• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.221-221
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• 2019

기후변화로 인한 가뭄대비가 상시체제가 된 요즈음, 농업용수의 안정적인 공급을 위하여 가뭄 등의 비상시 지표수는 물론이고 지하수의 공급 가능량에 대해서도 국가적 관리가 필요한 실정이다. 지하수관리를 위해 국가 최상위 계획인'지하수관리기본계획(2012~2021)'이 수립되었고, 지하수의 장기적인 수량, 수질 관리를 위해 국가지하수관측망, 지역지하수관측망(보조지하수관측망), 수질측정망, 해수침투관측망 등 광역과 지역단위로 크게 나누어 지하수관측이 이루어지고 있다. 국가지하수관측망은 지하수법에 의거하여 전국의 주요지점(2016년 말 기준 412개소)에 관측소를 설치하여 수위 및 수질의 변동실태를 광역적으로 분석함이 목적이며, 보조지하수관측망은 국가지하수관측망과 연계하고 보완하기 위한 기능으로서, 지역별 주요 관측지점의 수위, 수질자료를 획득하며, 2018년 9월 현재 3,429개소가 설치되어있다. 본 연구에서는 지역지하수 관측망 중 경남밀양지역에 설치된 관측정 31개소에 대해 수위와 수질을 장기 분석하였다. 밀양지역의 보조지하수관측망 설치는 지하수관리계획의 하부계획인'경상남도 지하수관리계획(2015~2025)'에 의거 2012년에 6개소의 관측공이 설치를 시작으로, 2013년 7개소, 2014년 10개소, 2015년 8개소를 설치하여 총 31개소의 설치를 완료하였고, 2016년부터 2019년 현재까지 전체 관측정 31개소에 대하여 관측 운영 중이다. 본 연구에서는 2013년 1월~2019년 1월까지 지역의 누적강수량과 지하수위 및 수질변화를 관측하였다. 전 관측정에 대해 수위(GL.m), 수질(온도, EC)은 1시간 주기로 관측하였으며, 연 2회 생활용수 기준(19항목)의 수질검사를 실시하고, 지하수성분의 지질학적 기원분석을 위한 양음이온 분석을 연 1회 실시하였다. 관측정의 양수능력 변화관측을 위해 대수성 시험을 연 1회 실시하였고, 관측정의 특성상 장기간 미사용 관정이므로 최적의 상태유지를 위해 연1회 공내세척을 실시하였다. 또한, 관측정의 지형별 차이를 분석하기 위해 관측정의 설치위치를 산악, 강변, 기타 지역으로 구분하고, 각각의 대표관정에 대해 지형에 의한 서로 다른 영향을 분석하였고, 관측정의 심도별 변화를 알기위해 동일지역에 충적, 안반 관측정을 따로 설치하고 관측하여 지표수와 지하수의 심도별 영향의 차이를 분석하였다. 동일지역의 관측결과 평균 5m이하의 수위변화를 보이나, 5m 이상의 수위변동을 보이는 관측망은 15년 14개소 17년 19개소로 증가추세를 보이며, 이는 주로 밀집된 시설하우스 단지의 수막재배를 위한 겨울철 지하수 사용량 증가가 원인인 것으로 판단된다. 밀양지역은 강변지역에 밀집된 시설하우스단지의 동절기 수막재배를 위한 지하수 과다사용으로 수위급감 및 수량부족현상이 반복되고 있어, 예방과 대책강구를 위해 지표수의 함양과 지하수사용량의 상관관계 분석과 자료축적 및 추가연구를 위한 장기관측이 요구된다.

• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.265-265
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• 2016

