DOI QR코드

DOI QR Code

A Study on the Water Quality Changes of TMDL Unit Watershed in Guem River Basin Using a Nonparametric Trend Analysis

비모수 경향분석법 적용을 통한 금강수계 총량관리 단위유역의 수질변화 연구

  • Kim, Eunjung (Watershed and Total Load Management Research Division, National Institute of Environmental Research) ;
  • Kim, Yongseok (Watershed and Total Load Management Research Division, National Institute of Environmental Research) ;
  • Rhew, Doughee (Watershed and Total Load Management Research Division, National Institute of Environmental Research) ;
  • Ryu, Jichul (Watershed and Total Load Management Research Division, National Institute of Environmental Research) ;
  • Park, Baekyung (Watershed and Total Load Management Research Division, National Institute of Environmental Research)
  • 김은정 (국립환경과학원 유역총량연구과) ;
  • 김용석 (국립환경과학원 유역총량연구과) ;
  • 류덕희 (국립환경과학원 유역총량연구과) ;
  • 류지철 (국립환경과학원 유역총량연구과) ;
  • 박배경 (국립환경과학원 유역총량연구과)
  • Received : 2014.01.15
  • Accepted : 2014.02.14
  • Published : 2014.03.30

Abstract

In order to assess the effect of TMDLs management and improve that in the future, it is necessary to analyze long-term changes in water quality during management period. Therefore, long term trend analysis of BOD was performed on thirty monitoring stations in Geum River TMDL unit watersheds. Nonparametric trend analysis method was used for analysis as the water quality data are generally not in normal distribution. The monthly median values of BOD during 2004~2010 were analyzed by Seasonal Mann-Kendall test and LOWESS(LOcally WEighted Scatter plot Smoother). And the effect of Total Maximum Daily Loads(TMDLs) management on water quality changes at each unit watershed was analyzed with the result of trend analysis. The Seasonal Mann-Kendall test results showed that BOD concentrations had the downward trend at 10 unit watersheds, upward trend at 4 unit watersheds and no significant trend at 16 unit watersheds. And the LOWESS analysis showed that BOD concentration began to decrease after mid-2009 at almost all of unit watersheds having no trend in implementation plan watershed. It was estimated that TMDLs improved water quality in Geum River water system and the improvement of water quality was made mainly in implementation plan unit watershed and tributaries.

