• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2012년도 학술발표회
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• pp.458-458
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• 2012

Climate extreme variability is a major cause of disaster such as flood and drought types occurred in Korea and its effects is also more severe damage in last decades which can be danger mature events in the future. The main aim of this study was to assess the effectives of climate change on drought for an agriculture as Nakdong basin in Korea using climate change data in the future from data of General Circulation Models (GCM) of ECHO-G, with the developing countries like Korea, the developed climate scenario of medium-high greenhouse gas emission was proposed of the SRES A2. The Standardized Precipitation Index (SPI) was applied for drought evaluation. The drought index (SPI) applied for sites in catchment and it is evaluated accordingly by current and future precipitation data, specific as determined for data from nine precipitation stations with data covering the period 1980-2009 for current and three periods 2010-2039, 2040-2069 and 2070-2099 for future; time scales of 3month were used for evaluating. The results determined drought duration, magnitude and spatial extent. The drought in catchment act intensively occurred in March, April, May and November and months of drought extreme often appeared annual in May and November; drought frequent is a non-uniform cyclic pattern in an irregular repetitive manner, but results showed drought intensity increasing in future periods. The results indicated also spatial point of view, the SPI analysis showed two of drought extents; local drought acting on one or more one of sites and entire drought as cover all of site in catchment. In addition, the meteorology drought simulation maps of spatial drought representation were carried out with GIS software to generate for some drought extreme years in study area. The method applied in this study are expected to be appropriately applicable to the evaluation of the effects of extreme hydrologic events, the results also provide useful for the drought warning and sustainable water resources management strategies and policy in agriculture basins.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2015년도 학술발표회
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• pp.229-229
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• 2015

Downscaling is a fundamental procedure in the assessment of the future climate change impact at regional and watershed scales. Hence, it is important to investigate the spatial variability of the climate conditions that are constructed by various downscaling methods in order to assess whether each method can model the climate conditions at various spatial scales properly. This study introduces a fundamental research from Jang and Kavvas(2015) that precipitation variability from a popular statistical downscaling method (BCSD) and a dynamical downscaling method (MM5) that is based on the NCAR/NCEP reanalysis data for a historical period and on the CCSM3 GCM A1B emission scenario simulations for a projection period, is investigated by means of some spatial characteristics: a) the normalized standard deviation (NSD), and b) the precipitation change over Northern California region. From the results of this study it is found that the BCSD method has limitations in projecting future precipitation values since the BCSD-projected precipitation, being based on the interpolated change factors from GCM projected precipitation, does not consider the interactions between GCM outputs and local geomorphological characteristics such as orographic effects and land use/cover patterns. As such, it is not clear whether the popular BCSD method is suitable for the assessment of the impact of future climate change at regional, watershed and local scales as the future climate will evolve in time and space as a nonlinear system with land-atmosphere feedbacks. However, it is noted that in this study only the BCSD procedure for the statistical downscaling method has been investigated, and the results by other statistical downscaling methods might be different.

• 한국물환경학회지
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• 제27권3호
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• pp.273-285
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• 2011

This study describes the modeling of climate change impact on runoff across southeast Korea using a conceptual rainfall-runoff model TANK and assesses the results using the concept of environmental flows developed by International Water Management Institute. The future climate time series is obtained by scaling the historical series, informed by 4 global climate models and 3 greenhouse gas emission scenarios, to reflect a $4.0^{\circ}C$ increase at most in average surface air temperature and 31.7% increase at most in annual precipitation, using the spatio-temporal changing factor method that considers changes in the future mean seasonal rainfall and potential evapotranspiration as well as in the daily rainfall distribution. Although the simulation results from different global circulation models and greenhouse emission scenarios indicate different responses in flows to the climate change, the majority of the modeling results show that there will be more runoff in southeast Korea in the future. However, there is substantial uncertainty, with the results ranging from a 5.82% decrease to a 48.15% increase in the mean annual runoff averaged across the study area according to the corresponding climate change scenarios. We then assess the hydrologic perturbations based on the comparison between present and future flow duration curves suggested by IMWI. As a result, the effect of hydrologic perturbation on aquatic ecosystems may be significant at several locations of the Nakdong river main stream in dry season.

