• 제목/요약/키워드: Climate impacts

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Climate Change Vulnerability Assessment of Cool-Season Grasslands Based on the Analytic Hierarchy Process Method

  • Lee, Bae Hun;Cheon, Dong Won;Park, Hyung Soo;Choi, Ki Choon;Shin, Jeong Seop;Oh, Mi Rae;Jung, Jeong Sung
    • 한국초지조사료학회지
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    • 제41권3호
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    • pp.189-197
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    • 2021
  • Climate change effects are particularly apparent in many cool-season grasslands in South Korea. Moreover, the probability of climate extremes has intensified and is expected to increase further. In this study, we performed climate change vulnerability assessments in cool-season grasslands based on the analytic hierarchy process method to contribute toward effective decision-making to help reduce grassland damage caused by climate change and extreme weather conditions. In the analytic hierarchy process analysis, vulnerability was found to be influenced in the order of climate exposure (0.575), adaptive capacity (0.283), and sensitivity (0.141). The climate exposure rating value was low in Jeju-do Province and high in Daegu (0.36-0.39) and Incheon (0.33-0.5). The adaptive capacity index showed that grassland compatibility (0.616) is more important than other indicators. The adaptation index of Jeollanam-do Province was higher than that of other regions and relatively low in Gangwon-do Province. In terms of sensitivity, grassland area and unused grassland area were found to affect sensitivity the most with index values of 0.487 and 0.513, respectively. The grassland area rating value was low in Jeju-do and Gangwon-do Province, which had large grassland areas. In terms of vulnerability, that of Jeju-do Province was lower and of Gyeongsangbuk-do Province higher than of other regions. These results suggest that integrating the three aspects of vulnerability (climate exposure, sensitivity, and adaptive capacity) may offer comprehensive and spatially explicit adaptation plans to reduce the impacts of climate change on the cool-season grasslands of South Korea.

기후변화와 자연재난의 건강영향 (Health Impacts of Climate Change and Natural Disaster)

  • 김대선;이철우
    • 적정기술학회지
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    • 제5권2호
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    • pp.118-125
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    • 2019
  • 제 5차 IPCC보고서(2014)에 의하면, 지구온난화의 원인은 온실가스(GHG)에 기인하며 가장 중요한 화석연료의 연소에서 발생하는 CO2, NO2, 메탄 등이다. IPCC는 2099년까지 지구 온도가 3.7℃ 상승하고 해수면은 0.63 m 상승할 것으로 예측하였다. 기후변화는 SDGs의 매우 중요한 한 부분이며, 그중 지구온난화는 잠재적으로 인류 건강에 가장 큰 위협이며 여러 다양한 질병의 원인이다. 만약 현재의 가스 배출과 토지이용의 추세가 계속된다면 미래의 세대는 질병, 부상, 자연재난으로 인한 사망, 감염, 영양부족, 대기오염으로 인한 사망율 등 매우 심각한 상황에 직면하게 될 것이다. 이 글에서는 홍수, 가뭄, 열 스트레스. 대기오염, 물부족, 영양실조, 전염성질환, 매개질환 등 지구기후변화와 이와 관련된 자연재난과 인류 건강의 관계를 조명하여 보았다.

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

  • 김성준;김상호;조형경;안소라
    • 한국농공학회논문집
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    • 제57권2호
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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.

기후변화에 따른 수자원 영향 평가를 위한 Regional Climate Model에 의한 강수 자료의 특성 분석 (Analysis of Regional Climate Model For Climate Change Impacts on Water Resources)

