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Distribution Characteristics of Atmospheric Mercury from Two Monitoring Stations: Inside and Outside of Seoul Metropolitan City, Korea (서울시 한남동과 경기도 과천시 지역을 중심으로 한 대기 중 수은의 분포특성 연구)

  • Kim, Ki-Hyun;Kim, Min-Young
    • Journal of the Korean earth science society
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    • v.22 no.3
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    • pp.223-236
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    • 2001
  • The concentration of gaseous mercury (Hg) was measured at hourly intervals along with relevant environmental parameters from two monitoring stations (Hannam and Kwachun) in Seoul metropolitan city during September 1999 to July 2000. Irrespective of the environmental and areal differences in the two locations, the concentrations of observed Hg levels were remarkably compatible each other. The results showed that the mean Hg level in Hannam was measured to be 5.34${\pm}$3.92 ngm$^{-3}$ (N = 2576), while that of Kwachun was 5.25${\pm}$2.53 ngm$^{-3}$ (N = 1992). Using these measurement data, we inspected Hg distribution and behavior at various time scale. When the data were analyzed at 24 hr scale, the distribution patterns for the two areas were distinguished by enrichment in either night(Hannam) or day (Kwachun). The patterns for seasonal distributions were also opposing each other such as the occurrences of peak during winter (Hannam) or summer (Kwachun). In order to analyze the factors affecting Hg distributions between two sites over different time scale, we conducted both correlation and factor analysis on both all data sets and on seasonally divided data groups. Whereas Hg exhibits strong correlations with such parameters as PM (particulate matter), SO$_2$, and NO$_2$, its relationship with meteorological parameters was not significant enough in many cases. The results of factor analysis also indicated that the Hg levels are tightly associated with most pollutants, explaining the largest portions of statistical variance. According to our study, we conclude that patterns of Hg distributions can exhibit variable patterns depending on local source processes which we expect to be diverse among different areas.

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A Hydrological Study on Rainfall Frequency Atlas in Korea (한국 확률강우량도 작성을 위한 수문학적 연구)

  • 이원환
    • Water for future
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    • v.10 no.1
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    • pp.39-51
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    • 1977
  • The purpose of this study is to make "The Rainfall Frequency Atlas in Korea" by the analytical method with new hydrological concepts. In this study, all of the rainfall datas in Korea was used for surveying of the basic data, and so we can get 103 sites for annual rainfall data and 100 sites for the max. in a day that are suitable to the purpose of the study. The above data groups are possible to estimate the normal standard period by the moving average method with $\pm$5% of significance level of variance ratio between the max. and min. moving average and arithmetic mean, but it may be impossible to study until 1990's for the short duration under 18-hr because the sites, having the short duration data, are only 12. The results of this study are as follows; 1. The normal standard period estimated by the moving average method is 20 year with $\pm$5% of significance level of variance ratio, and 30 year with$\pm$2-3%. 2. For the annual and max. rainfall in a day, it is possible to make the rainfall frequency atlas with 30normal standard period, but it may be impossible until 1990's for short duration. 3. "Y-k method" developed by writer is best suitable in the rainfal frequency analysis in Korea because of its convenience and reduction in the amount of calculation compared with other methods. 4. To improve the utilization of the rainfall frequency atlas, the larger-sized and the more detailed iso-precipitation atlas must be drawn.atlas must be drawn.

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The Patterns of the PM Air Quality Guidance Level in Seoul during 1990~2000 (서울시 대기관측망을 중심으로 부유분진 기준농도 초과자료를 이용한 시공간적 경향성 비교 연구)

