• Title/Summary/Keyword: 2-period model

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Gas Absorption Potential of Oak Charcoal and Modelling for Practical Application (참숯의 가스 흡착능 분석 실험과 실용화 모델링)

  • Park, Youn-Moon;Ha, Hyun-Tae
    • Horticultural Science & Technology
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    • v.19 no.2
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    • pp.174-178
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    • 2001
  • Absorption potential of oak charcoal was estimated using simulated static and dynamic systems to establish a model for practical application of the charcoal in modified atmosphere (MA) packaging and during the storage of 'Fuji' apples. Practical MA packaging was performed using $60{\mu}m$ PE film zipper bags in which five apples were placed. Absorption potential of oak charcoal was $58.4{\mu}L/100g$ charcoal for ethylene and 583 mg/100 g charcoal for carbon dioxide. Effects of enclosing a 100 g-charcoal packet inside a MA package seemed not to last long enough for quality maintenance of 'Fuji' apples stored at $0^{\circ}C$ for three months. During extended storage, ethylene and $CO_2$ levels were not significantly reduced by charcoal treatment. Nevertheless, absorption of carbon dioxide appeared to alleviate the incidence of $CO_2$-related internal browning disorder. Modelling study of practical storage and marketing procedure indicates that 0.19 kg charcoal/day is required to offset $CO_2$ production from 15 kg of apples at $0^{\circ}C$. The amount of charcoal should be increased to 3.10 kg/day if ethylene is a target gas. From the practical point of view, the results suggest that charcoal could be used only for small unit packages for a short period.

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A Quantitative Analysis of the Effect of Ocean Emissions on the Simulated Ozone Concentration in South Korea (국내 오존 모의 농도에 대한 해양 배출량의 영향 정량 분석)

  • Park, Jaehyeong;Jeon, Wonbae;Mun, Jeonghyeok;Kim, Dongjin
    • Journal of Environmental Science International
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    • v.30 no.5
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    • pp.413-424
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    • 2021
  • In this study, we quantitatively analyze the effect of ocean emission sources on the simulated O3 concentrations in South Korea using the community multi-scale air quality (CMAQ) model. To analyze changes in O3 concentrations by ocean emissions, two different CMAQ simulations considering ocean emissions (OE case) and without considering ocean emissions (NE case) were conducted during the Korea-United States air quality (KORUS-AQ) campaign period (May-June 2016). The changes in the simulated O3 concentrations due to the effect of ocean emissions (OE case-NE case) appeared mostly in the ocean areas (+1.201 ppbv). The effect of ocean emissions was positive during the daytime (+1.813 ppbv), but negative during the nighttime (-0.612 ppbv). Analysis using the integrated process rate (IPR) confirmed that the increase or decrease in O3 concentration by ocean emissions was mainly due to chemical processes. Further analysis using the integrated reaction rate (IRR) showed that the daytime increase in O3 concentration was mainly attributable to the increased O3 production via O + O2 + M → O3 + M reaction as photolysis of NO2 increased due to the added ocean emissions. The nighttime decrease in O3 concentration was mainly due to the increased O3 titration by NO (NO + O3 → O2 + NO2) due to the increased NO emission. These results indicate that the changes in the concentration O3 in the sea area by the effect of ocean emissions are mainly due to increased NOx emissions. However, there could be a number of uncertainties in ocean emissions data used in this study, thus continuous comparative research using the most updated data will need to be carried out in the future.

