• 한국농공학회논문집
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• 제59권4호
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• pp.27-42
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• 2017

The global rise in atmospheric $CO_2$ concentration and its associated climate change have significant effects on agricultural productivity and hydrological cycle. For food security and agricultural water resources planning, it is critical to investigate the impact of climate change on changes in agricultural productivity and water consumption. APEX-Paddy model, which is the modified version of APEX (Agricultural Policy/Environmental eXtender) model for paddy ecosystem, was used to evaluate rice productivity and evapotranspiration based on climate change scenario. Two study areas (Gimjae, Icheon) were selected and the input dataset was obtained from the literature. RCP (Representitive Concentration Pathways) based climate change scenarios were provided by KMA (Korean Meteorological Administration). Rice yield data from 1997 to 2015 were used to validate APEX-Paddy model. The effects of climate change were evaluated at a 30-year interval, such as the 1990s (historical, 1976~2005), the 2025s (2011~2040), the 2055s (2041~2070), and the 2085s (2071~2100). Climate change scenarios showed that the overall evapotranspiration in the 2085s reduced from 10.5 % to 16.3 %. The evaporations were reduced from 15.6 % to 21.7 % due to shortend growth period, the transpirations were reduced from 0.0% to 24.2 % due to increased $CO_2$ concentration and shortend growth period. In case of rice yield, in the 2085s were reduced from 6.0% to 25.0 % compared with the ones in the 1990s. The findings of this study would play a significant role as the basics for evaluating the vulnerability of paddy rice productivity and water management plan against climate change.

• 한국토양비료학회지
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• 제47권3호
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• pp.187-190
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• 2014

The agricultural policy/Environmental eXtender (APEX) model was developed by the Blackland Research and Extension Center in Temple, Texas. APEX is a flexible and dynamic tool that is capable of simulating a wide array of management practices, cropping systems, and other land uses across a broad range of agricultural landscapes, including whole farms and small watersheds. The model can be configured for novel land management strategies, such as filter strip impacts on pollutant losses from upslope crop fields, vegetated grassed waterways in combination with filter strip impacts, and land application of manure removed from livestock feedlots or waste storage ponds. The APEX model has continually evolved since its inception, and the process of adaptation and modification will likely continue as use of the model expands for an ever-increasing range of environmental problems and conditions. Several improvements to specific model subroutines have already been initiated, while other potential improvements have been identified that will require future research and code modification efforts.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2020년도 학술발표회
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• pp.315-315
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• 2020

기후변화로 인하여 전 세계적으로 이상기후가 진행되고 있다. 우리나라의 경우 홍수와 가뭄 등의 이상 강수가 빈번히 발생하고 있으며, 이로 인한 비점오염물질의 유출과 집적이 발생하고 있다. SWAT (Soil and Water Assessment Tool)과 HSPF (Hydrological Simulation Program)등의 다양한 모델이 비점오염의 유출을 모의하기 위하여 활용되고 있으나, 농장 단위에서 유역 단위까지 다양한 대상지역에 대한 장기 모의와 BMP적용에 따른 효율평가가 어려운 실정이다. Texas A&M Agrilife Research에서 개발한 APEX(Agricultural Policy Environmental eXtender model) 모형의 경우, 농장 단위에서 유역 단위의 대상지역에 대하여 최대 100년까지 일단위 모의가 가능한 특징이 있다. 하지만 APEX 모형은 개발된지 상당한 시간이 지났으며, 데스크탑 기반의 모형이므로 다양한 플랫폼에서의 활용이 어려운 한계점이 있다. 따라서 본 연구에서는 1. 기존 데스크탑 기반의 APEX 모형을 웹에서 구동할 수 있도록 웹 기반 시스템을 구축하였으며, 2. 양분유출에 대한 모의 평가가 가능하도록 결과를 시스템화하는 모듈을 추가하였다. 또한, 3. 웹 기반 APEX 모형의 활용도를 위하여 최적관리기법을 적용할 수 있는 모듈을 개발 및 추가하였다. 본 연구의 결과는 향후 농업비점오염원 지역의 양분유출을 확인·예측하고 관리하기 위한 기초자료로 활용될 것으로 기대하며, 최적관리기법을 활용한 저감 정책을 수립하기 위한 평가도구로 활용될 수 있을 것이다. 또한, 기존 데스크탑 기반의 모형을 웹 기반으로 이전하였으므로, APEX 모형 혹은 다른 데스크탑 기반 모형들의 웹 이전을 통한 사용자 편의성 증대를 위한 기초자료로 활용될 수 있을 것이다. 아울러 본 연구의 결과는 APEX 모형의 작물 매개변수가 국내 환경에 최적화 되어있지 않으므로 정확한 BMP 저감효과 모의에는 한계가 있으므로, 이에 대한 추가적인 연구가 필요할 것으로 판단된다.

