Journal of Korean Society on Water Environment (한국물환경학회지)

Korean Society on Water Environment (한국물환경학회)
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A Non-parametric Analysis of the Tam-Jin River : Data Homogeneity between Monitoring Stations

탐진강 수질측정 지점 간 동질성 검정을 위한 비모수적 자료 분석

  • Kim, Mi-Ah (Department of Environmental Diagnostics Research, National Institute of Environmental Research) ;
  • Lee, Su-Woong (Department of Environmental Cap System Research, National Institute of Environmental Research) ;
  • Lee, Jae-Kwan (Department of Environmental Diagnostics Research, National Institute of Environmental Research) ;
  • Lee, Jung-Sub (Department of Environmental Measurement Standards, National Institute of Environmental Research)
  • 김미아 (국립환경과학원 환경진단연구부) ;
  • 이수웅 (국립환경과학원 환경총량연구부) ;
  • 이재관 (국립환경과학원 환경진단연구부) ;
  • 이정섭 (국립환경과학원 환경측정기준부)
  • Received : 2005.08.02
  • Accepted : 2005.10.11
  • Published : 2005.11.30
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Abstract

The Non-parametric Analysis is powerful in data test especially for the non- normality water quality data. The data at three monitoring stations of the Tam-Jin River were evaluated for their normality using Skewness, Q-Q plot and Shapiro-Willks tests. Various constituent of water quality data including temperature, pH, DO, SS, BOD, COD, TN and TP in the period of January 1994 to December 2004 were used as dataset. Shapiro-Willks normality test was carried out for a test 5% significance level. Most water quality data except DO at monitoring stations 1 and 2 showed that data does not normally distributed. It is indicating that non-parametric method must be used for a water quality data. Therefore, a homogeneity was conducted by Mann-Whitney U test (p<0.05). Two stations were paired in three pairs of such stations. Differences between stations 1, 2 and stations 1, 3 for pH, BOD, COD, TN and TP were meaningful, but Tam-Jin 2 and 3 stations did not meaningful. In addition, a narrow gap of the water quality ranges is not a difference. Categories in which all three pairs of stations (1 and 2, 2 and 3, 1 and 3) in the Tam-Jin River showed difference in water quality were analyzed on TN and TP. The results of in this research suggest a right analysis in the homogeneity test of water quality data and a reasonable management of pollutant sources.

Keywords

References

  1. 김용구, 박성천, 표영평, 탐진강 유역의 BOD 오염 부하량 삭감률 산정, 한국물환경학회지, 19(4), pp. 393-400 (2003)
  2. 박석순, 이상희, 박배경, 이상호, 비모수 통계방법을 이용한 남 . 북한강 지천의 수질비교, 한국육수학회지, 28(3), pp. 299-307 (1995)
  3. 배도선, 이낙영, 권혁무, 장중순, 차명수, 윤원영, 김명수, 이민구, 통계학 이론과 응용, 청문각, pp. 665-666 (2003)
  4. 영산강물환경연구소, 탐친강수계 오염물질 배출원 및 유출 특성 조사(I), 국립환경연구원보, NIER No.2004-33-739 (2004)
  5. 이재영, 이성원, 특정분포에 따른 확률 Plot들의 정규성과 Bimodality 비교, 한국통계학회논문집, 4(1), pp. 243-254 (1997)
  6. 환경부물환경정보시스템, http://water.nier.go.kr/weis/ (accessed June, 2005)
  7. Barry, L. J., Richardson, W. B. and Naimo, T. J., Past, Present and Future Concepts in Large River Ecology, Bioscience, 45, pp. 134-152 (1995) https://doi.org/10.2307/1312552
  8. Hirsch, R. M., Slack, J. R. and Smith, R. A., Techniques of Trend Analysis for Monthly Water Quality Data, Water Resources Research, 18(1), pp. 107-121 (1982) https://doi.org/10.1029/WR018i001p00107
  9. Hirsch, R. M. and Slack, J. R., A Nonparametric Trend Test for Seanaonal Data with Serial Dependence, Water Resources Research, 20(6), pp. 727-732 (1984) https://doi.org/10.1029/WR020i006p00727
  10. Lettenmaier, D. P., Multivariate Nonparametric Test for Trend, Water Resources Bulletin, 24(3), pp. 505-512 (1988)
  11. Montogomery, R. H. and Reckhow, K. H., Techniques for Detecting Trends in Lake Water Quality, Water Resources Bulletin, 20(1), pp. 45-52 (1984)
  12. Shapiro, S. S. and Wilk, M. B., An Analysis-of-variance Test for Normality (complete sample), Biometrika, 52, pp. 591-611 (1965)
  13. Van Belle, G. and Hughes, J. P., Nonparametric Tests for Trend in Water Quality; Water Resources Research, 20(1), pp. 127-136 (1984) https://doi.org/10.1029/WR020i001p00127