  • 권현한;김병식;윤석영;김보경
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2008년도 학술발표회 논문집
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    • pp.1018-1022
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    • 2008
  • 2007년 Intergovernmental Panel on Climate Change(IPCC) 4차보고서 이후로 지구 온난화에 대한 다양한 부분에 영향 분석 연구가 더욱 활발하게 진행되고 있으며, 그 가운데 수자원 즉 육상의 물 순환은 인간 활동과 생태계 전반에 대한 직접 영향으로 인해 기후변화 정책 수립 시 그 중요성이 더욱 부각되고 있다. 현재까지, 많은 연구에 있어서 Global Circulation Model (GCM)을 직접 축소기법을 이용한 후 이를 수문 모형에 입력하여 수자원 영향 분석을 실시해오고 있다. 국외를 중심으로 기존 GCM보다 해상도가 높은 Regional Climate Model(RCM)을 이용한 분석이 일부 시행되고 있으나, 국내에서는 자료의 가용 여부 및 적용성의 검토가 아직 미비한 실정이다. 이러한 관점에서 본 연구에서는 27km의 해상도를 갖는 기상청 RegCM3 RCM에서 도출된 10일 간격 기후변화 SRES 시나리오 자료에 대한 적합성을 평가하고자 한다. 적합성을 평가 하기위해서 국내 주요지점에 근접한 격자자료를 RCM으로부터 추출하고 이에 대한 수문학적 특성치 분석, 저빈도 분석(low frequency analysis), 극치사상의 분포형태 등을 실측 강수자료와 다양한 형태로 비교 검토하여 RCM 자료의 적합성을 평가하였다.

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FAO-AquaCrop을 이용한 기후변화가 벼 증발산량 및 수확량에 미치는 영향 모의 (Simulating Evapotranspiration and Yield Responses of Rice to Climate Change using FAO-AquaCrop)

  • 정상옥
    • 한국농공학회논문집
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    • 제52권3호
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    • pp.57-64
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    • 2010
  • The impacts of climate change on yield and evapotranspiration of rice have been modeled using AquaCrop model developed by Food and Agriculture Organization (FAO). Climate change scenario downscaled by Mesoscale Model 5 (MM5) regional model from ECHO-G General Circulation Model (GCM) outputs by Korea Meteorological Research Institute (METRI) was used in this study. Monthly average climate data for baseline (1971-2000) and three time periods (2020s, 2050s and 2080s) were used as inputs to the AquaCrop model. The results showed that the evapotranspiration after transplanting was projected to increase by 4 % (2020s), 8 % (2050s) and 14 % (2080s), respectively, from the baseline value of 464 mm. The potential rice yield was 6.4 t/ha and water productivity was 1.4 kg/$m^3$ for the baseline. The potential rice yield was projected to increase by 23 % (2020s), 55 % (2050s), and 98 % (2080s), respectively, by the increased photosynthesis along with the $CO_2$ concentration increases. The water productivity was projected to increase by 19 % (2020s), 44 % (2050s), and 75 % (2080s), respectively.

기후변화에 따른 지표수의 수온 영향평가 (Projected Climate Change Impact on Surface Water Temperature in Korea)

  • 안종호;한대호
    • 한국물환경학회지
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    • 제26권1호
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    • pp.133-139
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    • 2010
  • Global human activities associated with the use of fossil fuels have aggravated climate change, increasing air temperature. Consequently, climate change has the potential to alter surface water temperature with significant impacts on biogeochemical cycling and ecosystems in natural water body. In this study, we examined temporal trends on historical records of surface water temperature, and investigated the air temperature/water temperature relationship and the potential water temperature change from an air temperature scenario developed with regional climate model. Although the temporal trends of water temperature are highly variable site-by-site, surface water temperature was highly dependent on air temperature, and has increased significantly in some sub-watersheds over the last two decades. The results presented here demonstrate that water temperature changes are expected to be slightly higher in river system than reservoir systems and more significant during winter than summer for both river and reservoir system. Projected change of surface water temperature will likely increase $1.06^{\circ}C$ for rivers and $0.95^{\circ}C$ for reservoirs during the period 2008 to 2050. Given the potential climatic changes, every $1^{\circ}C$ increase in water temperature could cause dissolved oxygen levels to fall every 0.206 ppm.

Impacts of Climate Change on Water Crisis and Formation of Green Algal Blooms in Vietnam

  • Thriveni, Thenepalli;Lee, Namju;Nam, Gnu;Whan, Ahn Ji
    • 에너지공학
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    • 제26권1호
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    • pp.68-75
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    • 2017
  • Global warming affects water supply and water resources throughout the world. In many countries, climate change affects significantly on the fresh water resources. Vietnam is exposed mainly, to landslides and floods triggered by tropical storms and monsoon rains, although storm surge, whirlwind, river bank and coastal line erosion, hail rain. In addition to the prevalent drought, there are many major water challenges, including water availability, stress, scarcity and accessibility, because of poor resource management. Fast growth of urbanization, industrialization and population growth, agricultural activities and climate change cause heavy pressure on water quality. Both domestic and industrial wastewater, as well as storm water shares the same drainage. The common facilities for wastewater treatment are not available. Therefore, wastewater is treated only superficially and then discharged directly into rivers and lakes causing serious pollution of surface water environment. In this paper, we reported the severe water crisis and massive green algal blooms formation in Vietnam rivers and lakes. This is the biggest evidence of climate change variations in Vietnam.

