• Nuclear Engineering and Technology
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• 제56권7호
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• pp.2850-2858
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• 2024

Amidst the uncertainties of climate policy, investing in nuclear energy technology emerges as a sustainable strategy, fostering innovation in a critical sector, while simultaneously addressing urgent environmental concerns and managing budgetary dynamics. Our investigation inspects the asymmetric influence of climate policy uncertainty on nuclear energy technology in the top 10 nations with the highest nuclear energy R&D budgets (Germany, Japan, China, France, USA, UK, India, South Korea, Russia, and Canada). Previous studies adopted panel data methods to evaluate the linkage between climate policy uncertainty and nuclear energy technology. Nonetheless, these investigations overlooked the variability in this association across various countries. Conversely, this investigation introduces an innovative tool, 'Quantile-on-Quantile' to probe this connection merely for every economy. This methodology concedes for a more accurate evaluation, offering a holistic global perspective and delivering tailored insights for individual countries. The findings uncover that climate policy uncertainty significantly reduces nuclear energy technology budgets across multiple quantiles in most selected economies. Additionally, our results highlight the asymmetries in the correlations between our variables across the nations. These findings stress the need for policymakers to conduct thorough assessments and skillfully manage climate policy uncertainty and nuclear energy budgets.

• 자원ㆍ환경경제연구
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• 제26권3호
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• pp.359-398
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• 2017

에너지 및 기후변화 정책을 수립하는 데 있어 경제모형은 중요한 역할을 한다. 자원의 효율적인 사용에 관한 경제이론을 바탕으로 공공의 정책을 평가하고 나아가야 할 방향을 제시할 수 있기 때문이다. 개인의 의사결정뿐 아니라 공공의 의사결정에서 불확실성은 중요한 영향을 미친다. 최근 학계를 중심으로 에너지 및 기후변화 문제와 관련하여 불확실성이 모형의 결과에 미치는 영향이 강조되고 있으며, 몇몇 모형들에서는 불확실성을 명시적으로 반영하고 있다. 그러나 국내에서 사용하고 있는 에너지 및 기후경제 모형의 경우 대체로 결정론적인 분석틀을 사용하고 있어 에너지 및 기후변화 문제가 갖고 있는 불확실성을 반영하지 못한다는 문제점이 있다. 발생 가능한 다양한 경우에 대해서도 견고한 의사결정의 중요성이 강조되고 있다는 측면에서도 불확실성 분석의 필요성은 더욱 커지고 있다. 이에 이 논문은 불확실성 분석에 관한 이론을 검토하고, 이론에 근거해 불확실성과 관련한 에너지 및 기후경제 모형의 최근 연구 결과를 분석하며, 국내 모형들이 불확실성 분석을 수행할 수 있는 방법을 제안한다. 또한 수치 모형 응용으로서 FUND 모형을 불확실성을 반영해 수정한 후 국내 기후변화 피해비용을 분석하였다. 이 논문은 에너지 및 기후경제 모형과 관련하여 불확실성 분석 관련 내용을 종합적으로 검토하고 향후 국내 모형에서 적용할 수 있는 방안을 제시한다는 점에서 기여하는 바가 있다.

• 한국기후변화학회지
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• 제9권1호
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• pp.103-115
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• 2018

The uncertainty of climate scenarios, as initial information, is one of the significant factors among uncertainties of climate change impacts and vulnerability assessments. In this sense, the quantification of the uncertainty of climate scenarios is essential to understanding these assessments of impacts and vulnerability for adaptation to climate change. Here we quantified the precision of surface temperature of ensemble scenarios (high resolution (1km) RCP4.5 and 8.5) provided by Korea Meteorological Administration, with spatiotemporal variation of the standard deviation of them. From 2021 to 2050, the annual increase rate of RCP8.5 was higher than that of RCP4.5 while the annual variation of RCP8.5 was lower than that of RCP4.5. The standard deviations of ensemble scenarios are higher in summer and winter, particularly in July and January, when the extreme weather events could occur. In general, the uncertainty of ensemble scenarios in summer were lower than those in winter. In spatial distribution, the standard deviation of ensemble scenarios in Seoul Metropolitan Area is relatively higher than other provinces, while that of Yeongnam area is lower than other provinces. In winter, the standard deviations of ensemble scenarios of RCP4.5 and 8.5 in January are higher than those of December. Especially, the standard deviation of ensemble scenarios is higher in the central regions including Gyeonggi, and Gangwon, where the mean surface temperature is lower than southern regions along with Chungbuk. Such differences in precisions of climate ensemble scenarios imply that those uncertainty information should be taken into account for the implementation of national climate change policy.