• 한국농공학회논문집
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• 제53권6호
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• pp.31-41
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• 2011

This study was conducted to predict future land-cover changes under climate change scenarios and to cluster analysis of regional land-cover characteristics. To simulate the future land-cover according to climate change scenarios - A1B, A2, and B1 of the Special Report on Emissions Scenarios (SRES), Dyna-CLUE (Conversion of Land Use Change and its Effects) was applied for modeling of competition among land-use types in relation with socioeconomic and biophysical driving factors. Gyeonggi-do were selected as study areas. The simulation results from 2010 to 2040 suggested future land-cover changes under the scenario conditions. All scenarios resulted in a gradual decrease in paddy area, while upland area continuously increased. A1B scenario showed the highest increase in built-up area, but all scenarios showed only slight changes in forest area. As a result of cluster analysis with the land-cover component scores, 31 si/gun in Gyeonggi-do were classified into three clusters. This approach is expected to be useful for evaluating and simulating land-use changes in relation to development constraints and scenarios. The results could be used as fundamental basis for providing policy direction by considering regional land-cover characteristics.

• 환경생물
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• 제40권4호
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• pp.567-578
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• 2022

본 연구는 국내 주요 용재수종인 잣나무와 삼나무, 편백에 대한 종 분포 예측 모델의 결과를 앙상블하여 기후 시나리오에 따라 현재, 근미래, 먼미래의 서식 적합지를 예측하였고 잣나무와 삼나무, 편백의 기후변화 시나리오별 분포 적합지를 분석하였다. 특히, 잣나무를 삼나무와 편백이 대체할 수 있는지 평가하였다. 기준연도(현재) 잣나무의 매우 적합한 서식지는 전국의 약 13.87%를 차지하지만 SSP5-8.5 하의 먼미래에서는 약 0.11%까지 낮아진다. 삼나무의 경우 기준연도의 서식 적합지는 약 7.08%이며 SSP5-8.5하의 먼미래에서는 약 18.21%까지 증가한다. 편백의 경우 기준연도의 서식 적합지는 약 19.32%이며 SSP5-8.5 하의 먼미래에서는 약 90.93%까지 차지하는 것으로 예측되었다. 전국적으로 조림하던 잣나무는 기후변화의 영향으로 서식처가 점차 북상하여 우리나라에서 적합한 서식처가 크게 감소하였으므로 21세기 중반 이후에는 국내에서 용재수종으로 조림하기에는 부적합하며 높은 수준의 서식 적합도를 갖는 편백이나 삼나무로 대체될 필요가 있다고 전망된다. 특히, 편백은 대부분의 영역에서 잣나무를 대체 가능하며, 삼나무의 경우 남해안과 중부지방 일부분을 대체할 수 있다고 평가되었다. 결론적으로 미래에는 조림하는 용재수종의 변화가 생길 것이며 다양한 수종을 대상으로 한 연구를 통해 기후변화에 대응하는 방안이 마련되기를 기대한다.

• 한국수자원학회논문집
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• 제51권4호
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• pp.371-381
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• 2018

국내 농업용 저수지 댐 시설물은 노후화 및 기후변화로 인한 여름철 강우량 증가로 인해 수자원관리에 대한 어려움뿐만 아니라 댐 월류에 따른 피해위험이 높을 것으로 전망된다. 따라서 본 연구에서는 기후변화를 고려한 농업용 저수지 수문학적 안전성을 평가하기 위해 농업용 저수지 1종 댐 시설물을 대상유역으로 선정하였으며, 유역별 확률강우량, 기존에 제시된 Present PMP, 기상청 기후변화시나리오에 따른 Future PMP를 산정하였다. 또한, 기후변화에 따라 증가하는 강우량을 정량적으로 분석하고, 홍수량산정 및 저수지홍수추적을 실시하여 강우시나리오에 따른 농업용 저수지의 여유고를 분석하였다. 기후변화를 고려한 Future PMP를 이용하여 농업용 저수지 댐 시설물의 수문학적 안전성을 평가한 결과, 고삼, 금광, 미호, 청천저수지는 설계홍수위 이상의 최고수위가 발생함에 따라 월류위험에 취약할 것으로 분석되었다.

