• Journal of Environmental Science International
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• v.25 no.7
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• pp.951-961
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• 2016

To prevent increasing instances of heat-related illnesses due to heat waves generated by climate change, a customized thermal environment index should be developed for outdoor workers. In this study, we conducted sensitivity analysis of the Masan harbor during a heat wave period (August 9th to 15th, 2013) using the MENEX model with metabolic rate and clothing-insulation data, in order to obtain realistic information about the thermal environment. This study shows that accurate input data are essential to gather information for thermophysiological indices (PST, DhR, and OhR). PST is sensitive to clothing insulation as a function of clothing. OhR is more sensitive to clothing insulation during the day and to the metabolic rate at night. From these results, it appears that when exposed to high-temperature thermal environments in summer, wearing highly insulated clothing and getting enough rest (to lower the metabolic rate) can aid in preventing heat-related illnesses. Moreover, in the case of high-intensity harbor work, quantification of allowed working time (OhR) during heat waves is significant for human health sciences.

• Journal of the Korea Fashion and Costume Design Association
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• v.6 no.1
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• pp.34-45
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• 2004

The purpose of the study was to investigate weaving, traditional dyeing, fiber material, pattern how carpet developing according to Turkey area for using the data that can rear to the export strategic industry for carpet production and development that is correct in culture. The result are followed: 1) Life of the age was expressed in color and pattern using according to geographical environment, climate, lifestyle, religion etc. 2) In the case of weaving, there is Kilim, Soumak that appears only weft on the surface as plane weaving without knot and carpet of knotted pile weaving and knot of carpet is duplex knot difference with carpet of the other country. 3) In the case of textile material, there is use most wool fiber that can get easily from breeded sheep by nomads. 4) In the case of dyeing, did the local traditional color to use dye extracting in dyeing material that can get easily in the area. Red that can extract in madder that can get easily in which area of Turkey, dark navy blue of indigo dye that indigo plant fermentation and cream beige that is wool's natural color were exposed representative traditional color of Turkey carpet. 5) Pattern was advanced uniquely as culture of the area; weaving person's sensitivity and desire are reflected through centuries. Amulet, riches ＆ honors, fecundity and happiness appeared most pattern in any area.

• Atmosphere
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• v.17 no.4
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• pp.365-379
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• 2007

Global warming may shift the properties and dynamics of ENSO. We study the changes in ENSO characteristics in a coupled general circulation model, ECHO-G/S. First, we analyse the mean state changes by comparing present day simulation and various high $CO_2$ climates. The model shows a little El Nino-like changes in the sea surface temperature and wind stress in the eastern tropical Pacific. As the mean temperature rises, the ENSO amplitude and the frequency of strong El Ninos and La Nina decrease. The analysis shows that the weakening of the oceanic sensitivities is related to the weakening of ENSO. In addition to the surface changes, the remote subsurface sea temperature response in the western Pacific to the wind stress in the eastern Pacific influences the subsequent ENSO amplitude. However, ENSO amplitude does not show linear response to the greenhouse gas concentrations.

• 한국신재생에너지학회:학술대회논문집
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• 2011.05a
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• pp.136.1-136.1
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• 2011

An energy modeling analysis method currently has been considered as a new approach for energy policy research, because the importance of renewable energy use has been emphasized more and more. This study used RETScreen model as a clean energy decision making methodology for adaptation to climate change and elimination of various pollutions. This modeling method includes five step standard analysis; energy model, cost analysis, GHG analysis, financial analysis, and sensitivity & risk analysis and it also assesses both conventional and modern energy sources and technologies. This methodology for the photovoltaic(PV) energy modeling is used to evaluate the energy production, financial performance and GHG emissions reduction of photovoltaic projects. In addition, the PV application systems are classified into three basic applications; On-grid system, Off-grid system and water pumping system. This study assesses the renewable energy techno-economic modeling method with the feasibility analysis result of 10 MW PV power plant in Abu Dhabi in United Arab Emirates. Furthermore this study stresses the importance of renewable energy model research by applying to domestic PV power plant which is now in preparation.

• Proceedings of the KSRS Conference
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• v.1
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• pp.232-235
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• 2006

Using 30 days of hourly visible channel data and DIScrete Ordinate Radiative Transfer (DISORT) model (6S), Aerosol optical depth (AOD) at $0.55{\mu}m$ was retrieved over the East Asia. In contrast with the AOD retrieval using low-earth-orbit satellites such as MODIS (Moderate-Res olution Spectroradiometer) or MISR (Multiangle Imaging SpectroRadiometer), this algorithm with geostationary satellite can improve the monitoring of AOD without the limitation of temporal resolution. Due to the limited number of channels in the conventional meteorological imager onboard the geostationary satellite, an AOD retrieval algorithm utilizing a single visible channel has been introduced. This single channel algorithm has larger retrieval error of AOD than other multiple-channel algorithm due to errors in surface reflectance and atmospheric property. In this study, the effects of manifold atmospheric and surface properties on the retrieval of AOD from the geostationary satellite, are investigated and compared with the AODs from AERONET and MODIS. To improve the accuracy of retrieved AOD, efforts were put together to minimize uncertainties through extensive sensitivity tests. This algorithm can be utilized to retrieve aerosol information from previous geostationary satellite for long-term climate studies.