수문기상가뭄지수 (HCDI) 개발 및 가뭄 예측 효율성 평가 (Development of Hydroclimate Drought Index (HCDI) and Evaluation of Drought Prediction in South Korea)

  • 류재현;김정진;이경도
    • 한국농공학회논문집
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    • 제61권1호
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    • pp.31-44
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    • 2019
  • The main objective of this research is to develop a hydroclimate drought index (HCDI) using the gridded climate data inputs in a Variable Infiltration Capacity (VIC) modeling platform. Typical drought indices, including, Standardized Precipitation Index (SPI), Standardized Precipitation Evapotranspiration Index (SPEI), and Self-calibrated Palmer Drought Severity Index (SC-PDSI) in South Korea are also used and compared. Inverse Distance Weighting (IDW) method is applied to create the gridded climate data from 56 ground weather stations using topographic information between weather stations and the respective grid cell ($12km{\times}12km$). R statistical software packages are used to visualize HCDI in Google Earth. Skill score (SS) are computed to evaluate the drought predictability based on water information derived from the observed reservoir storage and the ground weather stations. The study indicates that the proposed HCDI with the gridded climate data input is promising in the sense that it can help us to predict potential drought extents and to mitigate its impacts in a changing climate. The longer term drought prediction (e.g., 9 and 12 month) capability, in particular, shows higher SS so that it can be used for climate-driven future droughts.

구조방정식을 활용한 연구활동종사자의 안전행동 향상 방안 연구 (Research on Enhancing the Safety Behaviors of Research Workers Using Structural Equation Modeling)

  • 김경윤;조한진;원정훈
    • 한국안전학회지
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    • 제38권6호
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    • pp.79-87
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    • 2023
  • This study focuses on safety behavior among research workers and investigates the factors influencing their safety behavior. The selected variables for examining their impact on researchers' safety behavior are safety leadership, safety climate, and safety motivation. Surveys were conducted to analyze the structural equation modeling among these variables. The results indicate that the safety leadership of research supervisors positively influences the creation of a safety climate in research laboratories. Additionally, the safety climate positively impacts research workers' safety motivation and behavior. Therefore, to enhance the safety behavior of research workers, it is necessary to strengthen safety leadership education to improve the safety leadership of laboratory supervisors. The laboratory can enhance its safety climate by implementing management policies and safety regulations, fostering communication among members, and providing safety education.

산림바이오매스에너지에 관한 과학적 근거에 따른 통설적 접근 (Forest Biomass Utilization for Energy Based on Scientifically Grounded and Orthodox)

  • 이승록;한규성
    • 신재생에너지
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    • 제20권1호
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    • pp.145-174
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    • 2024
  • Addressing climate change necessitates evidence-based policies grounded in science. The use of forest biomass for energy production is based on a broad scientific consensus at the international level. However, some environmental groups in South Korea are opposing this system of energy production. Through this study, the authors aim to reduce unnecessary confusion and foster an atmosphere conducive to meaningful evidence-based policies. We have classified the issue into eight categories: biological carbon cycle, carbon debt, nature-based solutions, air emissions, cascading principles and sustainability certification, forest environmental impacts, climate change litigation, and the behavior of environmental groups and public perception. Consequently, the following key points were derived: (1) the actions of some environmental groups seem to follow a similar pattern to denialist behavior that denies climate change and climate science; (2) the quality of evidence for campaigns that oppose the use of forest biomass for energy production is low, with a tendency to overgeneralize information, high uncertainty, and difficulty in finding new claims.; (3) most of the public believes that forest biomass energy is necessary, and the governments of major countries are aware of its importance. Significantly, Forest biomass for energy is based on an overwhelming level of scientific consensus recognized internationally.