• 한국기계가공학회지
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• 제19권4호
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• pp.58-64
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• 2020

Large-scale flooding due to extreme weather and typhoons causes heavy damage. This is especially true in urban areas where accumulated debris prevents the smooth drainage of rainwater in sewage facilities such as rain gutters installed near roads. In this study, to improve the drainage performance and effectively remove foreign substances by applying the dust screen used in rivers, the rain gutter with Coanda effect was simulated and compared with the experiment. The simulation was performed by setting the parameters to the fillet radius R₁ and R₂ at the top of the screen filter, the fillet radius R₃ at the bottom of the screen filter, and the height H of the gap W from the bottom. W is the gap at the backside of screen filter which is applied to stimulate the Coanda effect. According to the simulation results, the highest drain performance was 87.99% derived from R₁= 30mm, R₂= 5mm, R₃= 85mm, H= 75mm, and W= 2mm. The error rate of simulation results refer to the 4.89%~7.36% compared to the experimental results. In the future, by considering the slope according to the installation environment, the simulation results can be applied to the actual roadside to help prevent flood damage.

• 한국도로학회논문집
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• 제19권5호
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• pp.21-31
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• 2017

PURPOSES : One of the main components of road projects funded by the Economic Development Cooperation Fund (EDCF) is the improvement or rehabilitation of existing pavements. The result is that pavement structures are critical to the success of a project. There is, however, no design standard available at present that reflects a region's specific features including climate conditions and quality of pavement materials. For this reason, a comparative study of the major EDCF borrowers' flexible pavement design standards was conducted. This study led to the proposal of a new method for applying flexible pavement designs which can be used for EDCF-funded projects in Asia. METHODS : The method has been produced by adjusting some input data of the "AASHTO Interim Guide for Design of Pavement Structures" in accordance with certain Asian countries' geometrical features, tropical and subtropical weather, and strength of pavement materials. The Philippine regional factors, having five different grades, have been selected after taking into consideration the amount of rainfall, strength of pavement materials, and characteristics of the Asia and Pacific regions. Structural layer coefficients have been prepared for two different regions according to the geometric difference between Southeast and Southwest Asia. The Philippine and Sri Lankan coefficients have been used for Southeast Asia and Southwest Asia, respectively. CONCLUSIONS : Owing to applying this new method, it was verified that the thickness of the pavement was underestimated by between 11 cm and 16 cm compared with the originally designed thickness. Having discovered that the use of the Korean and American-oriented factors and coefficients is not appropriate for other Asian countries, the new method is expected to enhance the quality of pavement in future projects.

• Journal of the Korean Data and Information Science Society
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• 제28권6호
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• pp.1415-1425
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• 2017

태풍은 강한 바람과 폭우를 동반하며 매년 한반도에 인명과 재산피해의 원인이 된다. 국내에서 발생한 자연재해 피해에서 태풍이 차지하는 비중이 높다. 태풍의 많은 피해는 폭우에 의해 발생하므로 태풍이 일 최대강수량에 미치는 영향을 정량적으로 살펴볼 필요가 있다. 일 최대강수량은 극치자료로 일반적으로 일반화극단치분포를 따른다. 연구자료로 1976년부터 2016년까지 한반도에 설치된 60개 종관기상관측장비에서 수집된 일강수량, 최대풍속, 평균풍속 자료가 사용되었다. 태풍이 온 기간을 제외한 일강우량 자료와 태풍이 온 기간을 포함한 일강우량 자료로 구분하여 일반화극단치모형에 적합시켰다. 모수추정방법으로 최우추정법과 L-적률추정법이 이용되었다. K-S검정과 $Cram{\acute{e}}r$ von Mises검정을 통해 모형의 적합도를 검정하였다. 추정된 모수를 기반으로 25년, 50년, 100년, 200년 재현수준을 계산하였다. 태풍기간 포함유무에 따른 재현수준을 비교한 결과 태풍은 강릉 인근의 동해안과 울산과 완도 인근의 남해안의 일 최대강수량에 영향을 미친다.

