• 한국관개배수논문집
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• 제16권1호
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• pp.41-45
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• 2009

• 대기
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• 제24권1호
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• pp.89-99
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• 2014

Recently, several studies pointed out that there are distinct two types of El Ni$\tilde{n}$o events based on the spatial pattern of SST. Since the two types of El Ni$\tilde{n}$o have different impacts on global climate, it is quite important to identify the type to assess and predict the regional climate variability. So far, however, there are still many different definitions to identify the two types of El Ni$\tilde{n}$o from the different studies. In this study, we investigated a sensitivity of the impacts on climate variability over the Korean Peninsula corresponding to the definition of two-types of El Ni$\tilde{n}$o. After checking pre-existing definitions and other possible definition, it is suggested here that two different definitions exhibit relatively strong relationship between El Ni$\tilde{n}$o events and the Korean climate variables when two types of El Ni$\tilde{n}$o are separated. In addition to the Korean climate, the two types of El Ni$\tilde{n}$o show quite distinct global teleconnection patterns when the definitions are used.

• Journal of Forest and Environmental Science
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• 제28권2호
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• pp.106-117
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• 2012

In an effort to analyze the impact of climate change, Gangwon provincial forest was divided into three sectors; forest ecology, forest disaster, and forest productivity and analysis of their current status from 2000 to 2009 and vulnerability assessment by climate change has been carried in this study. In case of vulnerability assessment, except for the forest ecology, forest disaster (forest fires and forest pests) and forest productivity sectors were analyzed in current status, the year of 2020, and 2050. It turned out that vulnerability of forest fires in the field of disaster would become worse and forest pests also would make more impact even though there is some variation in different areas. In case of the vulnerability of forest productivity there would be not a big difference in the future compared with current vulnerability. Systematic research on the sensitivity index used for vulnerability assessment is necessary since vulnerability assessment result greatly depends on the use of climate exposure index and adaptive capacity index.

• 환경영향평가
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• 제20권6호
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• pp.891-905
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• 2011

Climate vulnerability index is usually defined as a function of the climate exposure, sensitivity, and adaptive capacity, which requires adequate selection of proxy variables of each variable. We selected and used 9 proxy variables related to climate exposure in the literature, and diagnosed the adequacy of them for application in Korean peninsula. The selected proxy variables are: four variables from temperature, three from precipitation, one from wind speed, and one from relative humidity. We collected climate data over both previous year (1981~2010) and future climate scenario (A1B scenario of IPCC SERES) for 2020, 2050, and 2100. We introduced the spatial and temporal diagnostic statistical parameters, and evaluated both spatial and time variabilities in the relative scale. Of 9 proxy variables, effective humidity indicated the most sensitive to climate change temporally with the biggest spatial variability, implying a good proxy variable in diagnostics of climate change vulnerability in Korea. The second most sensitive variable is the frequency of strong wind speed with a decreasing trend, suggesting that it should be used carefully or may not be of broad utility as a proxy variable in Korea. The A1B scenario of future climate in 2020, 2050 and 2100 matches well with the extension of linear trend of observed variables during 1981~2010, indicating that, except for strong wind speed, the selected proxy variables can be effectively used in calculating the vulnerability index for both past and future climate over Korea. Other local variabilities for the past and future climate in association with climate exposure variables are also discussed here.

• 한국방재학회:학술대회논문집
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• 한국방재학회 2008년도 정기총회 및 학술발표대회
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• pp.695-698
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• 2008

기후변화와 지구온난화현상은 지구 전체에 걸쳐 분명하게 나타나고 있으며 그에 따라 발생할 수 있는 수문 변화에 대한 연구가 다양하게 이루어지고 있다. 본 연구에서는 기후변화에 따른 수문 변동 분석을 위하여 SWAT 모형을 이용하였으며 금강 상류유역에 적용하였다. 모형의 보정은 1982-1995년의 월평균 하천유량을 이용하였고 1996-2005년의 자료를 이용하여 검증하였다. 기후변화에 따른 수문 변동을 정량적으로 분석하기 위하여 1988-2002년을 기준시나리오 기간으로 설정하였으며 이산화탄소 농도, 기온, 강수의 변화에 따른 총 6개의 시나리오를 구성하였다. 시나리오 $1\sim6$은 수문 변화의 민감도를 나타내는 시나리오로 배증 이산화탄소를 반영하는 시나리오는 평균 11%의 하천유량 증가를 예측하였고, -42, -17, 17, 42%의 강수량 변화에 따라서는 -55, -24, 26, 65%의 하천유량 증감이 예측되었다.

