• 한국기후변화학회지
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• 제5권2호
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• pp.109-125
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• 2014

작물의 안정적 재배에 있어서 적합한 기후는 필수적 요소이며, 이는 곧바로 작물의 생산량 증가로 이어진다. 국내의 경우, 기후변화에 따른 곡물 및 작물의 수량 예측을 위하여 작물모델을 이용한 연구가 진행되었으나, 각기 다른 작물모델의 사용과 국외 실정에 맞춘 입력 자료의 사용으로 연구 결과의 신뢰성을 낮게 하는 경향이 있었다. 이에 본 연구에서는 국외에서 개발된 작물 모델을 비교 분석하여 국내에서의 적용 가능성을 검토하였다. 또한, 모델별 입력자료 확보 가능성을 기초로 구동 가능 모형을 선정하였으며, 이의 문제점을 파악한 후 국내 적용방안을 제시하였다.

• 한국물환경학회지
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• 제27권6호
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• pp.830-840
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• 2011

Climate change has been settled as pending issues to consider water resources and environment all over the world, however, scientific and quantitative assessment methods of climate change have never been standardized. When South Korea headed toward water deficiency nation, the study is not only required analysis of atmospheric or hydrologic factors, but also demanded analysis of correlation with water quality environment factors to gain management policies about climate change. Therefore, this study explored appropriate monthly rainfall elasticity in chosen 41 unit watersheds in Nak-dong river which is the biggest river in Korea and applied monitored discharge data in 2004 to 2009 with monthly rainfall using Thiessen method. Each unit watershed drew elasticity between water temperature and water quality factors such as BOD, COD, SS, T-N, and T-P. Moreover, this study performed non-linear correlation analysis with monitored discharge data. Based on results of analysis, this is first steps of climate change analysis using long-term monitoring to develop basic data by Nak-dong river Environmental Research Center (Ministry of Environment) and to draw quantitative results for reliable forecasting. Secondary, the results considered characteristic of air temperature and rainfall in each unit watershed so that the study has significance its various statistical applications. Finally, this study stands for developing comparable data through "The 4 major river restoration" project by Korea government before and after which cause water quality and water environment changes.

• 대한원격탐사학회지
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• 제33권5_3호
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• pp.773-786
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• 2017

본 연구는 텍스트마이닝 기법을 사용하여 사회기반시설에 대한 기후변화 영향 데이터들을 추출 및 분석하고, 이들을 행정구역 공간정보와 연계하여 분석 표출하고자 하였다. 우선 전력시설, 교통 도시기반시설, 유류 자원관리시설, 환경시설, 용수공급시설의 사회기반시설 중 다섯 가지(폭염, 한파, 호우, 대설, 강풍) 기후 요소로부터 영향을 많이 받은 시설을 파악하고, 각 시설별로 주요한 영향을 미치는 기후 요소를 분석하였다. 사회기반시설의 기후변화 영향은 시설의 위치에 영향을 받을 것으로 기대되어, 사회기반시설 기후변화 영향을 지역 중심으로 비교 분석 및 시각화 하였다. 연구 결과, 사회기반시설 중 교통 도시기반시설이 기후변화 영향을 가장 많이 받았으며, 사회기반시설에 대한 기후변화 영향은 주로 호우와 대설에 의해 발생하는 것으로 확인되었다. 사회기반시설 기후변화 영향의 공간정보를 분석 및 표출한 결과, 강원도와 서울 지역에 위치한 사회기반시설들이 기후변화 영향을 상대적으로 많이 받은 것으로 나타났다. 본 연구는 텍스트마이닝을 통해 사회기반시설 기후변화 영향에 대한 비정형화된 정보를 추출 및 처리하여 분석하고, 이를 공간정보로 표출 시도하였다는 점에서 의미가 있다.

• 산업융합연구
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• 제13권1호
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• pp.63-73
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• 2015

The significance of this study is to see the influence of experience environmental education program on youth's environmental consciousness due to climate change. An experience environmental education can provide an opportunity to make cooperative interaction with friends and can give interest in surrounding environment. Also in this study, it reveals that experience education played an important role in changing of attitude and awareness to environment and nature. As climate change is very important through all countries, these positive effects suggest that experienced environmental education lessons are important for the future generation's awareness on climate change and environmental consciousness.

