• Journal of the Korean Association of Geographic Information Studies
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• v.11 no.1
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• pp.155-166
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• 2008

The quantitative bivariate spatial pattern analysis was applied for the water quality and nutrients data of Masan Bay, and for this analysis Pearson's r as aspatial correlation measurement, Moran's I as spatial association measurement and L index as integration of aspatial and spatial measurement methods were used. To understand the aspatial and spatial characteristics implicated in L index, Pearson's r as well as Moran's I were classified into 3 types respectively, and Pearson's r and Moran's I were combined with 9 types, and also quantile of L index value was used for each of those 9 types. Finally, these types were defined as 5 groups having not overlapped L index range. According to the application result of L index groups, bivariate water quality and nutrients showed no aspatial correlation regardless of spatial association in February and July, but they showed aspatial correlation having clustered spatial pattern in May and November. The result of this study providing the guideline for the interpretation of aspatial correlation and spatial association using L index is expected to be helpful for the marine environment pattern analysis using quantitative index for further study.

• Journal of Korea Water Resources Association
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• v.50 no.4
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• pp.277-288
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• 2017

A probabilistic risk analysis of levee system estimates the overall level of flood risk associated with the levee system, according to a series of possible flood scenarios. It requires the uncertainty analysis of all the risk components, including hydrological, hydraulic and geotechnical parts computed by employing MCMC (Markov Chain Monte Carlo), MCS (Monte Carlo Simulation) and FOSM (First-Order Second Moment), presents a joint probability combined each probability. The methodology was applied to a 12.5 km reach from upstream to downstream of the Gangjeong-Goryeong weir, including 6 levee reaches, in Nakdong river. Overtopping risks were estimated by computing flood stage corresponding to 100/200 year high quantile (97.5%) design flood causing levee overflow. Geotechnical risks were evaluated by considering seepage, slope stability, and rapid drawdown along the levee reach without overflow. A probability-based compound risk will contribute to rising effect of safety and economic aspects for levee design, then expect to use the index for riverside structure design in the future.

• The Journal of the Korea Contents Association
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• v.16 no.8
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• pp.257-267
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• 2016

The research subject is 8 mothers who put their physical/mentally impaired children in a group home, as the research method, this study conducted an in-depth interview survey. The participants of this study collected data from the in-depth interview on 8 mothers who put their disabled children to the group home. In the result of open coding, total 34 concepts, 28 subcategories and 13 categories were derived. The core category in the selective coding was 'establishing restorative relationship through entering a group home after encountering the limit of nurture.' Practical Strategies include the following; first, it's necessary to provide psychology counselling consequent on a mother's nurturing phase, and this study proposes a program for a father having a child with disability; in addition, there is the necessity of having to arrange the differentiated facility for physically/mentally impaired people, which meets the needs of the relevant people. At a level of policy, this study suggested the necessity of having to take into account the minimization of poverty problem facing a family having a disable child through the caring card, necessity of the use of good-natured card, and medical-social-welfare-based intervention, expansion of facility-touring class installation, and use of adult guardianship system, and differential payment of disabled child nurturing allowance consequent on income quantile, etc.

• Journal of Preventive Medicine and Public Health
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• v.32 no.4
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• pp.443-451
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• 1999

Objective: To examine the relationship between hypertension prevalence and the four commonest anthropometric measurements for obesity(body mass index(BMI), wasit-hip ratio(WHR), waist circumference(WC) and body fat in Korean adults. Methods: We studied the cross-sectional association of the anthropometric indices and blood pressure in 1,197 individuals(who were participants in the population-based cohort study). Hypertension was defined as blood pressure $\geq160/95\;mmHg$ or current use of antihypertensive medication. Informations on life-style factors were obtained from personal interview. Results: There were close associations between BMI, WHR and WC with blood pressure in both men and women. After age adjustment, BMI and WC showed significantly positive correlation with systolic and diastolic blood pressure levels in both men and women. Odds ratio(ORs) of being hypertensive were estimated comparing the highest to the lowest quantile, adjusting for age, smoking status, alcohol intake levels, education attainment. The simultaneously adjusted ORs of being hypertensive, comparing the highest vs the lowest categories, was for BMI 2.0(95% confidence interval(CI)=0.9-3.2) in men and 3.2 (95% CI=1.7-6.1) in women, for WC 2.1(95% CI=1.0-4.4) in men and 3.1 (95% CI=1.6-5.9) in women, for fat(%) 4.2(95% CI=1.9-9.5) in men and 2.1(95% CI=1.2-3.6) in women. Conclusion: In addition to measures of overall obesity(BMI) as well as central obesity(WHR, WC), body fat(%) was independently associated with prevalence of hypertension. Among obesity indices, body fat was the most predictor variable in hypertensive state in male and BMI was in female.