• 농촌계획
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• 제24권4호
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• pp.99-119
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• 2018

Unit load factor, which is used for the quantification of non-point pollution in watersheds, has the limitation that it does not reflect spatial characteristics of soil, topography and temporal change due to the interannual or seasonal variability of precipitation. Therefore, we developed the method to estimate a watershed-scale non-point pollutant load using seasonal forecast data that forecast changes of precipitation up to 6 months from present time for watershed-scale water quality management. To establish a preemptive countermeasure against non-point pollution sources, it is possible to consider the unstructured management plan which is possible over several months timescale. Notably, it is possible to apply various management methods such as control of sowing and irrigation timing, control of irrigation through water management, and control of fertilizer through fertilization management. In this study, APEX-Paddy model, which can consider the farming method in field scale, was applied to evaluate the applicability of seasonal forecast data. It was confirmed that the rainfall amount during the growing season is an essential factor in the non-point pollution pollutant load. The APEX-Paddy model for quantifying non-point pollution according to various farming methods in paddy fields simulated similarly the annual variation tendency of TN and TP pollutant loads in rice paddies but showed a tendency to underestimate load quantitatively.

• 한국환경농학회지
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• 제38권3호
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• pp.159-165
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• 2019

BACKGROUND: The water footprint (WF) is an indicator of freshwater use that appears not only at direct water use of a consumer or producer, but also at the indirect water use. As an indicator of 'water use', the water footprint includes the green, blue, and grey WF, and differs from the classical measure of 'water withdrawal' because of green and grey WF. This study was conducted to assess and estimate the water footprint of the soybean and Chinese cabbage. METHODS AND RESULTS: APEX model with weather data, soil and water quality data from NAS (National Institute of Agricultural Sciences), and farming data from RDA (Rural Development Administration) was operated for analyzing the WF of the crops. As the result of comparing the yield estimated from APEX with the yield extracted from statistic data of each county, the coefficients of determination were 0.83 for soybean and 0.97 for Chinese cabbage and p-value was statistically significant. The WFs of the soybean and Chinese cabbage at production procedure were 1,985 L/Kg and 58 L/Kg, respectively. This difference may have originated from the cultivation duration. The WF ratios of soybean were 91.1% for green WF and 8.9% for grey WF, but the WF ratios of Chinese cabbage were 41.5% for green WF and 58.5% for grey WF. CONCLUSION: These results mean that the efficiency of water use for soybean is better than that for Chinese cabbage. The results could also be useful as an information to assess environmental impact of water use and agricultural farming on soybean and Chinese cabbage.

• 한국농공학회논문집
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• 제60권5호
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• pp.55-67
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• 2018

The objectives of this study were to monitor organic farming upland compared with conventional upland field and to evaluate nutrient loads reduction of surface cover effect with long-term historical climate data. APEX(Agricultural Policy Environmental eXtender) model was validated with experimental data and used for assessing surface cover scenarios for 30-year simulation periods. The validated values of RMSE(Root Mean Square Error), RMAE(Root Mean Absolute Error), $R^2$ and E(Nash-Sutcliffe efficiency) for runoff were 1.17-1.37 mm/day, 0.28-0.45 mm/day, 0.88-0.90 and 0.82-0.94 in two treatments, respectively. Those for water quality (nitrogen) were 0.05-0.16 kg/ha, 0.52-0.75 kg/ha, 0.67-0.72 and 0.32-0.70 in two treatments, respectively, and therefore the validated model showed good agreement with the observed runoff and nitrogen load for the study period. When decreasing the surface cover rate of organic farming field to 75%, 50%, 25%, and 0% (conventional field), average annual runoff increased by 7%, 15%, 23% and 31%, respectively. Under same condition of decreasing the surface cover rate, average annual nitrogen loads increased by 1.4 times, 1.7 times, 2.0 times, and 2.3 times compared with organic farming field, respectively. This study showed that it is possible to present an appropriate surface cover ratio to maintain conventional production and minimize nonpoint sources pollution for organic farming system, although long-term monitoring is needed to determine its effects on environmental concerns, crop competition, and other uncertainty.

