• Title/Summary/Keyword: Climate Change Scenarios (RCP 8.5)

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Studies on Changes and Future Projections of Subtropical Climate Zones and Extreme Temperature Events over South Korea Using High Resolution Climate Change Scenario Based on PRIDE Model (남한 상세 기후변화 시나리오를 이용한 아열대 기후대 및 극한기온사상의 변화에 대한 연구)

  • Park, Chang Yong;Choi, Young Eun;Kwon, Young A;Kwon, Jae Il;Lee, Han Su
    • Journal of the Korean association of regional geographers
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    • v.19 no.4
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    • pp.600-614
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    • 2013
  • This study aims to examine spatially-detailed changes and projection of subtropical climate zones based on the modified K$\ddot{o}$ppen-Trewartha's climate classification and extreme temperature indices using $1km{\times}1km$ high resolution RCP 4.5 and RCP 8.5 climate change scenarios based on PRIDE model over the Republic of Korea. Subtropical climate zones currently located along the southern coastal region. Future subtropical climate zones would be pushed northwards expanding to the western and the eastern coastal regions as well as some metropolitan areas. For both scenarios, the frequency of cold-related extreme temperatures projects to be reduced while the frequency of hot-related ones projects to be increased. Especially, hot days with $33^{\circ}C$ or higher temperature projects to occur more than 30 days over the most of regions except for some mountain areas with high altitudes during the period of 2070~2100. This study might provide essential information to make climate change adaptation processes be enhanced.

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Spatio-Temporal Projection of Invasion Using Machine Learning Algorithm-MaxEnt

  • Singye Lhamo;Ugyen Thinley;Ugyen Dorji
    • Journal of Forest and Environmental Science
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    • v.39 no.2
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    • pp.105-117
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    • 2023
  • Climate change and invasive alien plant species (IAPs) are having a significant impact on mountain ecosystems. The combination of climate change and socio-economic development is exacerbating the invasion of IAPs, which are a major threat to biodiversity loss and ecosystem functioning. Species distribution modelling has become an important tool in predicting the invasion or suitability probability under climate change based on occurrence data and environmental variables. MaxEnt modelling was applied to predict the current suitable distribution of most noxious weed A. adenophora (Spreng) R. King and H. Robinson and analysed the changes in distribution with the use of current (year 2000) environmental variables and future (year 2050) climatic scenarios consisting of 3 representative concentration pathways (RCP 2.6, RCP 4.5 and RCP 8.5) in Bhutan. Species occurrence data was collected from the region of interest along the road side using GPS handset. The model performance of both current and future climatic scenario was moderate in performance with mean temperature of wettest quarter being the most important variable that contributed in model fit. The study shows that current climatic condition favours the A. adenophora for its invasion and RCP 2.6 climatic scenario would promote aggression of invasion as compared to RCP 4.5 and RCP 8.5 climatic scenarios. This can lead to characterization of the species as preferring moderate change in climatic conditions to be invasive, while extreme conditions can inhibit its invasiveness. This study can serve as reference point for the conservation and management strategies in control of this species and further research.

Assessment of Climate Change Impacts on Hydrology and Snowmelt by Applying RCP Scenarios using SWAT Model for Hanriver Watersheds (SWAT 모델링을 이용한 한강유역의 RCP 시나리오에 따른 미래수문 및 융설 영향평가)

