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한국농공학회논문집 update

Journal of the Korean Society of Agricultural Engineers

  • : 한국농공학회
  • : 농학분야  >  농공학
  • : KCI등재
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  • : 연속간행물
  • : 격월
  • : 1738-3692
  • : 2093-7709
  • : 한국농공학회지(~2003) → 한국농공학회논문집(2004~)

수록정보
수록범위 : 46권1호(2004)~61권1호(2019) |수록논문 수 : 1,015
한국농공학회논문집
61권1호(2019년) 수록논문
최근 권호 논문
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KCI등재

1TIGGE/S2S 기반 중장기 토양수분 예측 및 검증

저자 : 신용희 ( Shin Yonghee ) , 정임국 ( Jung Imgook ) , 이현주 ( Lee Hyunju ) , 신용철 ( Shin Yongchul )

발행기관 : 한국농공학회 간행물 : 한국농공학회논문집 61권 1호 발행 연도 : 2019 페이지 : pp. 1-8 (8 pages)

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Developing reliable soil moisture prediction techniques at agricultural regions is a pivotal issue for sustaining stable crop productions. In this study, a physically-based SWAP(Soil-Water-Atmosphere-Plant) model was suggested to estimate soil moisture dynamics at the study sites. ROSETTA was also integrated to derive the soil hydraulic properties(α, n, θr, θs, Ks) as the input variables to SWAP based on the soil information(Sand, Silt and Clay-SSC, %). In order to predict the soil moisture dynamics in future, the mid-term TIGGIE(THORPEX Interactive Grand Global Ensemble) and long-term S2S(Subseasonal to Seasonal) weather forecasts were used, respectively. Our proposed approach was tested at the six study sites of RDA(Rural Development Administration). The estimated soil moisture values based on the SWAP model matched the measured data with the statistics of Root Mean Square Error(RMSE: 0.034∼0.069) and Temporal Correlation Coefficient(TCC: 0.735∼0.869) for validation. When we predicted the mid-/long-term soil moisture values using the TIGGE(0∼15 days)/S2S(16∼46 days) weather forecasts, the soil moisture estimates showed less variations during the TIGGE period while uncertainties were increased for the S2S period. Although uncertainties were relatively increased based on the increased leading time of S2S compared to those of TIGGE, these results supported the potential use of TIGGE/S2S forecasts in evaluating agricultural drought. Our proposed approach can be useful for efficient water resources management plans in hydrology, agriculture, etc.

KCI등재

2HSPF 모형을 이용한 옥동천 유역의 유달율 분석

저자 : 이현지 ( Lee Hyunji ) , 김계웅 ( Kim Kyeung ) , 송정헌 ( Song Jung-hun ) , 이도길 ( Lee Do Gil ) , 이한필 ( Rhee Han-pil ) , 강문성 ( Kang Moon Seong )

발행기관 : 한국농공학회 간행물 : 한국농공학회논문집 61권 1호 발행 연도 : 2019 페이지 : pp. 9-20 (12 pages)

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The primary objective of this study was to analyze the delivery ratio using Hydrological Simulation Program - Fortran (HSPF) in Okdong-cheon watershed. Model parameters related to hydrology and water quality were calibrated and validated by comparing model predictions with the 8-day interval filed data collected for ten years from the Korea Ministry of Environment. The results indicated that hydrology and water quality parameters appeared to be reasonably comparable to the field data. The pollutant delivery loads of the watershed in 2015 were simulated using the HSPF model. The delivery ratios of each subwatershed were also estimated by the simple ratio calculation of pollutant discharge load and pollutant delivery load. Coefficients of the regression equation between the delivery ratio and specific discharge were also computed using the delivery ratio. Based on the results, multiple regression analysis was performed using the discharge and the physical characteristics of the subwatershed such as the area. The equation of delivery ratio derived in this study is only for the Okdong-cheon watershed, so the larger studies are needed to apply the findings to other watersheds.

