• The Journal of the Korea Contents Association
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• v.14 no.6
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• pp.288-297
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• 2014

The purpose of this study was to investigate the quality of life related to swallowing through Swallowing-Quality Of Life(SWAL-QOL) and examine the impact of SWAL-QOL on overall quality of life measured by Short-Form Health Survey(SF-36) and Geriatric Quality of Life(GQOL). For this purpose, the SWAL-QOL, SF-36 and GQOL have been conducted on 140 old people who were all over 60 years of age and physically and mentally normal. The collected data have been analyzed using a Windows SPSS 21.0 program. The results show that the SWAL-QOL are significant differences according to age(F=7.76, p<.01) and aspiration(t=-4.44, p<.01) and aspiration is ouly factor affecting the SW AL-QOL in elderly people. There are significant correlations between SF-36, GQOL and SW AL-QOL and the pearson product moment correlation coefficient is .39(p<.01) and .33(p<.01) respectively. The SWAL-QOL can predict approximately 36% and 25% of quality of life measured by SF-36 and GQOL. Therefore, this result will be able to utilize as basic data to improvement of quality of life related swallowing and overall quality of life related to health in normal elderly people.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.1
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• pp.55-65
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• 2017

This study was conducted to investigate the mediating effects of coping on the impact of life stress on depression, subjective well-being and psychological well-being in nursing students. Self-report questionnaires were used to collect data from 147 nursing students. Data were analyzed using descriptive statistics, Pearson's correlation coefficient and hierarchical multiple regression. Nursing students who had a higher level of depression had a higher level of life stress, as well as a higher frequency of avoidance coping. Conversely, those who had a higher level of subjective well-being and psychological well-being had a lower level of life stress, as well as a lower frequency of avoidance coping. There were also significant positive correlations between psychological well-being and problem solving coping. The results showed that avoidance coping partially mediated the effects of life stress on depression, subjective well-being and psychological well-being. The results suggest that it is necessary to offer stress management programs to reduce avoidance coping, with additional consideration of life stress and coping strategies, to prevent depression and improve well-being among nursing students.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.7
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• pp.629-640
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• 2016

This study was conducted to investigate the influence of job stress, fatigue symptoms and job satisfaction on turnover intention among dental hygienists. Overall, 516 dental hygienists who work in dental clinics were surveyed using a standardized self-administered questionnaire from April 1 to June 30, 2015. Mean turnover intention was compared to each independent variable tested by t-tests and ANOVA, correlation among turnover intention, job stress, fatigue symptoms and job satisfaction was calculated by Pearson's correlation coefficient, and covariance structure analysis was used to evaluate whether turnover intention was associated with job stress, fatigue symptoms and job satisfaction. Turnover intention was significantly higher among subjects with higher job stress and fatigue, as well as those with lower job satisfaction. Additionally, turnover intention was significantly positively correlated with job stress and fatigue symptoms, while turnover intention was negatively correlated with job satisfaction. Covariance structure analysis revealed job stress had a greater impact on turnover intention than fatigue and job satisfaction, high job stress and fatigue, the lower the job satisfaction showed that the effect of increasing the turnover intention. Overall, these results indicate that turnover intention of dental hygienists are more heavily influenced by job satisfaction and job stress than fatigue. Therefore, efforts are needed to reduce job stress and fatigue, as well as to improve job satisfaction to reduce the degree of turnover intention among dental hygienists.

• Journal of the Korean earth science society
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• v.36 no.6
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• pp.580-590
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• 2015

The purpose of this study was to investigate the correlation among science gifted students' self-reported knowledge and self-perceived importance about Earth systems, and their science motivation. Ninety three seventh graders participated in this study who enrolled at Science Gifted Institute of K university. The correlation was measured by a validated Earth systems survey and Science Motivation Questionnaire (SMQ). The data were analyzed at the margin of error probability 0.05 using correlation and regression analysis. The result of reliability for items turned out high because the Cronbach's alphas were .896~.937. Results indicated that the correlation between self-reported knowledge on Earth systems and science motivation showed a correlation coefficient .656, whereas the correlation between importance on Earth systems and science motivation was .387, which was regarded as low. On the other hands, the result of regression analysis depicted that non-std. coefficients between students' self-reported knowledge about Earth systems and science motivation were .548 (.077), which lead to the conclusion that students' knowledge on Earth systems explained 43% of science motive-variation. It implied that Earth systems education program could impact the increased motivation of science gifted-students. Therefore, this study suggests that the various Earth systems education programs could be developed and implemented in order to increase students' motivation on studying science in general and Earth science in specific.

