• Title/Summary/Keyword: Climate Change Assessment

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Uncertainties estimation of AOGCM-based climate scenarios for impact assessment on water resources (수자원 영향평가를 위한 기후변화 시나리오의 불확실성 평가)

  • Park E-Hyung;Im Eun-Soon;Kwon Won-Tae;Lee Eun-Jeong
    • Proceedings of the Korea Water Resources Association Conference
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    • 2005.05b
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    • pp.138-142
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    • 2005
  • The change of precipitation and temperature due to the global. warming eventually caused the variation of water availability in terms of potential evapotranspiration, soil moisture, and runoff. In this reason national long-term water resource planning should be considered the effect of climate change. Study of AOGCM-based scenario to proposed the plausible future states of the climate system has become increasingly important for hydrological impact assessment. Future climate changes over East Asia are projected from the coupled atmosphere-ocean general circulation model (AOGCM) simulations based on Intergovernmental Panel on Climate Change (IPCC) Special Report on Emissions Scenarios (SRES) A2 and B2 scenarios using multi-model ensembles (MMEs) method (Min et al. 2004). MME method is used to reduce the uncertainty of individual models. However, the uncertainty increases are larger over the small area than the large area. It is demonstrated that the temperature increases is larger over continental area than oceanic area in the 21st century.

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Estimation of Carbon Absorption Distribution based on Satellite Image Considering Climate Change Scenarios (기후변화 시나리오를 고려한 위성영상 기반 미래 탄소흡수량 분포 추정)

  • Na, Sang-il;Ahn, Ho-yong;Ryu, Jae-Hyun;So, Kyu-ho;Lee, Kyung-do
    • Korean Journal of Remote Sensing
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    • v.37 no.5_1
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    • pp.833-845
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    • 2021
  • Quantification of carbon absorption and understanding the human induced land use changes forms one of the major study with respect to global climatic changes. An attempt study has been made to quantify the carbon absorption by land use changes through remote sensing technology. However, it focused on past carbon absorption changes. So prediction of future carbon absorption changes is insufficient. This study simulated land use change using the Conversion of Land Use and its Effects at Small regional extent (CLUE-S) model and predicted future changes in carbon absorption considering climate change scenarios 4.5 and 8.5 of the Representative Concentration Pathways (RCP). Results of this study, in the RCP 4.5 scenarios there predicted to be loss of 7.92% of carbon absorption, but in the RCP 8.5 scenarios was 13.02%. Therefore, the approach used in this study is expected to enable exploration of future carbon absorption change considering other climate change scenarios.

The Evaluation of Sediment Yield of Dam-basin considering Future Climate Change in GIS Environment (미래 기후변화를 고려한 GIS 기반의 댐유역 유사량 평가)

  • Lee, Geun-Sang;Choi, Yun-Woong;Cho, Gi-Sung
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2010.04a
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    • pp.383-385
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    • 2010
  • This study analyzed the change of flowout and suspend solid in Andong and Imha basin according to the climate change to develop evaluation index about turbid water occurrence possibility and to support the countermeasures for turbid water management using GIS-based Soil and Water Assessment Tools (SWAT). MIROC3.2 hires model values of A1B climate change scenario that were supplied by Intergovernmental Panel on Climate Change (IPCC) were applied to future climage change data. Precipitation and temperature were corrected by applying the output value of 20th Century Climate Coupled Model (20C3M) based on past climate data during 1977 and 2006 and downscaled with Change Factor (CF) method. And future climate change scenarios were classified as three periods (2020s, 2050s, 2080s) and the change of flowout and suspended solid according to the climate change were estimated by coupling modeled value with SWAT model.

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Assessment of Water Use Vulnerability Considering Climate and Socioeconomic Changes in Han River Watershed (기후 및 사회·경제 변화를 고려한 한강 유역의 물이용 취약성 평가)

  • Park, Hyesun;Kim, Heey Jin;Chae, Yeora;Kim, Yeonjoo
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.37 no.6
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    • pp.965-972
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    • 2017
  • Assessment of vulnerability of water use to climate change include a variety of climate change scenarios. However, in most future vulnerability studies, only the climate change scenarios are used and not the future scenarios of social and economic indicators. Therefore, in this study, we applied the Representative Concentration Pathway (RCP) climate change scenario and Shared Socioeconomic reference Pathway (SSP) developed by IPCC to reflect the future. We selected indicators for estimating the vulnerability of water use, and indices were integrated with a multi-criteria decision making approach - Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The indicator data utilized national statistics and reports, social and economic scenarios, and simulated results from the Soil and Water Assessment Tool (SWAT) model which reflects climate change scenario. Finally, we derived the rankings of water use vulnerability for the short-term future (2020) and mid-term future (2050) within the Han River watershed. Generally, considering climate change alone and considering climate change plus social and economic changes showed a similar spatial distribution. In the future scenarios, the watershed rankings were similar, but showed differences with SSP scenario in some watersheds. Therefore, considering social and economic changes is expected to contribute to more effective responses to climate change.

