Journal of the Korean Society of Marine Environment & Safety (해양환경안전학회지)

The Korean Society of Marine Environment and safety (해양환경안전학회)
권호 표지
DOI QR코드

DOI QR Code

Fluctuation Characteristics of Seawater Temperature Identified by Time Series Analysis Off the Southern Coast of Korea

한국 남해안에서 시계열 분석을 통한 수온 변동 특성

  • Jang, Chan-Il (Interdisciplinary Program of Ocean Industrial Engineering, Pukyong National University) ;
  • Kim, Dong-Sun (Department of Ecological Engineering, Pukyong National University)
  • 장찬일 (부경대학교 해양산업공학(협)) ;
  • 김동선 (부경대학교 생태공학과)
  • Received : 2017.11.29
  • Accepted : 2017.12.28
  • Published : 2017.12.31
Download PDF
⟨ Previous Next ⟩

Abstract

In order to understand the fluctuation characteristics of water temperature in August, water temperature, tide level, air temperature and wind data were analyzed using a power spectrum and coherence analysis for a region off the southern coast of Korea. Spectrum analysis showed that the water temperature and tide level in Wando, Goheung, Yeosu, Tongyeong and Masan have peaks over a semi-diurnal period. Coherence showed that water temperature was affected by tide in Wando, Goheung, Yeosu and Tongyeong where tidal range is relatively high. In Masan and Busan, where tidal range is relatively low, however, the tide did not affect water temperature significantly. In particular, wind was the most important factor in relation to water temperature in Masan. Time lags were calculated from phase. In Wando, water temperature decreased 1.5 hrs after a flood tide began. Water temperature decreased 0.3 hrs after a flood tide began in Goheung and Tongyeong. In Masan, water temperature increased 3 hrs after a south wind began. Water temperature in Yeosu was affected by tide, but air temperature, tide and wind in Busan affected water temperature very little.

한국 남해안에서 8월 수온의 변동 특성을 파악하기 위해, 수온, 조위, 및 기상자료(바람 기온)를 power spectrum과 coherence 분석하였다. Power spectrum 결과, 수온과 조위는 부산을 제외한 완도, 고흥, 여수, 통영, 마산 등 5개 지역에서 약 12hr과 24hr 주기에서 peak를 보였다. 또한 coherence 분석 결과에 의한 수온변동은 완도, 고흥, 여수 및 통영에서 조석의 영향을 가장 많이 받았다. 그러나 연구해역의 동쪽에 위치한 마산과 부산의 수온변동은 조차가 큰 서쪽해역에 비해 조석의 영향이 작았다. 특히, 마산의 수온변동은 바람의 환경요인에 가장 큰 영향을 받는 것으로 나타났다. 수온은 창조시 하강하고 낙조시 상승하는 형태를 보이고 있다. 즉 완도에서 수온의 하강(상승)은 창조(낙조) 약 1.5hr 후, 고흥과 통영에서 수온의 하강(상승)은 창조(낙조) 0.3hr 후에 나타났다. 그러나 마산에서의 수온 상승은 남풍이 시작되고 약 3hr 후에 나타났다. 한편 한국 남해안의 동쪽에 위치한 부산의 수온변동은 기온, 조석 및 바람의 영향을 작게 받는 것으로 나타났다.

Keywords

References

  1. Barton, B. A. and G. K. Iwama(1991), Physiological changes in fish from stress in aquaculture with emphasis on the response and effects of corticosteroids, Anuual Rev. Fish Diseases, pp. 3-26.
  2. Cho, H. Y. and B. J. Koo(2008), Water Temperature and Salinity Variation Analysis in the Inter-Tidal Zone, South of Ganghwado, Korea, J. Korean Society of Coastal and Ocean Engineers, Vol. 20, No. 3, pp. 310-320.
  3. Choi, H. S., J. I. Myoung, M. A. Park and M. Y. Choi(2009), A Study on the summer mortality of Korean rockfish Sebastes schlegeli in Korea, J. Fish Pathol., 22(2), pp. 155-162.
  4. Choo, H. S., G. H. Lee and Y. H. Yoon(1997), Variations of Temperature and Salinity in Kugum Suro Channel, J. Korean Fish. Soc., 30(2), pp. 252-263.
  5. Emery, W. J. and R. E. Thomson(1998), Data Analysis Methods in Physical Oceanography, Pergamon Press, pp. 468-487.
  6. Kim, C. W., E. O. Kim, H. D. Jeong, C. G. Jung, M. W. Park and S. G. Son(2009), Variation of Body Composition and Survival Rate According to Spawning of Pacific Oyster, (Crassostrea gigas) in Gamak Bay, Kor. J. Fish Aquat. Sci., 42(5), pp. 481-486. https://doi.org/10.5657/kfas.2009.42.5.481
  7. Kim, H. G., P. Y. Lee, S. G. Lee, Y. C. Cho and H. G. Choi(2000), Handbook on Oceanography, Marine Environment and Harmful Algal Blooms, National Fisheries Research & Development Institute, pp. 11-12.
  8. Kim, T. H., M. H. Yang, M. K. Choe, S. J. Han and I. K. Yeo(2005), Physiological Studies on Acute Water-temperature Stress of Juvenile Abalone, Haliotis discus hannai, J. Aquaculture, Vol. 18(1), pp. 7-12.
  9. Miita, T. and Y. Ogawa(1984), Tsushima currents measured with current meters and drifters, Elsevier Oceanography Series, Vol. 39, pp 67-76.
  10. MOF(2016), Ministry of oceans and fisheries, http://www.fips.go.kr/jsp/sf/ss/ss_fishery_kind_list.jsp?menuDepth=070103, 2007-2016.
  11. Na, G. H., C. S. Lee and W. J. Choi(1991), The Effect of Dissolved Oxygen on the Estival Mass Mortality of sea quirt, Halocynthia roretzi (Drasche), Bull. Korean Fish. Soc., 42(1), pp. 52-58.
  12. Peck, M. A., L. J. Buckley and D. A. Bengtson(2005), Effects of temperature, body size and feeding on rates of metabolism in young-of-the-year haddock, J. Fish Biology, 66, pp. 911-923. https://doi.org/10.1111/j.0022-1112.2005.00633.x
  13. Vinay, K. I. and G. P. John(1999), Digital signal processing using MATLAB. Thomson-Engineering, pp. 139-190.