Vulnerability Assessment of Human Health Sector due to Climate Change: Focus on Ozone (기후변화에 따른 보건 분야의 취약성 평가: O3을 중심으로)
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- Journal of Korean Society for Atmospheric Environment
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- v.28 no.1
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- pp.22-38
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- 2012
Adaptation of climate change is necessary to avoid unexpected impacts of climate change caused by human activities. Vulnerability refers to the degree to which system cannot cope with impacts of climate change, encompassing physical, social and economic aspects. Therefore the quantification of climate change impacts and its vulnerability is needed to identify vulnerable regions and to setup the proper strategies for adaptation. In this study, climate change vulnerability is defined as a function of climate exposure, sensitivity, and adaptive capacity. Also, we identified regions vulnerable to ozone due to climate change in Korea using developed proxy variables of vulnerability of regional level. 18 proxy variables are selected through delphi survey to assess vulnerability over human health sector for ozone concentration change due to climate change. Also, we estimate the weighting score of proxy variables from delphi survey. The results showed that the local regions with higher vulnerability index in the sector of human health are Seoul and Daegu, whereas regions with lower one are Jeollanam-do, Gyeonggi-do, Gwangju, Busan, Daejeon, and Gangwon-do. The regions of high level vulnerability are mainly caused by their high ozone exposure. We also assessed future vulnerability according to the Intergovernmental Panel on Climate Change (IPCC) Special Report on Emissions Scenarios (SRES) A2, A1FI, A1T, A1B, B2, and B1 scenarios in 2020s, 2050s and 2100s. The results showed that vulnerability increased in all scenarios due to increased ozone concentrations. Especially vulnerability index is increased by approximately 2 times in A1FI scenarios in the 2020s. This study could support regionally adjusted adaptation polices and the quantitative background of policy priority as providing the information on the regional vulnerability of ozone due to climate change in Korea.
Increasing concern for the health, well-being, and income of the people has expectedly brought continuous increase in the industrial value of medicinal plants in recent years as these are also used in foods and cosmetics. However, Korea's increased import of these products from China due to the FTA contract causes negative effects on its industrial value. In this regard, various measures for medicinal crop seed development and production, organization and expansion of circulation and forest land use deregulation are needed to promote the agricultural food industry including medicinal plants. As a measure, first, a database of medicinal plants should be built that can help to promote the national medicinal industry and the seed management system. Second, agricultural productivity should be enhanced via the development and supply of varieties of high quality medicinal plants. Third, there should be a good practice of the system maintenance for the production and supply of medicinal crop seeds. Fourth, production and distribution system of medicinal plants should be established by standardization of high quality seeds. Nowadays, the consumption pattern of medicinal crops is changing from direct ingestion to cosmetics, drugs, and food and this is expected to increase continuously. Consequently, the increased production of medicinal crops will support the development policy and the institutional improvement in response to this trend of the positive change of industrialization.
This study was conducted to identify factors related to subjective happiness Index and by analyzing students, health behavior, smart phone addiction, suicidal Ideation, and in order to develop appropriate measure tp prevent suicide among university students. Methods: From November 19, 2012 until December 14, 2012, 300 college students from one of the iniversities located at K city were surveyed. Data were analyzed using with SPSS window 18.0. Results: The mean score for college students' subjective happiness Index was 4.58 on a scale of 7. There were significant differences on the Subjective happiness Index for the following areas: sex, parental survival & living and household monthly income. There was a negative correlation among the subjective happiness Index, smart phone addiction, suicidal Ideation. Conclusion: Results indicate that factors influencing Subjective happiness are smart phone addiction, suicidal ideation. We suggest that need to establish policies providing family support, smartphone addiction prevention program suicide prevention program to improve a level of happiness.
Purpose - Despite the importance of price, many companies do not implement pricing policies smoothly, because typical price management strategies insufficiently consider logistics efficiency and an increase in logistics costs due to logistics waste. This study attempts to examine the effect of product line pricing, which corresponds to product mix pricing, on logistics efficiency in the case of manufacturer A, and analyzes how logistics performance changes in response to these variables. Research design, data, and methodology - This study, based on the case of manufacturer A, involved research through understanding the current status, analyses, and then proposing improvement measures. Among all the products of manufacturer A, product group B was selected as the research object, and its distribution channel and line pricing were examined. As a result of simulation, for products with low loading efficiency, improvement measures such as changing the number of bags in the box were suggested, and a quantitative analysis was conducted on how these measures influence logistics costs. The TOPS program was used for the Pallet loading efficiency simulation tool in this study. To prevent products from protruding out of the pallet, the maximum measurement was set as 0.0mm, and loading efficiency was based on the pallet area, and not volume. In other words, its size (length x width) was focused upon, following the purpose of this study and, then, the results were obtained. Results - As a result of the loading efficiency simulation, when the number of bags in the box was changed for 36 products with low average loading efficiency of 73.7%, as shown in