• Journal of Korean Biological Nursing Science
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• v.20 no.3
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• pp.187-195
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• 2018

Purpose: The purpose of this study was to identify associations among the sleep disturbance, fatigue, job stress, and blood and body fluid (BBF) exposure of shift-work nurses. Methods: A total of 299 shift-work nurses from two tertiary hospitals were enrolled in this study. We used the Insomnia Severity Index (ISI), and the Fatigue Severity Scale (FSS), and the Korean Occupational Stress Scale-Short Form (KOSS-SF) to evaluate sleep disturbance, fatigue, and job stress, respectively. The data were analyzed using t-test or chi-squared test and Logistic regression analysis using the SPSS 23.0 program. Results: We found that 43.8% of participants reported BBF exposure over the past year. Splash or exposure to broken skin of BBF were most frequent (56.9%), and followed by needlestick injuries (30.4%) and sharp injuries (12.8%). Age, hospital, working period, level of stress, sleep disturbance ($ISI{\geq}15$), fatigue (FSS $score{\geq}4$), job demand and organizational climate subset in KOSS-SF were significantly associated with BBF exposure in shift-work nurses. In multivariate analysis after adjusting age and hospital, the risk factors of BBF exposure in shift-work nurses were the level of stress and fatigue (FSS $score{\geq}4$). Conclusion: Fatigue and job stress were related to BBF exposure in shift-work nurses. Our results suggest that management of sleep disturbance, fatigue, and high job stress in shift-work nurses is needed to reduce risk of BBF exposure.

• Journal of Korean Society for Atmospheric Environment
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• v.27 no.2
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• pp.181-190
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• 2011

The air pollutants from vehicle exhaust gas are affected by many factors including fuel qualities, engine and vehicle technologies, driving patterns. In particular, fuel qualities and after-treatment devices could directly affect the emission level of pollutants. The pollutant reduction characteristics that caused by enforced fuel quality standard were analyzed. Three types of test fuel were selected in accordance with Korean automotive fuel standard in 2006, 2009, 2012 and used for vehicle emission test in chassis dynamometer. European COPERT correction equation of fuel impact was considered as reference information to quantify the vehicle emission test results. The contribution rates of exhaust emission by COPERT correction equation showed that aromatic compounds and oxygen contents in gasoline fuel was most important. In case of diesel fuel, cetane index and polycyclic aromatic compounds accounted for the greater part. The exhaust emission effects by COPERT correction equation revealed that CO and VOC was increased 0.86%, 1.57% respectively in after 2009 gasoline when compared to before 2009 gasoline fuel. In case of light-duty diesel vehicle CO, VOC and PM were decreased in range of 3~7%. The result from this study could be provided for developing future fuel standards and be used to fundamental information for Korean clean air act.

• Journal of Korean Society for Atmospheric Environment
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• v.27 no.2
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• pp.225-237
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• 2011

For each local town (6 cities and 8 counties) affiliated with Jeonbuk provincial government, characteristics of greenhouse gas (GHG) emissions were analyzed and key emission areas were drawn to establish mitigation policies of the regional greenhouse gases. National Institute of Environmental Research (NIER) reported that the total greenhouse gas emission of Jeonbuk was 20.93 million $tCO_2e$ in 2006. The inland area of 5 cities and 1 county (Jeonju, Gunsan, Iksan, Jungeup, Kimje, Wanju) covered 82% of total greenhouse gas emission in Jeonbuk, while the rest local towns of the province, mostly from mountainous areas were responsible for the rest of the total GHG emission. The cities and counties having relatively higher emission in Jeonbuk province were influenced dominantly by the emission from energy and waste sections. Also, agricultural section showed similar tendency except industrial cities such as Gunsan and Jeonju. In the internal portion of city and county, energy section showed the highest portion at the range of 72.1 (Sunchang)~97.0% (Jeonju) and agricultural section was at the range of 1.2% (Jeonju)~26.6 (Sunchang). When the portion of energy section was higher, the lower agricultural section. The emission index was applied to decide the key city and county and the potential city and county with two methodologies in this study. It was required that the key emission areas were drawn to establish regional greenhouse gases mitigation policies.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.21 no.3
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• pp.146-155
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• 2011

Objectives: This study was conducted to investigate the association between job stress and mental health among male and female workers in a large electric manufacture company. Methods: A cross-sectional study was carried out on 3,228 employees who participated in annual medical check-up working in a large electric manufacture company in Gyeonggi Province. Medical check-up and self-administrated questionnaire were performed at the same time. Korean Occupational Stress Scale Short Form (KOSS-SF) and Psychosocial Wellbeing Index Short Form (PWI-SF) were applied to assess occupational stress and mental health. Hierarchical multiple linear regression and multiple logistic regression were performed to estimate the association between job stress and mental health. Results: The proportion of high risk of mental health was 17.1% in male, and 46.9% in women. Job stress had a greater effect on mental health than other general and work characteristics. All subscales of job stress were revealed to affect mental health. Bad occupational climate and lack of reward are the strongest risk factors in mental health of male and female respectively. Conclusions: Our results suggest that job stress could affect mental health among large electronic manufacture workers.