• Proceedings of the Korea Water Resources Association Conference
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• 2008.05a
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• pp.289-293
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• 2008

현재 기후변화는 점점 가속화되고 있으며, 이로 인해 향후 홍수피해는 더욱 증가될 가능성이 높은 것으로 알려져 있다. 장기적이 측면에서 이러한 홍수피해에 대비하기 위해서는 유역별 홍수에 대한 취약성을 평가하고, 기후변화의 영향을 고려하여 유연한 적응 정책을 마련하는 것이 필요하다. 본 연구에서는 기후변화에 따른 국내유역의 홍수 취약성을 평가하는 방법으로 지표를 이용한 방법을 제안하였다. 이 방법은 기후변화에 따른 홍수 취약성을 민감도(sensitivity), 노출(exposure), 적응능력(adaptation)의 함수로 정의하고, 각 유역별 지표들을 이용하여 상대적인 취약성 정도를 평가하는 것이다. 본 연구에서는 유역의 민감도와 노출정도가 클수록 기후변화에 대한 홍수피해에 취약하고, 적응능력이 클수록 취약성이 낮다고 판단하였다. 본 연구에서 제안한 방법으로 국내 139개 유역에 대해 상대적인 홍수피해 취약성을 평가한 결과 과거 유역별 홍수 피해액의 분포와 유사한 것으로 나타났다. 또한, A2 시나리오를 이용하여 미래 기후변화 상황에서의 홍수피해 취약성에 대해 평가한 결과 국내 유역의 홍수피해는 증가될 가능성이 있는 것으로 전망되었으나 유역별 공간적인 취약성은 크게 변화지 않는 것으로 나타났다.

• Journal of the Institute of Electronics and Information Engineers
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• v.52 no.9
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• pp.147-152
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• 2015

Almost all existing inspection methods for catenary system have relied on dedicated track inspection cars. Two factors make it necessary to modify the conventional method: First, the climate has become increasingly similar to that of a subtropical area. In addition, high speed trains have been developed that can run as fast as 450Km/h. This paper presents a visual catenary inspection system structure that incorporates roadbed information for high-speed running environments. Conventional catenary inspection systems determined the degree of wearing only for the trolley wire. The facility inspection system presented in this paper on the other hand utilizes visual and sound data of inspection targets and adjusts inspection frequency and sensitivity depending on the geographic data.

• Journal of Environmental Health Sciences
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• v.38 no.6
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• pp.460-471
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• 2012

Objectives: Due to global warming resulting from climate change, there has been increasing interest in the relationship between temperature and mortality. These temperature-related deaths depend on diverse conditions related to a given place and person, as well as on time. This study examined changes in the impact of high temperatures on death in summer, using the effect and burden of elevated temperatures on deaths in Seoul and Daegu. Methods: A Poisson regression model was used to estimate short-term temperature effects on mortality. Temperature-related risks were divided into three time periods of equal length (1996-2000, 2001-2005, and 2006-2010). In addition, in order to compare the impact of high temperatures on deaths, this study calculated the proportion of attributable deaths to population, which simultaneously considers the threshold and the slope above the threshold. Results: The effect and burden of high temperatures on deaths is high in Daegu. However, the impact (i.e. the effect and burden) of elevated summer temperatures on deaths has declined over the past 15 years. Sensitivity analyses using alternative thresholds show the robustness of these findings. Conclusion: This study suggests that the attributable burden of high temperatures on deaths to be more plausible than relative risk or threshold for comparing the health impact of high temperatures across populations. Moreover, these results contain important implications for the development or the adjustment of present and future strategies and policies for controlling the temperature-related health burden on populations.

• The Korean Journal of Quaternary Research
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• v.24 no.1
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• pp.1-10
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• 2010

The Indian summer monsoon behaved an abnormal way in 2002 and as a result there was a large deficiency in precipitation (especially in July) over a large part of the Indian subcontinent. For the study of deficient monsoon of 2002, a recent version of the NCAR regional climate model (RegCM3) has been used to examine the important features of summer monsoon circulations and precipitation during 2002. The main characteristics of wind fields at lower level (850 hPa) and upper level (200 hPa) and precipitation simulated with the RegCM3 over the Indian subcontinent are studied using different cumulus parameterization schemes namely, mass flux schemes, a simplified Kuo-type scheme and Emanuel (EMU) scheme. The monsoon circulation features simulated by RegCM3 are compared with the NCEP/NCAR reanalysis and simulated precipitation is validated against observation from the Global Precipitation Climatology Centre (GPCC). Validation of the wind fields at lower and upper levels show that the use of Arakawa and Schubert (AS) closure in Grell convection scheme, a Kuo type and Emanuel schemes produces results close to the NCEP/NCAR reanalysis. Similarly, precipitation simulated with RegCM3 over different homogeneous zones of India with the AS closure in Grell is more close to the corresponding observed monthly and seasonal values. RegcM3 simulation also captured the spatial distribution of deficient rainfall in 2002.

• Research in Plant Disease
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• v.20 no.3
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• pp.173-181
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• 2014

The early and accurate detection of plant viruses is an essential component to control those. Because the globalization of trade by free trade agreement (FTA) and the rapid climate change promote the country-to-country transfer of viruses and their hosts and vectors, diagnosis of viral diseases is getting more important. Because symptoms of viral diseases are not distinct with great variety and are confused with those of abiotic stresses, symptomatic diagnosis may not be appropriate. From the last three decades, enzyme-linked immunosorbent assays (ELISAs), developed based on serological principle, have been widely used. However, ELISAs to detect plant viruses decrease due to some limitations such as availability of antibody for target virus, cost to produce antibody, requirement of large volume of sample, and time to complete ELISAs. Many advanced techniques allow overcoming demerits of ELISAs. Since the polymerase chain reaction (PCR) developed as a technique to amplify target DNA, PCR evolved to many variants with greater sensitivity than ELISAs. Many systems of plant virus detection are reviewed here, which includes immunological-based detection system, PCR techniques, and hybridization-based methods such as microarray. Some of techniques have been used in practical, while some are still under developing to get the level of confidence for actual use.