• Journal of Korean Society of Environmental Engineers
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• v.38 no.10
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• pp.558-565
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• 2016

Water quality data including flow rates and BOD/COD/T-N/T-P/SS/TOC concentrations in Nakdong river tributaries were analyzed to determine priority management areas using 699 data sets from 195 locations in 2015. It was pointed out that the coefficients of variation, the ratio of the standard deviation to the mean, for the concentrations and loading rates of BOD, T-P, and TOC in each monitoring location were so large that average values of water quality monitoring data might be not appropriate to determine the priority management areas among all 195 monitoring stations in Nakdoing river. Therefore we suggested two evaluation methods using each water quality data independently. In the first method the excess numbers of the BOD, T-P, and TOC concentrations comparing to the water quality standards in the medium-sized management areas in Nakdong river was evaluated for each monitoring station. In the second method the percentile ranks of the loading rates of the BOD, T-P, and TOC were obtained for each monitoring data. The two groups of the priority management areas determined by each method were compared and the water quality characteristics in Nakdoing river were investigated.

• Korean Journal of Social Welfare
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• v.69 no.2
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• pp.117-141
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• 2017

The purpose of this study is to investigate the differences of the factors affecting the entry of depression by generations and to present a practical strategy for preventing of depression by life-cycle. For this purpose, we analyzed the factors influencing the depression of adults, middle-aged and elderly people through the discrete-time hazard model. The results of this study are as follows: First, the lower the self-esteem, the lower the income satisfaction and the family satisfaction people have, the higher the likelihood of entering the depression they have. In addition, age, educational level, health status, presence of chronic diseases, employment status, regional area, and leisure life satisfaction were variables that showed difference by generation. In the case of adulthood(aged 20 ~ 39), unemployed persons are more likely to enter the depression than younger workers. On the other hand, the middle-aged(40 ~ 64 year olds) are more likely to enter the depression if they are older, have poor health status, have no chronic disease, and have low leisure satisfaction. Finally, older people(aged 65 and over) are more likely to enter the depression when the education level is higher, the health condition is worse, and the leisure satisfaction is lower. If they lived in an urban and rural complex, they are more likely to enter the depression. Based on these results, it is necessary to establish a support plan reflecting the characteristics revealed by generations in order to prevent the entry of depression.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.467-467
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• 2021

기존 저수지 농업용수는 주로 논의 벼재배 용수공급을 목적으로 설계되었지만, 논 지역 타작물 재배 지원 등의 정책으로 논에서 밭으로 전작화가 증가함에 따라 농업용수의 효율적 분배를 위한 논의 전작화 패턴 분석이 필요한 실정이다. 이에 본 연구에서는 공공데이터 포털의 2019년 팜맵을 활용하여 최신 경지 현황을 파악하고, 환경부의 2007년, 2019년 토지피복지도를 이용하여 전작화 패턴을 분석하였다. 구축된 팜맵과 토지피복지도는 환경부 토지피복분류 기준 농업지역 중분류로 일치시켜 분석에 활용되었다. 논, 밭, 시설재배지 등의 농경지 이용 현황 및 전작화 추이는 전국 단위, 권역 단위로 분석되었고, 주요 시도와의 공간적 거리를 전작화 영향인자로 설정하여 DUP(Degree of Urban Proximity) 등의 지표로 그 영향을 확인하였다. 또한, 전체 경지 중 논, 밭의 면적과 증감 추이를 ACR(Area Change Rate) 등의 지표로 전작화 규모를 파악하였고, LPI(Largest Patch Index), LSI(Landscape Shape Index) 등의 지표로 개별/집단화 전작의 패턴분석을 수행하였다. 본 연구로 제시된 저수지 수혜 구역별 논의 전작화 패턴은 논 벼재배와 농업용수 수요 특성이 상이한 밭작물에 안정적 용수공급 체계 구축 등의 기초자료로 활용 가능할 것으로 생각된다.

