of an aquifer to predict injection test results for aquifer restoration. Pumping and injection tests were performed under the same conditions as those for the artificial injection facility located in Icheon, Gyeonggi-do. The hydraulic conductivity of the aquifer, which plays a decisive role in restoring the groundwater level, was derived from the pumping test. A numerical model of a simplified on-site aquifer was constructed, and a transient analysis was applied with the same conditions as the pumping test. The correlation between the measured and the resulting model values is strong (R² = 0.78). The injection test was performed in a sedimentary layer composed of silt sand and clay sand. From the results of the injection test, an empirical formula was derived using Theim's formula, which is a common well analysis solution to determine the parameters of the aquifer from time-level data. The model values from the empirical formula have a high degree of correlation (R² = 0.99) with measured values. Under specific conditions, for areas where it is difficult to conduct an injection test, the formula from this study, which relies on the hydraulic conductivity of the aquifer determined through the pumping test, may be used to predict reliable injection rates for groundwater restoration.