• The Korean Journal of Applied Statistics
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• v.20 no.2
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• pp.267-280
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• 2007

Various single-valued design optimality criteria such as D-, G-, and V-optimality are used often in constructing optimal experimental designs for mixture experiments in a constrained region R where lower and upper bound constraints are imposed on the ingredients proportions. Even though they are optimal in the strict sense of particular optimality criterion used, it is known that their performance is unsatisfactory with respect to the prediction capability over a constrained region. (Vining et at., 1993; Khuri et at., 1999) We assume the quadratic polynomial model as the mixture response surface model and are interested in finding efficient designs in the constrained design space for a mixture. In this paper, we make an expanded list of candidate design points by adding interior points to the extreme vertices, edge midpoints, constrained face centroids and the overall centroid. Then, we want to propose a robust design with respect to D-optimality, G-optimality, V-optimality and distance-based U-optimality. Comparing scaled prediction variance quantile plots (SPVQP) of robust designs with that of recommended designs in Khuri et al. (1999) and Vining et al. (1993) in the well-known examples of a four-component fertilizer experiment as well as McLean and Anderson's Railroad Flare Experiment, robust designs turned out to be superior to those recommended designs.

• Proceedings of the Korea Water Resources Association Conference
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• 2006.05a
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• pp.764-769
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• 2006

본 연구에서는 최근에 빈번히 발생하는 단시간 집중호우양상의 변화와 자료기간의 누적에 따른 지속시간 및 재현기간별로 확률강우량의 변화양상을 분석하였다. 분석 대상 지점으로는 서울지점을 선정하였다. 강우자료는 기상청 산하의 강우관측소 자료를 이용하였으며 확률강우량 산정을 위한 강우지속시간은 10분, 20분, 30분, 40분, 50분 60분, 120분, 180분, 360분, 720분, 1440분을 지속시간으로 선정하였고 재현기간은 5년, 10년, 15년, 20년, 25년, 30년, 50년, 80년, 100년, 200년으로 수공구조물 설계시 많이 고려되어지는 재현기간을 선정하였다. 먼저 최근의 강우양상의 변화와 확률강우량의 경년변화 양상을 비교 분석하기 위하여 서울지점의 강우자료에 대한 장기 변동성을 분석하였고, 연강우량과 지속시간별 연 최대 강우량의 상관성을 분석하였다. 다음으로 통계적 분석을 통하여 확률강우량의 경년변화 양상을 지속시간 및 재현기간별로 분석하였다. 연강우량과 지속시간별 연최대강우량의 상관성 분석은 상호상관분석과 회귀분석을 실시하여 분석하였다. 확률강우량의 경년변화 분석 방법은 기본자료기간을 20년으로 산정하여 매해 강우자료를 추가하면서 확률강우량을 산정하여 경년변화를 살펴보았다. 확률강우량의 산정은 국립방재연구소와 연세대학교가 공동으로 제작한 FARD모형을 사용하였다. 분석결과 최근 강우량이 증가 추세에 있는 것을 확인 할 수 있었으며, 연강우량과 지속시간별 연 최대 강우량의 상관성은 없는 것으로 나타났다. 또한 확률강우량의 분석결과에서는 자료의 누적에 따른 확률강우량의 지속시간 및 재현기간에 따라 차이가 상이하며, 변동폭은 20% 내외로 나타났다. 토양수분 계산에도 영향을 준 것으로 보인다. 본 연구는 WEP 모형의 토양수분 해석능력에 대한 시험적용에 그 의의가 있으며, 향후 토양 및 지표하 매개변수 정보가 충분히 갖추어지고, 토양수분 관측결과 있는 대상유역에 대한 적용이 요구된다.-Moment 방법에 의해 추정된 매개변수를 사용한 Power 분포를 적용하였으며 이들 분포의 적합도를 PPCC Test를 사용하여 평가해봄으로써 낙동강 유역에서의 저수시의 유출량 추정에 대한 Power 분포의 적용성을 판단해 보았다. 뿐만 아니라 이와 관련된 수문요소기술을 확보할 수 있을 것이다.역의 물순환 과정을 보다 명확히 규명하고자 노력하였다.으로 추정되었다.면으로의 월류량을 산정하고 유입된 지표유량에 대해서 배수시스템에서의 흐름해석을 수행하였다. 그리고, 침수해석을 위해서는 2차원 침수해석을 위한 DEM기반 침수해석모형을 개발하였고, 건물의 영향을 고려할 수 있도록 구성하였다. 본 연구결과 지표류 유출 해석의 물리적 특성을 잘 반영하며, 도시지역의 복잡한 배수시스템 해석모형과 지표범람 모형을 통합한 모형 개발로 인해 더욱 정교한 도시지역에서의 홍수 범람 해석을 실시할 수 있을 것으로 판단된다. 본 모형의 개발로 침수상황의 시간별 진행과정을 분석함으로써 도시홍수에 대한 침수위험 지점 파악 및 주민대피지도 구축 등에 활용될 수 있을 것으로 판단된다. 있을 것으로 판단되었다.4일간의 기상변화가 자발성 기흉 발생에 영향을 미친다고 추론할 수 있었다. 향후 본 연구에서 추론된 기상변화와 기흉 발생과의 인과관계를 확인하고 좀 더 구체화하기 위한 연구가 필요할 것이다.게 이루어질 수 있을 것으로 기대된다.는 초과수익률이 상승하지만, 이후로는 감

