• The Korean Journal of Ecology
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• v.21 no.5_1
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• pp.449-456
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• 1998

This study was carried out to investigate the characteristics of acid deposition by stemflow, throughfall, rainfall and $SO_{2}$ in the industrial, urban and rural areas where were affected by the acid rain areas air pollution in Pinus thunbergii than Quercus spp. forest. As the stemflow pH in industrial and urban area were lowed that of rural area, the result industrial and urban, and correlation of negative ($r=-0.9415^{**}$) between pH and EC. The concentration of acid ion by stemflow, throughfall, rainfall were high $SO_{4}^{2-}$ ion at industrial areas, especially of $NO_{3}^{-}$ ion at urban areas. The concentration of basic ion all rain fall were high $Ca^{2+},\;Na^{+}$ ion at industrial areas, but there were high $Ca^{2+}$, $Na^{+}$ ion at urban areas. The concentration of $SO_{2}$ at survey areas were high $SO_{2}$ concentration at industrial and urban areas, but there was low at rural areas. There was correlation of negative ($r=-0.8007^{**}$ between pH and $SO_{2}$ concentration at survey areas. Soil acidity was also affected by stemflow and showed sigificantly low pH in industerial and urban areas.

• Journal of the Korean Association of Geographic Information Studies
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• v.22 no.1
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• pp.129-139
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• 2019

Mapping urban areas using the earth observation satellites is useful for monitoring urban expansions and measuring urban developments. In this research, the different thresholds for detecting the urban areas separately from the remote-sensing index images (normalized-difference built-up index(NDBI) and urban index(UI) images) generated from the Landsat-8 image acquired in Daegu, South Korea were evaluated through the following steps: (1) the NDBI and UI images were separately generated from the given Landsat-8 image; (2) the different thresholds (-0.4, -0.2, and 0) for detecting the urban areas separately from the NDBI and UI images were evaluated; and (3) the accuracy of each detected urban area was assessed. The experiment results showed that the threshold -0.2 had the best performance for detecting the urban areas from the NDBI image, while the threshold -0.4 had the best performance for detecting the urban areas from the UI image. Some misclassification errors, however, occurred in the areas where the bare soil areas were classified into urban areas or where the high-rise apartments were classified into other areas. In the future research, a robust methodology for detecting urban areas, including the various types of urban features, with less misclassification errors will be proposed using the satellite images. In addition, research on analyzing the pattern of urban expansion will be carried out using the urban areas detected from the multi-temporal satellite images.

• Journal of the Korean Institute of Educational Facilities
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• v.26 no.3
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• pp.25-32
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• 2019

Current, integrated schools are small schools in rural areas and old towns with declining population, or special purpose middle and high schools. And new residential districts in urban areas including Seoul have also been established in integrated schools. In particular, the number of school of central investment evaluation for integrated schools in urban areas is increasing. In this way, integrated schools, which have been mostly implemented in small rural areas, are being introduced as new ways to establish schools in urban housing development areas where the number of students is small or the number of students is difficult to predict. However, many studies of integrated school have been limited to appropriate scaling of small schools in rural areas, school management methods, and satisfaction surveys. The study of integrated school in urban areas is also focused on the study of architectural planning. In addition, there were limitations in suggesting the comprehensive establishment plan of schools or approaching urban planning when developing housing complexes. The purpose of this study is to suggest efficient establishment plan of integrated school in the development of urban housing complexes.

• Korean Journal of Community Nutrition
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• v.3 no.2
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• pp.228-244
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• 1998

