• Journal of Korean Society for Atmospheric Environment
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• v.32 no.4
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• pp.394-407
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• 2016

The spatial air pollution distribution of the Ulsan metropolitan region (UMR) was analyzed using monitoring data and high-resolution numerical simulations. A three-year (2011~2014) analysis for the average concentrations from the 13 air quality monitoring sites in the UMR showed that $SO_2$ and $PM_{10}$ levels in industrial regions were much higher than those in other regions, whereas spatial differences of $NO_2$ and CO concentrations were not significant. In particular, elevated $O_3$ concentrations were clearly found at urban sites near petrochemical complex area. Results from high-resolution simulations by CMAQ model performed for four months of 2012 showed large spatial variations in grid-average pollutant concentrations between industrial areas and other areas in the UMR, which displayed significant changes with wind pattern by season. It was noted that the increases of $SO_2$ and $PM_{10}$ levels were limited in costal industrial areas or over the area nearby the sea in all seasons. Modeled $O_3$ concentrations were quite low in industrial areas and main urban roads with large $NO_x$ emissions. However, the model presented that all pollutant concentrations were significantly increased in the urban residential areas near the industrial complexes in summer season with increase of southerly wind.

• Industrial Engineering and Management Systems
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• v.13 no.3
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• pp.297-303
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• 2014

Stock pre-positioning is one of the most important decisions for preparing the stage of emergency logistics planning. In this paper, a mixed integer model for stock pre-positioning is derived to support an emergency disaster relief response against the event of earthquake. A maximum response time limit, budget availability, multiple item types, and capacity restrictions are considered. In the model, the decision of the distribution centers to cover a disaster area and the amount of supplies to be stocked in each distribution center are simultaneously determined to maximize the total expected relief demand of the disaster areas covered by the existing distribution centers. The proposed model is applied to a real case with 33 disaster areas and 16 distribution centers in Indonesia. Several sensitivity analyses are conducted to estimate the fluctuation on the emergency stock pre-positioning planning by changing the maximum response time and budgets.

• Journal of Environmental Science International
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• v.17 no.5
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• pp.525-535
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• 2008

5 public complaint areas against odor in Changwon Industrial Complex were selected and investigated to clear up the cause of the complaint. 16 companies operated in public complaint areas were visited and had a grip of their situation about odor generation and treatment. Two samples at it's site boundary of each company were taken to measure complex odor unit. Complex odor unit at the site boundary of investigated companies in the public complaint areas, for the most part, exceeded standard(odor unit 20) in industrial area. It was due to that this area was not designated as odor control region and that there are also many problems in current laws of Odor Protection Act, Air Quality Act and regional legislation. Accordingly, It will be necessary to revise the related legislation, to organize governance, to financially support the improvement of environmental facilities and to enforce guidance and the regulation rigidly for the odor emission reduction in Changwon Industrial Complex.

• The Korean Journal of Community Living Science
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• v.21 no.4
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• pp.539-550
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• 2010

In this study, the living standard and satisfaction level of urban people who moved to rural areas researched. Through these criteria, we could analyze people's perceptions of the current rural life. We would like to present this study as a base for improvement for those who seek a better life in a rural environment. The result of this study is as follows; The specific goals and need of our target group depend on individual characteristics, occupation and age etc. Therefore, the support system should sensibly consider their personal needs. In addition to this, the flow of information between these people should be changed from theoretical perspective to factual perspective. The new rural tenants obtained information on rural life mostly from private channels such as their acquaintances. Organizations responsible for providing information do not offer useful factual information on agrotechnology and financial support. Nevertheless, they are mainly focused on conceptual and ideological information.

• Journal of the Economic Geographical Society of Korea
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• v.8 no.1
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• pp.1-16
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• 2005

Literature on cluster theory and cluster policy has been focused on the differences between mature industrial areas and innovative regions. Mature industrial areas are described as possessing little competence for innovation and lacking entrepreneurship to be transferred an innovative region, say, an innovative cluster. Old industrial regions are, however, rich in social capital, local networking, and regional institutionalization. This paper compares Buchon's mature industries with Daejon's bio-sector new start-ups in terms of innovative potential, socio-economic and cultural-economic mechanisms. Policy implications such as networking and business support systems on the differential types of industrial regions are offered.

• Journal of Climate Change Research
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• v.7 no.1
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• pp.69-75
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• 2016

Recently, many countries all over the world have been suffered from disaster caused by climate change. Especially in case of developed countries, the disaster is concentrated in the industry sector. In this research, we analyzed industrial vulnerable homogeneous hotspot for the climate change using spatial autocorrelation analysis on the south Korea. Homogeneous hot spot areas through autocorrelation analysis indicate the spatial pattern of areas interacted each other. Industry sector have responsibility of green house gas emissions, and should adapt to the climate change caused by greenhouse gas already released. So, we integrated the areas sensitive to mitigation option with the areas hardly adapt to climate change because of vulnerable infrastructure. We expected that the result of this research could contribute to the decision-making system of climate change polices.

