• The Journal of Engineering Geology
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• v.30 no.4
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• pp.603-615
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• 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 Soil and Groundwater Environment
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• v.25 no.1
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• pp.12-24
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• 2020

This study was conducted to examine an artificial recharge system, which was considered to be an alternative for securing additional groundwater resources in a high-density greenhouse region. An injection well with a depth of 14.0 m was placed in an alluvial plain of the zone. Eight monitoring wells were placed in a shape of dual circles around the injection well. Aquifer tests showed that the aquifer was comprised with high-permeable layer with hydraulic conductivities of 1.5×10^-3~2.4×10^-2 cm/sec and storage coefficients of 0.07~0.10. A step injection test resulted in a specific groundwater-level rising (Sr/Q) values of 0.013~0.018 day/㎡ with 64~92% injection efficiencies. Results of the constant-rate injection test with an optimal injection rate of 100 ㎥/day demonstrated an enormous storage capacity of the alluvial aquifer during ten experimental days. To design an optimal recharge system for an artificial recharge, the high-permeable layer should be isolated by dual packers and suitable pressure should be applied to the injection well in order to store water. An anisotropy ratio of the alluvial aquifer was evaluated to be approximately 1.25 : 1 with an anisotropy angle of 71 degrees, indicating intervals among injection wells are almost the same.

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

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.855-858
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• 2003

The trends of recent developed a pet robot which interacts with people are increased gradually. There are a few pet robots that are a robot dog, robot cat, and robot fish. The pet robot is featured that it is possible to sympathize and give pleasure to human. The pet robots express delight, sorrow, surprise, and hunger through the artificial intelligence. Previously, the pet robot has to exchange the battery when it is exhausted. Commercialized robots have a self-recharging function, which express hunger. Robot dog AIBO, SONY in Japan, checks the battery for expressing hunger. They find an energy station for recharge. While operation time of AIBO is 1 hour 30 minutes, recharging time is 2 hours. Recharging time is longer than operation time. During the recharge, they don't operate. We obtain a motivation for eating the battery when find the problem. In this paper, introduce an Autonomous Eating Pet Robot and propose a design for realization. The Autonomous Eating Pet Robot has a function that is the most basic instinct that is finding a food and evacuating.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.116-116
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• 2017

지하수 인공함양은 수자원확보 및 비상시 용수를 목적으로 세계적으로 연구 및 프로젝트가 진행되고 있다. 인공함양의 방법에는 여러 가지의 방식이 있지만 본 연구는 관정을 통해 주입하는 ASTR(Aquifer Storage Transfer and Recovery)방법을 이용하여 연구하였다. ASTR이란 지표수를 인공적인 방법으로 대수층에 주입시키고, 일정기간 저장시키거나 유하시킨 후 양수하는 방법이다. 염수로 포화된 피압대수층에 담수를 주입하여 염수를 치환할 수 있는 주입-양수 시스템을 연구하였다. 염수로 포화된 대수층에서 인공함양기술을 성공시키기 위해서는 양수정으로 유입되는 염수비율이 0%을 만족하며, 주입으로 인한 수위상승량은 지반변형을 일으키지 않는 최소한의 값을 가지는 것이다. 본 연구는 앞서 언급한 인공함양기술을 성공시키기 위해 지하수 흐름모델과 최적화 모델을 결합한 최적전산모델을 이용하여 모의하였다. 지하수 흐름모델은 경계면모델을, 최적화 기법은 GA(Genetic Algorithm)을 이용하였다. 구축된 목적함수로는 양수정의 담수비율 최대화, 주입정에서의 수위상승량 최소화 그리고 양수개시시간 최소화로 구성하였다. 제약조건으로는 총 주입량 및 양수량 그리고 주입 및 양수정 개수이다. 서술한 목적함수와 제약조건을 만족하는 주입/양수정의 위치 및 유량을 최적전산모델로부터 얻을 수 있다. 기존 지하수 인공함양 및 개발은 사례별 연구 또는 전문가의 주관적 판단에 의존하는 경향이 있었다. 본 연구는 최적화 기법을 통해 복수의 관정에서 정량적인 산정이 가능하다. 현재 모델링에 의존한 연구로써 한계가 있지만, 추후 실제현장에 적용하여 모델 검정을 통해 신뢰도를 높이며 지하수 인공함양 개발에 많은 공헌을 할 수 있을 것으로 예상한다.