The nutritional status of 362 elderly men and women in Chung-bud area was evaluated in terms of their nutrient intakes, biochemical and anthrophometric measurements by interviews with questionnaires from August to October 1996. Mean intake of all nutrients except ascorbic acid did not meet the RDA for this sample. Protein, vit A, reboflavin, calcium were the most likely to be deficient on the basis of propotions of elderly consuming less than 75% of the RDA. The subjects nutrient intake was significantly affected by gender, marital status, number of family, family composition, educational level, pocket money, and region. Men in rural areas and women over 75 in urban areas were the most vulnerable groups with nutritional deficiency. According to serum biochemical indices, mean level of cholesterol, triglycerides, LDL, total protein, albumin and iron belonged to normal range but mean level of HDL showed below the normal range. More elderly men and women in urban areas showed a higher percentage of abormal level of cholesterol, triglycerides, LDL and HDL than those in rural areas. More elderly men and women in rural areas had abnormal levels of RBC, Hematocrit and hemoglobin compared to those in urban areas. Mean height and weight of elderly men was 161.4cm and 56.2Kg, respectively and 149.1cm and 50.5kg for women. The elderly in rural areas were taller than those in urban areas but had less weight, MAC, TSF, MAMC. Mean BMI of this sample belonged to normal range. However, the elderly in rural areas had a higher rate of underweight and lower for overweight than those in urban areas. The elderly in urban areas had higher blood pressure than those in rural areas.

• Research in Community and Public Health Nursing
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• v.16 no.1
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• pp.13-22
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• 2005

Purpose: The purpose of this study is to compare health promotion behavior and influencing factors between aged women of rural areas and urban areas, to investigate factors affecting their behavior, and to provide the primary data for developing heath enhancing program that is appropriate for the population. Method: A survey was conducted on 221 aged women 100 from urban areas and 121 from rural area. The data were collected through a questionnaire and interview. Descriptive statistics, ANOVA and multiple stepwise regression were found by using SPSS PC Win. Package. Result: There were significant difference of factors relating health promotion behavior in Pender model between the aged women in urban areas and rural areas, urban women showed higher scores in factors such as previous heath relating behavior, perceived confidence, self-efficacy, social support, satisfaction with marriage, situational influence, and behavioral plan involvement, while rural women showed higher scores in the factors of fixed idea regarding gender role, perceived disabled feeling, and activity related emotions. At the subscale of HPLP, interpersonal relation, nutrition, health responsibility, stress management, spiritual growth of rural group was lower than urban group. With the multiple stepwise regression analysis, commitment to a plan of action, social support, activity related affect, self efficacy were proved to be significant to urban group, while commitment to a plan of action. activity related affect, social support, sex-role stereotype were proved to be significant to rural group statistically. Conclusion: There were differences of health promotion behavior and influencing factors between aged women in urban areas and rural areas and women in rural areas were found to have more weakness than women in urban areas. With the results, it is concluded that health promotion programs for aged woman should be designed differently between urban and rural area regarding the factors affecting health promotion behaviors.

• Journal of Korean Society of Rural Planning
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• v.26 no.3
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• pp.103-113
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• 2020

Land price can be affected by convenience or psychological repulsion like PIMFY (Please In My Front Yard) or NIMBY (Not In My Back Yard) for various facilities. The purpose of this study is to evaluate whether non-preferred facilities are related to NIMBY impact that negatively affect land prices using the spatial econometrics models which are spatial autoregressive models (SAR), spatial errors models (SEM), and general spatial model (SAC). The land price in urban area increases by 0.07-0.2% when the distance from aversion facilities increases by 1%. However, the land price in rural areas decreases when the distance from aversion or pollution facilities increase. Therefore, these facilities in rural areas located in the areas with higher land price because funeral homes located in center of rural administrative areas and charnel house or crematorium located in the fringe of urban areas. That is, this study explain the difference between land price and non-preferred facilities in urban and rural areas and why there are more N IMBY symptoms in urban areas.

• Journal of Korean Society on Water Environment
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• v.24 no.5
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• pp.543-549
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• 2008

