• Title/Summary/Keyword: SSP 시나리오

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Changes in global climate zone based on SSP scenario (SSP 시나리오 기반 전 지구 규모의 기후대 변화)

  • Young Hoon Song;Jin Hyeok Kim;Sung Tack Chae;Eun Sung Chung
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.89-89
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    • 2023
  • 인간 활동에 의해 발생한 전 지구적 기후변화는 다양한 분야에 영향을 미치고 있다. 특히, 군락을 기반으로 서식하는 동식물은 기후변화에 가장 취약하며, 대부분의 군락 위치가 북상하거나 멸종 위기에 처해있다. 2022년에 발표된 IPCC(Intergovernmental Panel on Climate Change) 보고서는 섭씨 5도 이상 상승하면 생물군의 60%가 멸종될 것이라고 보고하였으며, 고위도와 고도로 이동하여 봄철 식물 성장이 과거보다 더욱 가속화 될 것으로 예측하였다. 따라서, 온실가스 농도에 따른 전 지구적 기후변화 분석은 다양한 분야에서 지속가능한 완화 및 적응 정책을 결정하는데 필요하다. 본 연구는 SSP2-4.5와 SSP5-8.5를 이용하여 Koppen-Geiger의 기후대 분류에 따른 전 지구 규모(아시아, 유럽, 남아메리카, 북아메리카, 오세아니아, 아프리카)의 과거 및 미래 기후대에 대한 변화를 분석하였다. 과거 기간의 기후대를 추정하기 위해 25개 CMIP6(Coupled Model Intercomparison Project 6) GCM(General circulation model)의 월 단위 강수량과 표면 온도를 사용하였으며 6개의 기간으로 구분하여 기후대 변화를 비교하였다. 더 나아가, 미래 기후대를 예측하기 위해 SSP(Shared Socioeconomic Pathways)2-4.5와 SSP5-8.5의 미래 기후변수를 사용하였으며, 전망 기간을 7개로 구분하여 전망 기간의 기후대를 변화를 비교하였다. 본 연구의 결과로는 온실가스 농도가 높은 시나리오에서는 북아메리카, 아시아, 유럽의 툰드라와 영구동토층이 가파르게 감소하였으며, 온대 기후 중 습한 아열대 기후대의 면적이 급속도로 증가하였다. 더 나아가, 남아메리카의 경우 대륙성 기후대가 지속적으로 감소하는 반면에 열대 우림 기후대는 증가한다. 오세아니아의 미래 기후대는 몬순의 영향을 받는 아열대 기후대가 증가하고 열대 우림은 증가할 것으로 예측하였다.

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Performance Analysis of a Hybrid Desiccant Cooling System for Residential Air Conditioning in the Seoul Region under the Climate Scenarios SSP5 and SSP1 (기후 시나리오 SSP5와 SSP1에서의 2100년 서울 지역에서의 여름철 주택 냉방을 위한 하이브리드 제습 냉방 시스템 성능 분석)

  • YULHO LEE;SUNGJIN PARK
    • Transactions of the Korean hydrogen and new energy society
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    • v.34 no.6
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    • pp.773-784
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    • 2023
  • In this study, a comparative analysis between an electric heat pump cooling system and a hybrid desiccant cooling system is conducted. Desiccant cooling is a thermal driven system with potentially lower electric power consumption than electric heat pump. Hybrid desiccant cooling system simulation includes components such as a desiccant rotor, direct and indirect evaporative coolers, heat exchangers, fans, and a heat pump system. Using dynamic simulations by climate conditions, house cooling temperatures and power consumption for both systems are analyzed for 16 days period in the summer season under climate scenarios for the year 2100 prediction. The results reveal that the hybrid desiccant cooling system exhibits a 5-18% reduction in electric consumption compared to the heat pump system.

