• Title/Summary/Keyword: climate driver

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Cumulative GHG Reduction Impact Analysis by the Diffusion of Solar Thermal Energy Concerning Technologies for the Residential Sector (주거용 건물부문 태양열 기술 보급에 따른 누적 온실가스 감축 효과 분석)

  • Rhee, Dong-eun;Kim, Seung Jin;Jeon, Eui-Chan
    • Journal of Climate Change Research
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    • v.5 no.3
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    • pp.267-275
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    • 2014
  • A key driver for climate change caused by global average temperature rise is greenhouse gas cumulative emissions that stay for long term in the atmosphere. Although at the moment there is no GHG emission, global warming will continue owing to GHG cumulative emission. In this study, scenarios are developed based on two types of optimistic and conservative diffusion goal. There were a total of 6 alternatives scenarios. The objective of this study are to compare scenarios in terms of GHG cumulative emissions and alternative fuels. An object of analysis is the residential buildings and time frame of scenarios is set up by 2030. And this study uses the LEAP model that is a bottom-up energy model. In conclusion, It is important to set specific diffusion pathway for mitigating climate change virtually.

Derivation of Design Flood Using Multisite Rainfall Simulation Technique and Continuous Rainfall-Runoff Model

  • Kwon, Hyun-Han
    • Proceedings of the Korea Water Resources Association Conference
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    • 2009.05a
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    • pp.540-544
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    • 2009
  • Hydrologic pattern under climate change has been paid attention to as one of the most important issues in hydrologic science group. Rainfall and runoff is a key element in the Earth's hydrological cycle, and associated with many different aspects such as water supply, flood prevention and river restoration. In this regard, a main objective of this study is to evaluate design flood using simulation techniques which can consider a full spectrum of uncertainty. Here we utilize a weather state based stochastic multivariate model as conditional probability model for simulating the rainfall field. A major premise of this study is that large scale climatic patterns are a major driver of such persistent year to year changes in rainfall probabilities. Uncertainty analysis in estimating design flood is inevitably needed to examine reliability for the estimated results. With regard to this point, this study applies a Bayesian Markov Chain Monte Carlo scheme to the NWS-PC rainfall-runoff model that has been widely used, and a case study is performed in Soyang Dam watershed in Korea. A comprehensive discussion on design flood under climate change is provided.

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A Study on the Actual Wearing Conditions of Korean Military Tank Driver's Clothing (전차병복 착용실태에 관한 연구)

  • Kwon, Seo-Yoon;Lim, Chae-Guen;Shin, Dong-Woo;Jung, Hyun-Mi
    • Fashion & Textile Research Journal
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    • v.13 no.4
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    • pp.582-589
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    • 2011
  • The purpose of this study was to investigate problems of design, fitness, suitability for movement, and comfort in current Korean military tank driver's clothing through analysis of actual wearing condition by questionnaire and field evaluation and. to provide basic data for developing a improved design of Korean military tank driver's clothing. The survey was done for 477 military tank driver and the field evaluation was also done for evaluation. The overall satisfaction for design of military tank driver's clothing(3.25) was higher than that for the easiness in wearing and taking off(2.76). The military tank drivers evaluated that current coverall type of clothing is more suitable than two-piece type of clothing. The overall satisfaction for fitness of clothing was as a whole low(2.82~3.09), Especially, the satisfaction for fitness of from front and back rise length was the lowest one. In the satisfaction for clothing materials, the satisfaction for the breathability of material was the lowest, followed by clothing insulation and air permeability. The satisfaction for movement was low in bending waist and raising forward and aside. The part which surveyors think most dissatisfactory was also front and back rise length. The frequency in use of pocket was the highest in chest pocket, followed by waist and pants pockets. The satisfaction for opening easiness of hips opening part was very low(2.64).