A Study on the Factors Influencing Burnout of Psychiatric Ward Nurses -Violence Experience, Violence Coping, Social Support- (정신과병동 간호사의 소진 영향 요인에 관한 연구 -폭력경험, 폭력대처, 사회적지지)

  • Seo, Jeong-Won;Kang, Mi-Ran;Je, Nam-Joo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.7
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    • pp.393-405
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    • 2019
  • This study is descriptive survey research to find out factors which violence experience, violence coping and social support affect. This study aims at reducing burnout of psychiatry nurses and founding problem-oriented violence handling standardized intervention. The subjects were 204 nurses who have worked for more than a year in a hospital. The data collection period was conducted with structured survey from July 1, 2018 to August 31, 2018. Collected data was analysed with average, standard deviation, t-test, ANOVA, Pearson's Correlation confident, Multiple Regression and this data will go to by SPSS. The results of the study were as follows. 92.2% of psychiatry nurses are experiencing verbal violence, 92.2% are experiencing physical threat and 75.5% are experiencing physical violence. Relations between violence experience and violence coping(r=0.15. p<.027), violence experience and burnout(r=0.16, p<.017) were positive correlation. Relation between violence coping and social support(r=0.30, p<.001) was positive correlation, and social support and burnout(r=-0.28, p<.001) was negative correlated. Also we found out that nursing job satisfaction, social support and physical violence experience affect burnout. Which shows model's explanatory power was 33.3%. Therefore preventive discipline which can reduce violence experience of psychiatry nurses, founding systems to reinforce social support and creating circumstance where nursing job satisfaction can increase will help reduce burnout and serve better nursing.

Distribution and Prediction Modeling of Snake Roadkills in the National Parks of South Korea: Odaesan National Park (오대산국립공원 내 뱀류 로드킬 분포현황 및 발생예측 모델링)

  • Kim, Seok-Bum;Park, Il-Kook;Park, Daesik
    • Korean Journal of Environment and Ecology
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    • v.36 no.5
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    • pp.460-467
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    • 2022
  • In this study, we collected snake roadkill data from 2006 to 2017 and developed a species distribution model to identify the pattern of snake roadkill and predict the potential hotspot of snake roadkill in the Odaesan National Park of South Korea. During the study period, snake roadkills occurred most frequently on the road, which passes through between forest and stream at an altitude of about 600 m. The modeling result showed that the occurrence probability of snake roadkill was high on a road with a gentle slope at a distance of 25 m from the stream and an altitude of 600 m. The most susceptible regions for snake roadkill in the Odaesan National Park were located on National Route 6, about 2.2 km and 11.7 km away from the southern border of the park, and on Local Road 446, 3.44 km away from the southern border of the park. The results of this study suggest that providing alternative basking places and eco-corridors and installing protection fences that block the inflow of snakes into roads, preferentially around roads and streams at an altitude lower than 700 m would be an effective way of reducing snake roadkill in the Odaesan National Park.

A study on estimating the quick return flow from irrigation canal of agricultural water using watershed model (유역모델을 이용한 농업용수 신속회귀수량 산정 연구)

  • Lee, Jiwan;Jung, Chunggil;Kim, Daye;Maeng, Seungjin;Jeong, Hyunsik;Jo, Youngsik;Kim, Seongjoon
    • Journal of Korea Water Resources Association
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    • v.55 no.5
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    • pp.321-331
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    • 2022
  • In this study, we tried to present a method for calculating the amount of regression using a watershed modeling method that can simulate the hydrological mechanism of water balance analysis and agricultural water based on watershed unit. Using the soil water assessment tool (SWAT), a watershed water balance analysis was conducted considering the simulation of paddy fields for the Manbongcheon Standard Basin (97.34 km2), which is a representative agricultural area of the Yeongsan river basin. Before evaluating return flow, the SWAT was calibrated and validated using the daily streamflow observation data at Naju streamflow gauge station (NJ). The coefficient of determination (R2), Nash-Sutcliffe Efficiency (NSE), Root-Mean-Square Error (RMSE) of NJ were 0.73, 0.70, 0.64 mm/day. Based on the calibration results for three years (2015-2017), the quick return flow and the return rate compared to the water supply amount for the irrigation period (April 1 to September 30) were calculated, and the average return flow rate was 53.4%. The proposed method of this study may be used as foundation data to optimal agricultural water supply plan for rational watershed management.

