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최원일(Won-il Choi),최은화(Eun-hwa Choi),전성곤(Seong-kon Jeon) 한국지반신소재학회 2017 한국지반신소재학회 논문집 Vol.16 No.3
본 연구에서는 도심지 토사재해 예비중점관리대상지역 76개중 9개 지역을 연구 지역으로 선정하였다. 연구 지역 은 기반암 특성별로 퇴적암류 3개 지역(경산시, 고흥군, 대구광역시), 화성암류 3개 지역(대전광역시, 세종특별자치시, 원주시), 변성암류 3개 지역(남양주시, 의왕시, 인제군)으로 분류하였으며, 9개 지역을 대상으로 지반정수 산정에 필요한 시험과 수목에 대한 뿌리 점착력, 수목하중을 예측 모형과 현장 조사를 통해 분석하였다. 강우시나리오(강우강도)는 부산 APEC 기후센터(APCC) 에서 제공한 확률강우량을 적용하였으며, 9개 지역의 토사재해 위험도 예측은 TRIGRS와 LSMAP을 이용하였다. TRIGRS 예측 결과, 평균적으로 퇴적암류 지역의 위험지역은 30.45%, 화성암류 지역의 위험지역은 41.03%, 변성암류 지역의 위험지역은 45.04%로 검토되었다. 수관 밀도에 따른 뿌리 점착력과 수목하중을 고려한 LSMAP 예측 결과, 퇴적암류 지역의 위험지역은 1.34%, 화성암류 지역의 위험지역은 2.76%, 변성암류 지역의 위험지역은 1.64%로 검토되었다. TRIGRS를 이용한 분석보다 LSMAP을 통한 분석이 비교적 국소적으로 예측 가능한 것으로 검토되었다. For the purpose of the study, of the 76 areas subject to preliminary concentrated management on sediment disaster in the downtown area, 9 areas were selected as research areas. They were classified into three stratified rock areas (Gyeongsan City, Goheung-gun and Daegu Metropolitan City), three igneous rock areas (Daejeon City, Sejong Special Self-Governing City and Wonju City) and three metamorphic rock areas (Namyangju City, Uiwang City and Inje District) according to the characteristics of the bedrock in the research areas. As for the 9 areas, analyses were conducted based on tests required to calculate soil characteristics, a predictive model for root adhesive power, loading of trees and on-the-spot research. As for a rainfall scenario (rainfall intensity), the probability of rainfall was applied as offered by APEC Climate Center (APCC) in Busan. As for the prediction of landslide risks in the 9 areas, TRIGRS and LSMAP were applied. As a result of TRIGRIS prediction, the risk rate was recorded 30.45% in stratified rock areas, 41.03% in igneous rock areas and 45.04% in metamorphic rock areas on average. As a result of LSMAP prediction based on root cohesion and the weight of trees according to crown density, it turned out to a 1.34% risk rate in the stratified rock areas, 2.76% in the igneous rock areas and 1.64% in the metamorphic rock areas. Analysis through LSMAP was considered to be relatively local predictive rather than analysis using TRIGRS.
최원일(Won Il Choi),박기혁(Ki Hyuk Park),김현호(Hyun Ho Kim),김증호(Jeoung Ho Kim) 대한인간공학회 2009 대한인간공학회 학술대회논문집 Vol.2009 No.11
This study was aimed to analyze for characteristics of Musculoskeletal disorders (MSDs) based on the industrial accident statistics. In this study MSDs cases of Food-Accommodation Industry in 2008, 352cases, were investigated. First of all, for the analysis of a wide view point concerning the characteristics of MSDs, We have inspected characteristics of the user population (i.e. age, gender, employed periods, etc.). Secondly, work-related risk factors such as repetitive motions, awkward postures were analyzed in terms of disease code, injured part of body, etc. Next, characteristics of handling of heavy materials were analyzed according to weight, agency of cause, etc. Finally, we have compared and analyzed the features between the period of hospitalization and other variables. In addition to that we also conducted statistics analysis. The study results showed that there were significant characteristics of MSDs that could be used as basis data for the MSDs prevention policy.
