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Evaluation of GPM IMERG Applicability Using SPI based Satellite Precipitation (SPI를 활용한 GPM IMERG 자료의 적용성 평가)

  • Jang, Sangmin;Rhee, Jinyoung;Yoon, Sunkwon;Lee, Taehwa;Park, Kyungwon
    • Journal of The Korean Society of Agricultural Engineers
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    • v.59 no.3
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    • pp.29-39
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    • 2017
  • In this study, the GPM (Global Precipitation Mission) IMERG (Integrated Multi-satellitE retrievals for GPM) rainfall data was verified and evaluated using ground AWS (Automated Weather Station) and radar in order to investigate the availability of GPM IMERG rainfall data. The SPI (Standardized Precipitation Index) was calculated based on the GPM IMERG data and also compared with the results obtained from the ground observation data for the Hoengseong Dam and Yongdam Dam areas. For the radar data, 1.5 km CAPPI rainfall data with a resolution of 10 km and 30 minutes was generated by applying the Z-R relationship ($Z=200R^{1.6}$) and used for accuracy verification. In order to calculate the SPI, PERSIANN_CDR and TRMM 3B42 were used for the period prior to the GPM IMERG data availability range. As a result of latency verification, it was confirmed that the performance is relatively higher than that of the early run mode in the late run mode. The GPM IMERG rainfall data has a high accuracy for 20 mm/h or more rainfall as a result of the comparison with the ground rainfall data. The analysis of the time scale of the SPI based on GPM IMERG and changes in normal annual precipitation adequately showed the effect of short term rainfall cases on local drought relief. In addition, the correlation coefficient and the determination coefficient were 0.83, 0.914, 0.689 and 0.835, respectively, between the SPI based GPM IMERG and the ground observation data. Therefore, it can be used as a predictive factor through the time series prediction model. We confirmed the hydrological utilization and the possibility of real time drought monitoring using SPI based on GPM IMERG rainfall, even though results presented in this study were limited to some rainfall cases.

Fluorescence-labelling for analysis of protein in starch using asymmetrical flow field-flow fractionation (AF4)

  • Yoo, Yeongsuk;Choi, Jaeyeong;Zielke, Claudia;Nilsson, Lars;Lee, Seungho
    • Analytical Science and Technology
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    • v.30 no.1
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    • pp.1-9
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    • 2017
  • Starch is a mixture of amylose (AMY) and amylopectin (AMP) which are different in physical properties such as molar mass (M), rms radius ($R_g$) and hydrodynamic diameter ($d_H$). The rheological and functional properties of starch are influenced by various factors including the molecular size, molar mass distribution (MD) and the concentration ratio of AMY and AMP. It is also important to analyze proteinaceous material in starch as they affect the flavor and texture of food to which starch is added. In this study, asymmetrical flow field-flow fractionation (AF4) was employed for separation and quantitation of AMY and AMP in starches (Amaranth, potato, taros and quinoa). AF4 was coupled with a multi-angle light scattering (MALS) and a refractive index (RI) detector for determination of the absolute M, MD and molecular structure. It was found that AMP has the M and $R_g$ ranging $3.7{\times}10^7{\sim}6.5{\times}10^8g/mol$ and 84 ~ 250 nm, respectively. Also the existence of branch was confirmed in higher M. In addition, proteinaceous material in starch was analyzed by AF4 coupled with a fluorescence detector (FS) after fluorescence-labeling. AF4-FS with fluorescence-labelling showed a potential for investigation on existence of proteinaceous material and the interaction between proteinaceous material and polysaccharide in starch.

