DOI QR코드

DOI QR Code

Characteristics of Trend and Pattern for Water Quality Monitoring Networks Data using Seasonal-kendall, SOM and RDA on the Mulgeum in the Nakdong River

경향성 및 패턴 분석을 이용한 낙동강 물금지역의 수질 특성

  • Ahn, Jung-Min (Nakdong River Environment Research Center, National Institute of Environmental Research) ;
  • Lee, In-Jung (Nakdong River Environment Research Center, National Institute of Environmental Research) ;
  • Jung, Kang-Young (Nakdong River Environment Research Center, National Institute of Environmental Research) ;
  • Kim, Jueon (Nakdong River Environment Research Center, National Institute of Environmental Research) ;
  • Lee, Kwonchul (Nakdong River Environment Research Center, National Institute of Environmental Research) ;
  • Cheon, Seuk (Nakdong River Environment Research Center, National Institute of Environmental Research) ;
  • Lyu, Siwan (Department of Civil Engineering Changwon National University)
  • 안정민 (국립환경과학원 낙동강물환경연구소) ;
  • 이인정 (국립환경과학원 낙동강물환경연구소) ;
  • 정강영 (국립환경과학원 낙동강물환경연구소) ;
  • 김주언 (국립환경과학원 낙동강물환경연구소) ;
  • 이권철 (국립환경과학원 낙동강물환경연구소) ;
  • 천세억 (국립환경과학원 낙동강물환경연구소) ;
  • 류시완 (창원대학교 토목공학과)
  • Received : 2015.08.13
  • Accepted : 2016.01.04
  • Published : 2016.03.31

Abstract

Ministry of Environment has been operating water quality monitoring network in order to obtain the basic data for the water environment policies and comprehensively understand the water quality status of public water bodies such as rivers and lakes. The observed water quality data is very important to analyze by applying statistical methods because there are seasonal fluctuations. Typically, monthly water quality data has to analyze that the transition comprise a periodicity since the change has the periodicity according to the change of seasons. In this study, trends, SOM and RDA analysis were performed at the Mulgeum station using water quality data for temperature, BOD, COD, pH, SS, T-N, T-P, Chl-a and Colon-bacterium observed from 1989 to 2013 in the Nakdong River. As a result of trends, SOM and RDA, the Mulgeum station was found that the water quality is improved, but caution is required in order to ensure safe water supply because concentrations in water quality were higher in the early spring(1~3 month) the most.

