• 한국지리정보학회지
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• 제9권3호
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• pp.58-66
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• 2006

환경 민감도 정보는 해양 유출유 사고시 효율적이고 신속한 방제 업무를 위한 유용한 정보이다. 유출유에 관련된 환경 민감도 정보의 종류가 다양하기 때문에 방제 현장에서 환경 민감도 정보에 대한 효율적인 접근과 활용 방안이 요구된다. 현장에서의 방제 업무 효율성을 높이기 위해서 환경 민감도 지도를 수치지도로 구축하고, GIS 기술을 이용한 전용 프로그램 개발이 필요하다. 본 연구에서는 경기만과 여수 지역을 대상으로 방제 업무 지원을 위한 환경 민감도 정보를 GIS 데이터베이스로 구축하고 GIS 프로그램을 개발하였다. 이를 위해 IMO/IPIECA의 환경 민감도 작성 지침과 해양경찰청의 방제 정보 지도 작성을 위한 정보 수집 지침에 따라 환경 민감도 정보를 수집하고, 환경 민감도 정보 표시 기호의 정의 및 업무 분석을 통한 방제 업무 지원 요소를 추출하였다. 향후 본 프로그램은 전 해역에 대한 환경 민감도 지도 전용 프로그램으로 활용될 수 있으며, 국가 차원의 해양 오염 방제 업무 지원 시스템 구축의 요소 기술로서의 가능성을 기대할 수 있다.

• 한국해양환경ㆍ에너지학회지
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• 제6권4호
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• pp.3-12
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• 2003

지속적인 산업화와 도시화에 따른 에너지 수요의 급증으로 인해 원유와 석유제품의 해양수송이 점점 증가하고 있다. 우리나라의 경우 국내의 유류 수요를 맞추기 위해서는 매일 30만톤급의 대형 유조선이 입항해야 하기 때문에 대형 유류오염 사고에 노출되어 있다 해양 유류오염사고의 가능성을 줄이기 위해 부단한 노력에도 불구하고 회복하기 어려운 유출 사고는 인간의 실수, 악천후 또는 복합적인 이유로 일어나게 된다. 따라서 적절한 대응시스템으로 지역방제계획을 세워 최악의 경우에 대비하고 해양환경과 연안자원을 보호해야만 한다. 특히 보호의 우선순위를 명확히 하고 현장 방제전략을 세움으로써 유출과 방제의 노력이 환경에 미치는 영향을 줄이기 요구되는 방제정보지도에 초점을 맞추었다. 본 논문에서는 기름에 대한 민감도의 정의와 개발한 소프트웨어의 주요특짚과 함께 방제정보지도를 간략히 소개한다.

• 대한원격탐사학회지
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• 제35권1호
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• pp.83-92
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• 2019

Land cover (LC) is an important factor in socioeconomic and environmental studies. According to various studies, a number of LC maps, including global land cover (GLC) datasets, are made using polar orbit satellite data. Due to the insufficiencies of reference datasets in Northeast Asia, several LC maps display discrepancies in that region. In this paper, we performed a feasibility assessment of LC mapping using Geostationary Ocean Color Imager (GOCI) data over Northeast Asia. To produce the LC map, the GOCI normalized difference vegetation index (NDVI) was used as an input dataset and a level-2 LC map of South Korea was used as a reference dataset to evaluate the LC map. In this paper, 7 LC types(urban, croplands, forest, grasslands, wetlands, barren, and water) were defined to reflect Northeast Asian LC. The LC map was produced via principal component analysis (PCA) with K-means clustering, and a sensitivity analysis was performed. The overall accuracy was calculated to be 77.94%. Furthermore, to assess the accuracy of the LC map not only in South Korea but also in Northeast Asia, 6 GLC datasets (IGBP, UMD, GLC2000, GlobCover2009, MCD12Q1, GlobeLand30) were used as comparison datasets. The accuracy scores for the 6 GLC datasets were calculated to be 59.41%, 56.82%, 60.97%, 51.71%, 70.24%, and 72.80%, respectively. Therefore, the first attempt to produce the LC map using geostationary satellite data is considered to be acceptable.

• 대한원격탐사학회지
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• 제36권1호
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• pp.67-81
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• 2020

The rapid climatic changes being caused by global warming are resulting in abnormal weather conditions worldwide, which in some regions have increased the frequency of landslides. This study was aimed to analyze and compare the landslide susceptibility using the Frequency Ratio (FR), Statistical Index, Weight of Evidence, Certainty Factor, and Index of Entropy (IoE) at Woomyeon Mountain in South Korea. Through the construction of a landslide inventory map, 164 landslide locations in total were found, of which 50 (30%) were reserved to validate the model after 114 (70%) had been chosen at random for model training. The sixteen landslide conditioning factors related to topography, hydrology, pedology, and forestry factors were considered. The results were evaluated and compared using relative operating characteristic curve and the statistical indexes. From the analysis, it was shown that the FR and IoE models were better than the other models. The FR model, with a prediction rate of 0.805, performed slightly better than the IoE model with a prediction rate of 0.798. These models had the same sensitivity values of 0.940. The IoE model gave a specific value of 0.329 and an accuracy value of 0.710, which outperforms the FR model which gave 0.276 and 0.680, respectively, to predict the spatial landslide in the study area. The generated landslide susceptibility maps can be useful for disaster and land use planning.

• 한국물환경학회지
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• 제37권5호
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• pp.369-380
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• 2021

In this work, we analyzed the effects of drought on the water temperature (WT) of Nakdong river basin major river sections using Standardized Precipitation Index (SPI) and WT data. The analysis was carried out on a seasonal basis. After calculating the optimal time scale of the SPI through the correlation between the SPI and WT data, we used the copula theory to model the joint probability distribution between the WT and SPI on the optimal time scale. During spring and fall, the possibility of environmental drought caused by high WT increased in most of the river sections. Notably, in summer, the possibility of environmental drought caused by high WT increased in all river sections. On the other hand, in winter, the possibility of environmental drought caused by low WT increased in most river sections. From the risk map, which quantified the sensitivity of WT to the risk of environmental drought, the river sections Nakbon C, Namgang E, and Nakbon K showed increased stress in the water ecosystem due to high WT when drought occurred in summer. When drought occurred in winter, an increased water ecosystem stress caused by falling WT was observed in the river sections Gilan A, Yongjeon A, Nakbon F, Hwanggang B, Nakbon I, Nakbon J, Nakbon K, Nakbon L, and Nakbon M. The methodology developed in this study will be used in the future to quantify the effects of drought on water quality as well as WT.