  • Jung, Chung Gil;Moon, Jang Won;Jang, Cheol Hee;Lee, Dong Ryul
    • Journal of The Korean Society of Agricultural Engineers
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    • v.55 no.5
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    • pp.37-48
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    • 2013
  • The objective of this study is to assess the impact of potential climate change on the hydrological components, especially on the streamflow, evapotranspiration and snowmelt, by using the Soil Water Assessment Tool (SWAT) for 17 Hanriver middle watersheds of South Korea. For future assessment, the SWAT model was calibrated in multiple sites using 4 years (2006-2009) and validated by using 2 years (2010-2011) daily observed data. For the model validation, the Nash-Sutcliffe model efficiency (NSE) for streamflow were 0.30-0.75. By applying the future scenarios predicted five future time periods Baseline (1992-2011), 2040s (2021-2040), 2060s (2041-2060), 2080s (2061-2080) and 2100s (2081-2100) to SWAT model, the 17 middle watersheds hydrological components of evapotranspiration, streamflow and snowmelt were evaluated. For the future precipitation and temperature of RCP 4.5 scenario increased 41.7 mm (2100s), $+3^{\circ}C$ conditions, the future streamflow showed +32.5 % (2040s), +24.8 % (2060s), +50.5 % (2080s) and +55.0 % (2100s). For the precipitation and temperature of RCP 8.5 scenario increased 63.9 mm (2100s), $+5.8^{\circ}C$ conditions, the future streamflow showed +35.5 % (2040s), +68.9 % (2060s), +58.0 % (2080s) and +63.6 % (2100s). To determine the impact on snowmelt for Hanriver middle watersheds, snowmelt parameters of SWAT model were determined through evaluating observed streamflow data during snowmelt periods (November-April). The results showed that average SMR (snowmelt / runoff) of 17 Hanriver middle watersheds was 62.0 % (Baseline). The annual average SMR were 42.0 % (2040s), 39.8 % (2060s), 29.4 % (2080s) and 27.9 % (2100s) by applying RCP 4.5 scenario. Also, the annual average SMR by applying RCP 8.5 scenario were 40.1 % (2040s), 29.4 % (2060s), 18.3 % (2080s) and 12.7 % (2100s).

Predicting the Potential Distribution of Korean Pine (Pinus koraiensis) Using an Ensemble of Climate Scenarios (앙상블 기후 시나리오 자료를 활용한 우리나라 잣나무림 분포 적지 전망)

  • Kim, Jaeuk;Jung, Huicheul;Jeon, Seong Woo;Lee, Dong-Kun
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.18 no.2
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    • pp.79-88
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    • 2015
  • Preparations need to be made for Korean pine(Pinus koraiensis) in anticipation of climate change because Korean pine is an endemic species of South Korea and the source of timber and pine nut. Therefore, climate change adaptation policy has been established to conduct an impact assessment on the distribution of Korean pine. Our objective was to predict the distribution of Korean pine while taking into account uncertainty and afforestation conditions. We used the 5th forest types map, a forest site map and BIOCLIM variables. The climate scenarios are RCP 4.5 and RCP 8.5 for uncertainty and the climate models are 5 regional climate models (HadGEM3RA, RegCM4, SNURCM, GRIMs, WRF). The base period for this study is 1971 to 2000. The target periods are the mid-21st century (2021-2050) and the end of the 21st century (2071-2100). This study used the MaxEnt model, and 50% of the presences were randomly set as training data. The remaining 50% were used as test data, and 10 cross-validated replicates were run. The selected variables were the annual mean temperature (Bio1), the precipitation of the wettest month (Bio13) and the precipitation of the driest month (Bio14). The test data's ROC curve of Korean pine was 0.689. The distribution of Korean pine in the mid-21st century decreased from 11.9% to 37.8% on RCP 4.5 and RCP 8.5. The area of Korean pine at an artificial plantation occupied from 32.1% to 45.4% on both RCPs. The areas at the end of the 21st century declined by 53.9% on RCP 4.5 and by 86.0% on RCP 8.5. The area of Korean pine at an artificial plantation occupied 23.8% on RCP 4.5 and 7.2% on RCP 8.5. Private forests showed more of a decrease than national forests for all subsequent periods. Our results may contribute to the establishment of climate change adaptation policies for considering various adaptation options.