Climate Change Vulnerability Assessment Based on Spatio-Temporal Information (시.공간정보기반 기후변화 취약성 평가)

  • Choi, Hyun-Ah;Lee, Woo-Kyun;Kwak, Han-Bin;Choi, Sung-Ho;Byun, Jae-Gyun;Yoo, Sung-Jin;Cui, Guishan
    • Journal of Korea Spatial Information System Society
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    • v.11 no.3
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    • pp.63-69
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    • 2009
  • Climate change has influenced on various sectors including ecosystem, water resource, natural hazards and health and so on. Thus, it is essential to more accurately assess climate change impact and prepare adaptation strategy. However, it is difficult to assess for climate change impact on various sectors with integrated form due to various data format by sectors. In this study, we prepared criteria and indicators for assessing climate change impact and integrated GIS based data which in correspond to indicators based on spatio-temporal information using GIS. Finally we suggest a guideline to assess vulnerability of each sectors to climate change based on integrated spatio-temporal information.

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Future Projection and Uncertainty Analysis of Low Flow on Climate Change in Dam Basins (기후변화에 따른 저유량 전망 및 불확실성 분석)

  • Lee, Moon Hwan;Bae, Deg Hyo
    • Journal of Climate Change Research
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    • v.7 no.4
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    • pp.407-419
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    • 2016
  • The low flow is the necessary and important index to establish national water planning, however there are lots of uncertainty in the low flow estimation. Therefore, the objectives of this study are to assess the climate change uncertainty and the effects of hydrological models on low flow estimation. The 5 RCMs (HadGEM3-RA, RegCM4, MM5, WRF, and RSM), 5 statistical post-processing methods and 2 hydrological models were applied for evaluation. The study area were selected as Chungju dam and Soyang river dam basin, and the 30 days minimum flow is used for the low flow evaluation. The results of the uncertainty analysis showed that the hydrological model was the largest source of uncertainty about 41.5% in the low flow projection. The uncertainty of hydrological model is higher than the other steps (RCM, statistical post-processing). Also, VIC model is more sensitive for climate change compared to SWAT model. Therefore, the hydrological model should be thoroughly reviewed for the climate change impact assessment on low flow.

Estimating Worst Case Flood and Inundation Damages under Climate Change

  • Kim, Sunmin;Tachikawa, Yasuto;Nakakita, Eiichi
    • Proceedings of the Korea Water Resources Association Conference
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    • 2016.05a
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    • pp.189-189
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    • 2016
  • To generate information that contributes to climate change risk management, it is important to perform a precise assessment on the impact in diverse aspects. Considering this academic necessity, Japanese government launched continuous research project for the climate change impact assessment, and one of the representative project is Program for Risk Information on Climate Change (Sousei Program), Theme D; Precise Impact Assessment on Climate Change (FY2012 ~ FY2016). In this research program, quantitative impact assessments have been doing from a variety of perspectives including natural hazards, water resources, and ecosystems and biodiversity. Especially for the natural hazards aspect, a comprehensive impact assessment has been carried out with the worst-case scenario of typhoons, which cause the most serious weather-related damage in Japan, concerning the frequency and scale of the typhoons as well as accompanying disasters by heavy rainfall, strong winds, high tides, high waves, and landslides. In this presentation, a framework of comprehensive impact assessment with the worst-case scenario under the climate change condition is introduced based on a case study of Theme D in Sousei program There are approx. 25 typhoons annually and around 10 of those approach or make landfall in Japan. The number of typhoons may not change increase in the future, but it is known that a small alteration in the path of a typhoon can have an extremely large impact on the amount of rain and wind Japan receives, and as a result, cause immense damage. Specifically, it is important to assess the impact of a complex disaster including precipitation, strong winds, river overflows, and high tide inundation, simulating how different the damage of Isewan Typhoon (T5915) in 1959 would have been if the typhoon had taken a different path, or how powerful or how much damage it would cause if Isewan Typhoon occurs again in the future when the sea surface water temperature has risen due to climate changes (Pseudo global warming experiment). The research group also predict and assess how the frequency of "100-years return period" disasters and worst-case damage will change in the coming century. As a final goal in this research activity, the natural disaster impact assessment will extend not only Japan but also major rivers in Southeast Asia, with a special focus on floods and inundations.

