• Proceedings of the Korea Water Resources Association Conference
• /
• 2015.05a
• /
• pp.250-250
• /
• 2015

ASR(Aquifer Storage Recharge) 또는 ASTR(Aquifer Storage Transfer Recharge)과 같은 직접적인 지하수 인공함양기법은 대수층을 활용하여 수자원을 공급하고 관리하기 위한 적극적인 방안으로 고려될 수 있다. 그러나 하천 수와 같은 지표수를 주입할 경우 부유물질 그리고 생물학적 및 화학적 물질 등에 의해 주입정 내 스크린 부분에서 폐색이 발생할 수 있으며, 이로 인해 인공함양 시설의 운영에 있어 부정적인 영향을 미칠 수 있다. 주입정 내 폐색을 저감시키기 위해서는 주기적인 주입정 역세척과 같은 방법이 적용될 수 있다. 본 연구에서는 물리적인 폐색을 발생시키는 부유물질이 포함되어 있는 지표수를 주입할 경우 주입정 내에서의 부유물질의 거동을 수치적 기법을 통해 모의 및 분석을 수행하였다. 본 모의에서는 부유물질을 구성하는 입자들은 세 가지 서로 다른 비중(0.8, 1.3, 1.5)을 가지며, 각각의 경우에 대해 입자분포는 정규분포를 통해 발생시켰다. 비중이 서로 다른 부유입자들은 동시에 주입정 내로 주입된다고 가정하였다. 모의는 비정상상태 조건으로 수행되었으며, 시간에 따라 변화되는 주입정 내 부유물질의 거동에 대해 분석하였다.

• The Journal of Engineering Geology
• /
• v.14 no.4 s.41
• /
• pp.391-400
• /
• 2004

Excess pumping on the river bank filtration well causes the over drawdown in the protected area of bank, which may make many problems such as soil water contents, Pumping head in the irrigated land, and it needs more irrigation and development of the deeper irrigating well. In this study the installation of the artificial recharging well was suggested to reduce the excess draw down in the protected land. Artificial recharging wells were applied at the bank filtration site of Changwon city by using Visual-MODFLDW. The optimized conditions are calculated that the recharging well is located about loom apart from the pumping well, and the recharging rate is $5\%$ of the pumping yield.

• Proceedings of the Korean Society of Soil and Groundwater Environment Conference
• /
• 2002.09a
• /
• pp.343-346
• /
• 2002

인공함양 특성평가를 위한 동위원소기술을 적용하기 위한 연구지역으로 영남내륙권의 고령군과 달성군의 경계에 위치한 낙동강변의 강변여과수 개발지역을 선정하였으며, 동위원소기술적용을 위하여 연구지역내에 위치한 강변여과수 개발을 위한 양수정과 주변공들 및 지표수들에 대한 시료채취를 수행하였다. 관측공 중 한 공에 대하여는 다중패커시스템 (Multi-packer system)을 활용하여 심도별 변화를 살펴보았다. 연구지역내 물시료들에 대한 현재까지의 산소와 수소 동위원소 및 삼중수소 함량 분석결과는 다중패커설치공 및 일반 관측공과 지표수들간에 서로 중첩되어 구분이 어렵다. 스트론튬 동위원소비는 양수정 및 그 인접공의 시료들과 강변에서 인접한 공의 시료들간에 차이는 있으나 명확하지는 않다. 질소동위원소 분석결과를 살펴보면 전반적으로 화학비료로나 토양내의 유기물로부터 유래한 것으로 해석할 수 있다. 이처럼 현재까지의 기초분석 결과는 자연수 시료들에 적용된 다양한 동위원소값들이 서로 유사한 값들을 보여서 동위원소 특성을 지하수 유동특성이나 함양특성을 해석하기 위한 추적자로 이용하는데 어려움이 있을 것으로 판단된다. 따라서 특정한 시기의 강우사건에 대해 강수, 낙동강물, 양수정 및 일련의 주변공과 다중패커시스템이 설치된 공의 심도별 구간 등에 대해 현재보다 보다 집중적이고 체계적인 시료채취가 시도되어지거나 방사성동위원소를 이용한 추적자 시험이 병행되어야 할 것으로 사료된다.

• Geophysics and Geophysical Exploration
• /
• v.16 no.3
• /
• pp.154-162
• /
• 2013

Vertical electrical sounding and 2D electrical resistivity survey were applied for evaluating the characteristics of alluvial layers at a groundwater artificial recharge site. The fine particles in alluvial layer, main target layer of groundwater artificial recharge, may cause clogging phenomena. In this case, electrical resistivity method is an effective technique to verify the spatial distribution of low-resistivity layers, such as saturated silts and clays. On the other hand, much attention should be paid to interpret the resistivity data in unconsolidated layers, because thick clayey overburden sometimes produces a masking effect on underlying interbedded resistive sands and gravels. Considering these points, we designed 35 points arranged in a grid form for vertical electrical sounding and 10 lines for 2D electrical resistivity survey, and concentrated our effort on enhancing the vertical and horizontal resolution of resistivity images. According to the results, 15 meters thick layers consisting of sands and gravels are located in 30 meters below ground. And the spatial distribution of silts and clays are mapped, which may cause clogging. Consequently, this approach can contribute to design and determine the location and depth of injection and observation wells for groundwater artificial recharge.

