대한공간정보학회지 (Journal of Korean Society for Geospatial Information Science)

  • 제23권1호
  • /
  • Pages.65-71
  • /
  • 2015
  • /
  • 1598-2955(pISSN)
  • /
  • 2287-6693(eISSN)
대한공간정보학회 (Korea Spatial Information Society)
권호 표지
DOI QR코드

DOI QR Code

천리안 위성영상을 이용한 경상남도 남해안해역 적조이동 패턴 분석

Analysis of Red Tide Movement in the South Sea of Gyeongnam Province Using the GOCI Images of COMS

  • Kim, Dong Kyoo (Urban engineering, Gyeongsang National University) ;
  • Kim, Mi Song (BK21+, Urban engineering, Gyeongsang National University) ;
  • Yoo, Hwan Hee (BK21+, ERI, Urban engineering, Gyeongsang National University)
  • 투고 : 2015.02.12
  • 심사 : 2015.03.17
  • 발행 : 2015.03.31
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

여름철이 되면 매년 남해안에서 발생되고 있는 적조현상은 양식장을 운영하는 어민들에 막대한 피해를 주고 있으며 이를 방재하기 위한 노력이 다각도로 진행되고 있다. 특히 위성영상을 이용한 적조 모니터링은 발생해역 전반에 걸친 적조발생자료를 취득할 수 있어서 방재 계획수립에 중요한 정보를 제공하여 줄 수 있다. 따라서 본 연구에서는 천리안 GOCI영상을 이용하여 하루 중 적조의 확산과 감소를 모니터링할 수 있는 결과를 제시하기 위하여 경상남도 남해안 지역을 선정하고 2013년(8월 12일), 2014년(9월 11일) GOCI영상자료를 분석한 결과 다음과 같은 결론을 얻었다. 남해안 해역의 적조발생 패턴은 오전에 거제도 남부해역에서 출현하여 점점 더 확산되다가 오후 1시에 최대가 되고 그 후 서서히 감소되는 경향을 보여주었다. 또한 하루 중 적조의 중심 이동은 거제시 남부해역에서 적조가 시작하여 서쪽으로 이동하다가 정오를 기하여 다시 동쪽으로 이동하는 경향을 보여주었다. 향후 적조 생물의 특성과 해수유동, 태양 일조량, 그리고 해수온도 등 많은 요인에 대한 추가적인 연구가 필요하다고 판단되지만, GOCI 영상을 이용한 적조이동 모니터링은 적조의 확산과 이동을 예측하여 방재하고 관리하는데 매우 중요한 정보가 될 것으로 생각된다.

Red Tide phenomenon which happens in the southern coast of Korea gives massive damage to the fishermen who run fish farms and thereby a lot of efforts to prevent damage are made from various angles. In particular, red tide monitoring with satellite imagery can make it possible to obtain the occurrence data of red tide throughout the whole areas of the sea, which helps provide important information for establishing the preventive plans of disasters. In this regard, this study selected the South Sea of Gyeongnam Province with a view to suggesting the monitoring results with regard to the spread and reduction of the Red Tide in the middle of the day by using the GOCI Images of COMS. With this intention, it selected the region in the South Sea of Gyeongnam Province. The study results of analysis on the GOCI image data for the years of 2013(Aug. 12) and 2014 (Sep. 11) are as follows: the pattern of the Red Tide in the region of the South Sea occurred in the southern sea area of Geoje-do in the morning. It gradually spread and showed a gradual decline after reaching the top at 1 PM. In addition, in terms of the tide movement in the middle of the day, Red Tide began in the southern sea area and moved to the west, and moved to the east again at noon. It is judged that additional study on many factors such as the characteristics of the future Red-tide organisms, tidal currents, amount of sunshine, and water temperature is needed, but it is estimated that Red Tide movement monitoring with GOCI images would provide very crucial information for predicting the spread and movement of the Red Tide to protect and manage the Red Tide disasters.

키워드

참고문헌

  1. Hu, C., F. E. Muller-Karger, C. Taylor, K. L. Carder, C. Kelble, E. Johns and C. A. Heil, 2005, Red tide detection and tracing using modis fluorescence data, A regional example in SW Florida coastal waters Remote Sensing of Environment 97(2005), pp. 311-321. https://doi.org/10.1016/j.rse.2005.05.013
  2. Kim. Dong Kyoo, 2015, Analysis on spatial and temporal patterns of red tide occurrence area in the south sea of korea using coms images, Ph. D. thesis, Graduate School, Gyeongsang National University.
  3. Kim. Dong Kyoo, Yoo. Hwan Hee, 2014, Analysis of temporal and spatial red tide change in the south sea of korea using the goci images of coms, Journal of the Korean Society for Geospatial Information System, Vol. 22 No. 3 September, pp. 129-136. https://doi.org/10.7319/kogsis.2014.22.3.129
  4. Kim. Hack Kyun, 2005, Marine red tide, Dasom Press.
  5. Kim. Yong Min, Kim. Hyeong Tae, 2008, Study of red tide detection algorithm based on two step filtering, Korean Journal of Remote Sensing Vol. 24 No. 4, pp. 325-331.
  6. National Disaster Management Institute(NDMI), 2013, Survey of red tide damage in south sea of korea using the geostationary ocean color imager(GOCI).
  7. Son. Young Baek, J. Ishizaka, J.C Jeong, H.C. Kim, and T. Lee, 2011. Cochlodinium polykrikoides red tide detection in the South Sea of Korea using spectral classificatio of modis data, Ocean Science Journal, Vol. 46, No. 6, pp. 239-263. https://doi.org/10.1007/s12601-011-0019-6
  8. Son. Young Baek, Kang. Yoon Hyang, Ryu. Joo Hyung, 2012, Monitoring red tide in south sea of Korea using the geostationary ocean color imager(GOCI), Korean Journal of Remote Sensing, Vol. 28, No. 5, pp. 531-548. https://doi.org/10.7780/kjrs.2012.28.5.6
  9. Stumpf R. P. and Tyler. M. A., 1998, Satellite detection of bloom and pigment distributions in Estuaries, Remote Sensing of Environment, Vol. 24, No. 3, pp. 385-404. https://doi.org/10.1016/0034-4257(88)90014-4
  10. Suh. Young Sang, Kim. Jeong Hee, Kim. Hak Gyoon, 2000, Relationship between sea surface temperature derived from NOAA satellites and cochlodinium polykrikoides red tide occurrence in korean coastal waters, Journal of Korean Environmental Sciences Society, Vol. 9, No. 3, pp. 215-221.
  11. Yun. Hong Ju, Kim. Seung Cheol, Park. Il Heum, 2003, Characteristic of atmospheric phenomena and ocean environment for red tide occurrence of korean south sea, The journal of the Korea Institute of Maritime Information &Communication Sciences, Vol. 7, No. 4, pp. 845-852.