호우가 홍수에 미치는 영향의 분석은 수문현상을 이해하고 수공구조물을 설계하는데 반드시 필요한 절차이다. 호우가 홍수에 미치는 영향을 분석하기 위해서 독립된 소유역부터 비독립된 대유역까지 홍수량을 계산하고 그 상관성을 이해해야 하지만 상류쪽의 소유역의 경우 관측자료의 부재가 빈번하여 이러한 전반적인 분석이 쉽지 않다. 그리고 소유역과 대유역의 홍수특성을 연관지어 분석하기 위해서는 비교가능한 홍수특성을 추출해야 하며 이러한 일관된 잣대를 사용한 홍수분석은 중요하다. 본 연구에서는 소유역의 자료부재를 보완하기 위해 자료공간확장 방법을 제안하고 이를 통하여 안동댐 유역내 총 50개 지점의 홍수 시계열자료를 생성하였다. 자료공간확장 방법으로써, 안동댐유역의 1989년부터 2009년까지의 자료의 질이 좋은 20개의 사상을 추출하였고 안동댐유역 내에 위치한 안동댐, 도산, 소천의 수위관측지점의 관측유량자료에 대해 분포형 모형인 GRM 모형의 매개변수를 시행착오법으로 동시에 보정하여 한 개셋의 최적 매개변수를 추정하였다. 이때 모의결과를 평가하기 위하여 Nash-Sutcliffe (NS) 계수를 사용하였으며 20갯 사상의 세군데 관측수위지점에 대해서 모의결과가 전반적으로 0.5 NS 계수 이상으로써 만족할 만한 결과를 얻었다. 이 추정된 매개변수는 47개의 추가적인 관심지점의 유출모의에 사용되었으며 이렇게 모의된 유출시계열 자료는 관측시계열 자료로 가정하여 사용하였다. 이렇게 공간확장되어 생성된 시계열 자료는 이동평균방법을 사용하여 홍수강도-지속시간 곡선으로 변환되었고 50개 유역의 평균강우량 시계열 자료 또한 같은 밥법을 사용하여 강우강도-지속시간 곡선으로 변환되었다. 50개 유역의 비교가능한 일관된 홍수특성을 추출하기 위해 비유량법의 유출계수를 계산하였다. 유출계수를 계산하기 위해 유역별 도달시간을 계산하였으며 이 도달시간에 해당하는 강우강도를 추출하였다. 그리고 유역별 첨두 홍수강도를 유역별 도달시간에 해당하는 강우강도로 나눠줌으로써 유역별 유출계수를 계산하였고 이 유출계수를 유역면적에 대해 도시함으로써 그 경향을 조사하였다. 조사 결과 유역면적이 $100km^2$ 이상으로써 상류에서 하류방향으로 유역이 중첩되면서 증가하는 비독립적인 유역들의 경우 유역면적이 증가함에 따라 유출계수가 작아지거나 커지는 어떠한 경향을 보였다. 하지만 유역면적이 $100km^2$ 이하로써 독립적인 소유역의 경우 유역면적이 증가함에 따라 유출계수는 무작위로 분포되었다. 이것은 비독립적인 유역의 경우에는 호우가 홍수에 어떠한 일관된 영향을 미치나 각각 독립된 소유역의 경우에는 일관된 영향을 미치지 않음으로써 지역화방법에 의한 독립된 인근 미계측유역의 유출추정은 그 신뢰성이 높지 않다는 것을 의미한다.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2019.10a
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• pp.72-72
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• 2019

This study compared the growth characteristics of A. gigas according to the transplanting season, in the cultivation located in Yeongju, Gyeongsangbuk-do, transplanted in the autumn and spring. As a result of that the plant survival rate were observed the highest autumn transplanting (9.4%; autumn-92.2%, spring-82.8%) and bolting rate were observed lowest spring transplanting (7.1%; autumn-37.3%, spring-30.2%). Growth characteristics (height, leaf length and width, stem diameter) were observed the highest autumn transplanting in June and highest spring transplanting in August. The early growth is high growth due to long rooting time in autumn transplanting, but the difference in the ground growth between the two experiments was insignificant when the main growth period was from June to August. Further analysis of the growth characteristics and marker components of roots of A. gigas can be used to determine the optimal planting time and the establishment of high quality cultivation technology.

• Journal of Korean Tunnelling and Underground Space Association
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• v.24 no.6
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• pp.483-494
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• 2022

Owing to the saturation of ground spaces in downtown areas, underground spaces are being developed increasingly. Underground spaces are utilized for transportation, water supply and sewerage, communication zones, electric power zones, and various cultural complexes. In Korea, for excavating underground spaces, blasting methods using gunpowder such as the New Austrian Tunneling Method (NATM) are mainly used. However, the blasting method causes vibration and noise during tunnel excavation, generating many complaints from residents in the vicinity of the excavation site. To address this problem, various methods have been developed, and recently, vibration and noise have been reduced using deep excavation. This study predicts blast vibration changes according to the depth, under the same blasting and tunnel conditions, using numerical analysis based on the blast vibration measurement data of the GTX-A route, the tunnel cross-section drawings, and ground investigation reports. Furthermore, the necessary separation distance from densely populated areas such as residential areas is suggested by analyzing the trend of decreasing blast vibration according to the distance from ground surface directly above the blasting location.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.4
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• pp.220-227
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• 2021

PCT (Power Cable Tunnel) and UT (Utility Tunnel), which are non-transport underground infrastructures, are mostly RC (Reinforced Concrete) structures, and their durability decreases due to the deterioration caused by carbonation over time. In particular, since the rate of carbonation varies by use and region, a predictive model based on actual carbonation data is required for individual maintenance. In this study, a carbonation prediction model was developed for non-transport underground infrastructures, such as PCT and UT. A carbonation prediction model was developed using multiple regression analysis and deep neural network techniques based on the actual data obtained from a safety inspection. The structures, region, measurement location, construction method, measurement member, and concrete strength were selected as independent variables to determine the dependent variable carbonation rate coefficient in multiple regression analysis. The adjusted coefficient of determination (Ra2) of the multiple regression model was found to be 0.67. The coefficient of determination (R2) of the model for predicting the carbonation of non-transport underground infrastructures using a deep neural network was 0.82, which was superior to the comparative prediction model. These results are expected to help determine the optimal timing for repair on carbonation and preventive maintenance methodology for PCT and UT.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.11 no.6
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• pp.638-644
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• 2018

Relay systems have recently gained attentions because of its capability of cell coverage extension and the power gain as the one of key technologies for 5G. Relays can be exploited for small-cell base stations and the autonomous network, where communication devices communicate with each other cooperatively. Therefore, the relay technology is expected to enable the low power and large capacity communication. In order to maximize the benefits of using a limited number of relays, the efficient relay selection method is required. Especially, when two nodes exchange their data with each other via relay, the relay selection can maximize the average data rate by the spatial location of the relay. For this purpose, the average data rate is analyzed first according to the relay selection. In this paper, we analyzed the average data rate when two nodes exchange their data via dual-hop decode and forward relaying considering the interference by the concurrent transmission under Nakagami-m fading channel. The correctness of the analysis is verified by the Monte Carlo simulation. The results show that the concurrent transmission is superior to the non-concurrent transmission in the high required data rate region rather than in the low required data rate region.

