• 한국기후변화학회지
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• 제7권4호
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• pp.373-381
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• 2016

Before the Conference of Parties (COP) 21 of the United Nations Framework Convention on Climate Change (UNFCCC) in 2015, most parties of UNFCCC had submitted their intended nationally determined contributions (INDCs) and to achieve their voluntary targets, some parties consider using international market mechanisms. As one of such mechanisms, Japan promoted its own bilateral mechanism called Joint Crediting Mechanism (JCM). In this study, feasibility studies and projects under JCM have been analyzed by project type, sector, country and region, which could provide some implications in designing Korea's future climate policy to achieve Korea's targets of 11.7% using international market mechanism in INDC. Since 2010, JCM has promoted 542 projects and feasibility studies in 44 countries according to the Institute for Global Environmental Strategies (IGES) database. Among 542 projects, about 80% were feasibility studies implying that JCM was more focused on project identification. However, current trends of JCM show that more projects will be soon implemented based on these feasibility studies. For sectoral categorization, projects were categorized into seven sectors-energy technology, energy efficiency, renewable energy, waste management, city, strategic planning and projects related to the country's efforts to reduce emissions from deforestation and forest degradation (REDD+). JCM projects were mitigation focused with more than 70% of projects were related to energy efficiency, renewable energy and energy technology. At the regional and country level, JCM is highly focused on Asia and especially, more than 100 projects were developed in Indonesia. Based on the analysis of JCM, in order to develop bilateral international mechanism for Korea, it is worthwhile to emphasize that Korea considers Asian countries as her partner. In addition, Korea may consider the collaboration with Multilateral Development Banks (MDBs) to implement projects identified by Korea and Asian partner countries. Furthermore, strategically, it is recommendable to develop jointly with Japan who has already capacity and networks with other Asian countries to mitigate GHG emissions. Such financial resources from MDBs and Japan may contribute to meet the 11.3% of GHG reduction target from abroad according to INDC of Korea.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2016년도 학술발표회
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• pp.204-204
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• 2016

Thailand had set the National Water Management Strategy which covered main six areas in the next 12 years, i.e., by priority: (1) water for household, (2) water for agricultural and industrial production, (3) water for flood and drought management, (4) water for quality issue, (5) water from forest conservation and soil erosion protection, (6) water resources management. However due to the climate change impact, there is a question for all strategies is whether to complete this mission under future climate change. If the impact affects our target, we have to clarify how to mitigate or to adapt with it. Vulnerability assessment was conducted under the framework of ADB's (with the parameters of exposure, sensitivity and adaptive capacity) and the assessments were classified into groups due to their different characteristic and the framework of the National Water Management Strategy, i.e., water supply (rural and urban), water for development (agriculture and others), water disasters (floods (flash, overflow), drought, water quality). The assessments identified the parameters concerned and weight factors used for each groups via expert group discussions and by using GIS mapping technology, the vulnerability maps were produced. The maps were verified with present water situation data (floods, drought, water quality). From the analysis result of this water resources management strategy, we found that 30% of all projects face the big impacts, 40% with low impact, and 30% for no impact. It is clear that water-related agencies have to carefully take care approximately 70% of future projects to meet water resources management strategy. It is recommended that additional issues should be addressed to mitigate the impact from climate risk on water resource management of the country, i.e., water resources management under new risk based on development scenarios, relationship with area-based problems, priority definition by viewpoints of risk, vulnerability (impact and occurrence probability in past and future), water management system in emergency case and water reserve system, use of information, knowledge and technology in management, network cooperation and exchange of experiences, knowledge, technique for sustainable development with mitigation and adaptation, education and communication systems in risk, new impact, and emergency-reserve system. These issues will be described and discussed.

• 한국기후변화학회지
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• 제6권2호
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• pp.95-104
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• 2015

To discuss whether we have credible estimations about historical surface temperature evolution since industrial revolution or not, present study investigates consistencies and differences of averaged surface air temperature since 1900 between the multiple data sources: Hadley Center Climate Research Unit (HadCRU4) surface air temperature data, ECMWF 20 Century Reanalysis data (ERA20CR), and NCEP 20 Century Reanalysis data (NCEP20CR). Averaged surface temperatures are obtained for the global, polar (90S~60S, 60N~0N), midlatitude (60S~30S, 30N~60N), tropical (30S~30N) region, separately. From the analysis, we show that: 1) spatio-temporal inhomogenity and scarcity of HadCRU4 data are not major obstacles in the reliable estimation of global surface air temperature. 2) Globally averaged temperature variability is largely contributed by those of tropical and midlatitude, which occupy more than 70% of earth surface in area. 3) Both data show consistent temperature variability in tropical region. 4) ERA20CR does not capture warm period over Arctic region in early 1900s, which is obvious feature in HadCRU4 data. Discrepancies among datasets suggest that high-level caution is needed especially in the interpretation of large Arctic warming in the early 1900s, which is often regarded as a natural variability in the Arctic region.