Estimation of future climate change factor based on CMIP6 data (CMIP6 자료 기반 미래 기후변화 할증률 산정)

  • Beak, Dojin;Kim, Jongho
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.308-308
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    • 2023
  • 자연재해대책법 제 16조 6에 따라 기후변화로 인한 방재성능목표의 영향을 고려하기 위해 방재성능가이드라인을 설정하여 운영하고 있다. 2017년 공표된 기후변화를 고려한 방재성능목표 강우량의 단기 할증률은 CMIP5 자료를 기반으로 기본 5%, 관심 8%, 주의 10%의 할증률로 구분되어 적용되고 있다. 그러나, 미래 기후변화 시나리오에 따르면 확률강우량이 늘어나는 지역도 있지만, 감소될 것으로 예상되는 지역도 존재한다. 따라서, 모든 지역을 3개의 구간으로 나누어 증가 할증률을 적용하는 것에 대한 검토가 필요하다. 본 연구에서는 CMIP6 기후변화 자료를 시단위로 다운스케일링한 시계열을 이용하여 미래 기후변화로 인한 방재성능목표의 할증률을 산정하고, 각 할증률에 기반한 구간을 상세화하고자 한다. 구체적으로, 현재 기상청에서 제공하는 일단위 기후변화 데이터베이스와, CMIP6에서 제공하는 일단위 기후변화 자료를 구축하고, 분석하였다. 이후 구축된 일단위 자료를 시단위 자료로 Downscaling한 후, 각 이산화탄소 배출 시나리오인 SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5에 대해 앙상블 시계열을 생성하고, 다양한 기후변화의 불확실성을 적절하게 정량화 할 예정이다. 그중에서 방재성능목표와 가장 밀접하다고 생각되는 변수들(연강우량, 8월강우량, 연최대강우량, 30년빈도 확률강우량 등)을 CCF(Cross Correlation Function), ACC(Auto Correlation Function)방법 등을 통해 분석하여 최적의 변수들을 찾고, 그 값들의 앙상블 평균을 통해 안정된 방재성능목표 기후변화 할증률 값을 산정할 예정이다. 169개 지역의 시·군 단위의 티센망과, 238개 지역의 시·군·구 단위의 티센망을 구축하고, 기상청 ASOS(Automated Synoptic Observing System)의 69개 기상관측소 강우관측자료와 AWS(Automatic Weather System)의 419개 기상관측소를 활용하여 지역별 미래 기후변화를 고려한 비선형적 할증률를 제시할 것이다.

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Evaluation of hydrologic risk of drought in Boryeong according to climate change scenarios using scenario-neutral approach (시나리오 중립 접근법을 활용한 기후변화 시나리오에 따른 보령시 가뭄의 수문학적 위험도 평가)

  • Kim, Jiyoung;Han, Young Man;Seo, Seung Beom;Kim, Daeha;Kim, Tae-Woong
    • Journal of Korea Water Resources Association
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    • v.57 no.3
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    • pp.225-236
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    • 2024
  • To prepare for the impending climate crisis, it is necessary to establish policies and strategies based on scientific predictions and analyses of climate change impacts. For this, climate change should be considered, however, in conventional scenario-led approach, researchers select and utilize representative climate change scenarios. Using the representative climate change scenarios makes prediction results high uncertain and low reliable, which leads to have limitations in applying them to relevant policies and design standards. Therefore, it is necessary to utilize scenario-neutral approach considering possible change ranges due to climate change. In this study, hydrologic risk was estimated for Boryeong after generating 343 time series of climate stress and calculating drought return period from bivariate drought frequency analysis. Considering 18 scenarios of SSP1-2.6 and 18 scenarios of SSP5-8.5, the results indicated that the hydrologic risks of drought occurrence with maximum return period ranged 0.15±0.025 within 20 years and 0.3125±0.0625 within 50 years, respectively. Therefore, it is necessary to establish drought policies and countermeasures in consideration of the corresponding hydrologic risks in Boryeong.

A Comparison of Predictive Power among SSP Scenarios of Oyster Aquaculture Production (SSP 시나리오별 굴 양식 생산량 예측력 비교)

  • Min-Gyeong Jeong;Jong-Oh Nam
    • The Journal of Fisheries Business Administration
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    • v.54 no.1
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    • pp.37-49
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    • 2023
  • Climate change is a major global problem. Oysters, one of the most representative farmed fish in Korea, are attracting attention as candidates for blue carbon, an alternative to carbon neutrality. This study is analyzed by the SSP scenarios to determine the impact of oyster aquaculture production according to climate change. Based on the analysis, future productions of oysters are predicted by the SSP scenario. Significant differences by the SSP scenario are confirmed through predictive power tests among scenarios. Regression analysis was conducted from January 2001 to December 2014. As a result of the analysis, water temperature, water temperature quadratic term, salinity, salinity quadratic term, and month × water temperature cross term were estimated as significant variables. Oyster production which is predicted by the SSP scenario based on the significant variables from 2015 to 2022 was compared with actual production. The model with the highest predictive power was selected by RMSE and MAPE criteria. The predictive power was compared with the MDM test to determine which model was superior. As a result, based on RMSE and MAPE, the SSP1-2.6 scenario was selected as the best model and the SSP1-2.6, SSP2-4.5, and SSP3-7.0 scenarios all showed the same predictive power based on the MDM test. In conculusion, this study predicted oyster aquaculture production by 2030, not the distant future, due to the short duration of the analytical model. This study was found that oyster aquaculture production increased in all scenarios and there was no significant difference in predictive power by the SSP scenario.