KCI등재

3갈수기 경향성 분석을 활용한 상류 유역의 가뭄위험 변동성 분석

저자 : 정일원 ( Il Won Jung ) , 김동영 ( Dong Yeong Kim ) , 박지연 ( Jiyeon Park )

발행기관 : 한국농공학회 간행물 : 한국농공학회논문집 61권 1호 발행 연도 : 2019 페이지 : pp. 21-29 (9 pages)

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This study analyzed the variability of drought risk based on trend analysis of dry-seasonal dam inflow located in upper river basins. To this, we used areal averaged precipitation and dam inflow of three upper river dams such as Soyang dam, Chungju dam, and Andong dam. We employed Mann-Kendall trend analysis and change point detection method to identify the significant trends and changing point in time series. Our results showed that significant decreasing trends (95% confidence interval) in dry-seasonal runoff rates (= dam inflow/precipitation) in three-dam basins. We investigated potential causes of decreasing runoff rates trends using changes in potential evapotranspiration (PET) and precipitation indices. However, there were no clear relation among changes in runoff rates, PET, and precipitation indices. Runoff rate reduction in the three dams may increase the risk of dam operational management and long-term water resource planning. Therefore, it will be necessary to perform a multilateral analysis to better understand decreasing runoff rates.

KCI등재

4수문기상가뭄지수 (HCDI) 개발 및 가뭄 예측 효율성 평가

저자 : 류재현 ( Ryu Jaehyun ) , 김정진 ( Kim Jungjin ) , 이경도 ( Lee Kyungdo )

발행기관 : 한국농공학회 간행물 : 한국농공학회논문집 61권 1호 발행 연도 : 2019 페이지 : pp. 31-44 (14 pages)

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The main objective of this research is to develop a hydroclimate drought index (HCDI) using the gridded climate data inputs in a Variable Infiltration Capacity (VIC) modeling platform. Typical drought indices, including, Standardized Precipitation Index (SPI), Standardized Precipitation Evapotranspiration Index (SPEI), and Self-calibrated Palmer Drought Severity Index (SC-PDSI) in South Korea are also used and compared. Inverse Distance Weighting (IDW) method is applied to create the gridded climate data from 56 ground weather stations using topographic information between weather stations and the respective grid cell (12 km x 12 km). R statistical software packages are used to visualize HCDI in Google Earth. Skill score (SS) are computed to evaluate the drought predictability based on water information derived from the observed reservoir storage and the ground weather stations. The study indicates that the proposed HCDI with the gridded climate data input is promising in the sense that it can help us to predict potential drought extents and to mitigate its impacts in a changing climate. The longer term drought prediction (e.g., 9 and 12 month) capability, in particular, shows higher SS so that it can be used for climate-driven future droughts.

KCI등재

5토지이용 및 기후 예측자료를 활용한 미래 기저유출 분석

저자 : 최유진 ( Choi Yujin ) , 김종건 ( Kim Jonggun ) , 이동준 ( Lee Dong Jun ) , 한정호 ( Han Jeongho ) , 이관재 ( Lee Gwanjae ) , 박민지 ( Park Minji ) , 김기성 ( Kim Kisung ) , 임경재 ( Lim Kyoung Jae )

발행기관 : 한국농공학회 간행물 : 한국농공학회논문집 61권 1호 발행 연도 : 2019 페이지 : pp. 45-59 (15 pages)

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Since the baseflow, which constitutes most of the river flow in the dry season, plays an important role in the solution of river runoff and drought, it is important to accurately evaluate the characteristics of the baseflow for river management. In this study, land use change was evaluated through time series data of land use, and then baseflow characteristics were analyzed by considering climate change and land use change using climate change scenarios. The results showed that the contribution of baseflow of scenarios considering both climate change and land use change was lower than that of scenarios considering only climate change for yearly and seasonal analysis. This implies that land use changes as well as climate changes affect base runoff. Thus, if we study the watershed in which the land use is occurring rapidly in the future, it is considered that the study should be carried out considering both land use change and climate change. The results of this study can be used as basic data for studying the baseflow characteristics in the Gapcheon watershed considering various land use changes and climate change in the future.