흡입용 베타 - 2 교감신경작용제가 심전도 QTc 간격 및 혈청칼륨에 미치는 영향
최원일(Won Il Choi),한승범(Seung Beom Han),전영준(Young June Jeon) 대한내과학회 1996 대한내과학회지 Vol.51 No.1
N/A Objectives: Despite major advances in understanding of pathogenesis and treatment, the mortality associated with bronchial asthma has risen progressively since 1977. Analysis of contemporary medical history indicates that at least some excess deaths in bronchial asthma is related to the use of inhaled beta-adrenergic agonists. So we undertook a study to examine the effects of inhaled beta-2 agonist in obstructive airway disease patients group whether it can produce abnormal cardiac function even in usual dosage. Methods: Heart rate, QTc interval, and serum potassium changes after inhalation of salbutamol were studied in 20 normal controls, 11 asthmatic patients, and 9 chronic obstructive pulmonary disease (COPD) patients. Base-line serum potassium level and electrocardiogram were taken just before and 60 minutes after 2 puffs(200㎍) inhalation of salbutamol. Three days later, repeated base-line serum potassium and electrocardiogram were taken just before and 60 minutes after 4 puffs(400 ㎍) inhalation of salbutamol. Results: The serum potassium concentraton was changed in normal control and COPD subjects, but statistical singificance was not found. Prolongation of the QTc interval was significant in asthma and COPD subjects after 4 puffs inhalation of salbutamol (p<0.05). Changes in QTc interval following 2 puffs inhalation of salbutamol was significant only in COPD subjects (p=0.05). Conclusion: Salbutamol causes QTc prolongation in bronchial asthma and COPD patients group in usual dosage. Futher studies are recommanded to evlauate the clinical significancy of QTc prolongation after inhaled beta-2 agonist use.
최원일(Won-Il Choi),최은화(Eun-Hwa Choi),서진원(Jin-Won Suh),전성곤(Seong-Kon Jeon) 한국지반환경공학회 2016 한국지반환경공학회논문집 Vol.17 No.6
기존의 토사재해 위험지역 예측은 토질특성과 경사만으로 분석되기 때문에 지역적 특징이 반영되어 있지 않다. 따라서 보다 합리적인 위험지 예측・분석을 위하여 해당지역의 특징을 반영한 토사재해 위험지 예측을 할 필요가 있다. 토사재해 위험지의 특징 중 하나인 수목의 뿌리는 토사 내 점착력을 증가시키는 작용을 하는 것으로 연구되어 왔으며, 수목의 종류에 따라 그 영향이 다른 것으로 알려져 있다. 또한, 지역에 따라 수목의 밀집 정도(수관밀도)가 다양하기 때문에 실제 수목의 분포를 고려하여 토사재해 위험지역 예측을 한다면 보다 합리적인 위험지 예측이 가능할 것이다. 본 연구에서는 세종시 괴화산 일대를 중심으로 수목의 수관밀도를 고려한 뿌리점착력을 사용하여 토사재해 위험지역 예측을 하였으며, 뿌리점착력을 적용하지 않은 토사재해 위험지역예측 결과와 비교하였다. Since the landslide hazard areas prediction was analyzed by slope-angle and soil properties, regional characteristics is not taken. Therefore, in order to make more rational prediction, it is necessary to consider the characteristics of the region. Tree roots have been known to increase soil cohesion in landslide hazard areas and to vary the degrees depending on the tree type. In addition, a reasonable prediction of landslide hazard areas can be made by considering crown density based on crown distribution patterns of the area of interest. In this study, using the roots cohesion considering the crown density of the trees, which is in the landslides risk areas around Mt. Gwehwa in Sejong City, the landslides risk areas were predicted and compared with predicted results obtained by not considering root cohesion.