Prediction of Change in Growth Rate of Algae in Jinhae Bay due to Cooling Water Discharge (냉배수 방류에 따른 진해만의 해조류 성장 속도 변화 예측)

  • Park, Seongsik;Yoon, Seokjin;Lee, In-Cheol;Kim, Byeong Kuk;Kim, Kyunghoi
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.27 no.2
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    • pp.308-323
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    • 2021
  • In this study, we aimed to evaluate the environmental changes in Jinhae Bay caused by cooling water using numerical modeling. Cooling water discharge volume from the results of Case 1 (10 m3 sec-1) showed that the environmental changes in Jinhae Bay were extremely insignificant throughout the study period. In the simulation conditions of Case 2 (100 m3 sec-1), there was a decrease in water temperature of approximately 1 - 3℃ within a 5 km radius from the discharge outlet. In Case 3 (1000 m3 sec-1), a decrease in water temperature of up to 4 - 5℃ was observed within a radius of 8 km from the discharge outlet and cooling water discharge spread throughout the Bay. Growth rate of microalgae decreased by up to 15 % in November, whereas it increased by up to 6 % near the Hangam Bay in Case 3. From the above results, we confirmed that the environmental changes in Jinhae Bay due to cooling water discharged from Tongyeong LNG station are extremely insignificant. Moreover, it is expected that cooling water discharge could be utilized as a counter measure for 'red tide bloom' or 'macroalgae growth'.

Analysis of Infrared Characteristics According to Common Depth Using RP Images Converted into Numerical Data (수치 데이터로 변환된 RP 이미지를 활용하여 공동 깊이에 따른 적외선 특성 분석)

  • Jang, Byeong-Su;Kim, YoungSeok;Kim, Sewon;Choi, Hyun-Jun;Yoon, Hyung-Koo
    • Journal of the Korean Geotechnical Society
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    • v.40 no.3
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    • pp.77-84
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    • 2024
  • Aging and damaged underground utilities cause cavity and ground subsidence under roads, which can cause economic losses and risk user safety. This study used infrared cameras to assess the thermal characteristics of such cavities and evaluate their reliability using a CNN algorithm. PVC pipes were embedded at various depths in a test site measuring 400 cm × 50 cm × 40 cm. Concrete blocks were used to simulate road surfaces, and measurements were taken from 4 PM to noon the following day. The initial temperatures measured by the infrared camera were 43.7℃, 43.8℃, and 41.9℃, reflecting atmospheric temperature changes during the measurement period. The RP algorithm generates images in four resolutions, i.e., 10,000 × 10,000, 2,000 × 2,000, 1,000 × 1,000, and 100 × 100 pixels. The accuracy of the CNN model using RP images as input was 99%, 97%, 98%, and 96%, respectively. These results represent a considerable improvement over the 73% accuracy obtained using time-series images, with an improvement greater than 20% when using the RP algorithm-based inputs.

A Tracer Study on Mankyeong River Using Effluents from a Sewage Treatment Plant (하수처리장 방류수를 이용한 추적자 시험: 만경강 유역에 대한 사례 연구)

  • Kim Jin-Sam;Kim Kang-Joo;Hahn Chan;Hwang Gab-Soo;Park Sung-Min;Lee Sang-Ho;Oh Chang-Whan;Park Eun-Gyu
    • The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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    • v.11 no.2
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    • pp.82-91
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    • 2006
  • We investigated the possibility of using effluents from a municipal sewage treatment plant (STP) as tracers a tracer for hydrologic studies of rivers. The possibility was checked in a 12-km long reach downstream of Jeonju Municipal Sewage Treatment Plant (JSTP). Time-series monitoring of the water chemistry reveals that chemical compositions of the effluent from the JSTP are fluctuating within a relatively wide range during the sampling period. In addition, the signals from the plant were observed at the downstream stations consecutively with increasing time lags, especially in concentrations of the conservative chemical parameters (concentrations f3r chloride and sulfate, total concentration of major cations, and electric conductivity). Based on this observation, we could estimate the stream flow (Q), velocity (v), and dispersion coefficient (D). A 1-D nonreactive solute-transport model with automated optimization schemes was used for this study. The values of Q, v, and D estimated from this study varied from 6.4 to $9.0m^3/sec$ (at the downstream end of the reach), from 0.06 to 0.10 m/sec, and from 0.7 to $6.4m^2/sec$, respectively. The results show that the effluent from a large-scaled municipal STP frequently provides good, multiple natural tracers far hydrologic studies.

