• 한국환경과학회지
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• 제19권12호
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• pp.1361-1374
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• 2010

The impact of urbanization on local meteorology (e.g., surface temperature, PBL height, wind speed, etc.) in the Greater Seoul Area (GSA) was quantitatively evaluated based on a numerical modeling approach during a 1-month period of 2001 (9 Sep. through 8 Oct. 2001). The analysis was carried out by two sets of simulation scenarios: (1) with the global land use and topographic data from the U.S. Geological Survey (USGS) in 1990s (i.e., LU-USGS case) and (2) with the land use data from the Environmental Geographic Information System (EGIS) along with the 3 sec elevation data from the Shuttle Radar Topography Mission (SRTM) in 2000s (i.e., LU-EGIS case). The extension of urban areas in the GSA (especially, the southern parts of Seoul) accounted for 1.8% in the LU-USGS case and 6.2% in the LU-EGIS case. For the simulations, the surface temperature and PBL height due to urbanization in the LU-EGIS case was higher (the differences of up to $0.1^{\circ}C$ and 36 m, respectively) than those in the LU-USGS case, whereas the wind speed (up to 0.3 $ms^{-1}$) in the former was lower than that in the latter at 1500 LST. The increase in surface temperature due to urbanization in the GSA (especially, the southern parts of Seoul) was led to the strong convergence of air masses, causing the early sea breeze and its rapid propagation to inland locations. In addition, the vertical mixing motion in the extended urban areas for the LU-EGIS case was predicted to be stronger than that for the LU-USGS case and vice versa for the original urban areas.

• 한국환경과학회지
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• 제23권11호
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• pp.1919-1927
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• 2014

In order to decide the location of appropriate onshore wind farm with higher potential wind energy, several decision processes using Geographic Information System (GIS) including Digital Elevation Map (DEM) were proposed and we also estimated the wind resources through the proposed decision process. Decision process consists with three steps. First step is excluding inappropriate location geographically using DEM data including SRTM (Shuttle Radar Topography Mission) terrain data, landslide, land-use, roadway, and forest road data. And the second step of decision process is consideration of the difficulty caused by the natural environmental problem. This step is carried out using ECVAM (Environmental Conservation Value Assessment Map) data. And final step is determination of the most suitable location through the Moving Suitability Identification Method (MSIM) based on the moving potentially estimated wind resources area. Proposed decision process was applied over the Korean Peninsula. Wind resource potential estimated by the first and the second step is cases shows 35.09 GW and 7.17 GW, respectively, and the total evaluated energy from the all proposed step were 0.43 GW and 1.87 GW for the 3 km and 1.5 km geographical grid size, respectively.

• 한국환경복원기술학회지
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• 제18권4호
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• pp.15-27
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• 2015

The objectives of this study are to analyze the quantitative ecological principal components of Korean Peninsula using the multivariate spatial environmental datasets and to compare the ecological difference between South and North Korea. Ecological maps with GIS(Geographical Information System) are constructed by PCA(Principal Component Analysis) based on seventeen raster(cell based) variables at 1km resolution. Ecological differences between South and North Korea are extracted by Factor Analysis using ecosystem maps masked from Korean ones. Spatial data include SRTM(Shuttle Radar Topography Mission), Temperature, Precipitation, SWC(Soil Water Content), fPAR(Fraction of Photosynthetically Active Radiation) representing for a productivity, and SR(Solar Radiation), which all cover Korean peninsula. When it performed PCA, the first three scores were assigned to red, green, and blue color. This color triplet indicates the relative mixture of the seventeen environmental conditions inside each ecological region. The first red one represents for 'physiographic conditions' worked by high elevation and solar radiation and low temperature. The second green one stands for 'seasonality' caused by seasonal variations of temperature, precipitation, and productivity. The third blue one means 'wetness condition' worked by high value such as precipitation and soil water contents. FA extraction shows that South Korea has relatively warm and humid ecosystem affected by high temperature, precipitation, and soil water contents whereas North Korea has relatively cold and dry ecosystem due to the high elevation, low temperature and precipitation. Results would be useful at environmental planning on inaccessible land of North Korea.

• 대한공간정보학회지
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• 제23권1호
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• pp.89-99
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• 2015

최근 국내 도시개발 업계의 제3세계 개발도상국가 도시계획용역 및 도시개발사업 참여기회가 크게 증대하는 추세이며, 이는 국내 개발여건 침체국면 타개를 위한 유효 대안으로서 크게 기대되고 있다. 그러나 대부분 개발타당성 검토과정에서부터 당면하는 애로사항 중 하나가 당해 개발도상국의 기초통계자료 및 공간정보 부재라 하겠다. 국가지리정보나 수치지도 등의 구축은 개도국 차원에서 단기간 내 완성하기는 어렵기 때문에 따라서 개발참여를 위한 기초조사, 분석 및 기본계획 단계에서부터 큰 리스크를 감수할 수밖에 없는 것이 현실이다. 본 연구는 이러한 맥락에서 아프리카 북단에 위치한 알제리의 밥 에주아흐 지역을 대상으로 대체적 방법을 통해 지역현황 분석 및 기본계획 작성에 필요한 개략적인 지역 베이스맵 준비과정을 시연해 봄으로써 자료한계 문제를 극복하기 위한 대안을 제시해 보고자 한다. 이를 위해, 온라인에서 획득 가능한 맵타일로부터 모자이크 맵을 구축하고 위성사진을 기반으로 건축물 특성자료를 구축하며, 수치입력 방법으로 도로 네트워크를 구축하는 등 일련의 기술적 과정을 예시해 보고자 한다. 또한 이렇게 구축된 베이스맵에 근거해 기초적 마스터플랜 개념도를 예시해 봄으로써 그 응용 가능성을 예시해 보고자 한다.