• 한국컴퓨터정보학회논문지
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• 제24권5호
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• pp.121-130
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• 2019

The purpose of this study was to explore the level of the moral distress for nurses working in long-term care hospitals or nursing homes, and identify factors that influence the moral distress. Data were collected through self-reported questionnaires including the Korean version of Moral Distress Scale-Revised (KMDS-R), Jefferson Empathy Scale for Health professionals (K-JSE-HP), Moral Sensitivity Questionnaire (K-MSQ), and the Hospital Ethical Climate Survey (HECS). A total of 194 nurses from 11 long-term care hospitals or 27 nursing homes completed the structured questionnaires. Data were analyzed using IBM SPSS Statistics version 25. As results, the mean score for moral distress was $73.81{\pm}51.29$ in this study. The moral distress of nurses working at nursing homes was higher than that of nurses working in long-term care hospitals. Among the sub-factors of moral distress, the 'futile care' was the highest score and the 'limit to claim the ethical issue' was the lowest. The main factor affecting moral distress among nurses in this study was the ethical climate of organization. In this paper, we propose that in order to effectively reduce the moral distress of nurses working in a long-term care hospital or a nursing home, it is more impactful to address structural issues related to the caregiver workplace than to adjust individual factors.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2016년도 학술발표회
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• pp.117-117
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• 2016

The natural hydrologic regime is intimately tied to the structure and function of stream and riparian ecosystems. Consequently, understanding the nature and extent of perturbations to the hydrologic regime, stemming from episodic-to-seasonal and longer-term climatic variations, as well as anthropogenic influences is an important starting point for developing an improved understanding of the coupled human-environmental systems. Herein, we pursued to explicate sensitivity of ecologically relevant flow metrics to climate variability and extremes in the five major river basins, Korea.

• 한국초등과학교육학회지:초등과학교육
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• 제43권1호
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• pp.158-169
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• 2024

본 연구에서는 기후변화와 프로젝트 수업이 초등학생의 기후변화에 대한 인식 및 태도, 환경소양에 어떠한 영향을 미치는지 알아보았다. 이를 위하여 광역시 소재의 초등학교 6학년 학생 174명(남학생 77명, 여학생 97명)의 학생을 대상으로 12차시 분량의 기후변화 프로젝트 수업을 실시한 후 학생들의 기후변화에 대한 인식 및 태도, 환경소양 수준의 변화를 분석하였다. 연구 결과, 기후변화 프로젝트 수업은 초등학생의 기후변화에 대한 인식 및 태도에 긍정적인 영향을 미쳤다. 프로젝트 학습 과정에서 기후변화 문제와 관련하여 서로 조사한 내용을 공유하고 소통하면서 학생들의 기후변화에 대한 인식 및 태도가 함양된 것으로 판단된다. 또한 기후변화 프로젝트 수업은 초등학생의 환경소양에 긍정적인 영향을 미쳤다. 구체적으로 환경태도 및 가치, 환경 친화적 행동 영역에서는 긍정적인 변화가 관찰되었지만 환경감수성 영역에서는 유의한 변화가 나타나지 않았다. 본 연구는 과학 및 환경 관련 교육학 분야에서 강조되고 있는 기후변화 문제를 소재로 한 기후변화 프로젝트 수업의 교육적 효과를 논의하고 시사점을 제안했다는 점에서 의미가 있다.

• 한국농공학회논문집
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• 제55권1호
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• pp.31-38
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• 2013

The purpose of this study was to evaluate climate change vulnerability over the agricultural infrastructure in terms of flood and drought using principal component analysis. Vulnerability was assessed using vulnerability resilience index (VRI) which combines climate exposure, sensitivity, and adaptive capacity. Ten flood proxy variables and six drought proxy variables for the vulnerability assessment were selected by opinions of researchers and experts. The statistical data on 16 proxy variables for the local governments (Si, Do) were collected. To identify major variables and to explain the trend in whole data set, principal component analysis (PCA) was conducted. The result of PCA showed that the first 3 principal components explained approximately 83 % and 89 % of the total variance for the flood and drought, respectively. VRI assessment for the local governments based on the PCA results indicated that provinces where having the relatively large cultivation areas were categorized as vulnerable to climate change.

• Water Engineering Research
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• 제5권2호
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• pp.81-99
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• 2004

Long term streamflow regime under virtual climate change scenario was examined. Rainfall forecast simulation of the Canadian Global Coupled Model (CGCM2) of the Canadian Climate Center for modeling and analysis for the IPCC SRES B2 scenario was used for analysis. The B2 scenario envisions slower population growth (10.4 billion by 2010) with a more rapidly evolving economy and more emphasis on environmental protection. The relatively large scale of GCM hinders the accurate computation of the important streamflow characteristics such as the peak flow rate and lag time, etc. The GCM rainfall with more than 100km scale was downscaled to 2km-scale using the space-time stochastic random cascade model. The HEC-HMS was used for distributed hydrologic model which can take the grid rainfall as input data. The result illustrates that the annual variation of the total runoff and the peak flow can be much greater than rainfall variation, which means actual impact of rainfall variation for the available water resources can be much greater than the extent of the rainfall variation.