• Title/Summary/Keyword: 기름 유출 지수

Search Result 4, Processing Time 0.018 seconds

Oil Spill Monitoring in Norilsk, Russia Using Google Earth Engine and Sentinel-2 Data (Google Earth Engine과 Sentinel-2 위성자료를 이용한 러시아 노릴스크 지역의 기름 유출 모니터링)

  • Minju Kim;Chang-Uk Hyun
    • Korean Journal of Remote Sensing
    • /
    • v.39 no.3
    • /
    • pp.311-323
    • /
    • 2023
  • Oil spill accidents can cause various environmental issues, so it is important to quickly assess the extent and changes in the area and location of the spilled oil. In the case of oil spill detection using satellite imagery, it is possible to detect a wide range of oil spill areas by utilizing the information collected from various sensors equipped on the satellite. Previous studies have analyzed the reflectance of oil at specific wavelengths and have developed an oil spill index using bands within the specific wavelength ranges. When analyzing multiple images before and after an oil spill for monitoring purposes, a significant amount of time and computing resources are consumed due to the large volume of data. By utilizing Google Earth Engine, which allows for the analysis of large volumes of satellite imagery through a web browser, it is possible to efficiently detect oil spills. In this study, we evaluated the applicability of four types of oil spill indices in the area of various land cover using Sentinel-2 MultiSpectral Instrument data and the cloud-based Google Earth Engine platform. We assessed the separability of oil spill areas by comparing the index values for different land covers. The results of this study demonstrated the efficient utilization of Google Earth Engine in oil spill detection research and indicated that the use of oil spill index B ((B3+B4)/B2) and oil spill index C (R: B3/B2, G: (B3+B4)/B2, B: (B6+B7)/B5) can contribute to effective oil spill monitoring in other regions with complex land covers.

해운이슈 - 2007년도 외항해운업계를 달군 주요이슈 - BDI지수 1만포인트 돌파, 서해안 기름유출 사고 등 -

  • 한국선주협회
    • 해운
    • /
    • no.12 s.46
    • /
    • pp.11-19
    • /
    • 2007
  • 다사다난했던 정해년(丁亥年)은 이제 노을 속으로 사라지고 곧 무자년(戊子年) 새해를 맞는다. 2007년 한해도 여느 때와 마찬 가지로 나라 안팎에서 크고 작은 사건이 끊이지 않았으며, 특히 해운부문에서도 예외없이 크고 작은 이슈들로 인해 희비가 교차되기도 했다. 특히, 부정기건화물선시황이 폭등하여 발틱운임지수(BDI)가 사상 최초로 1만포인트를 넘어섰는가 하면, 한해를 마무리하는 마지막달인 12월에는 서해안에서 대규모 기름유출사고가 발생하여 모든 이들의 가슴을 졸이게 했다. 다음은 2007년도 외항해운업계의 주요이슈를 정리한 것이다.

  • PDF

Development of a Microwave Radiometer for Remote Sensing of Oil Spills on the Water Surface (수면 기름 유출 원격 탐사용 마이크로파 라디오미터의 개발)

  • Son, Hong-Min;Park, Jin-Woo
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
    • /
    • v.22 no.9
    • /
    • pp.858-867
    • /
    • 2011
  • In this paper, we propose a microwave radiometer for remote sensing of oil spills on the water surface. In order to achieve the development aim of the measurement accuracy within 0.2 mm for oil slicks of 0~4 mm thickness, the requirements of the microwave radiometer and the specifications of its receiver are drawn. From these requirements and specifications, the receiver with high gain, high sensitivity is designed and implemented. The receiver has the bandwidth of 58 MHz, the system gain of 47.3 dB and the sensitivity of 0.46 K at 10.65 GHz. The processes of design and implementation of the receiver are described in this paper. The effectiveness of the proposed microwave radiometer in the measurement of oil slicks is demonstrated experimentally. The results show the microwave radiometer can detect the oil slicks for 0~5 mm thickness within the accuracy of 0.13 mm successfully.

Assessment of the Impacts of 'Sea Prince' Oil Spill on the Rocky Intertidal Macrobenthos Community (암반조간대 대형저서동물군집에 대한 씨프린스호 유류 유출사고 영향 평가)

  • Shin, Hyun-Chool;Lee, Jung-Ho;Lim, Kyeong-Hun;Yoon, Seong-Myeoung;Koh, Chul-Hwan
    • Korean Journal of Environmental Biology
    • /
    • v.26 no.3
    • /
    • pp.159-169
    • /
    • 2008
  • This study was aimed to classify the intertidal macrozoobenthic community status after 2 years of Sea Prince oil spill, and oil spill effects along oil spreading track from heavily impacted to unaffected reference site. Field sampling was initiated in late February and continued through November 1998 seasonally, after 2.5 years of oil spill. 7 rocky sampling sites were selected among coastal regions coated and/or affected by the Sea Prince spilled oil. Identified species was 158 species, 65 family, 24 order, 9 class, 5 phylum. Mollusca was the dominant faunal group comprising 100 species (63.3%), and followed by 38 species of Crustacea (24.1%), 12 species of Echinodermata (7.6%), 5 species of Porifera (3.2%), and 3 species of Cnidaria (1.9%). On Dugpo of Sori Island, the fewest species was collected from 28 species to 35 species seasonally among sampling stations. But far away Dugpo toward Gamak Bay, the number of species increased, collecting the maximum on Sohwoenggan Island. At the wreck site of Sori Island, especially the species number of attached animals such as poriferans and anthozoans was very low compared to another site. The density and biomass on the higher tidal zone increased toward the low affected sites, but biomass on middle tidal zone decreased. The invertebrate biomass of study area was dependent on the sessile animals. The major dominant species were small-sized barnacles, Chthmallus challengeri, periwinkles, Littorina brevicula, mussels, Septifer virgatus, and so on. The biomass of C. challengeri and L. brevicula on the higher tidal zone was highest in the wreck site of Sori Island and decreased further and further. However, mussels on the middle tidal zone showed the inverse trends because of the larger individual size of mussel inhabited in Sori Island than those of another sites. As a result of community analysis, the effect of oil spill was not found distinctly. Several ecological indices and cluster analysis did not show the meaningful variation with oil track despite of the conspicuous differences among tidal heights. These indicate that the macrozoobenthic community level of oil spreaded zone recovered in some degree after the Sea Prince oil spill accident, but population or individual levels of dominant sessile animals took more recovery times.