• Title/Summary/Keyword: RCP 8.5

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Prediction of present and future distribution of the Schlegel's Japanese gecko (Gekko japonicus) using MaxEnt modeling

  • Kim, Dae-In;Park, Il-Kook;Bae, So-Yeon;Fong, Jonathan J.;Zhang, Yong-Pu;Li, Shu-Ran;Ota, Hidetoshi;Kim, Jong-Sun;Park, Daesik
    • Journal of Ecology and Environment
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    • v.44 no.1
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    • pp.33-40
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    • 2020
  • Background: Understanding the geographical distribution of a species is a key component of studying its ecology, evolution, and conservation. Although Schlegel's Japanese gecko (Gekko japonicus) is widely distributed in Northeast Asia, its distribution has not been studied in detail. We predicted the present and future distribution of G. japonicus across China, Japan, and Korea based on 19 climatic and 5 environmental variables using the maximum entropy (MaxEnt) species distribution model. Results: Present time major suitable habitats for G. japonicus, having greater than 0.55 probability of presence (threshold based on the average predicted probability of the presence records), are located at coastal and inland cities of China; western, southern, and northern coasts of Kyushu and Honshu in Japan; and southern coastal cities of Korea. Japan contained 69.3% of the suitable habitats, followed by China (27.1%) and Korea (4.2%). Temperature seasonality (66.5% of permutation importance) was the most important predictor of the distribution. Future distributions according to two climate change scenarios predicted that by 2070, and overall suitable habitats would decrease compared to the present habitats by 18.4% (scenario RCP 4.5) and 10.4% (scenario RCP 8.5). In contrast to these overall trends, range expansions are expected in inland areas of China and southern parts of Korea. Conclusions: Suitable habitats predicted for G. japonicus are currently located in coastal cities of Japan, China, and Korea, as well as in isolated patches of inland China. Due to climate change, suitable habitats are expected to shrink along coastlines, particularly at the coastal-edge of climate change zones. Overall, our results provide essential distribution range information for future ecological studies of G. japonicus across its distribution range.

Analysis of extreme cases of climate change impact on watershed hydrology and flow duration in Geum river basin using SWAT and STARDEX (SWAT과 STARDEX를 이용한 극한 기후변화 사상에 따른 금강유역의 수문 및 유황분석)

  • Kim, Yong Won;Lee, Ji Wan;Kim, Seong Joon
    • Journal of Korea Water Resources Association
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    • v.51 no.10
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    • pp.905-916
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    • 2018
  • The purpose of this study is to evaluate the climate change impact on watershed hydrology and flow duration in Geum River basin ($9,645.5km^2$) especially by extreme scenarios. The rainfall related extreme index, STARDEX (STAtistical and Regional dynamical Downscaling of EXtremes) was adopted to select the future extreme scenario from the 10 GCMs with RCP 8.5 scenarios by four projection periods (Historical: 1975~2005, 2020s: 2011~2040, 2050s: 2041~2070, 2080s: 2071~2100). As a result, the 5 scenarios of wet (CESM1-BGC and HadGEM2-ES), normal (MPI-ESM-MR), and dry (INM-CM4 and FGOALS-s2) were selected and applied to SWAT (Soil and Water Assessment Tool) hydrological model. The wet scenarios showed big differences comparing with the normal scenario in 2080s period. The 2080s evapotranspiration (ET) of wet scenarios varied from -3.2 to +3.1 mm, the 2080s total runoff (TR) varied from +5.5 to +128.4 mm. The dry scenarios showed big differences comparing with the normal scenario in 2020s period. The 2020s ET for dry scenarios varied from -16.8 to -13.3 mm and the TR varied from -264.0 to -132.3 mm respectively. For the flow duration change, the CFR (coefficient of flow regime, Q10/Q355) was altered from +4.2 to +10.5 for 2080s wet scenarios and from +1.7 to +2.6 for 2020s dry scenarios. As a result of the flow duration analysis according to the change of the hydrological factors of the Geum River basin applying the extreme climate change scenario, INM-CM4 showed suitable scenario to show extreme dry condition and FGOALS-s2 showed suitable scenario for the analysis of the drought condition with large flow duration variability. HadGEM2-ES was evaluated as a scenario that can be used for maximum flow analysis because the flow duration variability was small and CESM1-BGC was evaluated as a scenario that can be applied to the case of extreme flood analysis with large flow duration variability.