Climate Change Impact Analysis on Water Supply Reliability and Flood Risk using Combined Rainfall-runoff and Reservoir Modeling (강우유출-저수지 연계 모의를 통한 기후변화의 이수안전도 및 홍수위험도 영향 분석: 합천 및 섬진강댐 유역 사례)

  • Seong Jin Noh;Dong Kook Woo;Jihyeon Jo;Garim Lee;Songhee Lee
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.361-361
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    • 2023
  • 본 연구에서는 기후변화가 다목적 댐의 수자원 관리에 미치는 영향을 분석하기 위해, 기후변화 시나리오를 기반으로 강우-유출과 저수지 운영 모형을 연계 모의하고, 갈수 시 물 공급과 홍수라는 두가지 상반된 위험 요소를 동시에 분석하는 방법론을 제안하고, 국내 댐 유역에 대해 적용성을 평가한다. 기후변화 시나리오로는 공통사회경제경로(Shared Socio-economic Pathway; SSP) 중 SSP2-4.5와 SSP5-8.5를 선택하고, 편이보정 후 2015-2100년의 미래 기후 자료를 구축한다. 수문과정의 불확실성을 고려하기 위해, GR4J, IHACRES, TAU 등 세가지 집중형 수문 모형으로 댐 유입량을 모의하고, 저수지의 물 공급 및 홍수 조절을 고려한 저수지 운영 모의를 수행하고, 기간별 이수안전도와 홍수위험도를 산정한다. 적용 유역으로는 다목적 댐인 합천댐과 섬진강댐의 상류유역을 선택하여, 제안된 방법론의 적정성을 평가한다. 초기 분석 결과, 먼 미래(2081-2100년) 기간에 대해 이수안전도 보다 홍수위험도의 변화가 컸으며, 근 미래의 변화는 먼 미래 보다 상대적으로 적고 뚜렷한 경향을 찾기 어려웠다. 본 연구에서는 다중 수문모형을 활용한 댐 유입량 모의불확실성 개선 방안과 미래 기후에 대한 이수안전도 및 홍수위험도 분석 결과의 함의에 대해 중점적으로 토의한다.

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Future Runoff Characteristics of Ganwol Estuary Reservoir Watershed Based on SSP Scenarios (SSP 기후변화 시나리오에 따른 간월호 유역의 미래 유출특성 변화)

  • Kim, Sinae;Kim, Donghee;Kim, Seokhyeon;Hwang, Soonho;Kang, Moon-Seong
    • Journal of The Korean Society of Agricultural Engineers
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    • v.65 no.5
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    • pp.25-35
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    • 2023
  • The estuary reservoir is a major source of agricultural water in Korea; for effective and sustainable water resource management of the estuary reservoir, it is crucial to comprehensively consider various water resource factors, including water supply, flood, and pollutant management, and analyze future runoff changes in consideration of environmental changes such as climate change. The objective of this study is to estimate the impact of future climate change on the runoff characteristics of an estuary reservoir watershed. Climate data on future Shared Socioeconomic Pathway (SSP) scenarios were derived from two Global Climate Models (GCMs) of the Coupled Model Intercomparison Project phase 6 (CMIP6). The Hydrological Simulation Program-Fortran (HSPF) was used to simulate past and future long-term runoff of the Ganwol estuary reservoir watershed. The findings showed that as the impact of climate change intensified, the average annual runoff in the future period was higher in the order of SSP5, SSP3, SSP1, and SSP2, and the ratio of runoff in July decreased while the ratio of runoff in October increased. Moreover, in terms of river flow regime, the SSP2 scenario was found to be the most advantageous and the SSP3 scenario was the most disadvantageous. The findings of this study can be used as basic data for developing sustainable water resource management plans and can be applied to estuary reservoir models to predict future environmental changes in estuary reservoirs.