• 대기
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• 제20권1호
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• pp.49-61
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• 2010

Atmospheric aerosols play a crucial role for changing climate, resulting in a wide range of uncertainty for future climate prediction. In this paper we review current international research status and trend of climate-related aerosol science. There have been carried out a number of campaigns (including ACE-Asia, TRACE-P, ABC, and so on) and special experiments with some modeling studies over Korea, East Asia, and the Northwestern Pacific to characterize the various properties (physical, chemical, optical, and radiative) of Asian aerosols and evaluate their climate forcing impacts. But some parts of the aerosol research may need to be improved, advanced, or newly launched. Especially, a chemical transport model (CTM) embedded by a general circulation model (GCM) should be developed by the national scientific community with a high research priority, actively collaborating with international community in order to estimate direct and indirect global radiative forcing due to anthropogenic and natural aerosols.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2020년도 학술발표회
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• pp.171-171
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• 2020

Decision making strategies should consider both adaptiveness and robustness in order to deal with two main characteristics of climate change: non-stationarity and deep uncertainty. Especially, robust strategies are different from traditional optimal strategies in the sense that they are satisfactory over a wider range of uncertainty and may act as a key when confronting climate change. In this study, a new framework named Robust Stochastic Dynamic Programming (R-SDP) is proposed, which couples previously developed robust optimization (RO) into the objective function and constraint of SDP. Two main approaches of RO, feasibility robustness and solution robustness, are considered in the optimization algorithm and consequently, three models to be tested are developed: conventional-SDP (CSDP), R-SDP-Feasibility (RSDP-F), and R-SDP-Solution (RSDP-S). The developed models were used to derive optimal monthly release rules in a single reservoir, and multiple simulations of the derived monthly policy under inflow scenarios with varying mean and standard deviations are undergone. Simulation results were then evaluated with a wide range of evaluation metrics from reliability, resiliency, vulnerability to additional robustness measures. Evaluation results were finally visualized with advanced visualization tools that are used in multi-objective robust decision making (MORDM) framework. As a result, RSDP-F and RSDP-S models yielded more risk averse, or conservative, results than the CSDP model, and a trade-off relationship between traditional and robustness metrics was discovered.

• 한국농공학회논문집
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• 제62권5호
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• pp.47-62
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• 2020

Rice paddy accounts for approximately 52.5% of all farmlands in South Korea, and it is closely related to the water environment. Climate change is expected to affect not only agricultural productivity also the water and the nutrient circulation. Therefore this study was aimed to evaluate changes of nitrogen load from rice paddy considering climate change scenario uncertainty. APEX-Paddy model which reflect rice paddy environment by modifying APEX (Agricultural Policy and Environmental eXtender) model was used. Using the AIMS (APCC Integrated Modeling Solution) offered by the APEC Climate Center, bias correction was conducted for 9 GCMs using non-parametric quantile mapping. Bias corrected climate change scenarios were applied to the APEX-Paddy model. The changes and uncertainty in runoff and nitrogen load were evaluated using multi-model ensemble. Paddy runoff showed a change of 23.1% for RCP4.5 scenario and 45.5% for RCP8.5 scenario compared the 2085s (2071 to 2100) against the base period (1976 to 2005). The nitrogen load was found to be increased as 43.9% for RCP4.5 scenario and 76.0% for RCP8.5 scenario. The uncertainty analysis showed that the annual standard deviation of nitrogen loads increased in the future, and the maximum entropy indicated an increasing tendency. And Duncan's analysis showed significant differences among GCMs as the future progressed. The result of this study seems to be used as a basis for mid- and long-term policies for water resources and water system environment considering climate change.

• 환경정책연구
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• 제9권1호
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• pp.31-55
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• 2010

