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Numerical Simulation of Water Level Change at the Coastal Area in the East Sea with the Inverted Barometer Effect

역기압 효과를 반영한 동해 연안 수위 변동 수치 재현

  • 현상권 ((주)아라종합기술) ;
  • 김성은 ((주)아라종합기술) ;
  • 진재율 (한국해양과학기술원 연안방재연구센터) ;
  • 도종대 (한국해양과학기술원 연안방재연구센터)
  • Received : 2015.10.20
  • Accepted : 2016.01.28
  • Published : 2016.02.29

Abstract

Sea water level variations are generally influenced by a variety of factors such as tides, meteorological forces, water temperature, salinity, wave, and topography, etc. Among non-tidal conditions, atmospheric pressure is one of the major factors causing water level changes. In the East Sea, due to small tidal range which is opposite to large tidal range of the Yellow Sea, it is difficult to predict water level changes using a numerical model, which consider tidal forcing only. This study focuses on the effects of atmospheric pressure variations on sea level predictions along the eastern coast of Korea. Telemac-2D model is simulated with the Inverted Barometer Effect(IBE), and then its results are analyzed. In comparison between observed data and predictions, the correlation of prediction with IBE and tide is better than that of tide-only case. Therefore, IBE is strongly suggested to be considered for the numerical simulations of sea level changes in the East Sea.

일반적으로 해수위 변동은 조석, 기상, 수온, 염분, 파랑, 지형 등 다양한 요인에 의해 영향을 받는다. 비조석 외력 조건 중 대기압 변화는 수위 변화를 유발하는 큰 요인 중 하나이다. 수위 변동을 예측함에 있어 서해와 달리 조차가 작은 동해 연안은 조석 성분만을 외력 조건으로 고려하여 관측 수위를 재현하기는 현실적으로 어렵다. 본 연구에서는 동해 연안의 수위 예측 및 재현 시 대기압의 시간적 변화가 수위의 변화에 미치는 영향을 검토하고자 Telemac-2D 모형에 역기압 효과(IBE, Inverted Barometer Effect)를 반영하여 수치 모의를 실시하고 그 결과를 검토하였다. 역기압 효과와 조석을 동시에 반영한 예측 결과는 조석만을 반영한 예측결과보다 관측 자료와의 상관도가 크게 증가함으로 동해 연안 관측 수위의 수치 재현에 역기압 효과가 반드시 반영되어야함을 확인하였다.

Keywords

References

  1. Asaro, G. and E. Paris (2000). The effects induced by a new embankment at the confluence between two rivers: Telemac results compared with a physical model. Hydrological Processes, 14, 2345-2353. https://doi.org/10.1002/1099-1085(200009)14:13<2345::AID-HYP33>3.0.CO;2-X
  2. Bell, C., J. M. Vassie and P. L. Woodworth (1999). POL/PSMSL Tidal Analysis Sofrware Kit 2000(Task-2000). Permanent Service for Mean Sea Level, CCMS Proudman Oceanographic Laboratory, Bidston Observatory, Birkenhead, Merseyside CH43 7RA, U. K., 20.
  3. Bowden, K. F. (1983). Physical Oceanography of Coastal Waters, Chichester, UK, Ellis Horwood, 302.
  4. Dorandeu, J and P. Y. Le Traon (1999). Effects of Global Mean Atmospheric Pressure Variations on Mean Sea Level Changes from TOPEX/Poseidon. J. Atmos. Oceanic Technol., 16, 1279-1283. https://doi.org/10.1175/1520-0426(1999)016<1279:EOGMAP>2.0.CO;2
  5. EDF-R&D (2014). TELEMAC modelling system. 2D hydrodynamics TELEMAC-2D Software Release 7.0 USER MANUAL.
  6. Han, H., Lee, J., and Lee, H. (2013). Accuracy Assessment of Tide Models in Terra Nova Bay, East Antarctica, for Glaciological Studies of DDInSAR Technique. Korean Journal of Remote Sensing, 20(4), 375-387(in Korean). https://doi.org/10.7780/kjrs.2013.29.4.3
  7. Hervouet, J.-M. (2000). A high resolution 2-D dam-break model using parallelization. Hydrological Processed, 14, 2211-2230. https://doi.org/10.1002/1099-1085(200009)14:13<2211::AID-HYP24>3.0.CO;2-8
  8. Hervouet, J.-M. (2007). Hydrodynamics of free surface modelling with the finite element method. Wiley
  9. Jung, S.-Y., Yun, J.-Y., Park, T., Lim. S.-H., and Oh, I.S. (2008). Sea Level Variability at a Synoptic Band along the East Coast of Korea and its Causal Mechanism. Journal of the Korean Society of Oceanography, 13(2), 89-105(in Korean).
  10. Kantha, L., K. Whitmer, and G. Born (1994). The inverted barometer effect in altimetry: A study in the North Pacific. TOPEX/ Poseidon Rea. News 2, 18-23.
  11. Kim, H.-K. and Kim, Y.-T. (2013). Characteristics of Spatio-temporal Variability of Daily averaged Tidal Residuals in Korean Coasts. Journal of the Korean Society of Marine Environment & Safety, 19(6), 561-569(in Korean). https://doi.org/10.7837/kosomes.2013.19.6.561
  12. Mstsumoto, K., Takanezawa, T., and Ooe, M. (2000). Ocean tide model developed by assimilating TOPEX/POSEIDON altimeter data into hydrodynamical model: A global model and a regional model around Japan. Journal of Oceanography, Vol. 56, 567-581. https://doi.org/10.1023/A:1011157212596
  13. Pugh, D. T. (1987). Tides, Surges and Mean Sea-Level. A handbook of Engineers and Scientists. John Wiley & Sons, 472.
  14. Seo, S.-N. (2008). Digital 30sec Gridded Bathymetric Data of Korea Marginal Seas-KorBathy30s. Journal of Korean Society of Coastal and Ocean Engineers, 20(1), 110-120(in Korean).