• Proceedings of the KSRS Conference
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• v.1
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• pp.159-162
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• 2006

This paper describes the ground system for COMS (Communication, Ocean, and Meteorological Satellite), the first Korean multi-purposed geostationary satellite, at MSC (Meteorological Satellite Center) in Korea. The overview of COMS MI (Meteorological Imager) will be introduced as well. KMA would implement mission planning for COMS MI operation and receive, process, interpret, disseminate, and archive MI data operationally for domestic and foreign user groups. Major missions of COMS MI are mitigation of natural hazard such as typhoon, dust storm, and heavy rain, and short-term warning of severe weather to protect human health and commerce. Moreover, research of climate variability and long-term changes will be supported. In accordance with those missions, the concept and design of COMPASS (COMS operation and meteorological products application service system), the ground system for COMS MI in MSC, have been setting up since 2004. Currently, COMPASS design is being progressed and will have finished the end of 2006. The development of COMPASS has three phases: first phase is development of fundamental COMPASS components in 2007, second phase is to integrate and test all of the COMPASS components in 2008, and the last phase is to operate COMPASS after COMS In-Orbit Tests in 2009.

• Food Industry
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• s.212
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• pp.68-74
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• 2009

기후변화(Climate change) 문제가 세계적인 초미의 관심사로 대두되고 있다. 특히 기후변화의 주범이 인간활동인 것이 밝혀지면서(IPCC, 2007), 국제사회는 기후변화협약(UNFCCC), 온실가스 배출량 규제 등 21세기 인류가 직면한 최대 위기인 기후변화를 극복을 위한 완화(mitigation)와 적응(adaptation) 전략을 수립하고 시행하기 위하여 총력을 기울이고 있다. 기후변화는 인류와 관련된 모든 분야에 다양하면서 광범위한 영향을 준다. 특히 기후변화로 인한 기온, 습도, 강수량 등의 변동은 식품과 관련된 생물학적, 화학적 및 물리적 위해인자들의 변화를 초래할 것이고, 이는 곧 식품안전 사건과 사고와 직결된다. 우리나라의 기후변화가 이미 국제적 기후변화의 수준을 추월하였고, 향후 급속한 기후변화가 전망됨에 따라(국립기상청, 2009) 기후변화로 인한 식품안전 분야의 적절한 사전예방적 대책 마련이 필요한 상황이다. 이러한 대책의 수립이 시급함에도 불구하고, 기후변화와 식품안전에 대한 과학적으로 증명되어야 할 불확실한 부분이 많이 내재되어 있는 것도 사실이다. 따라서 본고에서는 기후변화로부터 식품안전을 확보하기 위한 제도 정책적 전략 수립에 도움을 주고, 기후변화에 따른 식품안전 분야의 영향에 대한 정보를 국민에게 정확하게 전달할 수 있는 홍보 교육 자료의 개발에 활용할 목적으로 수행된 "기후변화와 식품안전에 대국민 인지도 설문조사" 내용 중 종요한 부분을 발취하여 정리하였다. 이 설문조사는 전국 16대 광역시도에 거주하는 만 13세 이상의 국민을 대상(유효 응답자수 1,036명)으로 "기후변화 인식수준", "식품안전 인식 수준", "식품안전 지식 수준"에 대한 16가지 질문을 전화 면접조사를 통해 설시되었다(표준오차 3.04%, 95% 신뢰수준).

• 한국방재학회:학술대회논문집
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• 2011.02a
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• pp.205-205
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• 2011