• 한국기후변화학회지
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• 제7권4호
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• pp.451-463
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• 2016

We explore the impact of Chinese future air pollutant emissions on ozone air quality in Northeast Asia (NEA) and health in South-Korea using an assessment framework including ICAMS (The Integrated Climate and Air Quality Modeling System) and BenMAP (The Environmental Benefits Mapping and Analysis Program). The emissions data sets from the climate change scenarios, the Representative Concentration Pathways (RCPs) (emission scenarios, EMSO), are used to simulate ozone air quality in NEA in the current (1996~2005, 2000s), the near future (2016~2025, 2020s) and the distant future (2046~2055, 2050s). Furthermore, the simulated ozone changes in the 2050s are used to analyze ozone-related premature mortality and economic cost in South-Korea. While different EMSOs are applied to the China region, fixed EMSO are used for other country regions to isolate the impacts of the Chinese emissions. Predicted ozone changes in NEA are distinctively affected by large changes in NOx emission over most of China region. Comparing the 2020s with the 2000s situation, the largest increase in mean ozone concentrations in NEA is simulated under RCP 8.5 and similarly small increases are under other RCPs. In the 2050s in NEA, the largest increase in mean ozone concentrations is simulated under RCP 6.0 and leads to the occurrence of the highest premature mortalities and economic costs in South-Korea. Whereas, the largest decrease is simulated under RCP 4.5 leads to the highest avoided premature mortality numbers and economic costs. Our results suggest that continuous reduction of NOx emissions across the China region under an assertive climate change mitigation scenario like RCP 4.5 leads to improved future ozone air quality and health benefits in the NEA countries including South-Korea.

• 한국기후변화학회지
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• 제5권4호
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• pp.349-357
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• 2014

Greenhouse gases (GHGs) from agricultural sector were categorized in a guideline book from Intergovernmental Panel on Climate Change (IPCC) as methane from rice paddy fields and nitrous oxide from agricultural soils. In general, GHG emissions were calculated by multiplying the activity data by emission factor. Tier 1 methodology uses IPCC default factors and Tier 2 uses country specific emission factors (CS). The CS and Scaling factors (SF) had been developed by NAAS (National Academy of Agricultural Science) projects from 2009 to 2012 to estimate how the advanced emissions. The purpose of this study was to compare GHG emissions calculated from IPCC default factors and NAAS CS and SF of agricultural sector in Korea. Methane emissions using CS and SF in rice paddy field was about 79% higher than those using IPCC default factors. In the agricultural soils, nitrous oxide emissions using CS from the 5 crops were about 40% lower than those using IPCC default. Except those 5 crops, approximately up to 52% lower emissions were calculated using CS compared to those using IPCC default factors. The total GHG emissions using CS and SF were about 33% higher than those using Tier 1 method by IPCC default factors.

• 한국환경농학회지
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• 제39권4호
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• pp.312-318
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• 2020

BACKGROUND: Photoreversibility, a reversion of the inductive effect of a brief red light pulse by a subsequent far red light pulse, is a property of photo responses regulated by the plant photoreceptor phytochrome B. Plants use photoreceptors to sense photo signal and to adapt and modify their morphological and physiological properties. Phytochrome recognizes red light and far red light and plays an important role in regulating plant growth and development. METHODS AND RESULTS: The reversal responses of growth and fruiting characteristics were investigated to increase the yield of oriental melon (Cucumis Melo L. var. Kumsargakieuncheon) by means of controlling light quality in a plastic house. Red (R:660nm) and far red (FR:730nm) lights were subsequently irradiated on the whole stems and leaves of the oriental melon plant during growing periods, using red and far red LEDs as light sources, from 9:00 PM daily for 15 minutes. The intensities of R and FR light were 0.322-0.430 μmol m-2s-1 and 0.250-0.366 μmol m-2s-1, respectively. Compared to R light irradiation, combination of R and FR light irradiation increased the length of internode, number of axillary stems, number of female flowers, and fruit number of oriental melons. The results of treatment with R were similar to R-FR-R light irradiation in terms of length of internode, number of axillary stems, number of female flowers, and number of fruits. When FR treatment was considered, R-FR and R-FR-R-FR light irradiation had similarities in responses. These reversal responses revealed that oriental melon showed a photoreversibility of growth characteristics, flowering, and fruiting. CONCLUSION: These results suggested the possibility of phytochrome regulation of female flower formation and fruiting in oriental melon. The fruit weight of the oriental melon was the heaviest with the R light irradiation, while the number of fruits was the highest with the FR light. With the FR light irradiation, the fruit weight was not significantly higher compared to that of the control. Meanwhile, the yield of oriental melon fruits increased by 28-36% according to the intensities of the FR light due to the increases of the number of fruits.