Climate Aridity/humidity Characteristics in Seoul According to Changes in Temperature and Precipitation Based on RCP 4.5 and 8.5 (RCP 4.5와 8.5에 따른 기온 및 강수량변화를 반영한 서울 기후 건조/습윤특성)

  • Rim, Chang-Soo;Kim, Seong-Yeop
    • Journal of Korea Water Resources Association
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    • v.47 no.5
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    • pp.421-433
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    • 2014
  • In this study, monthly and annual aridity indices which are the ratios of precipitation to potential evapotranspiration in Seoul climate measurement station were analyzed for past 50 years (1961~2010), and the ratio of aridity index simulated by climate change scenarios (RCP 4.5 and 8.5) for each future period (2011~2040, 2041~2070, 2071~2100) to aridity index for the past period (1971~2000) was analyzed. Furthermore, 5 different potential evapotranspiration equations (FAO P-M, Penman, Makkink, Priestley-Taylor, Hargreaves) were applied to analyze the effect of potential evapotranspiration equation on estimating aridity index and aridity index variation ratio (%). The study results indicate that the monthly precipitation, average temperature and potential evapotranspiration were increased in each future period as compared to past period for both RCP 4.5 and RCP 8.5. Furthermore, winter period showed more significant increase of potential evapotranspiration than summer period, but aridity index showed different patterns as compared with potential evapotranspiration reflecting the influence of precipitation. Therefore, it is necessary to make preparation for the increment of winter evapotranspiration in terms of water resources management. The monthly and annual aridity indices based on future climate change scenarios were greatly different according to potential evapotranspiration equations; however, monthly and annual patterns of aridity index variation ratio (%) in the future period as compared to past period were very similar regardless of applied potential evapotranspiration equation.

Nn Evaluation of Climate Change Effects on Pollution Loads of the Hwangryong River Watershed in Korea (기후변화에 따른 황룡강 유역의 오염부하 유출량 변화 분석)

  • Park, Min Hye;Cho, Hong-Lae;Koo, Bhon Kyoung
    • Journal of Korea Water Resources Association
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    • v.48 no.3
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    • pp.185-196
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    • 2015
  • A conceptual watershed model HSPF (Hydrological Simulation Program-Fortran) was applied to the Hwangryong river watershed to evaluate climate change effects on pollution loads of the river. For modeling purposes, the Hwangryong river watershed was divided into 7 sub-watersheds. The model was calibrated and validated for the river discharges against the data observed in 2011 at several monitoring stations. The RCP scenarios were set up for the model simulations after being corrected by change factor method. The simulation results of the RCP 4.5 scenario indicate that the annual river discharge and concentrations of BOD, TN, TP of the Hwangryong river will continually increase during the second-half of the 21st century. As for the RCP 8.5 scenario, the simulations results imply that the pollution loads will increase during the middle of the 21st century reflecting the pattern of precipitation. Monthly distributions of the pollution loads for the RCP 4.5 and the RCP 8.5 scenarios show it will increase the most in September and February, respectively.

Application of SWAT Model for Simulating Runoff and Water Quality Considering Climate Change (기후변화에 따른 미래 유출 및 수질 모의를 위한 SWAT 모형의 적용)

  • Chung, Eun-Sung;Kim, Sang Ug;Kim, Hyeong Bae
    • Journal of Industrial Technology
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    • v.36
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    • pp.9-16
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    • 2016
  • In the face of increasing impact of climate change due to human activities, there has been an urgent need to resolve the problem in water resources planning management and environmental engineering. Therefore SWAT model was used to identify the impacts and change in hydrological cycle and environmental aspect. The most important step for the development of SWAT model is calibration procedure. Therefore, SWAT-CUP automatic calibration module was used to find some optimal parameters in SWAT model. After calibration in the cheongmicheon basin, SWAT model is used for the projected precipitation and temperature of RCP 4.5 and 8.5 climate change scenarios in AR5. The quantity and quality using SWAT model from 2014 to 2100 were identified. Finally, this study can provide the reasonable finding on impact by climate change.