Development of Flood Vulnerability Index Considering Climate Change (기후변화를 고려한 홍수취약성지표의 개발)

  • Son, Min-Woo;Sung, Jin-Young;Chung, Eun-Sung;Jun, Kyung-Soo
    • Journal of Korea Water Resources Association
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    • v.44 no.3
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    • pp.231-248
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    • 2011
  • This study aims to develop the Flood Vulnerability Index (FVI) and apply it to the Bukhan River Basin. A1B and A2 scenarios of CGCM3 of IPCC were adopted and SDSM (Statistical Downscaling Model) was used to downscale the original data to the daily data. Driver-Presure-State-Impact-Response (DPSIR) model was introduced to select all appropriate indicators for FVI and the daily rainfall-runoff model was simulated using HSPF (Hydrological Simulation Program-Fortran). Since FIV proposed in this study has a capability to quantify the potential flood vulnerability considering both present and future climate conditions, it is expected to be used for the comprehensive water resources and environmental planning.

Record-breaking High Temperature in July 2021 over East Sea and Possible Mechanism (2021년 7월 동해에서 발생한 극한 고온현상과 기작)

  • Lee, Kang-Jin;Kwon, MinHo;Kang, Hyoun-Woo
    • Atmosphere
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    • v.32 no.1
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    • pp.17-25
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    • 2022
  • As climate change due to global warming continues to be accelerated, various extreme events become more intense, more likely to occur and longer-lasting on a much larger scale. Recent studies show that global warming acts as the primary driver of extreme events and that heat-related extreme events should be attributed to anthropogenic global warming. Among them, both terrestrial and marine heat waves are great concerns for human beings as well as ecosystems. Taking place around the world, one of those events appeared over East Sea in July 2021 with record-breaking high temperature. Meanwhile, climate condition around East Sea was favorable for anomalous warming with less total cloud cover, more incoming solar radiation, and shorter period of Changma rainfall. According to the results of wave activity flux analysis, highly activated meridional mode of teleconnection that links western North Pacific to East Asia caused localized warming over East Sea to become stronger.

A New Approach of BLDC Motor Using Unidirectional Current in the Driver Circuit and its Future Prospects

  • Yasuhiro, Komatsu;Zawawi, Syed Abdul Kadir
    • Journal of international Conference on Electrical Machines and Systems
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    • v.1 no.1
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    • pp.91-98
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    • 2012
  • Climate change and other pollutions make a huge demand of environment friendly and high efficient motors especially Brushless DC (BLDC) motors. Generally, bidirectional energized BLDC motors are used widely; however, inverter devices used in the driver put fear of being effected by noise. This paper proposes unidirectional energized BLDC motor which utilizes asymmetrical H-bridge circuit as the driver circuit. The Minato motor is one of the pioneers in unidirectional energized system. The use of bar magnets in the rotor is one of the biggest disadvantages of the motor. We proposed using tabular magnets. The paper compares the power consumption and efficiency of the Minato motor and the proposed motor. During high speed rotation, undesirable armature current is generated that has a deceleration characteristic. This current lowers the motor's efficiency. In this paper, we propose the solutions and show comparison through equations of the copper loss ratio for the Minato and our proposed motors. The third motor, which has the highest efficiency, was discovered during examination of the equations.

Seasonal Rainfall Outlook of Nakdong River Basin Using Nonstationary Frequency Analysis Model and Climate Information (기상인자와 비정상성 빈도해석 모형을 이용한 낙동강유역의 계절강수량 전망)

  • Kwon, Hyun-Han;Lee, Jeong-Ju
    • Journal of Korea Water Resources Association
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    • v.44 no.5
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    • pp.339-350
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    • 2011
  • This study developed a climate informed Bayesian nonstationary frequency model which allows us to forecast seasonal summer rainfall at Nakdong River. We constructed a 37-year summer rainfall data set from 10 weather stations within Nakdong river basin, and two climate indices from sea surface temperature (SST) and outgoing longwave radiation (OLR) were derived through correlation analysis. The selected SST and OLR have been widely acknowledged as a climate driver for summer rainfall. The developed model was applied first to the 2010-year summer rainfall (888.1 mm) in order to assure ourself. We demonstrated model performance by comparing posterior distributions. It was confirmed that the proposed model is able to produce a reasonable forecast. The forecasted value is about 858.2 mm, and the difference between forecast and observation is about 30 mm. As the second case study, 2011-year summer rainfall forecast was made using an observed winter SSTs and an assumed 50% value of OLRs. The forecasted value is 967.7 mm and associated exceedance probability over average summer rainfall 680 mm is 92.9%. In addition, 50-year return period for summer rainfall was projected through the nonstationary frequency model. An exceedance probability over 1,400 mm corresponding to the 50-year return level is about 73.7%.

