A Study on the GIS for The Sea Environmental Management II (- Developing a Line Density Algorithm for The Quantification to the Sea Surface Temperature Distribution - )

GIS을 활용한 해양환경관리에 관한 연구 II (해수면 수온분포의 정량화를 위한 선 밀도 알고리즘 개발)

  • 이형민 ((주)그린텍환경컨설팅) ;
  • 박기학 (한국방송통신대학교 환경보건학과)
  • Published : 2006.12.30

Abstract

A Line Density algorithm was developed to quantify the sea surface temperature distribution using NOAA Sea Surface Temperature(SST) data and Geographic Information Systems(GIS), In addition, a GIS based automation model was designed to extract the Line Density Indices were determined by applying K-means Cluster. SST data in terms of March to May obtained on the coastal area of the Uljin from 2001 to 2004 in spring were used to make two data sets of average sea water temperature map in terms of year as well as month. From the result it was formed that water temperature gradient in April was the strongest among the other months, In particular very strog formation of oceanic front as well as temperature gradients were observed in front of the coastal area around Wonduk and Jukbyeon countries. Because those coastal area is a confront zone of two cold and a warm. It is expected that the development of a Line Density Algorithm would contribute to quantify of the SST for the research of Sea Surface Front(SSF) related to marine life management and the sea environmental conservation.

Keywords

References

  1. 김계현, GIS개론, 대영사, 1999
  2. 김영섭, 서애숙, 조명희, 원격탐사개론, 동화기술, 1998
  3. 이형민, 박기학, 2006, GIS을 활용한 해양환경관리에 관한 연구 I ( LDI 알고리즘 적용을 위한 보간법에 관한 연구), 환경영향평가학회지,제15권6호, 443-452, 2006
  4. 윤홍주, 김상우, 황화정, 수산.해양 정보화를 위한 RS 및 GIS 기술의 활용', 한국해양정보통신학회논문지, 7권 5호, 1068-1075, 2003
  5. 최종근, 공간정보 모델링, 구미서관, 2002
  6. 최현용, 이상호, 오임상, 황해 중부 연안 수온전선역의 정량적 해석, 한국해양학회지 바다 3권 1호, 1-8, 1998
  7. 허영만, 최영찬, 제주도 서남방 동중국 해역에서 하계 해양전선 형성과 수질특성, 한국해양환경공학회지 7권 2호, 64-69, 2004
  8. Anselin, L. and Getis, A., Spatial statistical analysis and geographical information system, The Annals of Regional Science 26, 19-33, 1992 https://doi.org/10.1007/BF01581478
  9. Bailey, T. C., A review of statistical spatial analysis In geographical information systems. (Eds) Spatial Analysis GIS. Stewart Forheringham and Peter Rogerson. Taylor & Francis, 1994
  10. Burrough, P. A & Mcdonnell, R. A., Principles of Geographical Information Systems, Chapter 5:Creating continuous surfaces from point data, Oxford Press, 1998
  11. Dean J. Wright., Undersea with GIS, ESRI Press, 2002
  12. EPA., Environmental Protection Agency. Geographic Imformation Systems Tools., Available from http://www.epa.gov/epahome/gis.htm, 2006
  13. Gong, Y. and S. J Son., A study of oceamc thermal fronts In the southwestern Japan Sea, Bull. Nat'l. Fish. Res. Dev. Agency, 28, 25-54(in Korean), 1982
  14. Goodchild, M.F., Haining, R.P. and Wise, S.M., Integrating GIS and Spatial Data Analysis : problems and possibilities', Int. J. Geographical Information System, 6(5), 407-423, 1992 https://doi.org/10.1080/02693799208901923
  15. McClain, E. P., W. G. Pichel, and C. C. Walton, Comparative performance of AVHRR-based multichannel sea surface temperature, J. Geophys. Res., 90, 11587-11601, 1985 https://doi.org/10.1029/JC090iC06p11587
  16. Yang Y. J., Fronts and fishing conditions observed in the South-West Sea of Korea and the Northern sea area of East China Sea, M.S. Thesis, Cheju National Univ., 66, 1998