Ocean and Polar Research

Korea Institute of Ocean Science & Technology (한국해양과학기술원)
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Error Bounds Analysis of the Environmental Data in Lake Shihwa and Incheon Coastal Zone

시화호.인천연안 환경자료의 오차범위 분석

  • Cho, Hong-Yeon (Marine Environment & Pollution Prevention Research Department, KORDI)
  • 조홍연 (한국해양연구원 해양환경.방제연구부)
  • Published : 2008.06.30
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Abstract

The characteristic analysis of the estimated population parameters, i.e., standard deviation and error bound of coastal pollutant concentrations (hereafter PC, i.e., COD, TN, and TP concentrations), was carried out by using environmental data with different sampling frequency in Lake Shihwa and Incheon coastal zone. The results clearly show that standard deviation of the PC increases as its mean value increases. The error bounds of the annual mean values based on seasonally measured DO concentrations and PC data in Incheon coastal zone were estimated as ranges 2.26 mg/l, $0.68{\sim}0.86\;mg/l$, $0.62{\sim}0.80\;mg/l$, and $0.074{\sim}0.082\;mg/l$, respectively. In terms of annual mean of the DO concentration and PC in Lake Shihwa, the error bounds based on monthly measured data from 1997 to 2003 were also estimated as ranges 4.0 mg/l, 3.0 mg/l, $0.5{\sim}1.0\;mg/l$, and 0.05 mg/l, respectively. The error bound on the basis of real-time monitoring data is $7{\sim}13%$ only as compared to that of monthly measured data.

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References

  1. 김우철, 김재주, 박병욱, 박성현, 박태성, 송문섭, 이상열, 이영조, 전종우, 조신섭. 2007. 통계학 개론, 4판. 영지문화사. 535 p
  2. 물환경정보시스템. 2007. [2007-10-10]
  3. 박성현. 1985. 회귀분석, 개정판. 대영사. 654 p
  4. 이상열. 2001. 시계열 분석의 원리. 자유아카데미. 329 p
  5. 조홍연, 조범준, 김상준. 2008. 계절별 염분 자료를 이용한 아산만 연안의 담수 영향범위 추정. 한국해안·해양공학회논문집. 20(2), 219-231
  6. 해양수산부. 국가해양환경통합정보시스템. [2007-10-10]
  7. 해양수산연구정보. 2007. 국가해양측정망-해양환경. [2007-10-10]
  8. Agresti, A. and C. Franklin. 2007. Statistics: The art and science of learning from data. Pearson Prentice Hall. 693 p
  9. Atkinson, A.C. 1985. Plots, transformations, and regression, an introduction to graphical methods of diagnostic regression analysis. Clarendon Press, Oxford. 282 p
  10. Barnett, V. and T. Lewis. 1998. Outliers in statistical data, 3rd ed. Wiley, Chichester. 584 p
  11. Berthouex, P.M. and L.C. Brown. 1994. Statistics for environmental engineers. Lewis Publishers, Boca Raton. 335 p
  12. Cryer, J.D. 1986. Time series analysis. Duxbury Press, Boston. 286 p
  13. Emery, W.J. and R.E. Thomson. 1998. Data analysis methods in physical oceanography. p. 193-304. In: Statistical methods and error handlng, ed. by W.J. Emery and R.E. Thomson. Pergamon, Kidlington
  14. Farnum, N.R. and L.W. Stanton. 1989. Quantitative forecasting methods. PWS-Kent Publishing, Boston. 573 p
  15. Goda, Y. 2000. Random seas and design of maritime structures. In: Advanced series on ocean engineering, v. 15. 443 p
  16. GraphPad Software. 2008. Grubbs' test for detecting an outlier. Available from WWW: [cited 2008-5-1]
  17. Haldar, A. and S. Mahadevan. 2000. Probability, reliability, and statistical methods in engineering design. Wiley, New York. 304 p
  18. Harvey, A.C. 1993. Time series models, 2nd ed. The MIT Press. 308 p
  19. Keith, L.H. 1988. Principles of environmental sampling, ACS professional reference book, ed. by L.H. Keith. American Chemical Society, Washington D.C. 458 p
  20. Kottegoda, N.T. and R. Rosso. 1997. Statistics, probability, and reliability for civil and environmental engineers. McGraw-Hill, New York. 735 p
  21. Montgomery, D.C. 2005. Introduction to statistical quality control, 5th ed. John Wiley, Hoboken. 759 p
  22. Ott, R.L. and M. Longnecker. 2001. An introduction to statistical methods and data analysis. 5th ed. Duxbury. 1152 p
  23. Spiegel, M.R. 1988. Schaumís outline of theory and problems of statistics. McGraw-Hill, New York. 504 p
  24. US EPA. 1992. Monitoring guidance for the national estuary program. UA Environmental Protection Agency, EPA 842-B-92-004. 65 p
  25. Ward, R.C., J.C. Loftis, and G.B. McBride. 1990. Design of water quality monitoring systems. Van Nostrand Reinhold, New York. 231 p