• Journal of Environmental Impact Assessment
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• v.24 no.5
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• pp.516-531
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• 2015

In this study, a software module to predict the effectiveness of vegetation buffer strip (VBS) has been developed for using with Chemicals, Agricultural Management and Erosion Losses (CAMEL), a distributed watershed model. Most basic functions for the VBS module are same as CAMEL except functions newly developed to implement sedimentation enhancement by vegetation and level spreaders. For verification of the VBS module, sensitivity analyses for length, roughness, soil and vegetation type of VBS were carried out using a test grid cell. The surface discharge of sediment are highly sensitive to the roughness coefficient of VBS. The removal efficiencies of VBS for the surface discharges of sediment and TP are generally high regardless of environment changes. The surface discharges of TOC and TN are highly sensitive to the length and soil of VBS. The removal efficiencies of VBS for the surface discharges of TOC and TN are generally lower than those of sediment and TP. The newly developed VBS module reasonably simulates the removal efficiencies of surface discharges that vary according to the environment changes. It is expected that this VBS module can be used for evaluating the effectiveness of VBS-based best management practices to be applied to reduce pollution discharges from various non-point sources.

• Journal of Environmental Impact Assessment
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• v.22 no.5
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• pp.455-466
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• 2013

The aim of this study is to seek application plans of National Ecosystem Survey database based on comparison and examination of feasible analysis methods for distribution characteristics of alien plants. In order to set up a correlation analysis method between alien plants and environmental factors, we had reviewed the 3rd National Ecosystem Survey guide book and consequently, two kinds of analysis method were tested. One was 1/25,000 scale map boundary based analysis and the other was representative mountain area based analysis. In this study we restricted the research area to select reliable surveyed database from whole "2011 National Ecosystem Survey flora database" according to two major criteria. First, an area defined by 1/25,000 scale map boundary and representative mountain area where the number of surveyed flora records should be within top 20%. Second, land cover map should also be built up inside that area. As a result, 25 map boundaries and 25 representative mountain areas were extracted to be analyzed. To limit a boundary for every representative mountain area we had analyzed distribution of environmental factors around that area by manual inspection with SPOT-5 remote sensed satellite image then designated 3km buffer zone from each alien plant location in that area. After then, naturalized index (NI) and urbanized index (UI) was calculated and correlations analysis was carried out. With the result of correlation analysis by map boundary only agricultural land area showed significant value of r (0.4~0.6, correlated) and the rest of factors did not. In the case of representative mountain area, the result showed that agricultural land, road and forest area showed significant value of r (0.6~0.8, highly correlated) which was corresponding to existing researches. Therefore, representative mountain area based method is preferable when using the alien plants database of National Ecosystem Survey for species distribution analysis. And also, considering the way of database utilization is strongly suggested at the first stage of survey planning for promoting active use of national ecosystem survey database.

• Journal of Korean Society on Water Environment
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• v.23 no.6
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• pp.897-905
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• 2007