  • Choi, Ye-Jin;Kim, Min-Young;Kim, Ki-Hyun
    • Journal of the Korean earth science society
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    • v.24 no.3
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    • pp.190-204
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    • 2003
  • The PM (particulate matter) concentration data sets exceeding the Daily Air Quality Guidance Levels (i.e., established by the Korean Ministry of Environment) were selected from 31 air qality monitoring stations in Seoul from 1990 to 2000. (For reference, the 24hr environmental standard values of PM$_{10}$ and TSP are 150 and 300${\mu}$g/m$^{3}$, respectively.) When the data sets were compared between land use types, both PM fractions were exceeded most frequently in residential areas. However, the highest TSP concentration was measured at industrial areas (351.0${\pm}$35.9${\mu}$g m$^{3}$), while the highest PM$_{10}$ concentration was measured in residential areas (182.9${\pm}$42.4${\mu}$g m$^{3}$). When the temporal distribution patterns of the exceedance data sets were compared to those measured routinely (without any discrimination based on exceedance criteria), large differences were present. It was demonstrated that the occurrences of exceedance data sets increased rather significantly in recent years.

The Comparison of Driving Pattern by Gender Using Driving Simulator and Motion Data (시뮬레이터 및 동작데이터를 이용한 남녀 운전 수행 패턴의 비교)

  • Mun, Kyung-Ryoul;Choi, Jin-Seung;Kang, Dong-Won;Lee, Su-Jeong;Yang, Jae-Woong;Choi, Mi-Hyun;Ji, Doo-Hwan;Min, Byung-Chan;Chung, Soon-Cheol;Tack, Gye-Rae
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.33 no.2
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    • pp.56-62
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    • 2010
  • The purpose of this study was to compare the difference of driving pattern between male and female drivers for a straight driving and unexpected situation using driving simulator and motion data. The participants included total 60 university students; 30 males aged 24.3$\pm$1.4 years and 30 females aged 23.2$\pm$1.9 years with 1~3 years of driving experience. The driving task required participants to keep the constant distance (20m, 25m or 30m) with preceding vehicle running at 55~65km/hr speed using driving simulator which was programed unexpected situation for two minutes. Simulator and motion data were acquired. The acquired data was divided in straight driving block for 40 second and unexpected situation block for 2 second. The coefficient of variation (CV) of lane keeping and jerk-cost (JC) function were analyzed for straight driving and unexpected situation blocks. The results show that CV was smaller in males than females for both straight and unexpected situation blocks (p < .05). JC was smaller in females than males for both straight and unexpected situation blocks. As the distance of vehicles become longer, JC was smaller for both male and female (p < .05).

A Case Study on Analysis of Landslide Potential and Triggering Time at Inje Area using a RTI Warning Model (RTI 경보모델을 이용한 강원도 인제지역의 산사태 가능성 및 발생시간 분석 사례 연구)

  • Chae, Byung-Gon;Liu, Ko-Fei;Cho, Yang-Chan
    • The Journal of Engineering Geology
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    • v.18 no.2
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    • pp.191-196
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    • 2008
  • This study is a case study for application of the RTI warning model to Korea which was previously developed to predict landslide potential and occurrence time during a rainfall event. The rainfall triggering index (RTI) is defined as the product of the rainfall intensity I (mm/hr) and the effective accumulated rainfall $R_t$ (mm). This index is used to evaluate the landslide and debris-flow occurrence potential at time t during a rainfall event. The upper critical value ($RTI_{UC}$) of RTI and the lower critical value ($RTI_{LC}$) of RTI can be determined by historical rainfall data of a certain area. When the rainfall intensity exceeds the upper critical value, there are high potential to occur land-slides. The analysis result can predict landslide occurrence time of an area during a rainfall event as well as land-slide potential. The result can also be used as an important data to issue early-warning of landslides. In order to apply the RTI warning model to Korea this study analyzed rainfall data and landslides data in Inje county, Gangwon province, Korea from July 13 to July 19, 2006. According to the analysis result, the rainfall intensity exceeded the upper critical value 23 hours ago, 11 hours ago, and 9 hours ago from 11:00 in the morning, July 16. Therefore, landslide warnings would be issued three times for people evacuation for avoiding or reducing hurts and dam-ages from landslides in mountainous areas of Inje.