Analysis of Neurological Complications on Antegrade Versus Retrograde Cerebral Perfusion in the Surgical Treatment of Aortic Dissection (대동맥 박리에서 전방성 뇌 관류와 역행성 뇌 관류의 신경학적 분석)

  • Park Il;Kim Kyu Tae;Lee Jong Tae;Chang Bong Hyun;Lee Eung Bae;Cho Joon Yong
    • Journal of Chest Surgery
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    • v.38 no.7 s.252
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    • pp.489-495
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    • 2005
  • In the surgical treatment of aortic dissection, aortic arch replacement under total circulatory arrest is often performed after careful inspection to determine the severity of disease progression. Under circulatory arrest, antegrade or retrograde cerebral perfusion is required for brain protection. Recently, antegrade cerebral perfusion has been used more, because of the limitation of retrograde cerebral perfusion. This study is to compare these two methods especially in the respect to neurological complications. Material and Method: Forty patients with aortic dissection involving aortic arch from May 2000 to May 2004 were enrolled in this study, and the methods of operation, clinical recovery, and neurological complications were retrospectively reviewed. Result: In the ACP (antegrade cerebral perfusion) group, axillary artery cannulation was performed in 10 out of 15 cases. In the RCP (retrograde cerebral perfusion) group, femoral artery Cannulation was performed in 24 out of 25 cases. The average esophageal and rectal temperature under total circulatory arrest was $17.2^{\circ}C\;and\;22.8^{\circ}C$ in the group A, and $16.0^{\circ}C\;and\;19.7^{\circ}C$ in the group B, respectively. Higher temperature in the ACP group may have brought the shorter operation and cardiopulmonary bypass time. However, the length of period for postoperative clinical recovery and admission duration did not show any statistically significant differences. Eleven out of the total 15 cases in the ACP group and thirteen out of the total 25 cases in the RCP group showed neurological complication but did not show statistically significant difference. In each group, there were 5 cases with permanent neurological complications. All 5 cases in the ACP group showed some improvements that enabled routine exercise. However all 5 cases in RCP group did not show significant improvements. Conclusion: The Antegrade, cerebral perfusion, which maintains orthordromic circulation, brings moderate degree of hypothermia and, therefore, shortens the operation time and cardiopulmonary bypass time. We concluded that Antegrade cerebral perfusion is safe and can be used widely under total circulatory arrest.

Analysis of Future Trends for Refractory Dissolved Organic Carbon in the Nakdong River Basin using Elasticity Theory (탄성도 이론을 이용한 낙동강유역 난분해성 용존 유기탄소 미래 추세 분석)

  • Park, Yoonkyung;Choi, Daegyu;Lee, Jae Woon;Kang, Limseok;Kim, Sangdan
    • Journal of Korean Society on Water Environment
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    • v.29 no.4
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    • pp.476-488
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    • 2013
  • Refractory Dissolved Organic Carbon (RDOC) is becoming more important index on management of water quality, water regulation as well as ecosystem management. We analyzed trends of RDOC using elasticity in the Nakdong river basin. If climate elasticity of streamflow is positive, change of streamflow can be defined by the proportional change in a climatic variable such as precipitation and temperature. Elasticity of streamflow to precipitation and elasticity of RDOC to precipitation were estimated in the present, and we also analyzed the variation of elasticity in the future using climate change scenarios, RCP 8.5/ 4.5. Mean streamflow elasticity is 1.655, and mean RDOC elasticity is 1.983. RDOC is more sensitive to precipitation change than streamflow. The variation of RDOC is directly proportion to precipitation in all scenarios, but the Load of RDOC is dependent on precipitation as well as others. There is a need for additional correlation analysis between RDOC and other factors for accurate prediction.

Estimation of Energy Use in Residential and Commercial Sectors Attributable to Future Climate Change (미래 기후변화에 따른 가정 및 상업 부문 에너지수요 변화 추정)

  • Jeong, Jee-Hoon;Kim, Joo-Hong;Kim, Baek-Min;Kim, Jae-Jin;Yoo, Jin-Ho;Oh, Jong-Ryul
    • Atmosphere
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    • v.24 no.4
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    • pp.515-522
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    • 2014
  • In this study it is attempted to estimate the possible change in energy use for residential and commercial sector in Korea under a future climate change senario. Based on the national energy use and observed temperature data during the period 1991~2010, the optimal base temperature for determining heating and cooling degree days (HDD and CDD) is calculated. Then, net changes in fossil fuel and electricity uses that are statistically linked with a temperature variation are quantified through regression analyses of HDD and CDD against the energy use. Finally, the future projection of energy use is estimated by applying the regression model and future temperature projections by the CMIP5 results under the RCP8.5 scenario. The results indicate that, overall, the net annual energy use will decrease mostly due to a large decrease in the fossil fuel use for heating. However, a clear seasonal contrast in energy use is anticipated in the electricity use; there will be an increase in a warm-season demand for cooling but a decrease in a cold-season demand for heating.