Approximately 70% of Korea is composed of forest areas. Especially 48% of agricultural field is practiced at highland areas over 400 m in elevation in Kangwon province. Over 90% of highland agricultural farming is located at Kangwon province. Runoff characteristics at the mountainous area such as Kangwon province are largely affected by steep slopes, thus runoff estimation considering field slopes needs to be utilized for accurate estimation of direct runoff. Although many methods for runoff estimation are available, the Soil Conservation Service (SCS), now Natural Resource Conservation Service (NRCS), Curve Number (CN)-based method is used in this study. The CN values were obtained from many plot-years dataset obtained from mid-west areas of the United States, where most of the areas have less than 5% in slopes. Thus, the CN method is not suitable for accurate runoff estimation where significant areas are over 5% in slopes. Therefore, the CN values were adjusted based on the average slopes (25.8% at Doam-dam watershed) depending on the 5-day Antecedent Moisture Condition (AMC). In this study, the CN-based Long-Term Hydrologic Impact Assessment (L-THIA) direct runoff estimation model used and the Web-based Hydrograph Analysis Tool (WHAT) was used for direct runoff separation from the stream flow data. The $R^2$ value was 0.65 and the Nash-Sutcliffe coefficient value was 0.60 when no slope adjustment was made in CN method. However, the $R^2$ value was 0.69 and the Nash-Sutcliffe value was 0.69 with slope adjustment. As shown in this study, it is strongly recommended the slope adjustment in the CN direct runoff estimation should be made for accurate direct runoff prediction using the CN-based L-THIA model when applied to steep mountainous areas.

• Journal of Korea Water Resources Association
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• v.47 no.3
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• pp.257-267
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• 2014

The impact of the combination of changes in temperature and rainfall due to climate change on surface water resources is important in hydro-meteorological research. In this study, 4 hydro-meteorological (HM) models from the Rainfall Runoff Library in the Catchment Modeling Toolkit were used to model the impact of climate change on runoff in streams for 5 river basins in the Republic of Korea. Future projections from 2021 to 2040 (2030s), 2051 to 2070 (2060s) and 2081 to 2099 (2090s), were derived from 12 General Circulation Models (GCMs) and 3 representative concentration pathways (RCPs). GCM outputs were statistically adjusted and downscaled using Long-Ashton Research Station Weather Generator (LARS-WG) and the HM models were well calibrated and verified for the period from 1999 to 2009. The study showed that there is substantial spatial, temporal and HM uncertainty in the future runoff shown by the interquartile range, range and coefficient of variation. In summary, the aggregated runoff will increase in the future by 10~24%, 7~30% and 11~30% of the respective baseline runoff for the RCP2.6, RCP4.5 and RCP8.5, respectively. This study presents a method to model future stream-flow taking into account the HM model and climate based uncertainty.

• Journal of Environmental Impact Assessment
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• v.24 no.2
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• pp.154-162
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• 2015

Correlation between occupational exposure levels to toluene and urinary hippuric acid (HA) concentrations were studied for 124 workers at 54 work places. The highest indoor toluene concentration measured at printing process was 81.116 ppm, and their geometric average concentration was as high as 12.304 ppm. The geometric average concentration of hippuric acid in urine samples from workers who are exposed to toluene was 0.714 g/g creatinine. This is almost five times higher than the average HA concentration from non-exposure workers. Printing workers showed the average HA concentration of 1.145 g/g creatinine from their urine samples. It is the highest concentration among the workers exposed to toluene. The correlation coefficient between HA concentrations in urine and indoor toluene concentration at work places was relatively high as r=0.624 (P<0.01). But the correlations of HA with sex, smoking, drinking, age and employment history was relatively low. We can express the regression equation for the urinary HA concentration which is Y = 0.037X + 0.562 as exposure toluene concentration is X. The urinary HA concentrations showed significantly increase depend on indoor toluene concentration at work place.

• Journal of Environmental Impact Assessment
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• v.24 no.2
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• pp.111-118
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• 2015

This study was conducted for the establishment of statistical method to determine the representative air quality monitoring station representing long-term ozone trends of Seoul. In this study, hourly ozone concentrations from 2002 to 2011 were used for further analysis. KZ-filter, correlation matrix, cluster analysis, and Kriging method were applied to select the representative station. The analysis based on correlation matrix found that long-term trend of ozone concentrations measured at Sinjung, Sadang, and Bun-dong showed a high correlation. The cluster analysis found that the former three stations belonged to the same cluster. The analysis based on Kriging method also showed that the former three stations were highly correlated with other stations in spatial distribution. Considering these results and the highest correlation coefficient of Sinjung station, the Sinjung station was the most suitable as the representative station used to understand the long-term ozone trend of Seoul. This result could be applied to understand long-term trend of other pollutants. Furthermore, this result can also be used to assess the appropriacy of spatial distribution of national air quality monitoring stations.