• 한국농공학회논문집
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• 제62권4호
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• pp.99-110
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• 2020

The objective of this study is to analyze the trend of changes in the water circulation rates under climate change by adopting the concept of WCR defined by the Ministry of Environment. With the need for sound water circulation recovery, the MOE proposed the idea of WCR as (1-direct flow/precipitation). The guideline for calculating WCR suggests the SCS method, which is only suitable for short term rainfall events. However, climate change, which affects WCR significantly, is a global phenomenon and happens gradually over a long period. Therefore, long-term trends in WCRs should also be considered when analyzing changes in WCR due to climate change. RCP (Representative Concentration Pathway) 4.5 and 8.5 scenarios were used to simulate future runoff. SWAT (Soil and Water Assessment Tool) was run under the future daily data from GCMs (General Circulation Models) after the calibration. In 2085s, monthly WCR decreased by 4.2-9.9% and 3.3-8.7% in April and October. However, the WCR in the winter increased as the precipitation during the winter decreased compared to the baseline. In the aspect of yearly WCR, the value showed a decrease in most GCMs in the mid-long future. In particular, in the case of the RCP 8.5 scenario, the WCR reduced 2-3 times rapidly than the RCP 4.5 scenario. The WCR of 2055s did not significantly differ from the 2025s, but the value declined by 0.6-2.8% at 2085s.

• Advances in Energy Research
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• 제8권1호
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• pp.73-93
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• 2022

Focus on climate change and extreme weather conditions has received considerable attention in recent years. Civil engineers are now focusing on designing buildings that are more eco-friendly in the face of climate change. This paper describes the research conducted to assess the impact of future climate change on energy usage and carbon emissions in a typical supermarket at multiple locations across the UK. Locations that were included in the study were London, Manchester, and Southampton. These three cities were compared against their building performance based on their respective climatic conditions. Based on the UK Climatic Projections (UKCP09), a series of energy modelling simulations which were provided by the Chartered Institute of Building Service Engineers (CIBSE) were conducted on future weather years for this investigation. This investigation ascertains and quantifies the annual energy consumption, carbon emissions, cooling, and heating demand of the selected supermarkets at the three locations under various climatic projections and emission scenarios, which further validates annual temperature rise as a result of climatic variation. The data showed a trend of increasing variations across the UK as one moves southwards, with London and Southampton at the higher side of the spectrum followed by Manchester which has the least variability amongst these three cities. This is the first study which investigates impact of the climate change on the UK supermarkets across different regions by using the real case scenarios.

• 한국기후변화학회지
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• 제9권3호
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• pp.235-243
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• 2018

Loss of favorable habitats for species due to temperature increase is one of the main concerns of climate change on the ecosystem, and endangered species might be much more sensitive to such unfavorable changes. This study aimed to analyze the impact of future climate change on endangered wild animals in South Korea by investigating thermal sensitivity and vulnerability to temperature increase. We determined thermal sensitivity by testing normality in species distribution according to temperature. Then, we defined the vulnerability when the future temperature range of South Korea completely deviate from the current temperature range of species distribution. We identified 13 species with higher thermal sensitivity. Based on IPCC future scenarios RCP 4.5 and RCP 8.5, the number of species vulnerable to future warming doubled from 3 under RCP4.5 to 7 under the RCP8.5 scenario. The species anticipated to be at risk under RCP 8.5 are flying squirrel (Pteromys volans aluco), ural owl (Pteromys volans aluco), black woodpecker (Dryocopus martius), tawny owl (Strix aluco), watercock (Gallicrex cinerea), schrenck?s bittern (Ixobrychus eurhythmus), and fairy pitta (Pitta nympha). The other 10 species showing very narrow temperature ranges even without normal distributions and out of the future temperature range may also need to be treated as vulnerable species, considering the inevitable observation scarcity of such endangered species.

• 한국제4기학회지
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• 제23권1호
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• pp.42-53
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• 2009

최근 급격한 온실가스 증가에 기인하여 대기와 해양 그리고 빙권의 변화가 나타나고 또한 기온과 수분의 함량 변화에 따라서 지표 환경도 서서히 변하기 시작하는 것으로 보고되고 있다. 지표환경의 반응은 생지화학적 반응과 생물리학적 반응으로 구분 할 수 있는데, 생지화학적 반응은 기후변화에 따른 광합성이나 이와 유사한 지표환경의 변화 그리고 이에 따른 화학적인 피드백을 지칭하며 이는 대기의 온실가스 농도를 변화 시키는 역할을 한다. 생물리학적 반응은 기후변화에 따라 식생의 분포가 변하게 되고 이에 따른 태양에너지의 입사율 변화 등과 같은 물리적 반응을 나타낸다. 과거 기후변화역사에도 식생의 변화가 기후변화에 미치는 영향이 매우 컸던 경우가 있었고, 앞으로의 기후변화는 거대하고 급격하게 일어날 것으로 예측되기 때문에, 미래 기후변화의 정확한 예측을 위해서는 지표환경변화의 물리 화학적 변화를 이해하고 예측 모형에 정확히 포함시킬 필요가 있다.