• Journal of Korea Water Resources Association
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• v.44 no.2
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• pp.85-96
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• 2011

Probability plotting position is generally used for the graphical analysis of the annual maximum quantile and the estimation of exceedance probability to display the fitness between sample and an appropriate probability distribution. In addition, it is used to apply a specific goodness of fit test. Plotting position formula to define the probability plotting position has been studied in many researches. Especially, the GEV distribution which is an important probability distribution to analyze the frequency of hydrologic data was popular. In this study, the theoretical reduced variates are derived using the mean value of order statistics to derived an appropriate plotting position formula for the GEV distribution. In addition, various forms of plotting position formula considering various sample sizes and coefficients of skewness related with shape parameters are applied. The parameters of plotting position formulas are estimated using the genetic algorithm. The accuracy of derived plotting position formula is estimated by the errors between the theoretical reduced variates and those by various plotting position formulas including the derived ones in this study. As a result, the errors by derived plotting position formula is the smallest at the range of shape parameter with -0.25~0.10.

• Journal of Korea Water Resources Association
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• v.51 no.2
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• pp.151-163
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• 2018

The objective of this study was to estimate LOADEST (LOAD Estimator) coefficients for simulating pollutant loads in ungauged watersheds. Regression models of LOADEST were used to simulate pollutant loads, and the multiple linear regression (MLR) was used for coefficients estimation on watershed characteristics. The fifth and third model of LOADEST were selected to simulate T-N (Total-Nitrogen) and T-P (Total-Phosphorous) loads, respectively. The results and statistics indicated that regression models based on LOADEST simulated pollutant loads reasonably and model coefficients were reliable. However, the results also indicated that LOADEST underestimated pollutant loads and had a bias. For this reason, simulated loads were corrected the bias by a quantile mapping method in this study. Corrected loads indicated that the bias correction was effective. Using multiple regression analysis, a coefficient estimation methods according to the watershed characteristic were developed. Coefficients which calculated by MLR were used in models. The simulated result and statistics indicated that MLR estimated the model coefficients reasonably. Regression models developed in this study would help simulate pollutant loads for ungauged watersheds and be a screen model for policy decision.

• Journal of Korea Water Resources Association
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• v.41 no.4
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• pp.405-412
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• 2008

Rainfall quantiles were estimated by applying the FORGEX method. The circle network and two elliptical ones with the ratios of 1 to 1.5 and 1 to 2.0 were used and compared to find appropriate one for rainfall data. Annual maximum data were collected from 376 sites and standardized by the median. The networks were organized from the subject sites and then pooled and netmax data were collected from each network. Then, the growth curves and quantiles were estimated. When the subject site had small differences of quantiles from index flood method and at-site frequency analysis, those of the estimated quantiles from circle and elliptical networks were small. In contrast, the sites where the quantile differences are big have big differences of quantiles from circle and elliptical networks. The estimated quantiles from the elliptical network are more accurate than those from the circle network, because the ellipse network contains more sites in South Korea. Moreover, the ellipse with ratio of 1 to 2.0 shows closer quantiles to those from index flood method than one with ratio of 1 to 1.5. It is, therefore, found that the FORGEX method with 1 to 2.0 ellipse network is appropriate regional frequency analysis in South Korea.

• Journal of Korean Society of Disaster and Security
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• v.8 no.1
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• pp.21-27
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• 2015

Recent researches show that climate change has impact on the rainfall process at different temporal and spatial scales. The present paper is focused on climate change impact on sub-daily rainfall quantile of Han River basin in South Korea. Climate change simulation outputs from ECHO-G GCM under the A2 scenario were used to estimate daily extreme rainfall. Sub-daily extreme rainfall was estimated using the scale invariance concept. In order to assess sub-daily extreme rainfall from climate change simulation outputs, precipitation time series were generated based on NSRPM (Neyman-Scott Rectangular Pulse Model) and modified using the ratio of rainfall over projection periods to historical one. Sub-daily extreme rainfall was then estimated from those series. It was found that sub-daily extreme rainfall in the future displayed increasing or decreasing trends for estimation methods and different periods.