• 제목/요약/키워드: $Green-Zone^{(TM)}$

검색결과 6건 처리시간 0.023초

천연물을 이용한 살균 및 살바이러스 효과에 관한 연구 (A Study of Antimicrobial & Antiviral Effect of Natural Product)

  • 라정찬;이종은;송대섭;권남훈;박봉균;박용호
    • 한국식품위생안전성학회지
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    • 제18권4호
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    • pp.183-188
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    • 2003
  • 식중독 원인균인 S. aureus, E. coli O157:H7, S. typhimurium, S. enteritidis, L. monocytogenes, 장티프스 원인균 S. typhi, 패혈증 원인균 V. parahaemolyticus, 세균성 이질 원인균 S. sonnei를 $20^{\circ}C$에서 30분간 $그리존^{TM}$과 접촉시킨 결과 최소 3배 희석액부터 최대 24배 희석액에서 최대 24배 희석액에서 균에 대한 살멸 효과를 나타내었다. $그리존^{TM}$ 3배 희석액을 이용하여 30초, 1분, 5분간 균과 접촉시킨 결과 S. aureus만 제외하고 모두 30초에 100% 살멸하는 효과를 나타내었다. $그리존^{TM}$을 이용하여 사스의 원인체와 동일한 바이러스인 코로나 바이러스에 대한 살바이러스 효과를 본 결과 제품의ㅣ 5배 희석액까지 유효간 살바이러스 효과를 보였다. 사람과 접촉이 많은 애완견 바이러스인 파보바이러스 (CPV), 디스템퍼바이러스 (CDV)에 대하여 시험한 결과 유기물과 경수 등의 악조건에서도 바이러스를 살멸하는 효과를 나타내었다. $그리존^{TM}$을 이용한 회와 냉장육 등에서의 적용 시험결과 미생물 생육이 현저히 저해됨을 알 수 있었다. 체소내의 미생물에 대한 살멸효과 시험에서도 미생물의 수가 현저하게 감소하였고, 특히 대장균의 수가 현저하게 감소하였다. $그리존^{TM}$은 세균, 바이러스의 살멸에 탁원한 효과를 보이며, 음식물에 직접 처리할 시에도 그 안전성과 효능이 입증되었다.

Urban Growth of Chuncheon City Observed by Landsat Satellite Images

  • Ahn, Young-Jin;Lee, Hoon-Yol
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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    • pp.411-414
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    • 2005
  • In this study, 8 Landsat(TM/ETM+) satellite images acquired from 1984 to 2002 were used to investigate the growth of Chuncheon city, Kangwon-do, Korea. The images were geocoded and classified using training set collected from field survey. Four land-use types were classified such as urban area, green zone, agricultural land and water body. It also showed rapid increase of urban area in the past two decades from 1166ha in 1984 to 3358ha in 2002. About 2182ha of agricultural land and green zone have been changed to urban area. Agricultural land was newly formed from the green zone.

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The extraction method for the best vegetation distribution zone using satellite images in urban area

  • Jo, Myung-Hee;Kim, Sung-Jae;Lee, Kwang-Jae
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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    • pp.908-910
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    • 2003
  • In this paper the extraction method for the best suitable green vegetation area in urban area, Daegu, Korea, was developed using satellite images (1994, 1999, Landsat TM). For this, the GIS overlay analysis of GVI (Green Vegetation Index), SBI (Soil Brightness index), NWI (None-Such wetness Index) was performed to estimate the best suitable green vegetation area. Also, the statistical documents, algorithm and Tasseled-Cap index were used to recognize the change of land cover such as cultivation area, urban area, and damaged area. Through the result of this study, it is possible to monitor the large sized reclamation of land by drainage or damaged area by forest fires. Moreover, information with the change of green vegetation and the status of cultivation by GVI, but also moisture content by percentage by NWI and surface class by SBI can be obtained.

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신도시 개발이 도시열섬 형성에 미치는 영향 - 분당신도시와 판교지역을 중심으로 - (Influence of New Town Development on the Urban Heat Islands - ln the Case of Pan-Gyo Area and Bun-Dang New Town -)

  • 송영배
    • 한국조경학회지
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    • 제30권4호
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    • pp.37-46
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    • 2002
  • The main purpose of this research is to discuss the urban heat island which will be caused by urbanization, especially by the construction of new town on a wide green zone. Over the last ten years, five new towns have been developed around the Seoul metropolitan area. However these new towns become bedroom communities and create traffic problems between Seoul and its surrounding areas because of an increase in population and a lack of roads and other infrastructures. The construction of another such new town is under consideration in the Pan-gyo area. But it is important that Pan-gyo remains a wide green zone. Many studies show that green space can play an important role in improving urban eco-meteorological, ameliorative capability and air hygiene. The objective of this study is to analyze the urban heat islands of Bund-Dang Si which was constructed in 1996 and of the Pan-Gyo area planned as new town. To investigate the local thermal environment and its negative effects caused by change of the land use type and urbanization we used LANDSAT TM images for extraction of urban surface temperature according to change of land use over 15 years. These data were analyzed together with digital land use and topographic data. As a study result, we found that the thermal island of this area from 1985 to 1999 rapidly increased with a difference of mean temperature of more than 12'E. Before construction of Bun-Dang Si the temperature of this area was the same as the forest, but during the new town construction in 1991, an urban heat island developed. The temperature of forest with a size of over 50% of the investigation area was lowest, which leads us to conclude that the forest cools the urban and its surroundings. The mean temperature of the residential and commercial area is more than +4.5$^{\circ}C$ higher then forest, so this method of land use is the main factor increasing the urban heat island. Urban heat islands and green space play an important role in urban wind systems, i.e. Thermal Induced Air Exchange and Structural Wind Circulation, because of their special properties with regard to energy balance between constructed urban and land. The skill to allocate land use types in urban areas is a very important planning device to reduce air pollution and induce the fresh cold air from green space. An urban climatic experiment featuring a numerical wind simulation study to show the air corridor will be published in a following research paper.