Climate change impact analysis on water supply reliability and flood risk using combined rainfall-runoff and reservoir operation modeling: Hapcheon-Dam catchment case (강우-유출 및 저수지 운영 연계 모의를 통한 기후변화의 이수안전도 및 홍수위험도 영향 분석: 합천댐 유역 사례)

  • Noh, Seong Jin;Lee, Garim;Kim, Bomi;Jo, Jihyeon;Woo, Dong Kook
    • Journal of Korea Water Resources Association
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    • v.56 no.11
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    • pp.765-774
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    • 2023
  • Due to climatechange, precipitation variability has increased, leading to more frequentoccurrences of droughts and floods. To establish measures for managing waterresources in response to the increasing uncertainties of climate conditions, itis necessary to understand the variability of natural river discharge and theimpact of reservoir operation modeling considering dam inflow and artificialwater supply. In this study, an integrated rainfall-runoff and reservoiroperation modeling was applied to analyze the water supply reliability andflood risk for a multipurpose dam catchment under climate change conditions. Therainfall-runoff model employed was the modèle du Génie Rural à 4 paramètresJournalier (GR4J) model, and the reservoir operation model used was an R-basedmodel with the structure of HEC-Ressim. Applying the climate change scenariosuntil 2100 to the established integrated model, the changes in water supplyreliability and flood risk of the Happcheon Dam were quantitatively analyzed.The results of the water supply reliability analysis showed that under SSP2-4.5conditions, the water supply reliability was higher than that under SSP5-8.5conditions. Particularly, in the far-future period, the range of flood risk widened,and both SSP2-4.5 and SSP5-8.5 scenarios showed the highest median flood riskvalues. While precipitation and runoff were expected to increase by less than10%, dam-released flood discharge was projected to surge by over 120% comparedto the baseline

Predicting Landslide Damaged Area According to Climate Change Scenarios (기후변화 시나리오를 적용한 산사태 피해면적 변화 예측)

  • Song Eu
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.25 no.4
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    • pp.376-386
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    • 2023
  • Due to climate changes, landslide hazards in the Republic of Korea (hereafter South Korea) continuously increase. To establish the effective landslide mitigation strategies, such as erosion control works, landslide hazard estimation in the long-term perspective should be proceeded considering the influence of climate changes. In this study, we examined the change in landslide-damaged areas in South Korea responding to climate change scenarios using the multivariate regression method. Data on landslide-damaged areas and rainfall from 1981-2010 were used as a training dataset. Sev en indices were deriv ed from rainfall data as the model's input data, corresponding to rainfall indices provided from two SSP scenarios for South Korea: SSP1-2.6 and SSP5-8.5. Prior to the multivariate regression analysis, we conducted the VIF test and the dimension analysis of regression model using PCA. Based on the result of PCA, we developed a regression model for landslide damaged area estimation with two principal components, which cov ered about 93% of total v ariance. With climate change scenarios, we simulated landslide-damaged areas in 2030-2100 using the regression model. As a result, the landslide-damaged area will be enlarged more than the double of current annual mean landslide damaged area of 1981-2010; It infers that landslide mitigation strategies should be reinforced considering the future climate condition.

Prediction of the spatial distribution of suitable habitats for Geranium carolinianum under SSP scenarios (SSPs 시나리오에 따른 미국쥐손이 적합 서식지 분포 예측)

  • Oh, Young-Ju;Kim, Myung-Hyun;Choi, Soon-Kun;Kim, Min-Kyeong;Eo, Jinu;Yeob, So-Jin;Bang, Jeong Hwan;Lee, Yong Ho
    • Ecology and Resilient Infrastructure
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    • v.8 no.3
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    • pp.154-163
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    • 2021
  • This study was carried out to identify the factors affecting the distribution of suitable habitats for Geranium carolinianum, which was naturalized in South Korea, and to predict the changes of distribution in the future. We collected occurrence data of G. carolinianum at 68 sites in South Korea, and applied the MaxEnt model under climate change scenarios (SSP2-4.5, and SSP5-8.5). Precipitation seasonality (bio15), mean temperature of warmest quarter (bio10), and mean temperature of driest quarter (bio09) had high contribution for potential distribution of G. carolinianum. According to climate change scenarios, high suitable habitats of G. carolinianum occupied 6.43% of the land of South Korea in historical period (1981~2010), and 92.60% under SSP2-4.5, and 98.36% undr SSP5-8.5 in far future (2071~2100).