• Journal of the Korean Institute of Landscape Architecture
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• v.47 no.6
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• pp.37-44
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• 2019

This study was conducted to identify the distribution characteristics of small village wetlands in Geumsan County, an inland mountain zone, and comparing with Seocheon County, a coastal plain area with different ecological environment characteristics. Using Arc-GIS (v10.1) the village wetland code was extracted to derive the possible location of the village wetland, and the final distribution of the village was obtained by performing indoor judging work based on satellite images, aerial photographs, topographical maps, Korea Land Information System (KLIS), land use level, land cover degree (division), and land use status by local surveying and indoor analyzing. Although Geumsan County (576.66km2) is more than 60% larger than Seocheon County (358.04km2), 607 villages in Geumsan County and 570 villages in Seocheon County are capable of making similar levels of 106.5% of wetlands, but only a fraction of those in Seocheon County were found to be 67.6%. The density of the village wetlands was much lower than that of Seocheon County, a coastal plain area, because there were many mountainous areas in Geumsan County, and most of the wetlands temporarily created for water supply were removed during the analysis phase of the Jeongsa Image, so the actual wetlands of the village were judged to be only two-thirds different from those of Seocheon County.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.31 no.1B
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• pp.13-20
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• 2011

The spatio-temporal pattern in precipitation is a significant element in defining characteristics of precipitation. In this study, a new scheme on regionalization utilizing temporal information was introduced on the basis of existing approaches that is mainly based on simple moments of data and geographical information. Given the identified spatio-temporal pattern, this study was extended to characterize regional pattern of annual maximum rainfall over Korea. We have used circular statistics to characterize the temporal distribution on the precipitation, and the circular statistics allow us to effectively assess changes in timing of the extreme rainfall in detail. In this study, a modified K-means method was incorporated with derived temporal characteristics of extreme rainfall in order to better characterize hydrologic pattern for regional frequency analysis. The extreme rainfall was reasonably separated into five categories that considered most attributes in both quantitative and temporal changes in extremes. The results showed that the proposed approach is a promising approach for regionalization in term of physical understanding of extreme rainfall.

• KDI Journal of Economic Policy
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• v.32 no.4
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• pp.1-34
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• 2010

We conduct a comprehensive risk analysis of household debt in Korea for the first time using the whole sample credit bureau (CB) data of 2.2 million individual debtors. After analysing debt service capacity profiles of debtor groups classified by the borrower characteristics such as income, age, occupation, credit scoring, and the type of creditor business companies, we investigate the impact of interest rate and income changes on debt service-to-income ratios (DTIs) and default rates of respective debtor groups. Empirical results indicate that debt service burdens are relatively high for low income wage earners, high income self-employed, low income capital and card loan holders, and high income mutual savings loan holders. We also find that debtors from multiple financial companies are particularly weak in their debt service capacity. The scenario analysis indicates that financial companies, with the current level of capital buffers, may be able to absorb negative consequences arising from the increase in DTIs and loan default rates if the interest rate and income changes remain modest. However, the negative consequences may fall disproportionately on non-bank financial companies such as capital, credit card, and mutual savings banks, whose debtors' DTIs are already high. We also find that the refinancing risk of household debt is relatively high in Korea as more than half of household mortgage debts are bullet loans. As the DTIs of mortgage loan holders are already high, under the current DTI regulation, mortgage loans may not be readily refinanced especially when the interest rate rises. Disruptions in mortgage loan refinancing may put downward pressure on housing prices, which may in turn magnify refinancing risk under the current loan-to-value (LTV) regulation. Overall our analysis suggests that, for more effective monitoring of household debt risk, it is necessary to combine existing surveillance schemes based on macro aggregate indicators with more comprehensive and detailed risk analyses based on micro individual data.

