• Journal of the Korean Geographical Society
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• v.35 no.2
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• pp.177-187
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• 2000

설악산의 교목한계선, 왜성변형수, 편형수, 포복형 나무 등 기형 수목 형태는 아고산대의 생태적 점이대에 나타나는 식생 경관으로 지생태학적으로 중요한 자연유산이다. 아고산대의 기형 수목 형태는 주로 저온, 강풍, 건조 그리고 적설 등 겨울 기후와 관련되지만 다른 계절과도 관계된다. 설악산의 눈잣나무는 세계적 분포 남한계선으로 생물지리적으로 가치가 높으며, 아고산 환경에 적응한 독특한 외관형을 나타낸다. 설악산 아고산대의 식생과 경관은 과거의 자연환경 변천사를 복원하고, 현재의 환경을 이해하고, 미래의 환경 변화의 영향을 파악하는 지표로서도 중요한 자원이다. 차후 환경 변화에 따른 설악산 아고산대의 식생과 경관의 변화에 대한 중장기적인 모니터링이 요구된다.

• Proceedings of the Korean Society for Bio-Environment Control Conference
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• 1994.11a
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• pp.70-73
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• 1994

우리나라의 시설원예 면적은 급속도로 증가하고 있으나, 시설의 현대화는 이에 따르지 못하고 있다. 농업의 국제경쟁력 제고를 위하여 농촌진흥청 등에서는 현대화된 농가보급형 표준하우스 모델을 개발하여 보급하고 있으나 농민들의 큰 호응을 얻지 못하고 있으며 지역별로 특성화된 온실 형태가 아직도 널리 분포하고 있는 실정이다. 이러한 이유에는 변화에 대한 적응 곤란, 기술 및 자금부족 등의 이유가 있겠으나, 그 외에도 지역적인 기후조건이나 자연환경특성에 있어서 장점이 있기 때문에 기존의 형태를 계속 유지하려는 경향이 지배하고있는 것으로 생각된다. (중략)

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.167-167
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• 2017

유역의 수문학적 변동 특성을 이해하는 것은 미리 자연 재해를 예상하고, 홍수를 통제하여 인간의 삶에 필요한 수자원을 안정적으로 공급할 수 있다. 이러한 특성에 대한 면밀한 조사는 하천 생태계의 구조와 기능을 조절할 수 있기 때문에 반드시 필요하다. 따라서 한반도의 대표적인 다목적 댐 유역에 초점을 맞추고, 일 유입량 자료와 한반도 태풍 영향 도메인을 적용하여 태풍의 영향을 고려하여 정량적인 수문학적 변화 특성을 분석하였다. 또한 남한 총 면적의 약 30%를 차지하고 있으며, 남한 총 수자원의 35%를 공급하고 있는 한강 유역의 대표적인 다목적 댐 유역인 소양강 댐을 대상으로 한반도에 영향을 미치는 태풍과 태풍의 발생에 따른 유출특성변화를 분석하였다. 태풍영향 도메인을 적용하여 태풍유량을 정량화하였으며, 태풍통계 자료와 지역 수문변화 지표의 변화와 상관분석을 통하여 기후변화의 적응과 대책수립에 기초자료를 제공하고자 한다.

• Proceedings of the Korean Society of Crop Science Conference
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• 2019.09a
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• pp.67-67
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• 2019

• Membrane Journal
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• v.34 no.3
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• pp.172-181
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• 2024

Many countries have passed laws to achieve Nationally Determined Contribution (NDC) which is a climate action plan to reduce greenhouse gas emissions and adapt to climate impacts. Although there are various technologies to achieve NDC targets, membrane technologies pose dramatical attractions for the purification of gaseous greenhouse gases or energy sources. Therefore, this review will provide the technological trends of polymeric membranes among various materials due to the advantages of the feasible fabrication process and easy scale-up.

• Korean Journal of Agricultural and Forest Meteorology
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• v.5 no.3
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• pp.185-190
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• 2003

This study was conducted to examine rice growth duration by analyzing agricultural climatic conditions at different latitudes in unified Korea. The climatic conditions of nine sites from Wunggi (latitude 42N) to Jeju (latitude 31N) were examined in this study. The rice growth duration of various cropping patterns was determined by analyzing consecutive days when effective daily mean air temperature was suitable for rice growth from the first seeding date to the last maturing date. The rice growth duration in Wunggi located in North Korea was available 138 days for machine transplanting, 115 days for direct seeding on dry paddy cultivation, and 97 days for direct seeding on a flooded surface with cultivation after seeding. On the other hand, the rice growth duration in Kwangju (latitude 35N) located in South Korea was 195 days for machine transplanting, 180 days for direct seeding on dry paddy cultivation, and 170 days for direct seeding on a flooded surface cultivation after seeding.