Dispersion and Enrichment of Potentially Toxic Elements in the Chungjoo Area Covered with Black Shales in Korea (충주지역 흑색셰일 분포지역에서의 잠재적 독성원소들의 분산과 부화)

  • Lee, Jin-Soo;Chon, Hyo-Taek;Kim, Kyoung-Woong
    • Economic and Environmental Geology
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    • v.29 no.4
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    • pp.495-508
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    • 1996
  • This study had three purposes: (1) to investigate dispersion and enrichment level of potentially toxic elements; (2) to identify uranium-bearing minerals in black shales; and (3) to assess the chemical speciation of heavy metals in soils and sediments. Rock, surface soil and stream sediment samples were collected in the Chungjoo area covered with black shales in Korea. These samples were analyzed for multi-elements using INAA and ICP-AES. The maximum abundance of U in black shales is 56 ppm and radioactivity counts up to 240CPM. Molybdenum, V, Ba, Cu, and Pb are enriched in black shales and most of soils show high concentrations of U, Mo, Ba, Cu, Pb and Zn. Concentrations of potentially toxic elements decrease in the order of mountain soil > farmland soil > paddy soil. Enrichment index of soils and sediments are calculated and higher than 1.0 in the black shale area with the highest value of 6.1. In order to identify U-bearing minerals, electron probe micro analysis was applied, and uraninite and brannerite in black shale were found. Uraninite grains are closely associated with monazite or pyrite with the size of $2{\mu}m$ to $10{\mu}m$ in diameter whereas brannerite occurs as $50{\mu}m$ euhedral grains. With the results of sequential extraction scheme, residual fractions of Cu, Pb and Zn in soils are mainly derived from weathering of black shale but Cu, Pb and Zn in sediments are present as non-residual fractions. Lead is predominantly present as oxidizable phase in soils whereas Zn is in exchageable/water-acid soluble phase in sediments.

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Changes of the Forest Types by Climate Changes using Satellite imagery and Forest Statistical Data: A case in the Chungnam Coastal Ares, Korea (위성영상과 임상통계를 이용한 충남해안지역의 기후변화에 따른 임상 변화)

  • Kim, Chansoo;Park, Ji-Hoon;Jang, Dong-Ho
    • Journal of Environmental Impact Assessment
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    • v.20 no.4
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    • pp.523-538
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    • 2011
  • This study analyzes the changes in the surface area of each forest cover, based on temperature data analysis and satellite imagery as the basic methods for the impact assessment of climate change on regional units. Furthermore, future changes in the forest cover are predicted using the double exponential smoothing method. The results of the study have shown an overall increase in annual mean temperature in the studied region since 1990, and an especially increased rate in winter and autumn compared to other seasons. The multi-temporal analysis of the changes in the forest cover using satellite images showed a large decrease of coniferous forests, and a continual increase in deciduous forests and mixed forests. Such changes are attributed to the increase in annual mean temperature of the studied regions. The analysis of changes in the surface area of each forest cover using the statistical data displayed similar tendencies as that of the forest cover categorizing results from the satellite images. Accordingly, rapid changes in forest cover following the increase of temperature in the studied regions could be expected. The results of the study of the forest cover surface using the double exponential smoothing method predict a continual decrease in coniferous forests until 2050. On the contrary, deciduous forests and mixed forests are predicted to show continually increasing tendencies. Deciduous forests have been predicted to increase the most in the future. With these results, the data on forest cover can be usefully applied as the main index for climate change. Further qualitative results are expected to be deduced from these data in the future, compared to the analyses of the relationship between tree species of forest and climate factors.

Multilevel Analysis on Factors Influencing Death and Transfer in Inpatient with Severe Injury (입원 중증 손상 환자의 사망과 전원에 영향을 미치는 요인에 관한 다수준분석)

  • Choi, Young Eun;Lee, Kang Suk
    • Health Policy and Management
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    • v.23 no.3
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    • pp.233-243
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    • 2013
  • Background: This study was conducted to evaluate the individual and community level factors which were influencing the severe injury patients' death and transfer at discharge. Methods: Analysis data is based on Korean National Hospital Discharge In-depth Survey Data released by the Korea Center for Disease Control and Prevention from 2006 to 2008. Study subjects was 11,026 inpatients with of severe injury. For multi-level analysis, socio-demographic characteristics, injury related characteristics, hospitalization related characteristics were used as individual level factors, and socio-environmental characteristics and health care resource characteristics were used as community level factors. Results: As to community level factors affecting mortality of severe injury, the possibility of death was also high in cases of less numbers of surgeons per a population of 100,000 and more number of operation beds. As to community level factors affecting transfer of severe injury, vulnerable areas with higher social deprivation index and low population density had higher possibility of transfer. Conclusion: Both individual level factors and community level factors affected clinical outcomes of treatment for severe injury. In particular, since there happened higher death and transfer of severe injury in socioeconomic and medical vulnerable areas, special efforts for establishing preventive policy and care system for injury in national and area level should be directed toward such areas.