LiDAR를 활용한 국토환경성평가지도 산림부문 신규 평가항목의 도입 가능성 평가 (Introduction of the New Evaluation Criteria in the Forest Sector of Environmental Conservation Value Map Using LiDAR)

  • 전성우;홍현정;이종수;이우균;성현찬
    • 한국환경복원기술학회지
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    • 제10권5호
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    • pp.20-30
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    • 2007
  • Environmental Conservation Value Assessment Map (ECVAM) is the class map to divide the national land into conservation areas and development areas based on legal and ecological assessment criteria. It contributes to enhancements of the efficiency and the scientificity when framing a policy in various fields including the environment. However, it is impossible to understand the multiphase vegetation structure as data on judging the national forest class in ECVAM are restricted to areal information of Ecological Nature Status, Degree of Green Naturality and Forest Map. This point drops the reliability of ECVAM. Therefore we constructed vegetation information using LiDAR (Light Detection And Raging) technology. We generated Biomass Class Maps as final results of this study, to introduce the new forest assessment criterion in ECVAM that alternates or makes up for existing forest assessment criteria. And then, we compared these with Forest Map and Landsat TM NDVI image. As a result, biomass classes are generally higher than stand age classes and DBH classes of Vegetation Map, and lower than NDVI of Landsat TM image because of the difference of time on data construction. However distributions between these classes are mostly similar. Therefore we estimates that it is possible to apply the biomass item to the new forest assessment criterion of ECVAM. The introduction of the biomass in ECVAM makes it useful to detect the vegetation succession, to adjust the class of the changed zone since the production of Vegetation Map and to rectify the class error of Vegetation Map because variations on tree heights, forest area, gaps between trees, vegetation vitality and so on are acquired as interim findings in process of computing biomass.

선형분광혼합화소분석을 이용한 서부지역 DMZ의 토지피복 변화 탐지 (Land-Cover Change Detection of Western DMZ and Vicinity using Spectral Mixture Analysis of Landsat Imagery)

  • 김상욱
    • 한국지리정보학회지
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    • 제9권1호
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    • pp.158-167
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    • 2006
  • 본 연구는 DMZ 및 민통선지역의 토지피복 변화양상을 생태학적 측면에서 파악해보는데 목적을 두고 있다. 한반도 허리를 가르는 대상형 지역인 DMZ에 대하여 남북간 왕래가 잦은 서부지역에 대하여 토지피복특성을 파악해 보았는데, 비접근지역인 연구지역 특성상 본 연구에서는 위성영상자료를 활용하여 토지피복의 현황 및 변화특성을 파악해 보았다. '80년대 중반(Landsat TM, '87.05.20) 및 2000년대 초반의 영상(Landsat ETM+, '02.06.06)을 활용함으로써 최근 15년 동안 토지피복이 어떻게 변화했는지 파악하였으며, 생태적 가치가 큰 DMZ 지역의 토지피복 분류정확도를 높이기 위하여, 선형분광혼합화소분석(linear spectral mixture analysis : LSMA)을 이용하였다. 이 분석법은 하나의 화소를 단일한 지표물로 가정하여 영상을 처리하는 기존의 기법과 달리, 각 화소의 토지피복의 혼합정도를 세분화 한 후 대상지의 토지피복 특성을 가장 잘 반영하는 순수한 화소값 별로 분할영상(fraction image)을 생성하였는데, 본 연구에서는 식생, 토양, 수문의 3가지 화소에 대한 분할영상을 생성하였다. 분석결과 토지피복 가운데 산림지역의 면적이 가장 많은 감소를 가져왔는데, 남한지역의 경우 산림의 $39.04km^2$가, 북한지역은 $52.37km^2$가 다른 토지피복으로 변화되었다. 농경지의 경우 북한은 농경지 면적의 $56.15km^2$가 나대지로 변화되었는데, 이는 남한에 비하여 농경지 관리가 소홀하여 나대지 상태로 방치되고 있음을 알 수 있다. 공간적인 측면에서 볼 때, 민통선지역의 경우 전반적으로 토지피복의 변화가 나타나고 있으며, DMZ 내부의 경우도 장단반도 주변지역, 파주시 및 북한 판문군지역의 경우 그 변화가 민통선지역과 비슷한 양상을 보이고 있다.

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