• 한국대기환경학회지
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• 제28권1호
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• pp.1-11
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• 2012

A case study was conducted for a severe wintertime dust event that occurred on December 29, 2007 in Korea. Three different dust emission schemes, namely, those of Marticorena and Bergametti (1995), Lu and Shao (1999), and Shao (2004) (hereinafter, referred to MB, LS, and S04 schemes, respectively) were implemented in Weather Research Forecast with Chemistry (WRF/Chem) to assess their performance in simulating wintertime Asian dust events. WRF/Chem simulation reproduces dust emission over Mongolia on December 27 and 28, 2007 and the onset timing of the dust event in Korea well. There is, however, a huge difference among the estimated dust emission amounts for the three schemes; the dust concentration derived by MB scheme is 6 times larger than that from LS scheme. The three schemes overestimate dust concentrations when comparing to observed surface-level $PM_{10}$ mass concentrations in Ganghwa, Seoul, and Yeongwol. This discrepancy is thought to be mainly due to the overestimated model winds and the surface condition such as snow cover fraction, which did not adequately represent the real conditions. Considering frozen soil effect on dust emission, the model results are comparable with observation data: it is important to consider frozen soil in simulating wintertime dust events.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2011년도 학술발표회
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• pp.277-281
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• 2011

본 연구에서는 국내의 다목적 댐 전체를 대상으로 강우-유출 모형에 의한 과거의 홍수량 산정방식과 최근의 홍수량 산정방식을 유역 면적 규모별로 분류하여 비교 분석하였다. 홍수량에 영향을 미치는 기본인자로 강우량, 강우의 시간분포, 유효우량 산정방법(손실분석), 강우-유출 모형, 매개 변수 추정 및 기저유량 등을 선정하여 각 인자별 민감도 분석을 수행함으로써 홍수량에 미치는 영향을 정량적으로 분석하였다. 분석결과 최근의 방법으로 산정한 홍수량과 과거의 방법으로 산정한 홍수량이 유역면적 규모에 따라 다양한 변동폭으로 증가하거나 감소하였는데, 강우의 시간분포 변경이 홍수량을 감소시키는 원인으로 분석되었고, 최근 기상이변에 의한 강우량의 증가와 단위도의 매개변수 추정방법의 변경이 홍수량을 증가시키는 가장 큰 원인으로 분석되었다.

• 사물인터넷융복합논문지
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• 제6권3호
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• pp.45-52
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• 2020

본 논문에서는 농작물 수확량에 영향을 미치는 다양한 농업 매개 변수를 측정하고, 환경 정보를 모니터링 하는 시스템을 제안한다. 국제 기구의 분석에 따르면 전 세계 인구의 60%가 농업으로 생활을 유지하고 있다. 또한, 전 세계토양의 11%가 작물 재배에 이용되고 있다. 이런 이유로 농업은 국가 발전에 중요한 역할을 담당하고 있다. 날씨 또는 환경 문제 등으로 인해 농업에 문제가 발생하면 국가 발전에 문제가 될 수 있다. 이러한 문제를 해결하기 위해서 IoT 기술을 활용하여 농업의 현대화를 하는 것이 중요하다. 농업에서 IoT 기술을 적용하여 스마트 환경을 구축하여 농업환경을 개선할 수 있다. 논문에서 제안하는 시스템을 검증하기 위해서 콩 재배농장에서 실험을 수행하였다. 실험결과 제안하는 시스템을 이용하여 콩 재배 토양의 수분을 자동으로 40%로 유지할 수 있음을 보였다.

• 한국항공우주학회지
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• 제43권6호
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• pp.526-532
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• 2015

국내개발 헬기인 수리온의 악기상 시 운용능력을 입증하고 결빙하 운용 제한 사항을 해제하기 위하여 결빙 감항인증이 요구되고 있다. 군용헬기인 수리온의 결빙 감항인증 절차는 유사 무기체계인 UH-60과 AH-64의 사례와 S/W 기술의 성숙도를 보았을 때, 전산해석${\rightarrow}$모의결빙형상 비행시험${\rightarrow}$인공 결빙 비행시험${\rightarrow}$자연 결빙 비행시험의 4가지 방법에 의한 단계화된 추진이 고려되고 있다. 수리온의 최적 비행시험 소티와 비행시간은 인공 결빙 비행시험 20~30소티 및 20~23시간과 자연 결빙 비행시험 20~30소티 및 20~22시간이 요구되며, 효율적인 결빙 감항인증 비행시험을 위해서는 LWC $0.5{\sim}1.0g/m^3$범위의 대기온도 조건은 인공 결빙 비행시험을 추진하고, LWC $0.5g/m^3$이하의 대기온도 조건에서는 자연 결빙 비행시험이 필요하다.