• Korean Journal of Remote Sensing
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• v.29 no.3
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• pp.275-291
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• 2013

Monitoring the global Gross Primary Pproduction (GPP) is relevant to understanding the global carbon cycle and evaluating the effects of interannual climate variation on food and fiber production. GPP, the flux of carbon into ecosystems via photosynthetic assimilation, is an important variable in the global carbon cycle and a key process in land surface-atmosphere interactions. The Moderate-resolution Imaging Spectroradiometer (MODIS) is one of the primary global monitoring sensors. MODIS GPP has some of the problems that have been proven in several studies. Therefore this study was to solve the regional mismatch that occurs when using the MODIS GPP global product over Korea. To solve this problem, we estimated each of the GPP component variables separately to improve the GPP estimates. We compared our GPP estimates with validation GPP data to assess their accuracy. For all sites, the correlation was close with high significance ($R^2=0.8164$, $RMSE=0.6126g{\cdot}C{\cdot}m^{-2}{\cdot}d^{-1}$, $bias=-0.0271g{\cdot}C{\cdot}m^{-2}{\cdot}d^{-1}$). We also compared our results to those of other models. The component variables tended to be either over- or under-estimated when compared to those in other studies over the Korean peninsula, although the estimated GPP was better. The results of this study will likely improve carbon cycle modeling by capturing finer patterns with an integrated method of remote sensing.

• Proceedings of the Korea Water Resources Association Conference
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• 2009.05a
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• pp.1590-1596
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• 2009

최근 기후변화의 영향으로 인한 기상이변으로 인해 세계적으로 많은 피해가 발생하고 있으며, 규모도 점점 커지고 있다. 특히 가뭄에 대한 피해는 더욱 더 심화되는 현상으로 보이고 있다. 본 연구에서는 국내에 적합한 월단위와 주단위 가뭄전망을 제시하였다. 월단위 전망에서는 앙상블 기법을 기반으로 기상청에서 제공하는 월간산업기상정보의 적용에 따른 가뭄전망 정확성을 비교하였다. 주단위 전망에서는 기상청에서 제공하는 GDAPS를 이용하여 확정론적 가뭄전망을 하였다. 가뭄지수로서는 강수, 유량, 지하수위를 인자로 하는 MSWSI(Modified Surface Water Supply Index)를 가뭄지수로 사용하였으며, MSWSI는 5개 구간으로 나누었다. 월단위 가뭄전망에서는 물수지모형인 abcd모형에 과거 강수와 잠재증발산량 시나리오를 입력변수로 하여 최종적으로 유량과 지하수위 시나리오를 생산하여, 확률 가뭄전망을 위해 각 구간의 발생확률을 산정하고 실측자료로부터 산정한 MSWSI와 비교하였다. 정확성 평가를 위해서 RPS(Ranked Probability Score)를 이용하였다. 금강유역에 적용한 결과, 이수기(10월-이듬해 6월)에는 4개 달이 초보전망보다 높았으나 전체 RPS는 1.87로서 초보전망의 1.84보다 높아 현재 월단위 가뭄전망기법에는 많은 불확실성이 존재하였다. 또한 월간산업기상정보를 이용한 월단위 가뭄전망에서도 초보전망보다 정확성이 낮아, 현재 중장기 기상정보를 이용하기에는 어려운 것으로 나타났다. 주단위 가뭄전망에서는 abcd모형에 GDAPS를 입력변수로 하여 확정론적 MSWSI를 산정하여 실측자료로부터 산정한 MSWSI와 비교하였으며, Hit ratio를 이용하여 그 정확성을 평가하였다. 주단위 가뭄전망 결과, 주단위 가뭄전망의 Hit ratio가 0.480으로서 초보전망보다 높아 주단위 가뭄전망은 효용성이 있음을 입증하였다. 본 연구에서 적용기간이 짧아 가뭄전망의 정확성을 판단하기는 이르나, 월단위 가뭄전망에서는 기상정보의 정확성이 향상에 따라 가뭄전망의 정확성도 향상될 것으로 판단된다. 장기적으로 본 연구 결과를 토대로 단기와 중장기 가뭄전망을 수행하고 평가한다면, 가뭄전망에 대한 신뢰도가 더 높아질 것으로 사료된다.