• Journal of Korean Society for Atmospheric Environment
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• v.16 no.1
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• pp.23-35
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• 2000

PM10, which is below 10 ${\mu}{\textrm}{m}$ in a diameter, has a high deposition in the lung or the bronchus by breathing and is generally composed of a lot of organic matters, viruses, algae, mold, and metallic elements that are very toxic to people. This study identified the characteristics of concentration of PM10 and air-borne jmetallic elements produced in the industrial city, Ulsan, and analyzed the correlatuion between sources and generation patterns of PM10 and metallic elements. We classified the five areas(green, residential, heavy traffic, mechanic, and petrochemcal and non-ferrous metal) which might have different characteristics of sources of PM10 and metallic elements. The average concentrations of PM10 in the five areas were as follows(petrochemical and non-ferrous metal(99.9$\mu\textrm{g}$/㎥)>mechanic(77.5 $\mu\textrm{g}$/㎥)>heavy traffic(47.1 $\mu\textrm{g}$/㎥)>residential(39.3 $\mu\textrm{g}$/㎥)>green(32.8 $\mu\textrm{g}$/㎥)). Those of petrochemical and non-ferrous metal areas were higher than other areas. In this study, the average concentration trend of metallic elements contained in PM10 are shown as follows: Fe>Zn>Pb>Cu>Mn>Cr>As>Cd>Sn>Hg, respectively. The metallic elements identified in PM10 showed the highest concentration in the petrochemical and non-ferrous areas. Metal combinations showed that a high correlation among concentrations of heavy metals were as follows: As, Cd and Fe in the residential area; Zn, Mn, Cu and Pb in the mechanical area; and Zn, Cu, As, Pb in the petrochemical and non-ferrous industrial area.

• Journal of Korean Society of Rural Planning
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• v.23 no.1
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• pp.97-112
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• 2017

Stability of labor market in rural areas was analyzed in this paper with categories of industrial group, employment scale, surviving period, and founder group. The stability of each classified labor market was compared with each other to figure out the stable business class and the unstable class in rural areas. The results of rural areas were compared with those of urban areas. The stability was analyzed with average and coefficient of variation (C.V.) of annual total employees' change rates. It was revealed that labor market of 'primary industry', including agriculture, is unstable. Especially, labor market of 'mid-size' and 'primary industry' businesses founded as 'incorporated company' in rural areas is vulnerable. While labor market of 'large-size' is proved to be unstable, it is confirmed that 'small-size' or 'mid-size', and 'over-ten-year survived' businesses have positive contribution to the stable labor market in rural and urban areas. The results show that the stability of labor market is different in each category of business and in each region of rural or urban area. It is expected that the results can be utilized for the regional development policies, of labor and industry part.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.27 no.4
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• pp.49-58
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• 2004

The R&D investment of Korean government has been concentrated into 6T areas-IT(Information Technology), BT(Bio-Technology), NT(Nano Technology), ET(Environment & Energy Technology), ST(Space Technology) and CT(Culture & Contents Technology) - for a couple of years. By this selection and concentration strategy, patent applications are on an increasing trend in these areas. This paper examined the trends of patent application in 6T areas. To do this, this paper classified each technology area into the detail technology area with the valid number of patent applications. According to the result, the analysis data will be used to make R&D budget appropriation of the government.

• Korean Journal of Occupational Health Nursing
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• v.28 no.2
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• pp.75-82
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• 2019

Purpose: This study aimed to determine the influence of injury and/or injured area classification on depression in patients with industrial injuries. Methods: The participants comprised438 patients who consented to participate and completed self-reported questionnaires. Data were analyzed using SPSS/WIN version 22.0 for descriptive statistics, $x^2$ test, fisher's exact test, ANOVA, and post-hoc $Scheff{\acute{e}}$ test. A stepwise multiple regression analysis was used to identify factors influencing depression. Results: The results indicated that the effect of disease classification and injured areas on depression were significantly different in patients with industrial injuries. The results further showed that severe depression was significantly higher in cardiovascular patients and patients with an injured area of the head and waist. The most powerful predictor was age (50~59 years), return to work (reemployment), disease classification (cardiovascular), and injured area (head, including vascular disease). Conclusion: This study showed that the most influential variable of depression in patients with industrial injuries were cardiovascular issues, injury areas of the head and waist, being aged 50~59 years, and reemployment. To reduce depression in these patients, it is important to develop and implement a psychiatric rehabilitation program that helps patients to formulate a concrete plan and goal for recovery, enabling patients to actively engage in their rehabilitation.