• Journal of Food Hygiene and Safety
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• v.33 no.6
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• pp.460-465
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• 2018

Deep sea water is deeper than 200 m in depth and maintains cool temperatures. It is clean seawater not contaminated by E. coli and other general bacteria. Because deep sea water is a recyclable resource with high industrial value, activities for commercial use are vigorously developing. We investigated safety, quality characteristics, and mineral contents of prototype products using deep sea water as a substitute for a curing agent and compared it with existing commercially processed products. This study examined the potential of deep sea water as an alternative to curing agent solution. As a result, safety and quality characteristics of processed meat products with deep sea water were not different from commercially processed meat products, but mineral contents were higher in processed meat products with deep sea water. Deep sea water could be widely used as purity salt and purity minerals that can replace chemical substances such as chemical salts. A new, active food market using deep sea water will emerge in the near future.

• Journal of the Korean Society of Marine Environment & Safety
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• v.24 no.7
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• pp.945-952
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• 2018

Recently, bass fishing has become a marine leisure sport in Korea. There are 4 major fishing associations in Korea, and each association holds 10-15 tournaments each year. However, supply of 17 ft bass boats, which are preferred in leagues, depends 100 % on imports. In this study, we have derived the main specifications to develop the initial hull forms of a 18.5ft bass boat through statistical analysis based on mothership data. In addition, CFD numerical analysis was carried out according to deadrise angle and longitudinal center of gravity, which strongly influenced the resistance and planing performance. For numerical analysis, design speed was set to $Fn=3.284 (Re=9.858{\times}10^7)$, the deadrise angle was set from 12 to $20^{\circ}$, and the longitudinal center of gravity was set in the range of 0 to $8%L_{wL}$ from the center of buoyancy to the stern. Based on the numerical results, we first set the range of these factors by resistance performance and immersion keel length. Furthermore, using a correlation graph of Savitsky's Drag-Lift ratio, we derived the deadrise angle ($14-16^{\circ}$) and longitudinal center of gravity ($4-6%L_{wL}$).

• KSCE Journal of Civil and Environmental Engineering Research
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• v.38 no.6
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• pp.859-865
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• 2018

A construction of infrastructures and base station on the moon could be undertaken by linking with the regions where construction materials and energy could be supplied on site. It is necessary to detect craters on the lunar surface and gather their topological information in advance, which forms permanent shaded regions (PSR) in which rich ice deposits might be available. In this study, an effective method for automatic detection of lunar craters on the moon surface is taken into consideration by employing a latest version of deep-learning algorithm. A training of a deep-learning algorithm is performed by involving the still images of 90000 taken from the LRO orbiter on operation by NASA and the label data involving position and size of partly craters shown in each image. the Faster RCNN algorithm, which is a latest version of deep-learning algorithms, is applied for a deep-learning training. The trained deep-learning code was used for automatic detection of craters which had not been trained. As results, it is shown that a lot of erroneous information for crater's positions and sizes labelled by NASA has been automatically revised and many other craters not labelled has been detected. Therefore, it could be possible to automatically produce regional maps of crater density and topological information on the moon which could be changed through time and should be highly valuable in engineering consideration for lunar construction.

• Journal of agriculture & life science
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• v.52 no.6
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• pp.103-109
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• 2018

The performance of drip irrigation devices depends on flow uniformity related to the function of pressure compensation. The flow uniformity can be secured when the internal fluid pressures at the positions of the flow holes are maintained uniformly. The pressure compensation effect of the drip irrigation devices can be optimized with the combination of soft silicon and labyrinth structures. However, for a drip irrigation devices composed of only hard labyrinth structures, the flow rate is changed largely with the length and the internal geometry of the labyrinth structure. Although a drip irrigation devices with only hard labyrinth structures can be fabricated simply, the changes of flow rates with internal fluid pressures are much larger than those of the drip irrigation devices with soft silicon. Because the drip irrigation devices with only labyrinth structures can be utilized widely through the optimization of the fluid pressure, the length of the structures, and the cross-sectional area of them, the study on the optimization can play an important role for enhancing the performance of the drip irrigation devices. In this study, experimental and numerical studies for investigating the performance of the drip irrigation devices had been conducted. In the experiments and numerical calculations(CFD), the variable parameters were the lengths of the labyrinth structures(#1~#8) and the fluid pressures(0.5~3.0 bar).