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위성영상을 이용한 고리원자력발전소 온배수 확산의 계절변동
안지숙 ( Ji Suk Ahn ),김상우 ( Sang Woo Kim ),박명희 ( Myung Hee Park ),황재동 ( Jae Dong Hwang ),임진욱 ( Jin Wook Lim ) 한국지리정보학회 2014 한국지리정보학회지 Vol.17 No.4
지난 10년(2000-2010)간 촬영된 Landsat-7 ETM+ 영상을 이용하여 동해남부에 위치한 고리원자력발전소 주변해역의 해표면 온도와 온배수의 계절 변동을 조사하였다. 그리고 조류와 조석자료를 분석하여 온배수의 확산범위를 살펴보았다. 먼저 Landsat-7 ETM+ DN값과 NOAA AVHRR 해표면 수온을 이용한 1차 선형회귀분석을 통해 산출된 해표면 수온을 관측 수온과 비교·검증하였다. 그 결과 결정계수는 약 0.97 이상으로 높게 나타났으며, 평균제곱근 오차는 약 1.05∼1.24℃로 나타났다. 선형회귀분석식을 통해 산출된 Landsat-7 영상의 해표면 수온은 겨울철 12∼13℃, 봄철에는 13∼19℃, 여름과 가을철에는 24∼29℃, 16∼24℃의 분포를 나타내었다. 방류 초기 온배수와 주변 해역과의 해표면 온도 차는 여름철을 제외하고는 6∼8℃의 차이를 보였으며, 여름철 8월에는 최대 2℃정도 차이를 나타내었다. 온배수의 확산범위는 해표면 수온 1℃ 이상의 상승 범위는 동서로 최대 7.56km, 남북으로는 8.43km로 나타났다. 확산면적은 최대 11.65㎢로 나타났다. 본 연구의 결과는 원자력 발전소 주변지역의 해양환경 모니터링을 위한 기초자료로 활용할 수 있을 것이다. In this study, we investigated the seasonal variation of SST(Sea Surface Temperature) and thermal effluents estimated by using Landsat-7 ETM+ around the Kori Nuclear Power Plant for 10 years(2000∼2010). Also, we analyzed the direction and range of thermal effluents dispersion by the tidal current and tide. The results are as follows, First, we figured out the algorithm to estimate SST through the linear regression analysis of Landsat DN(Digital Number) and NOAA SST. And then, the SST was verified by compared with the in situ measurement and NOAA SST. The determination coefficient is 0.97 and root mean square error is 1.05∼1.24℃. Second, the SST distribution of Landsat-7 estimated by linear regression equation showed 12∼13℃ in winter, 13∼19℃ in spring, and 24∼29℃ and 16∼24℃ in summer and fall. The difference of between SST and thermal effluents temperature is 6∼8℃ except for the summer season. The difference of SST is up to 2℃ in August. There is hardly any dispersion of thermal effluents in August. When it comes to the spread range of thermal effluents, the rise range of more than 1℃ in the sea surface temperature showed up to 7.56km from east to west and 8.43km from north to south. The maximum spread area was 11.65㎢. It is expected that the findings of this study will be used as the foundational data for marine environment monitoring on the area around the nuclear power plant.
안지숙(Ji Suk Ahn),김해동(Hae Dong Kim) 계명대학교 낙동강환경원 2007 環境科學論集 Vol.12 No.1
This study is aimed at preparing and providing of data needed to relieve heat island, through analysis of a city thermal environment by observation weather data and satellite imagery. Also, with the aid of MODIS, we could estimate the increasing/decreasing trend of the land surface temperature of Daegu Metropolitan city, which depends on land-cover and on season. As a result of this analysis, it turned out that the LST of the Daegu urban area covered by artificial structures is higher than 25℃ even at midnight. This implies that there exists an effect by which the land surface heats the air at midnight, which in turn causes occasional tropical nights.