Keywords

References

  1. Chang, H. J., 2002, Spatial variations of nutrient concentrations in Pennsylvania Watersheds, J. of the Kor. Geo. Soc., 37(5), 536-550.
  2. Choi, H. K., Baek, H. S., Heo, J. Y., 2002, Evaluation of water quality on the upstreams of the Soyanggang Dam by using multivariate analysis, J. of Industrial Technology, Kangwon Natl. Univ., 22(A), 201-210.
  3. Correll, D. L., 1998, The role of phosphorus in the eutrophication of receiving waters: a review, J. Environ. Qual., 27, 261-266.
  4. Donald, W., Meals, Jean Spooner, Steven, A., Dressing, Jon, B. Harcum., 2011, Statistical analysis for monotonic trends, Tech notes6, November 2011, Developed for U.S. Environmental Protection Agency by Tetra Tech, Inc., Fair fax, VA, 23, p. Available online at www.bae.ncsu.edu/programs/extension/wqg/319monitoring/tech_notes.htm.
  5. Garcia, H. L., Gonzalez, I. M., 2003, Self-organizing map and clustering for wastewater treatment monitoring, Eng. App. of Art. Int., 17, 215-225.
  6. Gilbert, R. O. 1987, Statistical methods for environmental pollution monitoring, Wiley, N.Y.
  7. Ha, K., Kim, H. W., Joo, G. J., 1998, The phytoplankton seccession in the lower part of hypertrophic Nakdong River(Mulgum), South Korea. Hydrobiologia. 369/370, 217-227.
  8. Han, D. H., 2010, Temporal and spatial analysis of water temperature and water quality assessment of streams and reservoirs in Korea, PhD Thesis. University of Seoul, Seoul.
  9. Helsel, D. R., Mueller, D. K., Slack, J. R., 2006, Computer program for the Kendall family of trend tests: U.S. Geological Survey Scientific Investigations Report 2005 5275, 4.
  10. Helsel, D. R., Hirsh, R. M., 1995, Statistical methods in water resources, Elsevier, N.Y.
  11. Hirsch, R. M., Slack, J. R., Smith, R. A., 1982, Techniques of trend analysis for monthly water quality data, Wat. Res. Res., 18(1), 107-121. https://doi.org/10.1029/WR018i001p00107
  12. Hong, Y. S., Rosen, M. R., 2001, Intelligent characterisation and diagnosis of the groundwater quality in an urban fractured-rockaquifer using an artificial neural network, Urb. Wat., 3, 193-204. https://doi.org/10.1016/S1462-0758(01)00045-0
  13. Joo, G. J., Kim, H. W., Ha, K., Kim, J. K., 1997, Long-term trend of the eutrophication of the lower Nakdong River, Kor. J. Lim., 30, 472-480.
  14. Kim, E. S., Yoon, J. H., Lee, J. W., Choi, H. I., 2012, Analysis of long-term trends in lake water quality observations, J. of Kor. Soc. of Haz. Mit., 12(1), 231-238. https://doi.org/10.9798/KOSHAM.2012.12.1.231
  15. Kim, H. J., Shin, B. K., Chang, C. W., 2008, Correlation between environmental factors and plant species spectrum of the streams, Kor. J. Env. Eco., 22(1), 43-58.
  16. Kim, Y. G., Jin, Y. H., Park, S. C., Kim, J. M., 2010, Analysis of non-point source pollution discharge characteristics in leisure facilities areas for pattern classification, J. of Kor. Wat. Res. Ass., 43(12), 1029-1038. https://doi.org/10.3741/JKWRA.2010.43.12.1029
  17. Kohonen, T., 2002, Self-organizing Maps. Springer, Berlin.
  18. Leps, J., Smilauer, P., 2003, Multivariate analysis of ecological data using CANOCO. Cambridge University Press, New York.
  19. Lu, R. S., Lo, S. L., 2002, Diagnosing reservoir water quality using self-organizing maps and fuzzy theory, Wat. Res., 36, 2265-2274. https://doi.org/10.1016/S0043-1354(01)00449-3
  20. Nakdong River Environment Research Center, 2013, Changes of water environment and phytoplankton community structures in the Nakdong River.
  21. Oh, Y. C., Lee, N. D., Kim, J. G., 2004, The evaluation of water quality in the Mankyung River using multivariate analysis, J. of the Env. Sci., 13(3), 233-244.
  22. Paik, B. C., Kim, C. K., Kim, T. R., 2011, A study on the pattern analysis of correlation between the river flow and water quality using a SOM technique, J. of Kor. Soc. of Urb. Env., 11(2), 153-160.
  23. Park, H. S., Park, C. K., Song, M. K., Baek, K. H., Shin, S. K., 1999, Evaluation of water quality characteristic using factor analysis in the Nakdong River, J. of Kor. Soc. on Wat. Qua., 17(6), 693-701.
  24. Park, J. H., Lee, G. S., Yang, J. S., Kim, S. W., 2012, A hydrometeorological time series analysis of Geum River Watershed with GIS data considering climate change, J. of Kor. Soc. for Geo. Inf. Sys., 20(3), 39-50.
  25. Shapiro, J., 1990, Current beliefs regarding dominance by blue-greens: the case for the importance of $CO_2$ and pH, Verh. Int. Verein. Limnol., 24, 38-54.
  26. SOM Toolbox Team, 2000, SOM Toolbox for Matlab 5, Helsinki University.
  27. Son, H. J., 2013, Long-term variations of phytoplankton biomass and water quality in the downstream of Nakdong River, J. Kor. Soc. Environ. Eng., 35(4), 263-267. https://doi.org/10.4491/KSEE.2013.35.4.263
  28. Song, M. K., Park, C. K., Lee, S. M., Baek, K. H., Shin, S. K., Song, K. O., 2000, Causes of water pollution in BOD and algal bloom in Winter season at Mulgum of the Nakdong River, J. KSWQ, 16(3), 305-314.
  29. ter Braak CJF, Prentice IC, 1988, A theory of gradient analysis, Adv Ecol Res., 18, 271-317.
  30. Wu, M. L., Zhang, Y. Y., Dong, J. D, Wang, Y. S., Cai, C. H., 2011, Identification of coastal water quality by self-organizing map in Sanya Bay, South China Sea, Aqu. Eco. Hea. & Man., 14(3), 291-297.
  31. Yoo, H. S., 2002, Statistical analysis of factors affecting the Han River water quality, J. of Kor. Soc. of Env. Eng., 24, 2139-2150.

Cited by

  1. Spatiotemporal and Longitudinal Variability of Hydro-meteorology, Basic Water Quality and Dominant Algal Assemblages in the Eight Weir Pools of Regulated River (Nakdong) vol.51, pp.4, 2018, https://doi.org/10.11614/KSL.2018.51.4.268