본 연구에서는 한반도의 유역별 대표 기상관측 지점을 선정하여 기후변화로 인하여 미래에 나타날 수 있는 가뭄의 경향성을 분석하였다. 분석을 위한 자료는 실제 강수량 자료(1974~1999년)와 A2시나리오를 따르는 5개의 GCMs(General Circulation Model) 자료를 통계적 상세화한 강수량 자료(1974~2099년)를 이용하여 산정한 지속기간 6개월의 SPI(Standardized Precipitation Index)를 사용하였다. 분석을 위한 대표 기상관측 지점으로는 춘천, 서울, 대전, 대구, 전주, 광주, 부산 지점을 선정하였으며 GCM으로는 호주(CSIRO : MK3), 미국(GFDL : CM2_1), 독일/한국(CONS : ECHO-G), 일본(MRI : CGCM2_3_2), 영국(UKMO : HADGEM1)의 GCM을 선정하였다. 가뭄의 통계적 특성을 분석하기 위하여 Mann-Kendall 검정을 통한 경향성 분석과 Wavelet Transform 분석을 통한 주기성 분석을 하였으며 Drought Spell을 이용하여 가뭄심도별 발생빈도를 보았다. 그 결과, 경향성 분석에서는 각 GCMs의 차이를 볼 수 있었으며 CSIRO : MK3.0, GFDL : CM2_1, MIUB : ECHO-G 모델에서는 전체적으로 가뭄이 완화되고 MRI : CGCM2_3_2, UKMO : HADGEM1 모델에서는 가뭄이 심화되는 것으로 나타났다. 주기성 분석에서는 춘천, 서울에서는 낮은 주기를 대전, 대구, 전주, 광주, 부산지점에서는 다소 긴 주기를 보여주었다. Drought-spell에 의한 분석에서는 전 관측지점에서 SPI의 이론적인 확률밀도 함수값과 유사하게 나타나고 있었으며 이를 통해, 미래에는 극심한 가뭄의 빈도가 증가하고 있는 것을 예측할 수 있었다.

• Journal of Forest and Environmental Science
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• v.34 no.2
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• pp.108-118
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• 2018

Biomass determination of species-specific in forest ecosystem by semi-destructive measures requires the development of allometric equations; predict aboveground biomass observable independent variables such as, Diameter at Breast Height, Height, and Volume are crucial role. There has not been equation of this type in mountain Chuqala natural forest. In this study two species namely, Hypericum revolutum Vahl. & Maesa lanceoleta Forssk. with tree diameter classes (15-20, 20.5-25, and 25.5-35 cm), with the purpose of conducting allometric equations were characterized. Each species assumed considered individually. For the linear model fit the two observed variable DBH, H and V were preferred for the prediction of above ground biomass. The best fitted model choose among the two formed model were identified using Akaike Information Criterion (AIC), and $R^2$ and adjacent $R^2$. Based on this the best fit model for Hypericum revolutum Vahl. was AGB=-681.015+4,494.06 (DBH), and for Maesa lanceoleta Forrsk. was. AGB=-936.96+5,268.92 (DBH).

• Journal of Environmental Science International
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• v.22 no.3
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• pp.269-279
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• 2013

In this paper, an environmental assessment was carried out on the whole process of industrial business activities to establish a basic plan for climate change mitigation and energy independency. The whole process was divided into each discharge process in terms of water, air, solid waste, green house gases and refractory organic compounds. The flowcharts and basic unit of process were analysed for three years (2008-2010), being utilized as basic information for the life cycle assessment. It was found that the unit loading for the whole process significantly depends on changes in the operation rate change and highly concentrated wastewater inflow. About 35% of solid waste production was reduced by improving the incineration method with co-combustion in coal boiler, generating about 57% of electricity used for the whole process, and consequently reducing the energy costs. As the eco-efficiency index was found to be more than 1, compared to the previous years, it can be said that improvement in general has taken place.

• Korean Journal of Remote Sensing
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• v.27 no.3
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• pp.389-401
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• 2011

Most nations around the world have expressed significant concern in the climate change due to a rapid increase in green-house gases and thus reach an international agreement to control total amount of these gases for the mitigation of global warming. As the most important absorber of carbon dioxide, one of major green-house gases, forest resources should be more tightly managed with a means to measure their total amount, forest biomass, efficiently and accurately. Forest biomass has close relations with forest areas and tree height. Airborne LiDAR data helps extract biophysical properties on forest resources such as tree height more efficiently by providing detailed spatial information about the wide-range ground surface. Many researchers have thus developed various methods to estimate tree height using LiDAR data, which retain different performance and characteristics depending on forest environment and data characteristics. In this study, we attempted to investigate such various techniques to estimate tree height, elaborate their advantages and limitations, and suggest future research directions. We first examined the characteristics of LiDAR data applied to forest studies and then analyzed methods on filtering, a precedent procedure for tree height estimation. Regarding the methods for tree height estimation, we classified them into two categories: individual tree-based and regression-based method and described the representative methods under each category with a summary of their analysis results. Finally, we reviewed techniques regarding data fusion between LiDAR and other remote sensing data for future work.