Climate change and resilience of biocontrol agents for mycotoxin control

  • Magan, Naresh;Medina, Angel
    • 한국균학회소식:학술대회논문집
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    • 2018.05a
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    • pp.41-41
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    • 2018
  • There has been an impetus in the development of biocontrol agents (BCAs) with the removal of a number of chemical compounds in the market, especially in the European Union. This has been a major driver in the development of Integrated Pest Management systems (IPM) for both pest and disease control. For control of mycotoxigenic fungi, there is interest in both control of colonization and more importantly toxin contamination of staple food commodities. Thus the relative inoculum potential of biocontrol agent vs the toxigenic specie sis important. The major bottlenecks in the production and development of formulations of biocontrol agents are the resilience of the strains, inoculum quality and formulation with effective field efficacy. It was recently been shown for mycotoxigenic fungi such as Aspergillus flavus, under extreme climate change conditions, growth is not affected although there may be a stimulation of aflatoxin production. Thus, the development of resilient biocontrol strains which can may have conserved control efficacy but have the necessary resilience becomes critical form a food security point of view. Indeed, under predicted climate change scenarios the diversity of pests and fungal diseases are expected to have profound impacts on food security. Thus, when examining the identification of potential biocontrol strains, production and formulation it is critical that the resilience to CC environmental factors are included and quantified. The problems in relation to the physiological competence and the relative humidity range over which efficacy can occur, especially pre-harvest may be increase under climate change conditions. We have examined the efficacy of atoxigenic strains of A. flavus and Clanostachys rosea and other candidates for control of A. flavus and aflatoxin contamination of maize, and for Fusarium verticillioides and fumonisin toxin control. We have also examined the potential use of fluidized-bed drying, nanoparticles/nanospheres and encapsulation approaches to enhance the potential for the production of resilient biocontrol formulations. The objective being the delivery of biocontrol efficacy under extreme interacting climatic conditions. The potential impact of climate change factors on the efficacy of biocontrol of fungal diseases and mycotoxins are discussed.

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Analysis on Price Driver of Spread and Different Patterns of EUA and sCER (탄소배출권 EUA와 sCER의 가격 차이 패턴 및 스프레드(Spread) 결정 요인 분석)

  • Park, Soonchul;Cho, Yongsung
    • Environmental and Resource Economics Review
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    • v.22 no.4
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    • pp.759-784
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    • 2013
  • Participants can use the allowances and offsets for implementing the compliance in the Emissions Trading Scheme(ETS). There are alternative commodities which are different prices it gives the opportunities to reduce the compliance costs and get the arbitrage. This study analyzes the price driver of spread which is the difference between EUA and sCER using AR-GARCH model, EUA and CER during the Phase 2 in EU ETS. The results show that there are common elements which impacts the EUA and sCER and also different elements between them. EUA and sCER get the effects from energy price and economic criteria such as coal price and financial crisis as common elements. However them get the effects from electric price, policy criteria such as restricted CERs and difference price between EUA and ERU price as different elements. The results shows that spread will be widen if energy price increase, especially oil and electric price give more impacts the spreads. This study has the means that it explains the reason why the spreads will broaden sharply in 2012. And it also suggests the price driver of spread during the whole period of Phase 2. In addition, this study shows that political aspects maybe become the main criteria of price change with structural elements shch as energy price in Korea ETS which starts in 2015.

Maize improvement largely driven by contributions from many loci of small effect

  • Beissinger, Tim
    • Proceedings of the Korean Society of Crop Science Conference
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    • 2017.06a
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    • pp.6-6
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    • 2017
  • In recent decades, scientists have had great success identifying specific loci that contribute to the variability of agronomically important phenotypes. But, while loci of large-effect remain the simplest and most commonly identified in genomic studies, mounting evidence suggests that a substantial proportion of crop evolution is driven by loci of small effect. In this talk, results demonstrating that large-effect loci are not the primary driver of maize evolution will be presented, along with a new method to test quantitative traits for evidence of past selection. By applying this this method to a maize breeding population, we show that agronomic traits important for breeding are often dictated by loci of small effect. The implications of these results for driving crop improvement will be discussed, including their potential application to breeding protocols that anticipate global climate change.

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