Changes projection in the Future Extreme Precipitation over South Korea using the HadGEM3-RA (HadGEM3-RA를 이용한 한반도 미래 극한강수 변화 전망)

  • Sung, Jang-Hyun;Kang, Hyun-Suk;Park, Su-Hee;Cho, Chun-Ho;Kim, Young-Oh
    • Proceedings of the Korea Water Resources Association Conference
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    • 2012.05a
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    • pp.343-343
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    • 2012
  • 미래 극한사상의 초과확률을 산정하기 위하여 저해상도의 전지구 기후변화 시나리오 자료를 그대로 사용하거나 이를 역학적 또는 통계적 방법으로 상세화한 고해상도 기후변화 시나리오 자료를 활용한다. 통계적 상세화는 전지구 또는 지역기후모델의 현재기후 모의 자료와 관측 자료와의 통계적 관계를 미래 예측자료에 적용하는 방법으로, 현재와 미래 기후의 시공간적 분포가 동일하다는 가정을 포함하고 있다. 반면 역학적 상세화 방법은 기후변화 강제력을 고려하는 지역기후모델을 이용하여 기후시스템의 역학 및 물리과정, 기후시스템간 의 상호작용, 기후변화의 비정상성 등을 고려할 수 있고, 변수간의 시공간적 상관성을 지구시스템의 물리 역학적 과정으로 해석할 수 있다는 장점이 있다. 이에 국립기상연구소에서는 영국 기상청의 통합모델(UM)기반의 지역기후모델(HadGEM3)을 사용하여 50 km 및 12.5 km 격자 단위로 역학적 상세화(dynamic downscaling)를 수행하였다. 본 연구에서는 역학적 상세화로 생산된 HadGEM3-RA 자료를 이용하여 현재기후(1980-2005), 가까운 미래(2020-2049)와 21세기말(2070-2099)의 20년 빈도 강수량을 비교하였다. 연구결과, 남한에 걸쳐 현재기후에 비하여 미래에는 극한강수의 크기와 빈도가 전반적으로 증가하는 경향을 확인할 수 있었다. 20년에 한번씩 발생하였던 일 극한강수는 RCP8.5를 고려한 21세기말에는 약 4년에 한번씩 발생하리라 전망되었다.

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Estimation of change in future potential evapotranspiration using multiple RCMs (다중 RCMs를 이용한 미래 잠재증발산량 변화 추정)

  • Kim, Sangdan;Won, Jeongeun;Choi, Jeonghyeon
    • Proceedings of the Korea Water Resources Association Conference
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    • 2018.05a
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    • pp.179-179
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    • 2018
  • 최근 기후변화에 대한 관심이 급증하면서 기후변화로 인한 여러 가지 문제점들이 드러나며 가뭄에 대한 관심도 증가하고 있다. 수자원 관리에 있어 가뭄 예측은 반드시 필요한 항목이다. 우리나라는 기후변화로 인해 강수량과 기온이 변화할 것으로 보이며, 이는 증발산량의 변화를 초래한다. 증발산량은 가뭄에 대한 중요한 인자 중 하나이며, 따라서 효율적인 수자원 관리를 위해 잠재증발산량(Potential Evapotranspiration, PET)의 변화를 예측하는 것은 반드시 필요하다고 할 수 있다. 미래의 잠재증발산량을 분석하고 예측하기 위해서는 주로 기후모델을 이용한 미래예측자료가 사용된다. 이에 본 연구에서는 다중 RCMs를 이용하여 미래 잠재증발산량의 변화를 추정하고자 하였다. 독일의 전지구기후모델(Global Climate Model)인 MPI-ESM-LR를 기반으로 다양한 지역기후모델(Regional Climate Model)로부터 생산된 미래 자료를 사용하였다. 사용된 RCM은 MM5, RSM, WRF이며, RCP 8.5 시나리오에 대하여 부산 지점에 해당하는 격자로부터 잠재증발산량 추정을 위한 기온, 풍속, 일사량, 상대습도를 추출하였다. 추출된 각 기상자료에 대해 Penman 방법을 적용하여 미래 잠재증발산량을 산정한 후 Quantile Mapping 기법을 이용하여 편의보정을 수행하였다. 산정된 미래 잠재증발산량을 분석한 결과, 부산지점의 경우 미래 잠재증발산량이 현재대비 다소 증가 할 것으로 나타났다. 따라서 이에 대한 대비가 필요할 것으로 판단된다.

