• Proceedings of KOSOMES biannual meeting
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• 2017.04a
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• pp.211-211
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• 2017

• Proceedings of the KGS Conference
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• 2005.05a
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• pp.85-86
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• 2005

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.410-410
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• 2019

기후변화는 전 지구적인 환경문제 중 하나이며 IPCC (Intergovernmental Panel on Climate Change) 4차 평가보고서에서는 인류가 직면한 최대 위협이라고 하였다. 또한, IPCC는 현재 기후변화에 의한 영향은 명백히 나타나고 있으며 향후 기후변화에 의한 기상이변 예측과 적응 정책 및 조치가 중요하다고 권고하였다. 적응 정책 및 조치를 위한 기후변화의 영향분석은 우리나라에서도 많이 진행하고 있으나 개별 및 분류의 선형의 순차적 관계에 따라 개발 및 적용되고 있다. 기후변화는 자연생태계와 인간 활동의 복잡한 상호작용에 의해 발생하기에 개별적 연구 보다는 타 부문의 영향 및 결과가 환류되고 반영되어야 한다. 따라서 기후변화 영향평가는 농업, 물, 산림, 생태, 건강 등 다양한 부문 내/간 상호작용을 고려할 수 있는 통합 평가 방법이 필요하다. 통합 평가를 위해 플랫폼 개발은 필수적이며, 신속한 분석을 위해서는 개별 부문의 상세모델을 모방한 메타모델이 필요하다. 본 연구에서는 미래 기후변화에 따른 영향을 통합적으로 평가하기 위한 메타모델을 개발하고, 상호 연결을 통해 다양한 연계양상을 평가하고자 한다.

• Journal of Environmental Policy
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• v.10 no.3
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• pp.73-91
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• 2011

The fisheries in East Asia are reviewed in conjunction with climate change and social-economic developments in the 20th century. About one third of the human population resides in this region, producing a large share of the world's fisheries products, consuming them, and contributing significantly to the international trade of the products. Ongoing local and global climate changes, as well as ocean warming and acidification, are anticipated to have significant impacts on fisheries. Frequent typhoons have brought untold calamities and miseries to coastal communities. The rate of environmental change is outpacing our ability to respond effectively. The science must now move beyond identifying issues and toward providing sound bases for the development of innovative solutions, including effective adaptation and mitigation strategies. Fisheries management plans must be made to consider both changes in climate and social systems. It seems logical that an international forum should be made available to coordinate scientific research, management, and conservation of the region's fishery resources.

• Journal of Science Education
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• v.35 no.2
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• pp.274-282
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• 2011

The purpose of this study was to investigate elementary and middle school (grade 5 and 7) students' perceptions of global warming and climate change. A total of 239 students completed opened-form questionnaire consisting of cartoons regarding global warming and climate change. The results showed that are as follows. Elementary and middle school students had low level of perception of global warming and climate change. A majority of students rightly believed that the global warming is related to greenhouse gases, glacier, environmental pollution, etc. Also, Many students had scientific concepts about the cause of global warming while some of the students had misconceptions that destruction of the ozone layer will cause an global warming. We have found that some of the students of elementary and middle school had confused between the cause of global warming and ozone depletions.

• Land and Housing Review
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• v.6 no.4
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• pp.153-164
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• 2015

This paper aimed at drawing out urban planning techniques and strategies for climate change adaptation. To achieve these goals, the following specific objectives were carried out: First, through a review of previous studies and related theories, thirty-three planning techniques were derived and categorized into five sectors and twelve planning goals. Second, current application level was analyzed and applicable planning techniques were derived from urban cases in US and Europe. Third, final planning techniques for climate change adaptation were derived through working group and experts' brainstorming. Lastly, strategies for climate change adaptation proposed. This paper would be the basic source and comprehensive information on establishment of urban planning for climate change adaptation.

• The Korean Journal of Quaternary Research
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• v.13 no.1
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• pp.53-65
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• 1999

It is only possible by Physical based Water Balance Models such as $BROOK_{TOP}$ developed by me to estimate regional water balances caused by changes of regional ecosystem, which result in climate change, change of vegetation due to climate change, artificial landuse change, etc. This study estimates regional water balances of mid-north agricultural and forest regions in Germany using $BROOK_{TOP}$-Water Balance Model with climate change scenarios developed by PIK in Germany and GCM Scenarios developed by Praha University in Czech. Developing Water Resource Change Estimation System such as this study for global warming with considering climate, surface and underground conditions provides the basis of system development for surface-, groundwater-, cultivation-, ecosystem-, natural emergency-management, landuse and regional planing.

• Journal of the Economic Geographical Society of Korea
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• v.15 no.4
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• pp.601-614
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• 2012

This paper is aimed to analyze the determinants and their relative importance that affect regional competitiveness in the era of globalization and climate change. The panel model was set by a balanced panel data for 7 metropolitan areas & 9 provinces and for the period of 2001~2010. Gross regional income per capita is used as the dependent variable and competitiveness-based factors, economic production factors, and climate change adaptation factors are selected as the explanatory variables. In this study, Model 1(typical regional competitiveness model) and Model 2 (added adaptation to climate change adaptation factors) were compared. The important findings can be summarized as follows. The most influential determinants on regional competitiveness are the ratio of knowledge-based industries and human capital and energy inefficiencies decrease the regional competitiveness. Compared to Model 1, Model 2 showed that the effects of the regional openness and the technology innovation capital are relatively more influential in Model 2. The results of this empirical study provide policy implications to strengthen the regional competitiveness in the future of the era of globalization and climate change.

• Journal of the Korean Data and Information Science Society
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• v.28 no.1
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• pp.67-74
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• 2017

This paper analyzes the causal relationship from climate to international grain prices. Although climate is an important factor affecting the grain markets, it has been restrictively considered in previous studies analyzing the causal relationship of international grain prices. In this paper, monthly data from May 1987 to 2013 is used for the causal analysis in which the sea surface temperature (SST), a representative global climate variable, and the international prices of wheat, corn, and soybean, the world's three major crops, are considered. The test method is the parametric version of the nonparametric test for causality in high-order moments suggested by Nishiyama et al. (2011). The results show that the climate causes in the first moment the prices of all the three grains and causes in the second moment the prices of corn and soybean, but does not cause in the third moment any of the three grain prices.

• Journal of Climate Change Research
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• v.6 no.1
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• pp.33-40
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• 2015

Forests are to be recognized as an important carbon sink under the UNFCCC that consist of above- and below-biomass, dead organic matter (DOM) such as dead wood and litter, and soil organic matter (SOM). In order to asses for DOM and SOM, however, it is relevant to land-use change matrices over last 20 years for each land-use category. In this study, a land-use change matrix was produced and its uncertainty was assessed using a point sampling technique with permanent sample plots in national forest inventory at Chungbuk province. With point sampling estimated areas at 2012 year for each land-use category were significantly similar to the true areas by given six land-use categories. Relative standard error in terms of uncertainty of land-use change among land-use categories ranged in 4.3~44.4%, excluding the other land. Forest and cropland covered relatively large areas showed lower uncertainty compared to the other land-use categories. This result showed that selected permanent samples in the NFI are able to support for producing land-use change matrix at a national or province level. If the $6^{th}$ NFI data are fully collected, the uncertainty of estimated area should be improved.