• 한국농공학회논문집
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• 제59권5호
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• pp.93-99
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• 2017

A model was developed using Artificial Neural Networks (ANNs) based on Principal Component Analysis (PCA), to accurately predict the air humidity inside an experimental greenhouse located in Daegu (latitude $35.53^{\circ}N$, longitude $128.36^{\circ}E$, and altitude 48 m), South Korea. The weather parameters, air temperature, relative humidity, solar radiation, and carbon dioxide inside and outside the greenhouse were monitored and measured by mounted sensors. Through the PCA of the data samples, three main components were used as the input data, and the measured inside humidity was used as the output data for the ALYUDA forecaster software of the ANN model. The Nash-Sutcliff Model Efficiency Coefficient (NSE) was used to analyze the difference between the experimental and the simulated results, in order to determine the predictive power of the ANN software. The results obtained revealed the variables that affect the inside air humidity through a sensitivity analysis graph. The measured humidity agreed well with the predicted humidity, which signifies that the model has a very high accuracy and can be used for predictions based on the computed $R^2$ and NSE values for the training and validation samples.

• 한국농공학회:학술대회논문집
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• 한국농공학회 2005년도 학술발표논문집
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• pp.241-246
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• 2005

Doam watershed is located at alpine areas in the Kangwon province. The annual average precipitation, including snow accumulation during the winter, at the Doam watershed is significantly higher than other areas. Thus, pollutant laden runoff and sediment discharge from the alpine agricultural fields are causing water quality degradation at the Doam watershed. To estimate soil erosion from the agricultural fields, the Universal Soil Loss Equation (USLE) has been widely used because of its simplicity to use. The USLE rainfall erosivity (R) factor is responsible for impacts of rainfall on soil erosion. Thus, use of constant R factor for the Doam watershed cannot reflect variations in precipitation patterns, consequently soil erosion estimation. In the early spring at the Doam watershed, the stream flow increases because of snow melt, which results in erosion of loosened soil experiencing freezing and thaw during the winter. However, the USLE model cannot consider the impacts on soil erosion of freezing and thaw of the soil. Also, it cannot simulate temporal changes in USLE input parameters. Thus, the Soil and Water Assessment Tool (SWAT) model was investigated for its applicability to estimate soil erosion at the Doam watershed, instead of the widely used USLE model. The SWAT hydrology and erosion/sediment components were validated after calibration of the hydrologic component. The $R^2$ and Nash-Sutcliffe coefficient values are higher enough, thus it was found the SWAT model can be efficiently used to simulate hydrology and sediment yield at the Doam watershed. The effects of snow melt on SWAT estimated stream flow and sediment were investigated using long-term precipitation and temperature data at the Doam watershed. It was found significant amount of flow and sediment in the spring are contributed by melting snow accumulated during the winter. Thus, it is recommend that the SWAT model capable of simulating snow melt and long-term weather data needs to be used in estimating soil erosion at alpine agricultural land instead of the USLE model for successful soil erosion management at the Doam watershed.

• 한국환경농학회지
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• 제31권2호
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• pp.113-121
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• 2012

BACKGROUND: The Doam watershed in Korea has been managed for the reduction and the prevention of non-point source pollution since 2007. Especially, the water quality of the Doam reservoir is a primary issue related to the Doam dam reoperation. We have carried out the modeling to evaluate the water quality based on suspended solids (SS) of the Doam watershed and the Doam reservoir. Two powerful hydrological and water quality models (HSPF and CE-QUAL-W2) were employed to simulate the combined processes of water quantity and quality both in the upland watershed of the Doam reservoir and the downstream waterbody. METHODS AND RESULTS: The HSPF model was calibrated and validated for streamflow and SS. The CE-QUAL-W2 was calibrated for water level, water temperature, and SS and was validated for the only water level owing to data lack. With the parameters obtained through the appropriate calibration, SS concentrations of inflow into and in the Doam reservoir were simulated for three years (2008, 2004 and 1998) of the minimum, the average, and the maximum of total annual precipitation during recent 30 years. The annual average SS concentrations of the inflow for 2008, 2004, and 1998 were 8.6, 10.9, and 18.4 mg/L, respectively and those in the Doam reservoir were 9.2, 13.8, and 21.5 mg/L. CONCLOUSION(s): The results showed that more intense and frequent precipitation would cause higher SS concentration and longer SS's retention in the reservoir. The HSPF and the CE-QUAL-W2 models could represent reasonably the SS from the Doam watershed and in the Doam reservoir.