Human activities and land-use practices are intensely widening the urban areas. High impervious surface areas cover much of urban landscapes and are the primary pollutant sources which can lead to water quality and habitat degradation in its watershed. As the urban areas expand, transportation land-use such as parking lots, roads, service areas, toll-gates in highways and bridges also increase. These land-uses are significant in urban pollution due to high imperviousness rate and vehicular activities. To regulate the environmental impacts and to improve the water quality of rivers and lakes, the Ministry of Environment (MOE) in Korea developed the Total Pollution Load Management System (TPLMS) program. The main objective is to lead the watershed for a low impact development. On a local scale, some urban land surfaces can be emitting more pollution than others. Consequently, in urban areas, the unit loads are commonly employed to estimate total pollutant loadings emitted from various land-uses including residential, commercial, industrial, transportation, open lands such as parks and golf courses, and other developed land like parking areas as a result of development. In this research, unit pollutant loads derived specifically from transportation land-uses (i.e. branched out from urban areas) will be provided. Monitoring was conducted over 56 storm events at nine monitoring locations during three years. Results for the unit pollutant loads of transportation land-use are determined to be $399.5kg/km^2-day$ for TSS, $12.3kg/km^2-day$ for TN and $2.46kg/km^2-day$ for TP. The values are higher than those of urban areas in Korean MOE and US highways. These results can be used by MOE to separate the pollutant unit load of transportation landuses from urban areas.

• Journal of Korean Elementary Science Education
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• v.35 no.2
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• pp.243-252
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• 2016

The purpose of this study was to analyze affective characteristics and the demands of elementary science gifted students on gifted educations in urban and rural areas. The subjects were 196 science gifted students. The survey questionnaires were consisted of self-esteem, interests in science, scientific attitudes, and demands regarding gifted classes. The results of this study were as follows. First, self-esteem and interests in science, particularly interests toward science, toward science learning, toward science related careers, in urban gifted students were higher than those in rural areas. Whereas interests toward science activities and science anxiety of science gifted students in rural areas were significantly higher than those in urban area. Furthermore, scientific attitudes of science gifted students in urban area were higher than rural those in open-mindedness, critical-mindedness, voluntariness, creativity, whereas science gifted students in rural areas were higher than urban those in cooperation. Second, for the analysis on demands regarding class contents and methods, 'teaching content that challenges and exciting stimuli' of science gifted students in rural areas were significantly higher than those in urban area. Third, for the analysis on demands regarding educational environments, 'satisfaction with class materials provided by gifted classes' of gifted students in urban area were higher than those in rural area.

• Journal of the Korean housing association
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• v.10 no.4
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• pp.23-30
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• 1999

This study has been performed to analyze impacts of urban vs rural residence on later life. In this study, 329 Koreans aged 60 or more were interviewed for their current sociodemographic status and daily life styles. The results are drawn as follows: 1. There is no regional impact on birth order; rate of those born as the first child was not significantly different over regions. 2. For the household composition, the rate of three generations was significantly higher in rural areas than in urban areas. 3. More than 85% of the subjects lived in owned homes in rural areas, while 77% did in urban areas. 4. More than 89% of the subjects lived in single-structured homes in rural areas, while only 45% did in urban areas. The results indicate that in planning public housing for the aged, more social spaces accommodating grandchildren and ownership units need to be allocated for rural facilities. In addition, it is recommended that daily activity schedules need to be differentiated so that rural residents have meals and houseworks earlier than urban residents.

• Journal of Korean Academy of Rural Health Nursing
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• v.1 no.1
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• pp.11-20
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• 2006

Purpose: To compare of health inequalities between rural and urban areas in term of health status, health behaviors and medical care utilization by using national-wide data. Method: The data came from the 2000 and 2005 census data, 2004 death certification statistics and 2001 national health and nutrition survey. The health indicators used in this study were mortality, perceived health status, health related behaviors, morbidity, accidents and suicides, mental health-related factors, health care accessibility. Korean rural areas have been experiencing a rapid aging process and there are demographic differences between rural and urban populations. Thus, both of crude rates and age-adjusted rates were compared. Result: Although the degrees decreased after adjustment for age, health inequalities between areas still existed. The people who lived in rural areas suffer from higher mortality, morbidity and unhealthy behavior compared to people in urban areas. Especially, regional health inequalities for women were significant. Health care accessibility in rural areas was also lower and medical indirect costs for rural residents were higher than those of urban residents. Conclusion: To reduce health inequalities between geographical areas, political efforts to tackle health inequalities in the rural areas are required.