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Study on the Change of Climate Zone in South Korea by the Climate Change Scenarios (기후변화시나리오를 이용한 우리나라의 기후지대 변화 연구)

  • Kim, Yongseok;Shim, Kyo-Moon;Jung, Myung-Pyo;Choi, In-Tae;Kang, Ki-Keong
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.19 no.2
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    • pp.37-42
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    • 2017
  • In this study, we were carried out the classification of Korea's climate zone. $K{\ddot{o}}ppen$ climate classification and Warmth Index were used for classification of climate zone and we have predicted how the climate zone will be changed during the 21st century. Especially, $K{\ddot{o}}ppen$ climate classification is one of the most widely used method in the world. The climate data used monthly climate normal data (1981-2010) and future climate data (2051-2060 and 2091-2100) by considering RCP 8.5 scenarios, which was made from geospatial climate models at 1km grid cell estimated. In conclusion, the temperature will rise steadily and the climate zone will be simplified in the future as a result.

Assessment of Climate Change Impact on Imha-Dam Watershed Hydrologic Cycle under RCP Scenarios (RCP 기후변화 시나리오에 따른 임하댐 유역의 미래 수문순환 전망)

  • Jang, Sun-Sook;Ahn, So-Ra;Joh, Hyung-Kyung;Kim, Seong-Joon
    • Journal of the Korean Association of Geographic Information Studies
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    • v.18 no.1
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    • pp.156-169
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    • 2015
  • This study was to evaluate the RCP climate change impact on hydrological components in the Imha-Dam watershed using SWAT(Soil and Water Assessment Tool) Model. The model was calibrated for six year(2002~2007) and validated for six year(2008~2013) using daily observed streamflow data at three watershed stations. The overall simulation results for the total released volume at this point appear reasonable by showing that coefficient of determination($R^2$) were 0.70~0.85 and Nash-Sutcliffe model efficiency(NSE) were 0.67-0.82 for streamflow, respectively. For future hydrologic evaluation, the HadGEM3-RA climate data by scenarios of Representative Concentration Pathway(RCP) 4.5 and 8.5 of the Korea Meteorological Administration were adopted. The biased future data were corrected using 34 years(1980~2013, baseline period) of weather data. Precipitation and temperature showed increase of 10.8% and 4.9%, respectively based on the baseline data. The impacts of future climate change on the evapotranspiration, soil moisture, surface runoff, lateral flow, return flow and streamflow showed changes of +11.2%, +1.9%, +10.0%, +12.1%, +18.2%, and +11.2%, respectively.

Projection of Extreme Precipitation at the end of 21st Century over South Korea based on Representative Concentration Pathways (RCP) (대표농도경로 (RCP)에 따른 21세기 말 우리나라 극한강수 전망)

  • Sung, Jang Hyun;Kang, Hyun-Suk;Park, Suhee;Cho, ChunHo;Bae, Deg Hyo;Kim, Young-Oh
    • Atmosphere
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    • v.22 no.2
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    • pp.221-231
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    • 2012
  • Representative Concentration Pathways (RCP) are the latest emission scenarios recommended to use for the fifth assessment report of Intergovernmental Panel on Climate Change. This study investigates the projection of extreme precipitation in South Korea during the forthcoming 21st Century using the generalized extreme value (GEV) analysis based on two different RCP conditions i.e., RCP 4.5 and 8.5. Maximum daily precipitation required for GEV analysis for RCP 4.5 and 8.5 are obtained from a high-resolution regional climate model forced by the corresponding global climate projections, which are produced within the CMIP5 framework. We found overall increase in frequency of extreme precipitation over South Korea in association with climate change. Particularly, daily extreme precipitation that has been occurred every 20 years in current climate (1980~2005) is likely to happen about every 4.3 and 3.4 years by the end of 21st Century (2070~2099) under the RCP 4.5 and 8.5 conditions, respectively.