Association between seafood intake and frailty according to gender in Korean elderly: data procured from the Seventh (2016-2018) Korea National Health and Nutrition Examination Survey (한국 노인의 성별에 따른 수산물 섭취 수준과 노쇠 위험성의 상관성 연구: 제 7기 (2016-2018) 국민건강영양조사 자료를 이용하여)

  • Won Jang;Yeji Choi;Jung Hee Cho;Donglim Lee;Yangha Kim
    • Journal of Nutrition and Health
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    • v.56 no.2
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    • pp.155-167
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    • 2023
  • Purpose: This study investigates the association between seafood consumption and frailty according to gender in the Korean elderly. Methods: Cross-sectional data from the Seventh (2016-2018) Korea National Health and Nutrition Examination Survey was procured for this study. Data from 3,675 subjects (1,643 men and 2,032 women) aged ≥ 65 years were analyzed. Levels of seafood intake were assessed by a one-day 24-hour dietary recall, and subjects were classified into three tertiles by gender according to frailty phenotype: robust, pre-frail, and frail. Multinomial logistic regression analysis was performed to clarify the association between seafood consumption and frailty for each gender. Results: The prevalence of frailty was determined as 13.4% for men and 29.7% for women. Participants with a higher seafood intake had higher intakes of grains, fruits, and vegetables, while the intake of meat was significantly lower. In both men and women, the group with higher seafood intake showed higher energy and micronutrient intakes. The frail prevalence and frailty score were significantly low in the highest tertiles of seafood consumption compared to the lowest tertile in men and women (p < 0.001). After adjusting for confounder, the highest tertile of seafood consumption showed a decreased risk of frailty compared to the lowest tertile only in women (hazard ratio [HR], 0.50; 95% confidence interval [CI], 0.32-0.78; p-trend = 0.008 vs. HR, 0.52; 95% CI, 0.32-0.83; p-trend = 0.008; respectively). Conclusion: Results of this study suggest that seafood consumption potentially decreases the risk of frailty in the elderly.

Computation of Criterion Rainfall for Urban Flood by Logistic Regression (로지스틱 회귀에 의한 도시 침수발생의 한계강우량 산정)

  • Kim, Hyun Il;Han, Kun Yeun
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.39 no.6
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    • pp.713-723
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    • 2019
  • Due to the climate change and various rainfall pattern, it is difficult to estimate a rainfall criterion which cause inundation for urban drainage districts. It is necessary to examine the result of inundation analysis by considering the detailed topography of the watershed, drainage system, and various rainfall scenarios. In this study, various rainfall scenarios were considered with the probabilistic rainfall and Huff's time distribution method in order to identify the rainfall characteristics affecting the inundation of the Hyoja drainage basin. Flood analysis was performed with SWMM and two-dimensional inundation analysis model and the parameters of SWMM were optimized with flood trace map and GA (Genetic Algorithm). By linking SWMM and two-dimensional flood analysis model, the fitness ratio between the existing flood trace and simulated inundation map turned out to be 73.6 %. The occurrence of inundation according to each rainfall scenario was identified, and the rainfall criterion could be estimated through the logistic regression method. By reflecting the results of one/two dimensional flood analysis, and AWS/ASOS data during 2010~2018, the rainfall criteria for inundation occurrence were estimated as 72.04 mm, 146.83 mm, 203.06 mm in 1, 2 and 3 hr of rainfall duration repectively. The rainfall criterion could be re-estimated through input of continuously observed rainfall data. The methodology presented in this study is expected to provide a quantitative rainfall criterion for urban drainage area, and the basic data for flood warning and evacuation plan.