• 한국방재학회:학술대회논문집
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• 2008.02a
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• pp.101-104
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• 2008

In this study, rainfall adjust and forecasting using artificial neural network(ANN) which includes a correlation coefficient is application in Seoul region. It analyzed one-hour rainfall data which has been reported in 25 region in seoul during from 2000 to 2006 at rainfall observatory by AWS. The ANN learning algorithm apply for input data that each region using cross-correlation will use the highest correlation coefficient region. In addition, rainfall adjust analyzed the minimum error based on correlation coefficient and determination coefficient related to the input region. ANN model used back-propagation algorithm for learning algorithm. In case of the back-propagation algorithm, many attempts and efforts are required to find the optimum neural network structure as applied model. This is calculated similar to the observed rainfall that the correlation coefficient was 0.98 in missing rainfall adjust at 10 region. As a result, ANN model has been for suitable for rainfall adjust. It is considered that the result will be more accurate when it includes climate data affecting rainfall.

• 한국방재학회:학술대회논문집
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• 2008.02a
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• pp.485-488
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• 2008

The structure supporting road sign is a road information facility for ensuring the safe transportation and smooth traffic. But, lots of road information facilities were damaged by the typhoon "Maemi" in 2003. Such damaged facilities should be rehabilitated and could increase economic loss by causing traffic accident. Therefore, in this study, behavior that reduce wind load and improve wind resistance of the structure supporting road sign are studied about wind load beyond design specification by abnormal climate as below. The first is wind load reducing technique such that shear key resist wind load that is not greater than design wind speed but in case that it is over the design wind limit, column member is rotated on the inner steel pipe axis by the brittle failure of shear key. The second is the technique such that fail-safe the overturning of road sign panel by equipment installation in the vertical member. The third is the technique of installing stiffening plate inside the vertical member to relieve stress concentration.

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.158-158
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• 2019

Recent studies show the possibility of more frequent extreme events as a result of the changing climate. These weather extremes, such as excessive rainfall, result to debris flow, river overflow and urban flooding, which post a substantial threat to the community. Therefore, an effective flood model is a crucial tool in flood disaster mitigation. In recent years, a number of flood models has been established; however, the major challenge in developing effective and accurate inundation models is the inconvenience of running multiple models for separate conditions. Among the solutions in recent researches is the development of the combined 1D-2D flood modeling. The coupled 1D-2D river flood modeling allows channel flows to be represented in 1D and the overbank flow to be modeled over two-dimension. To test the efficiency of this approach, this research aims to assess the capability of HEC-RAS model's implementation of the combined 1D-2D hydraulic simulation of river overflow inundation, and compare with the results of GERIS and FLUMENS 2D flood model. Results show similar output to the flood models that had used different methods. This proves the applicability of the HEC-RAS 1D-2D coupling method as a powerful tool in simulating accurate inundation for flood events.

• Geophysics and Geophysical Exploration
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• v.19 no.4
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• pp.236-248
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• 2016

In this review, the basic concepts of geodetic coordinate system and map projection are explained to practitioners in exploration geophysicists to enhance the understanding of geographic and projected coordinate system. The fundamental elements such as earth ellipsoid, geoid, geocentric and geodetic latitudes, rhumb line, and great circle are dealt with in detail. The geocentric and geodetic coordinate systems are also summarized neatly, together with coordinate conversion formulae. In addition, the concept and technique for datum transforms between local and world datum are presented, with special emphasis on Korean Geodetic System.