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An Integrated Modeling Approach for Predicting Potential Epidemics of Bacterial Blossom Blight in Kiwifruit under Climate Change

  • Kim, Kwang-Hyung;Koh, Young Jin
    • The Plant Pathology Journal
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    • v.35 no.5
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    • pp.459-472
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    • 2019
  • The increasing variation in climatic conditions under climate change directly influences plant-microbe interactions. To account for as many variables as possible that may play critical roles in such interactions, the use of an integrated modeling approach is necessary. Here, we report for the first time a local impact assessment and adaptation study of future epidemics of kiwifruit bacterial blossom blight (KBB) in Jeonnam province, Korea, using an integrated modeling approach. This study included a series of models that integrated both the phenological responses of kiwifruit and the epidemiological responses of KBB to climatic factors with a 1 km resolution, under the RCP8.5 climate change scenario. Our results indicate that the area suitable for kiwifruit cultivation in Jeonnam province will increase and that the flowering date of kiwifruit will occur increasingly earlier, mainly due to the warming climate. Future epidemics of KBB during the predicted flowering periods were estimated using the Pss-KBB Risk Model over the predicted suitable cultivation regions, and we found location-specific, periodic outbreaks of KBB in the province through 2100. Here, we further suggest a potential, scientifically-informed, long-term adaptation strategy using a cultivar of kiwifruit with a different maturity period to relieve the pressures of future KBB risk. Our results clearly show one of the possible options for a local impact assessment and adaptation study using multiple models in an integrated way.

Application of SWAT model for simulating future runoff and water quaility under climate change in cheongmicheon watershed (청미천 유역의 미래 유출 및 수질모의를 위한 SWAT 모형의 적용)

  • Kim, Sang Ug;Bae, Hyeong;Bae, Hyeong;Bae, Hyeong
    • Proceedings of the Korea Water Resources Association Conference
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    • 2016.05a
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    • pp.547-547
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    • 2016
  • 최근 지구온난화로 인한 기후변화는 우리 삶에 다양하게 영향을 미치고 있다. 강수 또는 기온의 비정상성으로 대표되는 기후변화에 따라 수문순환의 변화 역시 자명하게 받아들여지고 있다. 기후변화에 따른 위험요소를 전망하기 위한 최우선 사항은 수문상황을 명확하게 진단하는 것이고 그 다음은 현재기후를 대비 미래의 변화를 전망하는 것이다. 그러나 우리나라는 수문관측의 역사가 짧고 관측 자료의 불확실성으로 인하여 수문상황의 진단을 위해 수문모형의 모의에 의존하는 경우가 많다. 일반적으로 수문모형은 입력 자료와 지형자료를 구축하고 주요 매개변수를 선택하여, 매개변수를 변화시켜가며 관측에 가장 가까운 결과를 가져오는 상태를 구성한다. 이와 같은 과정은 수문모형의 매개변수 보정이라 불리우며, 사용자의 직관에 따른 시행착오법에 따른 수동보정 방법이 사용될 수도 있고 특정 목적함수를 채택하여 수학적 알고리즘에 의해 매개변수를 보정하는 자동보정 방법이 사용될 수도 있다. 그러나 미래 수문변화 전망은 특정 유역을 대상으로 장기간의 수문자료를 모의하는 것이므로 수동보정보다는 자동보정이 보다 신뢰성 있는 결과를 도출하는 것으로 알려져 있다. 따라서 본 연구에서는 청미천 유역의 기후변화로 인한 미래 수문상황의 변화를 모의함에 있어 강우 유출모형 중 하나인 SWAT 모형을 이용하였으며, 신뢰도 있는 매개변수의 추정을 위하여 SWAT-CUP을 이용하여 매개변수를 객관적으로 최적화하였다.

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Prediction of sediment flow to Pleikrong reservoir due to the impact of climate change

  • Xuan Khanh Do;ThuNgaLe;ThuHienNguyen
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.38-38
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    • 2023
  • Pleikrong reservoir with a concrete gravity dam that impound more than 1 billion cubic meter storage volume is one of the largest reservoir in Central Highland of Vietnam. Sedimentation is a major problem in this area and it becomes more severe due to the effect of climate change. Over time, it gradually reduces the reservoir storage capacity affecting to the reliability of water and power supply. This study aims to integrate the soil and water assessment tool (SWAT) model with 14 bias-corrected GCM/RCM models under two emissions scenarios, representative concentration pathway (RCP) 4.5 and 8.5 to estimate sediment inflow to Pleikrong reservoir in the long term period. The result indicated that the simulated total amount of sediment deposited in the reservoir from 2010 to 2018 was approximately 39 mil m3 which is a 17% underestimate compared with the observed value of 47 mil m3. The results also show the reduction in reservoir storage capacity due to sedimentation ranges from 25% to 62% by 2050, depending on the different climate change models. The reservoir reduced storage volume's rate in considering the impact of climate change is much faster than in the case of no climate change. The outcomes of this study will be helpful for a sustainable and climate-resilient plan of sediment management for the Pleikrongreservoir.

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