기후변화 정책 분석 모델 (PAGE, Policy Analysis of Greenhouse Effect)을 이용해 여러 온실가스 배출 시나리오에 따른 기후변화의 피해 비용을 분석했다. 국내외 기후변화 영향에 관한 선행 연구 결과에 따르면 한국의 기후변화의 민감도는 경제 협력개발기구(OECD) 회원국들과 유사한 수준이 될 것으로 전망되었으나 구체적인 한국의 분야별 영향평가가 이루어져야 보다 정량적인 기후변화의 피해함수 추정이 가능할 것이다. 온실가스 배출량, 이산화황 배출량, 적응정책의 정도, 경제 성장, 인구 성장 등 많은 인자들이 기후변화로 인한 피해 정도에 영향을 미친다. 본 연구에서는 PAGE 모델을 이용해 미래의 여러 상황에 따른 기후변화의 피해 정도를 알아보기 위하여 A2, B1, Kyoto, 3가지 시나리오에 대한 분석을 하였다. 만일 전 세계가 온실가스 감축을 위한 아무 대책도 실행하지 않는다면 2100년 한국은 약 3도 정도의 온도상승이 예측되고 이로 인해 12조에서 58조정도의 피해가 일어날 것으로 분석되었다. 1990년에서 2100년까지 기후변화로 인한 누적 피해비용은 약 143조에서 921조에 이를 것으로 분석되었다.그러나 이는 소수의 피해함수에 대한 연구결과만을 반영해 산정한 결과며 분야별로 더 많은 연구가 수행되어야 보다 신뢰도 높은 피해비용을 산정할 수 있다.

• 한국환경복원기술학회지
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• 제18권2호
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• pp.79-88
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• 2015

Preparations need to be made for Korean pine(Pinus koraiensis) in anticipation of climate change because Korean pine is an endemic species of South Korea and the source of timber and pine nut. Therefore, climate change adaptation policy has been established to conduct an impact assessment on the distribution of Korean pine. Our objective was to predict the distribution of Korean pine while taking into account uncertainty and afforestation conditions. We used the 5th forest types map, a forest site map and BIOCLIM variables. The climate scenarios are RCP 4.5 and RCP 8.5 for uncertainty and the climate models are 5 regional climate models (HadGEM3RA, RegCM4, SNURCM, GRIMs, WRF). The base period for this study is 1971 to 2000. The target periods are the mid-21st century (2021-2050) and the end of the 21st century (2071-2100). This study used the MaxEnt model, and 50% of the presences were randomly set as training data. The remaining 50% were used as test data, and 10 cross-validated replicates were run. The selected variables were the annual mean temperature (Bio1), the precipitation of the wettest month (Bio13) and the precipitation of the driest month (Bio14). The test data's ROC curve of Korean pine was 0.689. The distribution of Korean pine in the mid-21st century decreased from 11.9% to 37.8% on RCP 4.5 and RCP 8.5. The area of Korean pine at an artificial plantation occupied from 32.1% to 45.4% on both RCPs. The areas at the end of the 21st century declined by 53.9% on RCP 4.5 and by 86.0% on RCP 8.5. The area of Korean pine at an artificial plantation occupied 23.8% on RCP 4.5 and 7.2% on RCP 8.5. Private forests showed more of a decrease than national forests for all subsequent periods. Our results may contribute to the establishment of climate change adaptation policies for considering various adaptation options.

• 한국물환경학회지
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• 제25권5호
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• pp.641-650
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• 2009

The IPCC's standing on the anthropogenic warming is discussed in this article. The differences between the climate alarmist and skeptics have been addressed in terms of scientific and policy stand point of view. The political and economical significances of climate change have been discussed, too. Although atmospheric temperature and rainfall precipitation are two most important factors in the climate change, most of the recent attentions have drawn on mainly temperature and $CO_2$ issue. In spite of argues on the uncertainty in anthropogenic warming related to $CO_2$, the inevitable climate change should correspondingly change the humanity in near feature.

• 한국인공지능학회지
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• 제11권3호
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• pp.7-15
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• 2023

Purpose: The purpose of this study is to investigate how consumers perceive electric vehicles and factors that affect attitude, satisfaction, and intention to use electric vehicles and to explore policy issues regarding climate change and global environment. By classifying actual and potential users, this study developed the following research questions: i) factors including economic feasibility, sociality, environmental sustainability, inefficiency, inconvenience, convenience, and uncertainty affect attitude to electric vehicles; ii) attitude to electric vehicles affects actual consumers' satisfaction; and iii) attitude to electric vehicles affects potential users' intention to use. Research design, data and methodology: This study conducted an online survey and applied factor and regression analyses and ANOVA to test hypotheses. Results: The results of this study found that economic feasibility and convenience factors significantly affect attitude in both cases of actual and potential users. How actual users perceive efficiency of electric vehicles negatively and uncertain issues such as battery technology affect attitude to electric vehicles. Conclusions: This study provides policy implications that foster promotional policies for the adoption of electric vehicles for environment and regulate negative aspects. This study also provides managerial implications for manufacturers to develop better technology competences to enhance reliability on electric vehicles.