• Restorative Dentistry and Endodontics
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• 제41권1호
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• pp.6-11
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• 2016

Objectives: The purpose of this in vitro study was to evaluate the accuracy of working length (WL) determination of four electronic apex locators (EALs), namely, Root ZX (RZX), Elements diagnostic unit and apex locator (ELE), SybronEndo Mini Apex locator (MINI) and Propex pixi (PIXI) using Stainless steel (SS) and nickel-titanium (NiTi) hand files. The null hypothesis was that there was no difference between canal length determination by SS and NiTi files of 4 EALs. Materials and Methods: Sixty extracted, single rooted human teeth were decoronated and the canal orifice flared. The actual length (AL) was assessed visually, and the teeth were embedded in an alginate model. The electronic length (EL) measurements were recorded with all four EALs using SS and NiTi files at '0.5' reading on display. The differences between the AL and EL were compared. Results: The results obtained with each EAL with SS and NiTi files were compared with AL. A paired sample t test showed that there was a statistical significant difference between EAL readings with SS and NiTi files for RZX and MINI (p < 0.05). The accuracy of RZX, ELE, MINI and PIXI within ${\pm}0.5 mm$ of AL with SS/NiTi files were 93.3%/70%, 90%/91.7%, 95%/68.3%, and 83.3%/83.3%, respectively. Conclusions: The results of this study indicate that Root ZX was statistically more accurate with NiTi files compared to SS files, while MINI was statistically more accurate with SS files compared to NiTi files. ELE and PIXI were not affected by the alloy type of the file used to determine WL.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2020년도 학술발표회
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• pp.200-200
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• 2020

본 연구에서는 SWAT 모형과 APEX-Paddy 모형의 연계 모델링을 통한 대표 BMP(Best management practice) 적용, 정식시기 및 벼 생육기간을 고려한 시나리오 적용을 통해 농업용수의 관리 및 수질환경 개선 등에 활용할 수 있는 저영향 영농활동을 분석하고자 하였다. 만경강 유역을 대상으로 SWAT 모형을 구축하고 유역 내에 위치한 논 시험포장을 대상으로 강우-유출 및 비점오염원 모니터링 자료를 활용하여 APEX-Paddy 모형을 구축하였다. SWAT 모형과 APEX 모형을 연계하여 유역의 수문, 수질에 대한 정밀한 모델링을 수행하였으며, 이는 저영향 영농활동을 분석하기 위한 필드단위의 정확한 결과를 유역차원에 반영하기 위함이다. 특히, 본 연구에 사용된 APEX-Paddy 모형은 농촌진흥청과 Texas A&M의 공동연구를 통해 개발된 새로운 모형으로서 한국의 논 영농활동 및 담수환경을 반영하여 논에서의 유출 및 비점오염원을 모의할 수 있다. 연계 모형의 적합성 평가를 위해 R² (Determine of Coefficient), RMSE (Root mean square error), NSE (Nash-sutcliffe efficiency)를 사용하였다. 적합성 평가 지표를 분석한 결과, 유출량은 R² 평균 0.91, RMSE 평균 2.87 mm/day, NSE 평균 0.78로 나타났다. T-N 부하량은 R² 평균 0.74, RMSE 평균 59.3 kg/ha/day, NSE 평균 0.50으로 나타났다. 저영향 영농활동 관리방안을 위한 시나리오로 1) 논의 물꼬높이(BMP) 관리 적용, 2) 벼 생육기간 조절을 고려하여 기온변화에 따른 정식시기, 벼 생육기간 등을 조정하여 적용하였다. 기후변화 시나리오는 10개 GCM 모델의 RCP 8.5 시나리오를 통해 분석하였으며, 유역차원의 미래 영향을 분석한 결과, 물꼬관리 BMP에 따라 담수심이 증가되며, 관개량이 감소하고 유출량 10.7%, T-N 11.2% 저감되는 것을 나타냈으며, 벼 생육기간 조절은 BMP보다 상대적으로 효과가 높진 않았지만, 유출량 1.4%, T-N 3.1%의 저감효과를 나타냈다. 따라서 두 가지의 저영향 영농활동 관리방안은 미래기간의 기후변화에 대응하여 농업용수 및 물관리에 도움이 될 것으로 사료된다. 하지만 본 연구결과는 모델링 결과에 의존한 것이며, 추후 지속적인 연구와 보완이 필요하다.