• 디지털융복합연구
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• 제20권5호
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• pp.897-908
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• 2022

본 연구의 목적은 개인의 학습 자기효능과 기업의 혁신적 지식전달과 같은 학습전이풍토가 디자이너의 특성을 고려한 디자인 역량강화교육과 개인성과와의 관계에서 매개역할을 할 것이라는 가설을 증명하는 것에 있다. 이는 단순히 교육의 만족도를 조사하는 기존의 연구와는 달리 디자이너의 특성에 근거한 학습 자기효능감과 디자이너가 조직의 문화에 영향을 주는 학습전이 풍토에 대한 정량적 분석을 하여 디자인 교육훈련의 의미를 확장하는데 의의가 있다. 구체적으로 본 연구에서는 7개의 가설을 설정하였고, 그 결과 디자이너 대상 디자인 역량강화 교육과 학습 자기효능감, 기업의 학습전이풍토는 개인성과에 유의한 영향을 미치는 것으로 나타났다.

• 한국습지학회지
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• 제24권2호
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• pp.102-114
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• 2022

글로벌 기후변화는 국제적 협력을 통해서만 해결 방안을 모색할 수 있다. 기후변화는 자연적 및 인위적 원인에 의하여 발생할 수 있으며, 그중에서 인위적 원인에 의한 기후변화 영향물질의 배출량을 줄이는 정책은 중요한 대응 정책이다. 본 연구는 문헌 연구를 통하여 유럽연합(EU)의 온실가스 감축 대응 정책 수립에 좋은 사례에 해당하는 독일의 토지이용 및 산림(Land Use-Land Use Change and Forestry:LULUCF) 정책을 한국의 정책과 비교함으로써 한국의 LULUCF 정책방향을 제시하고자 수행되었다. 독일의 LULUCF 정책은 시너지 효과를 위하여 다양한 정책분야에 초점을 맞추고 있는 반면 한국의 LULUCF 정책은 산림 부문에 편향되어 있다. 한국의 LULUCF 정책은 산림에 초점을 맞추고 있음에도 불구하고 기초 연구는 다소 미흡한 실정이며, 기존 환경정책과의 연계성도 낮은 것으로 나타났다. 따라서 한국의 LULUCF 정책은 농업정책, 환경정책 및 타 분야로의 확장이 필요한 것으로 평가되었다.

• 문화기술의 융합
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• 제10권3호
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• pp.675-681
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• 2024

본 연구는 노인장기요양 시설의 요양보호사를 대상으로 요양보호사의 직무특성과 조직의 맥락적 성과에 관한 매개효과를 실증 검증한 연구로서 직무태도, 조직풍토의 이중매개효과를 실증분석 하는 것을 목적으로 한다. 본 연구를 위하여 노인장기요양 시설에서 근무하고 있는 요양보호사 274명을 대상으로 하였다. 수집한 자료 분석은 SPSS Process macro를 사용하였다. 다음과 같은 연구결과가 나왔다. 먼저, 요양보호사의 직무특성, 직무태도, 조직풍토, 맥락적 성과는 유의미한 정적 상관관계를 가지고 있었다. 둘째, 요양보호사의 직무특성과 맥락적 성과 사이에 직무태도, 조직풍토는 이중매개효과가 있었다. 셋째, 요양보호사의 직무특성과 맥락적성과 사이에 직무태도와 조직풍토는 유의한 매개효과 경로가 있는 것으로 확인되었다. 연구를 바탕으로 요양보호사의 직무성과를 향상할 수 있는 심리적인 자발적인 직무역량 방안 마련과 후속 연구를 제안하였다.

• 기술혁신연구
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• 제22권2호
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• pp.247-285
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• 2014