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Assessing Future Water Demand for Irrigating Paddy Rice under Shared Socioeconomic Pathways (SSPs) Scenario Using the APEX-Paddy Model (APEX-paddy 모델을 활용한 SSPs 시나리오에 따른 논 필요수량 변동 평가)

  • Choi, Soon-Kun;Cho, Jaepil;Jeong, Jaehak;Kim, Min-Kyeong;Yeob, So-Jin;Jo, Sera;Owusu Danquah, Eric;Bang, Jeong Hwan
    • Journal of The Korean Society of Agricultural Engineers
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    • v.63 no.6
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    • pp.1-16
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    • 2021
  • Global warming due to climate change is expected to significantly affect the hydrological cycle of agriculture. Therefore, in order to predict the magnitude of climate impact on agricultural water resources in the future, it is necessary to estimate the water demand for irrigation as the climate change. This study aimed at evaluating the future changes in water demand for irrigation under two Shared Socioeconomic Pathways (SSPs) (SSP2-4.5 and SSP5-8.5) scenarios for paddy rice in Gimje, South Korea. The APEX-Paddy model developed for the simulation of paddy environment was used. The model was calibrated and validated using the H2O flux observation data by the eddy covariance system installed at the field. Sixteen General Circulation Models (GCMs) collected from the Climate Model Intercomparison Project phase 6 (CMIP6) and downscaled using Simple Quantile Mapping (SQM) were used. The future climate data obtained were subjected to APEX-Paddy model simulation to evaluate the future water demand for irrigation at the paddy field. Changes in water demand for irrigation were evaluated for Near-future-NF (2011-2040), Mid-future-MF (2041-2070), and Far-future-FF (2071-2100) by comparing with historical data (1981-2010). The result revealed that, water demand for irrigation would increase by 2.3%, 4.8%, and 7.5% for NF, MF and FF respectively under SSP2-4.5 as compared to the historical demand. Under SSP5-8.5, the water demand for irrigation will worsen by 1.6%, 5.7%, 9.7%, for NF, MF and FF respectively. The increasing water demand for irrigating paddy field into the future is due to increasing evapotranspiration resulting from rising daily mean temperatures and solar radiation under the changing climate.

Application Study of Vulnerability Assessment Models for Water Resources to Climate Change by Spatial and Watershed Scales (수자원 기후변화 취약성 평가모형의 공간 및 유역규모별 적용 연구)

  • Chung, Ji Woong;Lee, Woo-Kyun;Cui, Guishan;Lee, Sang Chul;Choi, Sungho;Choi, Hyun-Ah
    • Journal of Climate Change Research
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    • v.1 no.1
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    • pp.21-30
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    • 2010
  • In this study, vulnerability of water resources to climate change was assessed in terms of flood, drought and water management. Criteria and indicators were employed for assessing the vulnerability. The criteria used to assess the vulnerability was sensitivity of the study area, the exposure to climate and the adaptability to climate change. These criteria were quantified and standardized using corresponding indicators. Vulnerability of water resources to climate change is assessed to be generally increasing over time. The appropriate watershed scales are the large drainage basin for national level vulnerability assessment and the small drainage basin for local one.

Development of Distributed Hydrological Analysis Tool for Future Climate Change Impacts Assessment of South Korea (전국 기후변화 영향평가를 위한 분포형 수문분석 툴 개발)

  • Kim, Seong Joon;Kim, Sang Ho;Joh, Hyung Kyung;Ahn, So Ra
    • Journal of The Korean Society of Agricultural Engineers
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    • v.57 no.2
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    • pp.15-26
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    • 2015
  • The purpose of this paper is to develop a software tool, PGA-CC (Projection of hydrology via Grid-based Assessment for Climate Change) to evaluate the present hydrologic cycle and the future watershed hydrology by climate change. PGA-CC is composed of grid-based input data pre-processing module, hydrologic cycle calculation module, output analysis module, and output data post-processing module. The grid-based hydrological model was coded by Fortran and compiled using Compaq Fortran 6.6c, and the Graphic User Interface was developed by using Visual C#. Other most elements viz. Table and Graph, and GIS functions were implemented by MapWindow. The applicability of PGA-CC was tested by assessing the future hydrology of South Korea by HadCM3 SRES B1 and A2 climate change scenarios. For the whole country, the tool successfully assessed the future hydrological components including input data and evapotranspiration, soil moisture, surface runoff, lateral flow, base flow etc. From the spatial outputs, we could understand the hydrological changes both seasonally and regionally.