• 대한치과보철학회지
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• 제31권3호
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• pp.303-316
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• 1993

The purpose of this study was to analysis the stress distribution induced by three unit PFM bridges and various cantilever bridges replacing maxillary latersal incisor. The simplified two-dimensional photoelastic models used for this study was contructed in the folio- wing way. CR/R ratio was designed to be 1 : 1, 1 : 1.25 and 1 : 1.5. The pontics of cantilever bridge supported by maxillary canines consisted of wrap-around type, rest-extension type, and simple type. 3-unit PFM bridge was constructed with traditional method. 1kg vertical static load was applied on the center of the incisal edge of the pontic. The stress pattern was examined and recorded by photography. The results obtained were as follows ; 1. The magnitude of stress on the abutment root apex area of a traditional 3-unit bridge was the lowest. 2. The model of cantilevered pontic with a rest showed the relatively well distributed stress around the abutment tooth. The model with simple pontic generated the greatest stress concentration in the supporting structure of the abutment tooth. 3. As the height of bone level reduced, the rotational and vertical force increased around the abutment tooth. 4. The stress concentration of the 3-unit bridges occured on the root apex and stress concentration of the cantilever briage occured on the root apex and cervix area, 5. In the case of the cantilever bridge, stress concentrated distally on the root apex area of the abutment tooth and additional stress was observed mesially on the upper part of the root. Especially in the case of the simple pontic, was phenomenon was more apparent than the others. 6. Force applied to cantilevered pontic was transmitted to the adjacent central incisor through the contact surface. Stress was markedly observed on the mesial cervix area in the case of simple pontic and on the root apex area in the case of wrap-around type and rest-extension type.

• 한국농공학회논문집
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• 제63권6호
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• pp.1-16
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• 2021

Global warming due to climate change is expected to significantly affect the hydrological cycle of agriculture. Therefore, in order to predict the magnitude of climate impact on agricultural water resources in the future, it is necessary to estimate the water demand for irrigation as the climate change. This study aimed at evaluating the future changes in water demand for irrigation under two Shared Socioeconomic Pathways (SSPs) (SSP2-4.5 and SSP5-8.5) scenarios for paddy rice in Gimje, South Korea. The APEX-Paddy model developed for the simulation of paddy environment was used. The model was calibrated and validated using the H₂O flux observation data by the eddy covariance system installed at the field. Sixteen General Circulation Models (GCMs) collected from the Climate Model Intercomparison Project phase 6 (CMIP6) and downscaled using Simple Quantile Mapping (SQM) were used. The future climate data obtained were subjected to APEX-Paddy model simulation to evaluate the future water demand for irrigation at the paddy field. Changes in water demand for irrigation were evaluated for Near-future-NF (2011-2040), Mid-future-MF (2041-2070), and Far-future-FF (2071-2100) by comparing with historical data (1981-2010). The result revealed that, water demand for irrigation would increase by 2.3%, 4.8%, and 7.5% for NF, MF and FF respectively under SSP2-4.5 as compared to the historical demand. Under SSP5-8.5, the water demand for irrigation will worsen by 1.6%, 5.7%, 9.7%, for NF, MF and FF respectively. The increasing water demand for irrigating paddy field into the future is due to increasing evapotranspiration resulting from rising daily mean temperatures and solar radiation under the changing climate.