Landsat-7 ETM+ 영상과 AWS 자료를 이용한 부산의 토지피복에 따른 여름철 도시열섬포텐셜 산출
안지숙 ( Ji Suk Ahns ),황재동 ( Jae Dong Hwang ),박명희 ( Myung Hee Park ),서영상 ( Young Sang Suh ) 한국지리정보학회 2012 한국지리정보학회지 Vol.15 No.4
본 연구에서는 부산의 지난 25년간 장기적 토지피복변화를 조사하고, 이어서 지표면 온도와 기온자료를 이용해서 열섬포텐셜을 평가하였다. 그 결과는 다음과 같다. 1975년부터 2000년까지 지난 25년 동안 부산의 도시면적은 2.5배 이상 증가하였다. 이처럼 단기간에 도시의 포장면적이 빠르게 증가한 것은 다른 나라에서는 유례를 찾아보기 어려운 우리나라 독특한 현상으로 판단된다. 이러한 과정을 통해서 도시열섬현상이 심화되었을 것이라는 것을 추정할 수 있었다. 지표면 피복에 따른 지표면 온도를 분석한 결과 도시화 지역과 산림지역의 온도가 현저히 차이가 나타났다. 특히 여름철에는 공단지역에서 36∼39℃로 높게 나타났으며, 반면 도시의 중심에 산지가 위치한 지역에서는 22∼24℃로 낮은 지표면 온도를 나타내었다. 토지피복도에 따른 열섬포텐셜은 지표면 피복 상태에 따라서 그 값이 달라짐을 알 수 있었다. 도시화지역 중 공업지역의 열섬포텐셜은 6∼8℃, 주거지역과 상업지역은 0∼5℃로 도시열섬을 유발할 가능성이 높음을 확인할 수 있었다. 반면 산림지역이나 농업지역 수변지역 열섬포텐셜 값은 -6∼-3℃로 나타났다. 본 연구결과를 통해 도시의 토지이용에 따른 기온상승효과를 평가하여 도시의 열환경 개선 및 환경친화적 도시개발 계획에 기초자료로 활용될 수 있을 것이다. This study examined changes in land cover for the past 25 years in Busan and subsequently evaluated heat island potential by using land surface temperature and observation temperature data. The results were as below. The urban area of Busan increased by more than 2.5 times for the past 25 years from 1975 to 2000. It was believed that an increase in the pavement area of city within such a short period of time was an unprecedented phenomenon unique to our country. It could be assumed that urban heat island would be worsened through this process. After analyzing the land temperature according to the land cover, it was shown that there were noticeable changes in the temperature of urban & built-up and mountain & forest areas. In particular, the temperature rose to 36∼39℃ in industrial areas during the summer, whereas it went down to 22∼24℃ in the urban areas at whose center there were mountains. It was found that heat island potential according to the level of land cover had various values depending on the conditions of land cover. Among the areas of urbanization, the industrial area`s heat island potential is 6 to 8℃, and the residential and commercial area`s is 0~5℃, so it has been found that there is high possibility to induce urban heat islands. Meanwhile, in the forest or agricultural area or the waterside, the heat island potential is -6~-3℃. With this study result, it is possible to evaluate the effects of temperature increase according to the urban land use, and it can be used as foundational data to improve urban thermal environment and plan eco-friendly urban development.
Landsat-7 ETM+ 영상을 이용한 온배수 확산 분석
안지숙(Ji Suk Ahn),김해동(Hae Dong Kim) 계명대학교 낙동강환경원 2011 環境科學論集 Vol.15 No.1
Adding to temperature increase of natural sea water caused by the global warming, thermal effluent from nuclear power plant disturbs ecosystem in the surrounding sea area. In this study, we investigated the temporal and spatial change of thermal effluent distribution using Landsat-7 ETM+satellite image and tidal height Data. Satellite-induced SST was verified by compared with the in situ measurements. the correlation coefficient resulted in above 0.95 and RMSE was about 1.7 ℃ in all data. Using 30 Landsat-7 ETM+ images and tide from 2000 to 2007, sea surface temperature for each season and distribution and expansion of thermal effluent were analyzed. In winter, there was difference of 1∼7 ℃ between natural sea water and thermal effluent; in the spring and autumn, 1∼5 ℃; in the summer, 1∼2 ℃. The lower the sea surface temperature was, there was larger difference in temperature. For expansion of thermal effluent, in the ebb tide, thermal effluent is characterized by straightly spreading towards north and east direction and then going out into the open sea. In the flood tide, the thermal effluent expanded along with south coast. In the winter, spring, and autumn, clear form of expansion according to tide appeared. In the summer, there was no clear expansion compared to other seasons.
MODIS 영상을 이용한 지표면 온도 산출 알고리즘 비교
안지숙(Ji Suk Ahn),김해동(Hae Dong Kim) 계명대학교 낙동강환경원 2007 環境科學論集 Vol.12 No.1
In tills study, four different split-window algorithms were selected among the numerous algorithms. And Land surface temperature were derived using four different split window algorithms from Earth Observing System(EOS) Moderate Resolution Imaging Spectroradiometer(MODIS) data. This study is aimed at preparing and providing of data needed to relieve heat island, through analysis of a city thermal environment by observation weather data and satellite imagery. We have used MODIS satellite imagery in each algorithm to analyze the land surface temperature and calculated the temperature by an algorithm from the observed Land surface temperature and multiple regression model.