KCI등재

6SPI 및 SDI 기반의 Seasonal ARIMA 모형을 활용한 가뭄예측 - 충주댐, 보령댐 유역을 대상으로 -

저자 : 윤영선 ( Yoon Yeongsun ) , 이용관 ( Lee Yonggwan ) , 이지완 ( Lee Jiwan ) , 김성준 ( Kim Seongjoon )

발행기관 : 한국농공학회 간행물 : 한국농공학회논문집 61권 1호 발행 연도 : 2019 페이지 : pp. 61-74 (14 pages)

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In this study, the SPI (Standardized Precipitation Index) of meteorological drought and SDI (Streamflow Drought Index) of hydrological drought for 1, 3, 6, 9, and 12 months duration were estimated to analyse the characteristics of drought using rainfall and dam inflow data for Chungju dam (6,661.8 km2) with 31 years (1986-2016) and Boryeong dam (163.6 km2) watershed with 19 years (1998-2016) respectively. Using the estimated SPI and SDI, the drought forecasting was conducted using seasonal autoregressive integrated moving average (SARIMA) model for the 5 durations. For 2016 drought, the SARIMA had a good results for 3 and 6 months. For the 3 months SARIMA forecasting of SPI and SDI, the correlation coefficient of SPI3, SPI6, SPI12, SDI1, and SDI6 at Chungju Dam showed 0.960, 0.990, 0.999, 0.868, and 0.846, respectively. Also, for same duration forecasting of SPI and SDI at Boryeong Dam, the correlation coefficient of SPI3, SPI6, SDI3, SDI6, and SDI12 showed 0.999, 0.994, 0.999, 0.880, and 0.992, respectively. The SARIMA model showed the possibility to provide the future short-term SPI meteorological drought and the resulting SDI hydrological drought.

KCI등재

7풍동실험을 통한 배과원 방충망의 풍하중 및 항력계수 평가

저자 : 송호성 ( Song Hosung ) , 유석철 ( Yu Seok-cheol ) , 김유용 ( Kim Yu Yong ) , 임성윤 ( Lim Seong-yoon )

발행기관 : 한국농공학회 간행물 : 한국농공학회논문집 61권 1호 발행 연도 : 2019 페이지 : pp. 75-83 (9 pages)

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Fruit bagging is a traditional way to produce high-quality fruit and to prevent damage from insects and diseases. Growing pears by non-bagging is concerned about the damage from insect, it can be controlled by installing a insect net facility. Wind load should be considered to design the insect net facility because it has the risk of collapse due to the strong wind. So we carried out wind tunnel test for measurement of drag force, where the insect net with porosity about 65% is selected as an experimental subject. As a result of the test, drag force was measured to be 244.14 N when insect net area and wind speed are 1 ㎡ and 22.7 m/s respectively. And, drag coefficients for the insect net were found to be about 0.55∼0.57, which may be used as the preliminary data to design the insect net facilities at the orchard.

KCI등재

8굴 패각을 이용한 간척지 배수재의 전과정 CO2 배출량 산정 및 국내 적용성 평가

저자 : 전지훈 ( Jeon Jihun ) , 손영환 ( Son Younghwan ) , 김동근 ( Kim Donggeun ) , 김태진 ( Kim Taejin )

발행기관 : 한국농공학회 간행물 : 한국농공학회논문집 61권 1호 발행 연도 : 2019 페이지 : pp. 85-93 (9 pages)

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The objective of this study is to assess the environmental effect of the reclaimed land drainage method using oyster shell through the Life cycle CO2 assessment, and to evaluate the applicability in South Korea. In this Study, the life cycle CO2 emissions of oyster shell (OS) and crushed stone (CS, as avoided product) were assessed and compared. The Life Cycle Assessment method was used for quantitative evaluation of direct or indirect environmental effects of OS recycling. CO2 was selected as the evaluation target material, and the scope of assessment includes the acquisition of materials, processing, transportation, construction phases. Compared to using CS, 77.0% of CO2 emissions in acquisition and processing, 47.0% in transportation and 6.5% in construction phase were reduced, respectively by using of OS. The maximum transportation distance of OS was estimated according to transportation distance of CS. OS has environmental advantages than CS within about 26 - 101 km from the source. OS was found to be applicable to reclaimed lands up to 810 ha, 3,910 ha from Tongyeong and Yeosu, respectively. In addition, the amount of OS that could be used as drainage material for reclaimed land was much higher than annual OS production of South Korea. Therefore, it is considered that OS is sufficient to be used as drainage material for reclaimed land in South Korea.