• The Journal of Engineering Geology
• /
• v.30 no.4
• /
• pp.603-615
• /
• 2020

The design factors of artificial recharge are determined by considering the hydrogeological characteristics of the aquifer. The optimal design factors for artificial recharge were derived after performing the injection tests step by step for each injection type (vertical well, ditch and mixed type), which were built in the test site of the study area. It was analyzed that the difference in the injection effect according to the diameter of the injection well was not large, and the 100 mm well was evaluated as appropriate in consideration of the availability and economy of land use. Since the injection effect was well maintained even in the upper rock, the depth of the injection well was proposed for the alluvial layer and the upper rock layer. On the other hand, in four cases of filter media in the ditch, it was analyzed that the penetration efficiency and the hydraulic interference effect indicated excellent injection performance when a filter medium of 10 to 30 mm diameter was filled in the ditch. In addition, the proper spacing of the injection wells was analyzed as 9~12 m considering the interference efficiency. The interference efficiency attenuation coefficient per 1 m of hole spacing was calculated to be 1.75% in this area. In the future study, the artificial recharge design factors obtained in this stage are applied and verified on site construction and operation. Also it is expected to contribute to securing water in areas where there is always a lack of water.

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

• The Journal of Engineering Geology
• /
• v.30 no.3
• /
• pp.269-278
• /
• 2020

In this study, the effects of groundwater artificial recharge through vertical wells in the upper small basin are preliminarily evaluated by using field injection test and a 3-D numerical model. The injection rate per well in a model is set to 20, 37.5, 60, and 75 ㎥/day based on the results of field injection test, groundwater levels, and hydraulic conductivities estimated from particle size analysis, and a numerical model using MODFLOW is conducted for 28 cases, which have diverse injection intervals, in order to estimated the changes of groundwater level and water balance after injection. Groundwater level after injection does not show a linear relationship with the injection rate per well, and the cumulative effect of artificial recharge decreases and the timing of maximum water level rise is shortened as the injection interval becomes longer. In four cases of continuous injection with total injection rate of 1,200 ㎥, it is revealed that the recharge effect is analyzed as 36.5~65.3% of the original injection rate. However, it will be more effective if the artificial recharge system combined with underground barrier is introduced for the longer pumping during a long and severe drought. Additionally, it will be possible to build a stable artificial recharge system by an establishment of efficient scenario from recharge to pumping as well as an optimization of recharge facilities.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.33 no.5
• /
• pp.427-436
• /
• 2015

This study aims to select an optimal site for the development of small-scaled artificial ground water recharge system with the purpose of 50ton/day pumping in dry season. First of all, the topography shape satisfying the numerous factors of a hydraulic model experiment is defined and an appropriate pumping efficiency is calculated through the model experiment of injection and pumping scenario. In next step, GIS(Geographic Information System) database are constructed by processing several geospatial data to explore the optimal site. In detail, watershed images are generated from DEM(Digital Elevation Model) with 5m cell size, which is set for the minimum area of the optimal site selection. Slope maps are made from DEM to determine the optimal hydraulic gradient to procure the proper aquifer undercurrent period. Finally, the suitable site for artificial recharge system is selected using an integration of overall data, such as an alluvial map, DEM, orthoimages, slope map, and watershed images.

• Proceedings of the Korean Society of Soil and Groundwater Environment Conference
• /
• 2004.04a
• /
• pp.438-442
• /
• 2004

국가적인 수자원 다변화 정책의 일환으로 충적층을 활용한 강변여과, 지하수댐, 직접 함양 등의 다양한 충적층 지하수 인공함양 활용 가능성이 점차적으로 증대되고 있지만, 국내에서는 이를 구체적으로 활용하기 위하여 필요한 충적층 지하수의 개발 및 관리를 위한 충적층 수문지질도를 찾아보기 힘든 실정이다. 따라서, 본 발표에서는 부여 군수리 지역을 시범 대상 지역으로 선정하여 수자원 개발을 위한 충적층 활용 가능성을 평가하기 위해 기본적으로 필요한 지형적, 지질학적, 수리적 및 환경적 요소들을 포함하는 시범 충적층 수문지질도를 작성하였다. 본 충적층 수문지질도에는 지하수위 및 수질 변화, 지표 토양조건 및 지하 대수층 분포 등를 추정할 수 있는 다양한 자료들을 포함하고 있으며, 대부분의 이들 자료는 직접 현장 조사를 통해 획득되었다. 이러한 시범 충적층 수문지질도의 작성은 향후 충적층 지하수의 개발 및 관리시에 기본 자료로 활용될 것이다. 그러나, 앞으로 보다 정밀하고 효용성 있는 충적층 수문지질도 작성을 위해서는 이번 시범 작성을 참조하여 보다 많은 개선과 표준화가 요구된다.

• The Mathematical Education
• /
• v.63 no.2
• /
• pp.255-272
• /
• 2024

This study aims to design mathematics-integrated classes that cultivate artificial intelligence (AI) thinking and to analyze students' AI thinking within these classes. To do this, four classes were designed through the integration of the AI4K12 Initiative's AI Big Ideas with the 2015 revised elementary mathematics curriculum. Implementation of three classes took place with 5th and 6th grade elementary school students. Leveraging the computational thinking taxonomy and the AI thinking components, a comprehensive framework for analyzing of AI thinking was established. Using this framework, analysis of students' AI thinking during these classes was conducted based on classroom discourse and supplementary worksheets. The results of the analysis were peer-reviewed by two researchers. The research findings affirm the potential of mathematics-integrated classes in nurturing students' AI thinking and underscore the viability of AI education for elementary school students. The classes, based on AI Big Ideas, facilitated elementary students' understanding of AI concepts and principles, enhanced their grasp of mathematical content elements, and reinforced mathematical process aspects. Furthermore, through activities that maintain structural consistency with previous problem-solving methods while applying them to new problems, the potential for the transfer of AI thinking was evidenced.