A study on nutritional intakes in middle income adults based on data from the 5th Korean National Health and Nutrition Examination Survey (제5기 국민건강영양조사 자료를 이용한 중산층 성인의 영양소 섭취실태 연구)

  • Kim, Ji-Myung;Kim, Hye Sook;Kim, Ki Nam
    • Journal of Nutrition and Health
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    • v.48 no.4
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    • pp.364-370
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    • 2015
  • Purpose: This study was conducted to evaluate nutritional status in middle-class adults compared with low income or high income adults according to gender difference. Methods: Data from the 2012 Korea National Health and Nutrition Examination Survey was used. A total of 7,082 adults aged from 30 to 64 were included and classified according to household income level into three groups. Dietary data was collected using 24-hr recall methods. Results: Most nutrients including energy, protein, vitamins, and minerals such as iron and calcium differed according to income levels. Iron intake of middle-class men was higher than that of the lowest income group, whereas that of middle-class women was similar to that of the lowest income group. In addition, no significant difference in carbohydrate, protein, fat, thiamin, and niacin intakes per 1,000 kcal and iron intake was found between the middle and high income group only in male subjects. In summary, our results showed that the relationship between nutritional status and income level as a socioeconomic parameter could vary according to gender difference. Conclusion: According to our results, it could be suggested that not only the lowest income people but also middle class women should be concerned in development of nutritional policies. Gender difference should be considered. It is a very meaningful implication for application to policy for obesity prevention or intervention.

A Derivation of Regional Representative Intensity-Duration-Frequency Relationship Using Multivariate Analysis (다변량 분석을 이용한 권역별 대표확률강우강도식의 유도)

  • Lee, Jung-Sik;Cho, Seong-Geun;Jang, Jin-Uk
    • Journal of the Korean Society of Hazard Mitigation
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    • v.7 no.2 s.25
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    • pp.13-24
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    • 2007
  • This study is to derive the rainfall intensity formula based on the representative probability distribution using multivariate analysis in Korea. The annual maximum rainfall data at 57 stations having more than 30years long records were used for 12 durations(10min, 1, 2, 3, 4, 5, 6, 8, 10, 12, 18, 24hr). 50 rainfall characteristics elements are analyzed from the collected data. The widely used 14 probability distributions are applied to the basic data in hydrologic frequency analysis. The homogeneous tests(principal component and cluster analysis) are applied to find the rainfall homogeneity. The results of this study are as followings; (1) The homogeneous test shows that there is no appropriate representative distribution for the whole duration in Korea. But hydrological homogeneous regions of point rainfall could be divided by 5 regions. (2) The GEV distribution for zones I, III, IV, V and the Gumbel distribution for zone II are determined as the representative probability distribution. (3) Comparative analysis of the results shows that the probable rainfalls of representative zones are different from those of existing researches. (4) Rainfall intensity formulas are determined on the basis of the linearization technique for the probable rainfall.

The Methodology for Prediction and Control of Hazardous Chlorine Gas Flow Releases as Meteorological Data (기상조건에 따른 유해독성염소가스의 가상흐름누출에 관한 예측 및 제어론)

  • Kim, Jong-Shik;Park, Jong-Kyu
    • Applied Chemistry for Engineering
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    • v.10 no.8
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    • pp.1155-1160
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    • 1999
  • The screening methodology modeling, dispersion modeling procedures for continuous and instantaneous releases of the gas phase flow from the storage tank and pressure relief valve were considered. This study was performed to develop the screening methodology for prediction and control of hazardous/toxic gas releases by estimating the 1-hr average maximum ground-level concentration of $Cl_2$ gas vs. downwind distance by incorporating source term model including the general/physical properties of released material and release mode of the $Cl_2$ storage tank of the chemical plant facilities, dispersion model, and meteorological/topographical data into the TSCREEN model. As the results of the study, it was found that dispersion modes of the dense gas were affected by the state of the released material, the released conditions, physical-chemical properties of released material, and the released modes (continuous and instantaneous releases), and especially largely affected by initial (depressurized) density of the released material and release emission rate as well as the wind velocity. Especially, this study was considered to release hazardous material as meteorological data. It was thought that this screening methodology can be useful as a preliminary guideline for application of the refined analysis model by developing the generic sliding scale methodology for various senarios selected.

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