Development of a Structural-Analysis Model for Blast-Resistant Design of Plant Facilities Subjected to Vapor-Cloud Explosion (증기운 폭발을 받는 플랜트 시설물의 내폭설계를 위한 구조 해석 모델 개발)

  • Bo-Young Choi;Seung-Hoon Lee;Han-Soo Kim
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.37 no.2
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    • pp.103-110
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    • 2024
  • In this study, a nonlinear dynamic analysis of a frame and single member, which reflect the characteristics of a plant facility, is performed using the commercial MIDAS GEN program and the results are analyzed. The general structural members and material properties of the plant are considered. The Newmark average-acceleration numerical-analysis method is applied to a plastic hinge to study material nonlinearity. The blast load of a vapor-cloud explosion, a representative plant explosion, is calculated, and nonlinear dynamic analysis is conducted on a frame and single member. The observed dynamic behavior is organized according to the ratio of natural period to load duration, maximum displacement, ductility, and rotation angle. The conditions and range under which the frame functions as a single member are analyzed and derived. NSFF with a beam-column stiffness ratio of 0.5 and ductility of 2.0 or more can be simplified and analyzed as FFC, whereas NSPF with a beam-column stiffness ratio of 0.5 and ductility of 1.5 or more can be simplified and analyzed as FPC. The results of this study can serve as guidelines for the blast-resistant design of plant facilities.

Development and Evaluation of a Nutritional Risk Screening Tool (NRST) for Hospitalized Patients (입원환자의 영양불량위험 검색도구의 개발 및 평가)

  • Han, Jin-Soon;Lee, Song-Mi;Chung, Hye-Kyung;Ahn, Hong-Seok;Lee, Seung-Min
    • Journal of Nutrition and Health
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    • v.42 no.2
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    • pp.119-127
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    • 2009
  • Malnutrition of hospitalized patients can adversely affect clinical outcomes and cost. Several nutritional screening tools have been developed to identify patients with malnutrition risk. However, many of those possess practical pitfalls of requiring much time and labor to administer and may not be highly applicable to a Korean population. This study sought to develop and evaluate a Nutrition Risk Screening Tool (NRST) which is simple and quick to administer and widely applicable to Korean hospitalized patients with various diseases. The study was also designed to generate a screening tool predictable of various clinical outcomes and to validate it against the Nutritional Risk Screening 2002 (NRS 2002). Electronic medical records of 424 patients hospitalized at a general hospital in Seoul during a 14-month period were abstracted for anthropometric, medical, biochemical, and clinical outcome variables. The study employed a 4-step process consisting of selecting NRST components, searching a scoring scheme, validating against a reference tool, and confirming clinical outcome predictability. NRST components were selected by stepwise multiple regression analysis of each clinical outcome (i.e., hospitalization period, complication, disease progress, and death) on several readily available patient characteristics. Age and serum levels of albumin, hematocrit (Hct), and total lymphocyte count (TLC) remained in the last model for any of 4 dependent variables were decided as NRST components. Odds ratios of malnutrition risk based on NRS 2002 according to levels of the selected components were utilized to frame a scoring scheme of NRST. A NRST score higher than 3.5 was set as a cut-off score for malnutrition risk based on sensitivity and specificity levels against NRS 2002. Lastly differences in clinical outcomes by patients' NRST results were examined. The results showed that the NRST can significantly predict the in-hospital clinical outcomes. It is concluded that the NRST can be useful to simply and quickly screen patients at high-nutritional risk in relation to prospective clinical outcomes.