• Korean Journal of Agricultural and Forest Meteorology
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• v.14 no.1
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• pp.11-18
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• 2012

Daily temperature data produced by harmonic analysis of monthly climate summary have been used as an input to plant phenology model. This study was carried out to evaluate the performance of the harmonic based daily temperature data in prediction of major phenological developments and to apply the results in improving decision support for agricultural production in relation to the climate change scenarios. Daily maximum and minimum temperature data for a climatological normal year (Jan. 1 to Dec. 31, 1971-2000) were produced by harmonic analysis of the monthly climate means for Seoul weather station. The data were used as inputs to a thermal time - based phenology model to predict dormancy, budburst, and flowering of Japanese cherry in Seoul. Daily temperature measurements at Seoul station from 1971 to 2000 were used to run the same model and the results were compared with the harmonic data case. Leaving no information on annual variation aside, the harmonic based simulation showed 25 days earlier release from endodormancy, 57 days longer period for maximum cold tolerance, delayed budburst and flowering by 14 and 13 days, respectively, compared with the simulation based on the observed data. As an alternative to the harmonic data, 30 years daily temperature data were generated by a stochastic process (SIMMETEO + WGEN) using climatic summary of Seoul station for 1971-2000. When these data were used to simulate major phenology of Japanese cherry for 30 years, deviations from the results using observed data were much less than the harmonic data case: 6 days earlier dormancy release, 10 days reduction in maximum cold tolerance period, only 3 and 2 days delay in budburst and flowering, respectively. Inter-annual variation in phenological developments was also in accordance with the observed data. If stochastically generated temperature data could be used in agroclimatic mapping and zoning, more reliable and practical aids will be available to climate change adaptation policy or decision makers.

• Journal of Korea Water Resources Association
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• v.46 no.9
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• pp.897-907
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• 2013

Climate change is expected to worsen the depletion of streamflow in urban watershed. In this study, we therefore considered the treated wastewater (TWW) use as an adaptation strategy and devised a framework to identify prioritized areas for TWW use. An integrated framework that includes hydrological factors as well as social and environmental components were employed to determine the criteria for decision making. Fuzzy theory was employed to consider the uncertainties in the climate change scenarios and the weights of the performance value. All alternatives were evaluated using the fuzzy TOPSIS method. In addition, statistical method and decision making methods under complete uncertainty were used for robust decision making. As a result, ranking the alternatives using the fuzzy TOPSIS method and robust approach such as maximin, maximax, Hurwicz and equal likelihood criterion mitigated the level of uncertainty and ambiguity in each alternative. The finding of this study can be helpful in prioritizing water resource management projects considering various climate change scenarios.

• Korean Journal of Agricultural and Forest Meteorology
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• v.17 no.1
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• pp.1-14
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• 2015

Climate change caused by elevated greenhouse gases would affect crop production through different pathways in agricultural ecosystems. Because an agricultural ecosystem has complex interactions between societal and economical environment as well as organisms, climate, and soil, adaptation measures in response to climate change on a specific sector could cause undesirable impacts on other sectors inadvertently. An integrated system, which links individual models for components of agricultural ecosystems, would allow to take into account complex interactions existing in a given agricultural ecosystem under climate change and to derive proper adaptation measures in order to improve crop productivity. Most of models for agricultural ecosystems have been used in a separate sector, e.g., prediction of water resources or crop growth. Few of those models have been desiged to be connected to other models as a module of an integrated system. Threfore, it would be crucial to redesign and to refine individual models that have been used for simulation of individual sectors. To improve models for each sector in terms of accuracy and algorithm, it would also be needed to obtain crop growth data through construction of super-sites and satellite sites for long-term monitoring of agricultural ecosystems. It would be advantageous to design a model in a sector from abstraction and inheritance of a simple model, which would facilitate development of modules compatible to the integrated prediction system. Because agricultural production is influenced by social and economical sectors considerably, construction of an integreated system that simulates agricultural production as well as economical activities including trade and demand is merited for prediction of crop production under climate change.

• Spatial Information Research
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• v.20 no.3
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• pp.39-50
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• 2012

The objective of this study is the quantitative analysis of climate change effects by performing several statistical analyses with hydrometeorological data sets for past 30 years in Geum river watershed. Temperature, precipitation, relative humidity data sets were collected from eight observation stations for 37 years(1973~2009) in Geum river watershed. River level data was collected from Gongju and Gyuam gauge stations for 36 years(1973~2008) considering rating curve credibility problems and future long-term runoff modeling. Annual and seasonal year-to-year variation of hydrometeorological components were analyzed by calculating the average, standard deviation, skewness, and coefficient of variation. The results show precipitation has the strongest variability. Run test, Turning point test, and Anderson Exact test were performed to check if there is randomness in the data sets. Temperature and precipitation data have randomness and relative humidity and river level data have regularity. Groundwater level data has both aspects(randomness and regularity). Linear regression and Mann-Kendal test were performed for trend test. Temperature is increasing yearly and seasonally and precipitation is increasing in summer. Relative humidity is obviously decreasing. The results of this study can be used for the evaluation of the effects of climate change on water resources and the establishment of future water resources management technique development plan.