Mother-Child Emotional Availability Mediating the Effects of Maternal Psychological Well-being and Child's Cognitive Competence on Child Behavior Problems

  • Kang, Min-Ju
    • International Journal of Human Ecology
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    • v.12 no.2
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    • pp.95-107
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    • 2011
  • Recent intervention studies document that mother-child dyads with higher levels of Emotional Availability (EA) report fewer child behavior problems than dyads with lower EA. This study examines possible mechanisms that lead to this result by looking at the parent-child micro-system as a whole, with multi-dimensional relationships that include individual differences in the child's cognitive level, parental stress and parent-child interaction. A total 67 children ($1{\frac{1}{2}}$ to $5\;{\frac{1}{2}}$ years of age) and their mothers were videotaped during 30-min play interactions. Interactions were coded using the Emotional Availability (EA) Scales (Biringen, Robinson, & Emde, 1998). Mothers completed Parenting Stress Index-Short Form, Child Behavior Checklist/$1\;{\frac{1}{2}}$ - 5, and the Ages Stages Questionnaire. The findings showed that mothers with higher levels of parenting stress were more likely to be intrusive, hostile, insensitive, and had a tendency to do less structuring in play. The children of stressed and depressed mothers demonstrated less involvement and responsiveness towards their mothers. Children who have higher dyadic EA scores experienced fewer externalizing and internalizing problems. SEM analyses results showed a mediation effect of EA on the association between maternal psychological well-being and child behavior problems. Fewer deficits in child communication skills and problem solving skills that were related with lower parenting stress and depression were associated with higher maternal non-intrusiveness. Higher non-intrusiveness was related to less internalizing and externalizing problems that indicated the indirect effect of child cognitive competence. Possible interpretations and implications of the study findings are discussed.

A Comparative Study on the Management Performance of General Retail Companies in Korea: For Department store, TV home­shopping, Internet & Mobile shopping (우리나라 종합소매업의 경영성과에 관한 비교 연구 - 백화점, TV홈쇼핑, 온라인쇼핑몰 업태를 대상으로 -)

  • Koo, Kyoungmo
    • Journal of Korea Port Economic Association
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    • v.35 no.4
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    • pp.31-50
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    • 2019
  • The retail industry has been coping with changes in the retail market environment for the past decade or so. Using a total of 14 companies, this study aims to reveal the effect of differences in sales channels and retail business styles on the management performance of retail companies. The financial statements of these companies were used to analyze the five key indicators of their management performance. As research variables, sales channels, retail business style and business period were used as factors affecting their management performance. ANOVA or MANOVA was performed to test differences in management performance between groups according to the number of factors. The effect of three factors on the management performance of retail companies was found to be significant. The multi-comparison test revealed significant differences among retail business styles in terms of the five key indicators. TV home-shopping performed better than others in terms of stability and profitability. Internet and mobile shopping companies performed poorly in terms of profitability compared to others and performed higher than department stores in terms of growth, activity, and productivity.