Keywords

References

  1. Bekele, A. and McFarland, A. (2004). Regression-based flow adjustment procedures for trend analysis of water quality data, Transactions of the ASAE, 47(4), pp. 1093-1104. https://doi.org/10.13031/2013.16582
  2. Cleveland, W. S. (1979). Robust Locally Weighted Regression and Smoothing Scatterplots, Journal of the American Statistical Association, 74(368), pp. 829-836. https://doi.org/10.1080/01621459.1979.10481038
  3. Cleveland, W. S. and Devlin, S. J. (1988). Locally weighted regression: An approach to regression analysis by local fitting, Journal of the American Statistical Association, 83, pp. 596-610. https://doi.org/10.1080/01621459.1988.10478639
  4. Gilbert, R. O. (1987). Statistical Methods for Environmental Pollution Monitoring, Van Nostrand Reinhold, New York, NY. pp. 1-320.
  5. Han, J. H., Bae, Y. J., and An, K. G. (2010). Spatial and Temporal Variability of Water Quality in Geum-River Watershed and Their Influences by Landuse Pattern, Korean Journal of Limnology, 43(3), pp. 385-399. [Korean Literature]
  6. Helsel, D. R. and Hirsch, R. M.(1992). Statistical Methods in water resources, Amsterdam, Elsevier Science Publishers, pp. 1-522.
  7. Hirsch, R. M. and Slack, J. R. (1984). A Nonparametric Trend Test for Seasonal Data With Serial Dependence, Water Resources Research, 20(6), pp. 727-732. https://doi.org/10.1029/WR020i006p00727
  8. Hirsch, R. M., Slack, J. R., and Smith, R. A. (1982). Techniques of Trend Analysis for Monthly Water-quality Data, Water Resources Research, 18, pp. 107-121. https://doi.org/10.1029/WR018i001p00107
  9. Kim, J. G. (2002). Evaluation of Water Quality in the Keum River using Statistics Analysis, Journal of the Korean Environmental Sciences Society, 11(12), pp. 1281-1289. [Korean Literature]
  10. Kim, J. H. and Park, S. S. (2004). Long-Term Trend Analyses of Water Qualities in Nakdong River Based on Non- Parametric Statistical Methods, Journal of Korean Society on Water Environment, 20(1), pp. 63-71. [Korean Literature]
  11. Lee, H. W. and Park, S. S. (2008). Long-Term Trend Analyses of Water Qualities in Mangyung Watershed, Journal of Korean Society on Water Environment, 24(4), pp. 480-487. [Korean Literature]
  12. Lee, H. W. and Park, S. S. (2009). Trend Analysis of Water Quality in Dongjin River Watershed, Korean Journal of Limnology, 42(1), pp. 39-47. [Korean Literature]
  13. Lee, J. S., Jung, G. B., Kim, J. H., Yun, S. G., Kim, W. I., and Shin, J. D. (2004). Evaluation of Water Quality with BOD at Mankyeong and Dongjin River Basins, Korean Journal of Environmental Agriculture, 23(2), pp. 81-84. [Korean Literature] https://doi.org/10.5338/KJEA.2004.23.2.081
  14. Lettenmaier, D. P. (1988). Multivariate Nonparametric Tests for Trend in Water Quality, Water Resources Bulletin, 24(3), pp. 505-512. https://doi.org/10.1111/j.1752-1688.1988.tb00900.x
  15. Montomery, R. H. and Reckhow, K. H. (1984). Techniques for Detecting Trends in Lake Water Quality, Water Resources Bulletin, 20(1), pp. 45-52.
  16. National Institute of Environmental Research (NIER). (2011). Guem-gang-su-gye-je-il-dan-gye-su-jil-o-yeom-chong-ryang-je-si-haeng-seong-gwa-pyoung-ga. [Performance Measurement of Total Maximum Daily Loads for the 1st phase in Guem River], National Institute of Environmental Research. [Korean Literature]
  17. Oh, Y. C., Lee, N. D., and Kim, J. G. (2004). The Evaluation of Water Quality in the Mankyung River using Multivariate Analysis, Journal of the Korean Environmental Sciences Society, 13(3), pp. 233-244. [Korean Literature]
  18. Park, J. D. and Oh, S. Y. (2012). Contributions to the Impaired Water Bodies by Hydrologic Conditions for the Management of Total Maximum Daily Loads, Journal of Korean Society on Water Environment, 28(4), pp. 574-581. [Korean Literature]
  19. Park, J. H., Oh, S. Y., and Lee, J. K. (2012). Evaluation of Water Quality Goal and Load Allocation Achievement Ratio in Geum River Total Maximum Daily Loads for the 1st Phase, Journal of Korean Society on Water Environment, 28(6), pp. 859-865. [Korean Literature]
  20. Park, J. H., Park, B. K., Oh, S. Y., Hwang, H. S., and Lee, J. K. (2013). Excessive State of Pollutant Load Allocation and Penalty Application Schemes based on Pollutant Reduction Plan Types for Solving Excessive Problem of Allocation, Journal of Korean Society on Water Environment, 29(1), pp. 66-73. [Korean Literature]
  21. Shin, M. S., Lee, Y. K., Park, J. H., and Kim, B. C. (2012). Primary Productivity of Phytoplankton in a Eutrophic River (Kum River System), Journal of Korean Society on Water Environment, 28(1), pp. 10-17. [Korean Literature]
  22. Sokal, R. R. and Rohlf, F. J. (1995). Biometry: The Principles and Practice of statistics in Biological Research., W.H., Freeman & Co., New York, NY.
  23. Song, E. S., Jeon, S. M., Lee, E. J., Park, D. J., and Shin, Y. S. (2012). Long-term Trend Analysis of Chlorophyll a and Water Quality in the Yeongsan River, Korean Journal of Limnology, 45(3), pp. 302-313. [Korean Literature]
  24. Yang, H. S. and Kim, S. S. (1990). Characteristics of Spatio - temporal Variation of the Water Quality in the Lower Keum River, Korean Journal of Fisheries and Aquatic Sciences, 23(3), pp. 225-237. [Korean Literature]
  25. You, S. J., Kim, J. G., Kwon, T. Y., and Lee, S. M. (1999). A Study on the Eutrophication in the Keum River, Journal of the Korean Environmental Sciences Society, 8(2), pp. 155-160. [Korean Literature]

Cited by

  1. Verification of water environment monitoring network representativeness under estuary backwater effects vol.190, pp.8, 2018, https://doi.org/10.1007/s10661-018-6849-2
  2. Patterns and Trends of Water Level and Water Quality at the Namgang Junction in the Nakdong River Based on Hourly Measurement Time Series Data vol.27, pp.2, 2018, https://doi.org/10.5322/JESI.2018.27.2.63