급변하는 경영환경에 적응하기 위한 조직에서 변혁적 리더십과 창의적 분위기 개념이 중요함에도 실제로 조직구성원의 혁신성과와 관련된 실증적 연구가 부족하였다. 본 연구에서는 IT서비스 분야의 연구개발 조직을 대상으로 변혁적 리더십과 조직구성원의 혁신성과의 관계에 대해 검증하였다. 또한 그 관계에 있어 창의적 분위기의 매개효과와 조직구성원의 혁신성향으로 인한 조절효과에 대해서도 검증하였다. 본 연구의 주요 결론은 다음과 같다. 변혁적 리더십과 조직구성원의 혁신성과의 관계 및 창의적 분위기와 혁신성과의 관계도 유의미하게 나타났으며, 창의적 분위기는 변혁적 리더십과 혁신성과 관계에 부분매개효과가 있는 것으로 나타났다. 또한 혁신성향의 조절효과 역시 통계적으로 유의미한 것으로 나타났다. 이와 같은 실증 연구 결과를 바탕으로 본 연구에서는 조직의 혁신 성과에 있어서 리더십과 창의적 분위기 조성의 관련성을 증명하였다. 뿐만 아니라 조직구성원 개인 성향에 대한 이해를 기반으로 창의적 분위기 조성을 위한 리더의 역할이 중요함을 강조하였다. 이러한 시사점을 바탕으로 추후 연구를 위하여 선행 연구 모델의 개념을 확장한 '창의성 생성 모델' 개념을 제안하였다.

• 농촌계획
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• 제25권1호
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• pp.75-87
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• 2019

As the impacts of climate change have been emerged all the way through society, the potential risks specifically on agricultural water and facilities are recently getting concerned. Evaluating vulnerability of agriculture to climate change on is a time-tested strategy. While a number of researches on the adaption and mitigation of climate change were performed in various aspects for sustainable agricultural production, the vulnerability of management system for agricultural water and infrastructure has not been investigated yet. This study is aimed to clarify the definition of vulnerability to climate change, find the major indicators able to presume the vulnerability, and finally determine the relative importance of the indicators based on the specialist questionnaire survey and its analyses. The lists of indicators for major parts of agricultural water management such as, water use, flood control, reservoir related issues, and pumping and drainage systems are initialized referring to the related precedent studies. The primary survey was conducted in the form of Delphi to complement the list and methods and the main survey was then conducted using AHP(Analytic Hierarchy Process) technique to quantitatively prioritize the indicators. The results derived in this study would be directly adopted in weighting importance of indicators to investigate the indicator-based vulnerability analysis to climate change in agricultural water and infrastructure management.

• 한국농공학회논문집
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• 제64권5호
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• pp.27-39
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• 2022

The smart farm is recognized as a solution for future farmers having positive effects on the sustainability of the poultry industry. Intelligent microclimate control can be a key technology for broiler production which is extremely vulnerable to abnormal indoor air temperatures. Furthermore, better control of indoor microclimate can be achieved by accurate prediction of indoor air temperature. This study developed predictive models for internal air temperature in a mechanically-ventilated broiler house based on the data measured during three rearing periods, which were different in seasonal climate and ventilation operation. Three machine learning models and a mechanistic model based on thermal energy balance were used for the prediction. The results indicated that the all models gave good predictions for 1-minute future air temperature showing the coefficient of determination greater than 0.99 and the root-mean-square-error smaller than 0.306℃. However, for 1-hour future air temperature, only the mechanistic model showed good accuracy with the coefficient of determination of 0.934 and the root-mean-square-error of 0.841℃. Since the mechanistic model was based on the mathematical descriptions of the heat transfer processes that occurred in the broiler house, it showed better prediction performances compared to the black-box machine learning models. Therefore, it was proven to be useful for intelligent microclimate control which would be developed in future studies.

• 한국농공학회논문집
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• 제66권1호
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• pp.49-66
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• 2024

Extreme rainfall will become intense due to climate change, increasing inundation risk to agricultural land. Hydrological and hydraulic simulations for the entire watershed were conducted to analyze the impact of climate change. Rainfall data was collected based on past weather observation and SSP (Shared Socio-economic Pathway)5-8.5 climate change scenarios. Simulation for flood volume, reservoir operation, river level, and inundation of agricultural land was conducted through K-HAS (KRC Hydraulics & Hydrology Analysis System) and HEC-RAS (Hydrologic Engineering Center - River Analysis System). Various scenarios were selected, encompassing different periods of rainfall data, including the observed period (1973-2022), near-term future (2021-2050), mid-term future (2051-2080), and long-term future (2081-2100), in addition to probabilistic precipitation events with return periods of 20 years and 100 years. The inundation area of the Aho-Buin district was visualized through GIS (Geographic Information System) based on the results of the flooding analysis. The probabilistic precipitation of climate change scenarios was calculated higher than that of past observations, which affected the increase in reservoir inflow, river level, inundation time, and inundation area. The inundation area and inundation time were higher in the 100-year frequency. Inundation risk was high in the order of long-term future, near-term future, mid-term future, and observed period. It was also shown that the Aho and Buin districts were vulnerable to inundation. These results are expected to be used as fundamental data for assessing the risk of flooding for agricultural land and downstream watersheds under climate change, guiding drainage improvement projects, and making flood risk maps.