• Journal of Korean Society of Transportation
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• v.32 no.3
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• pp.187-197
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• 2014

The objective of this study is to analyze the travel behaviors of customers accessing to three different types of shopping facilities - traditional markets(TM), hyper markets(HM), and super supermarkets(SSM) - and also to find out the most desirable location for each type of shopping facilities that encourage sustainable transportation and smart urban growth. It also demonstrates what mode has the highest percentage of modal split and what is the access distance for public transport mode by each shopping facilities (SSM: 84.5% walking and 667m, TM: 20.1% bus and 1.6km, HM : 46.2% private car and 4.2km). Among TM, HM, and SSM, statistically significant differences are found in terms of mode choices and other associated travel behaviors. The research findings are expected to contribute to finding future urban planning and transportation solutions that promote walking and public transit uses for shopping trips and thus help support green transportation and sustainable urban growth.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.12 no.2
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• pp.105-115
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• 2017

Innovative cluster theory promotes cluster growth as the tacit knowledge and know-how approach becomes easier through industry-academia cooperation. Industry-academia cooperation is an innovation network policy that supports joint research between industry and academia. In this respect, The Flow of recent government policy is activating I-U support office in university & research institute for enable I-U Cooperation ecosystem. Then SMB Administration was first performed "research village support program", to support SMEs in industry-university cooperative research capabilities by integrating the research, development and commercializatin of the university or research institution with excellent research base in 2013. However, I-U Cooperation R&D must be based the link strategy of Localization in order to be better composition at research village. In the case of research villages where specialized discovery strategies are well reflected, integration of similar companies in specialized fields will naturally create clusters and create synergy of research. This study searching and summarizing through a recent Hanbat National University research village. Finally, we propose the implications of government policy.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.12 no.5
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• pp.87-97
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• 2013

This study tried to explore the quantitative travel heterogeneity between elderly and non elderly people, focusing on urban and rural areas in south Chungcheong province. For the analysis, a PLS(Partial least square) model is applied with economic and traffic environment characteristics of the urban and rural areas. The characteristics of elderly and non elderly people in the urban and rural areas are derived from the 2011 person trip survey. As a result, the study found out that the key factors affect on elderly people in the urban and rural areas are bus operation interval, number of bus operation routes, number of household member, and a monthly average income of household. In case of non elderly people, areas economic factors such as GRDP, the rate of economic activity, and employment status as well as those of elderly people. Meanwhile, female elderly people in rural area have more sensitivity compared to male elderly people and the gender heterogeneity is not revealed in non elderly people.

• Journal of the Korean association of regional geographers
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• v.15 no.1
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• pp.115-137
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• 2009

Recently, industrial locations have faced changing trends under the influence of emerging industries as well as advanced new technologies. So the purpose of this study is to analyze the spatial distribution and locational factors of biotechnology industry formed around the Seoul Metropolitan area and Daejeon city, both of which are centers of Korean biotechnology industry, and is also to identifytheir locational characteristics. Major results of this study can be outlined as follows: First, from the mid 1990' s to 2000, Korean biotechnology industry has rapidly developed owing to central and local governmental support policies and systems as well as changes in domestic economic environment due to Korean financial crisis. Secondly, it was found that spatial distribution of Korean biotechnology industry converged on the Seoul Metropolitan area till 1990, but shifted from there to Daejeon and Chungcheong area from 1990 to 2000. Particularly after 2000, positive local governmental efforts to attract biotechnology players have driven the spatial distribution of biotechnology industry to shift from Seoul Metropolitan area and Daejeon or adjacent area gradually to other profitable locations. In terms of locational factors, it was found that the locations of Korean biotechnology industry converged primarily on university or college campus and biotechnology venture center, particularly on locations adjacent to superhighway or expressway. Locational factors varied depending on region, industrial type and business growth phase. Therefore, it is advisable that our central and local government should make and implement practical and useful policies in favor of biotechnology business depending on region, industrial type, business growth phase, rather than depending on uniform locational policies.