KCI등재

9인공신경망모형을 이용한 기온기반 기준증발산량 산정

저자 : 이성학 ( Lee Sung-hack ) , 김마가 ( Kim Maga ) , 최진용 ( Choi Jin-yong ) , 방재홍 ( Bang Jehong )

발행기관 : 한국농공학회 간행물 : 한국농공학회논문집 61권 1호 발행 연도 : 2019 페이지 : pp. 95-105 (11 pages)

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Evapotranpiration (ET) is one of the important factor in Hydrological cycle and irrigation planning. In this study, temperature-based artificial neural network (ANN) model for daily reference crop ET estimation was developed and compared with reference crop evapotranpiration (ET0) from FAO-56 Penman-Monteith method (FAO-56 PM) and parameter regionalized Hargreaves method. The ANN model was trained and tested for 10 weather stations (5 inland stations and 5 costal stations) and two input climate factors, maximum temperature (Tmax), minimum temperature (Tmin), and extraterrestrial radiation (RA) were used for training and validation of temperature-based ANN model. Monthly reference ET by the ANN model also compared with parameter regionalized Hargreaves method for ANN model applicability evaluation. The ANN model evapotranspiration demonstrated more accordance to FAO-56 PM evapotranspiration than the ET0 from parameter regionalized Hargreaves method(R-Hargreaves). The results of this study proposed that daily reference crop ET estimated by the ANN model could be used in the condition of no sufficient climate data.

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10임계치 모형과 인공신경망 모형을 이용한 실시간 저수지 수위자료의 이상치 탐지

저자 : 김마가 ( Kim Maga ) , 최진용 ( Choi Jin-yong ) , 방재홍 ( Bang Jehong ) , 이재주 ( Lee Jaeju )

발행기관 : 한국농공학회 간행물 : 한국농공학회논문집 61권 1호 발행 연도 : 2019 페이지 : pp. 107-120 (14 pages)

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Reservoir water level data identify the current water storage of the reservoir, and they are utilized as primary data for management and research of agricultural water. For the reservoir storage management, Korea Rural Community Corporation (KRC) installed water level stations at around 1,600 agricultural reservoirs and has been collecting the water level data every 10 minutes. However, various kinds of outliers due to noise and erroneous problems are frequently appearing because of environmental and physical causes. Therefore, it is necessary to detect outlier and improve the quality of reservoir water level data to utilize the water level data in purpose. This study was conducted to detect and classify outlier and normal data using two different models including the threshold model and the artificial neural network (ANN) model. The results were compared to evaluate the performance of the models. The threshold model identifies the outlier by setting the upper/lower bound of water level data and variation data and by setting bandwidth of water level data as a threshold of regarding erroneous water level. The ANN model was trained with prepared training dataset as normal data (T) and outlier (F), and the ANN model operated for identifying the outlier. The models are evaluated with reference data which were collected reservoir water level data in daily by KRC. The outlier detection performance of the threshold model was better than the ANN model, but ANN model showed better detection performance for not classifying normal data as outlier.

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1연안해역에서 석유오염물질의 세균학적 분해에 관한 연구

(2006)홍길동 외 1명심리학41회 피인용

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서울대학교 Univ.of Illinois at Urbana-Champaign 농촌진흥청 강원대학교 부산대학교
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  • 1 서울대학교 (55건)
  • 2 Univ.of Illinois at Urbana-Champaign (18건)
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  • 4 강원대학교 (14건)
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