Determinants of High Risk Drinking in Korea (한국 사회의 고위험 음주 결정요인에 관한 연구: 중도 절단 이변량 프로빗 모형의 적용)

  • Chung Woojin
    • Korea journal of population studies
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    • v.26 no.2
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    • pp.91-110
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    • 2003
  • This study analyzed data from 1997 Korea's Behavioral Risk Factor Surveillance System Survey collected through telephone questionings based on the multi-stage stratified random sampling. We categorized respondents into those who had ever drunk an alcoholic beverage in the last month and those who didn't and, referring to the World Health Organization's guideline, the former group were further categorized into low risk drinking group and high risk drinking group. Employing bivariate probit regression analyses with censoring on independent variables such as preferred type of alcoholic beverage, the number of types of beverages consumed, age, marital status, education, occupation, residential area, current smoking, body mass index and stress suggested (1) that those who prefer soju are more likely to involve high risk drinking than those who and prefer the other alcoholic beverages (2) that those who are relatively older, who live without a partner, who have jobs, who. are vulnerable to stress, or who enjoy more than one type of beverage are more likely to be exposed to high risk drinking than the others.

Histopathological classification of the bovine lymphoma caused by bovine leukemia virus in Korea (소 백혈병 바이러스 감염에 의한 소 림프종의 병리조직학적 분류)

  • Yoon, Soon-Seek;Lee, Kyeong-Hyun;Bae, You-Chan;Jean, Young-Hwa;Kang, Mun-Il;Lee, O-Soo;Han, Hong-Ryul
    • Korean Journal of Veterinary Research
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    • v.45 no.3
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    • pp.391-398
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    • 2005
  • Several studies have been performed on the bovine leukemia since bovine leukemia virus (BLV) had been detected in 1982 in Korea. We have conducted histopathological study on the bovine lymphoma caused by BLV because only limited results were reported on the pathological characterization of lymphoma. Lymphoma tissues were obtained from cattle necropsied and slaughtered during a designated period. Lymphoma was classified histopathologically according to the National Cancer Institute Working Formulation. Leukotic tissues consisted of fairly uniform sheets of closely packed medium to large lymphocytes without any architectural arrangement in all 30 cases. Twenty five cases belong to diffuse large cell type, while three cases were diffuse mixed cell type, and two cases were immunoblastic large cell type among 30 cases. Follicular type lymphoma was not detected in this study. The mitotic index of tumor cells showed average 2.5 in the field of 400X. Nuclear cleavage was detected in 53% of cases. Multi-nucleated cells were detected among tumor cells in 30% of lymphoma cases. In conclusion, the most common morphologic cell type of bovine lymphoma in Korea was a diffuse large cell type with multinucleated cells and nuclear cleavages.

Analysis on Inundation Characteristics for Flood Impact Forecasting in Gangnam Drainage Basin (강남지역 홍수영향예보를 위한 침수특성 분석)

  • Lee, Byong-Ju
    • Atmosphere
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    • v.27 no.2
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    • pp.189-197
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    • 2017
  • Progressing from weather forecasts and warnings to multi-hazard impact-based forecast and warning services represents a paradigm shift in service delivery. Urban flooding is a typical meteorological disaster. This study proposes support plan for urban flooding impact-based forecast by providing inundation risk matrix. To achieve this goal, we first configured storm sewer management model (SWMM) to analyze 1D pipe networks and then grid based inundation analysis model (GIAM) to analyze 2D inundation depth over the Gangnam drainage area with $7.4km^2$. The accuracy of the simulated inundation results for heavy rainfall in 2010 and 2011 are 0.61 and 0.57 in POD index, respectively. 20 inundation scenarios responding on rainfall scenarios with 10~200 mm interval are produced for 60 and 120 minutes of rainfall duration. When the inundation damage thresholds are defined as pre-occurrence stage, occurrence stage to $0.01km^2$, 0.01 to $0.1km^2$, and $0.1km^2$ or more in area with a depth of 0.5 m or more, rainfall thresholds responding on each inundation damage threshold results in: 0 to 20 mm, 20 to 50 mm, 50 to 80 mm, and 80 mm or more in the rainfall duration 60 minutes and 0 to 30 mm, 30 to 70 mm, 70 to 110 mm, and 110 mm or more in the rainfall duration 120 minutes. Rainfall thresholds as a trigger of urban inundation damage can be used to form an inundation risk matrix. It is expected to be used for urban flood impact forecasting.