• 환경정책연구
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• 제12권3호
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• pp.73-96
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• 2013

중앙아시아지역의 기후변화적응 이슈를 유목문화의 역동성 측면에서 접근하고 있으며 이를 통해 중앙아시아 지역의 기후변화특성에 적응하는 개도국 기후변화 정책수립 이슈를 다루고 있다. 건조하면서도 혹한과 혹서가 반복되는 중앙아시아 지역의 기후특성은 지구촌 어떤 곳보다 기후변화로 인해 심각한 영향을 받고 있다는 문제의식에서 출발하고 있다. 기후변화 영향에 적응하는 유목문화적 역동성(dynamics) 요소를 수자원(water resource), 가축(livestock), 초원(pastureland)을 중심으로 살펴보고 있으며 유목민의 문화적, 기후적 특성에 기초한 적응정책을 탐색하고 있다. 아울러 기후변화 영향 및 적응에 있어서 중앙아시아 지역의 유목문화적 특성이 갖는 이중적 의미로, 오랜 기간 잦은 이동과 새로운 환경에 적응해온 유목민들의 라이프 스타일이 기후변화에 있어서도 우수한 적응 잠재 능력을 발휘할 수 있음에도 주목하고 있다.

• 한국기후변화학회지
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• 제1권2호
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• pp.179-188
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• 2010

우리나라는 유엔 기후변화 협약 상 온실가스 저감과 함께 중요하게 다뤄지고 있는 기후변화적응 문제에 대응하기 위해, 2010년에는 국가기후변화적응대책(2011~2015)의 마련 추진 등 구체적인 기후변화적응체계를 갖추어 나가고 있다. 기후변화적응에 관한 우리의 역량을 선진 외국의 정책 및 관련 도구개발 기술 등과 비교할 때, 기후변화 관련 기반의 정보 부족, 전문 연구 인력의 부족, 기후변화 취약성 평가기술 부족 등 여러 부문에서 한계가 있다. 그러나 기후변화적응과 관련된 우수한 정보체계, 상대적으로 높은 기후변화적응기술을 보유하고 있는 강점이 있다. 2009년 7월에는 기후변화적응 전문연구조직인 한국환경정책?평가연구원/국가기후변화적응센터가 마련되었고, 국가의 기후변화적응능력과 동아시아 등 기후변화에 취약한 국가들을 지원하기 위한 우리나라의 능력을 높이고 있다. 기후변화적응정책 및 기술개발이 환경산업과 밀접하게 맞물려 있음을 볼 때, 이 부문에 대해 우리나라가 추진하는 아시아 지역 개도국들에 대한 협력 및 기술지원 등은 장기적인 투자의 밑거름이라 볼 수 있다. 아시아 지역 국가들과의 기후변화적응 국제협력은 사업-연구-교육-국제 동반자 체계를 묶는 상호보완적인 통합형의 국제협력을 고려할 수 있다. 또한, 개도국과 세계적 관심을 끌 수 있는 공동의 문제를 발굴하여 함께 해결하는 동반자 및 랜드 마크형의 상호 국제협력 등은 효과적이며 지속적으로 추진할 수 있는 사업이 될 것이다.

• 한국물환경학회지
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• 제25권6호
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• pp.863-871
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• 2009

For the assessment of climate change impacts on river flow condition, CGCM 3.1 T63 is selected as future climate information. The projections come from CGCM used to simulate the GHG emission scenario known as A2. Air temperature and precipitation information from the GCM simulations are converted to regional scale data using the statistical downscaling method known as MSPG. Downscaled climate data from GCM are then used as the input data for the modified TANK model to generate regional runoff estimates for 44 river locations in Nakdong river basin. Climate change is expected to reduce the reliability of water supplies in the period of 2021~2030. In the period of 2051~2060, stream flow is expected to be reduced in spring season and increased in summer season. However, it should be noted that there are a lot of uncertainties in such multiple-step analysis used to convert climate information from GCM-based future climate projections into hydrologic information.