• Journal of Korea Water Resources Association
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• v.51 no.2
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• pp.89-98
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• 2018

Satellite data have attracted attention on research such as natural disaster and climate changes because satellite data is very advantageous for observing a wide range of variability. However, there are still limited spatial and temporal resolutions in satellite data. To overcome these limitations, fusion of various sensors and combination of primary products are used. In this study, surface temperature data of 500 m spatial resolution was produced by fusion of GOCI and MI data of COMS. Also these LST are used with NDVI for estimating TVDI. Soil moisture condition of the Korean peninsula was evaluated by these TVDI and it was compared with SSMI derived from ASCAT surface soil moisture data. As a result, COMS TVDI and ASCAT SSMI showed similar spatial distribution and suggested the possibility of observing the soil moisture using COMS. Therefore, the TVDI estimations can be used as a basis for estimating the high resolution soil moisture, and the application of the COMS can be expanded for various studies.

• Journal of Environmental Science International
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• v.22 no.1
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• pp.99-107
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• 2013

This study surveyed the distribution and characteristics of epiphytes and host trees in Jejudo's warm-temperate evergreen forests area. The gathered data will be used for evaluating ecological changes according to climate change. The study found 46 species of epiphytes in Jejudo; 12 of which were species of pteridophytes and 5 species of orchids, totaling 17 species of epiphytes. The appearance frequency was the greatest with Lepisorus thunbergianus, followed by Lemmaphyllum microphyllum and Lepisorus onoei. The area with the greatest diversity of epiphytes was nutmeg tree forests which have the largest number of 2.89 average species. Lemmaphyllum microphyllum had the greatest percent cover of the epiphytes whose importance was found to be the greatest. The factors involved were the epiphytes' diversity index (0.64), maximum species diversity (1.23), evenness (0.52), and dominance (0.48). The study has noted the distribution characteristics of epiphytes according to altitudes above sea level. The Lemmaphyllum microphyllum can survive at an altitude of 600 m above sea level, Lepisorus thunbergianus at 200 - 1,400m above sea level, Lepisorus onoei. at 400 - 1,000 m, and Gonocormus minutus at an altitude above 800 m. The host trees, consisting of Quercus serrata, Castanopsis cuspidata var. sieboldii, and Carpinus laxiflora, stands at 2-19 m high and 2.5 - 120 cm wide, showing diverse kinds of trees and sizes. Jejudo's warm-temperate evergreen forests have lower epiphyte diversity compared with those of subtropical and tropical areas in Japan and China. Based on the characteristics of the host trees order, epiphytes' distribution associated with the altitude above sea level was typical.

• Journal of Korean Society of Forest Science
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• v.98 no.3
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• pp.324-330
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• 2009

The objective of this study is to estimate the carbon sequestration in forest stands using KOMPSAT-2 imagery. For estimating the amount of carbon sequestration, the stand biomass of forest was estimated with the total weight, which was the sum of individual tree weight. Individual tree volumes could be estimated by the crown width extracted from KOMPSAT-2 imagery. In particular, the carbon conversion index and the ratio of the $CO_2$ molecular weight to the C atomic weight, reported in the Intergovernmental Panel on Climate Change (IPCC) guideline, was used to convert the stand biomass into the amount of carbon sequestration. Thereafter, the KOMPSAT-2 imagery was classified with the segment based classification (SBC) method in order to quantify carbon sequestration by tree species. This approach, estimating the amount of carbon sequestration for certain species in stand, can be available to extend plot-based carbon sequestration to stand-based carbon sequestration.

• Atmosphere
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• v.27 no.3
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• pp.261-276
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• 2017

The main objectives of this study are to introduce Global Seasonal forecasting system version5 (GloSea5) of KMA and to evaluate the performance of ensemble prediction of system. KMA has performed an operational seasonal forecast system which is a joint system between KMA and UK Met office since 2014. GloSea5 is a fully coupled global climate model which consists of atmosphere (UM), ocean (NEMO), land surface (JULES) and sea ice (CICE) components through the coupler OASIS. The model resolution, used in GloSea5, is N216L85 (~60 km in mid-latitudes) in the atmosphere and ORCA0.25L75 ($0.25^{\circ}$ on a tri-polar grid) in the ocean. In this research, we evaluate the performance of this system using by RMSE, Correlation and MSSS for ensemble mean values. The forecast (FCST) and hindcast (HCST) are separately verified, and the operational data of GloSea5 are used from 2014 to 2015. The performance skills are similar to the past study. For example, the RMSE of h500 is increased from 22.30 gpm of 1 week forecast to 53.82 gpm of 7 week forecast but there is a similar error about 50~53 gpm after 3 week forecast. The Nino Index of SST shows a great correlation (higher than 0.9) up to 7 week forecast in Nino 3.4 area. It can be concluded that GloSea5 has a great performance for seasonal prediction.