DOI QR코드

DOI QR Code

A Nonparametric Trend Tests Using TMDL Data in the Nakdong River

낙동강 수계의 수질오염총량 자료를 이용한 비모수적 수질추세 분석

  • Kim, Mi-Ah (Water Environment Research Department, National Institute of Environmental Research) ;
  • Lee, Soyoung (Water Environment Research Department, National Institute of Environmental Research) ;
  • Mun, Hyunsaing (Water Environment Research Department, National Institute of Environmental Research) ;
  • Cho, Hang-Soo (Han River Environment Research Center) ;
  • Lee, Jae-kwan (Water Environment Research Department, National Institute of Environmental Research) ;
  • Kim, Kyunghyun (Water Environment Research Department, National Institute of Environmental Research)
  • 김미아 (국립환경과학원 물환경연구부) ;
  • 이소영 (국립환경과학원 물환경연구부) ;
  • 문현생 (국립환경과학원 물환경연구부) ;
  • 조항수 (한강물환경연구소) ;
  • 이재관 (국립환경과학원 물환경연구부) ;
  • 김경현 (국립환경과학원 물환경연구부)
  • Received : 2016.11.03
  • Accepted : 2017.01.11
  • Published : 2017.01.30

Abstract

We were interested in the long-term temporal and spatial variability trends of water quality. Trend tests such as the Seasonal and Regional Kendall tests and LOWESS (LOcally WEighted Scatter plot Smoother) have been recommended as outstanding tools for trend detection. In this study, we conducted four types of nonparametric trend tests (Seasonal and Regional Kendall tests, LOWESS, and flow-adjusted Seasonal Kendall). We aimed to identify water quality trends using the monthly data for five variables (BOD, COD, TN, TP, and flow) collected from 24 sites in the Nakdong River from August 2004 to December 2013. According to the Regional Kendall test, BOD, COD, and TN increased but TP decreased trend. The Seasonal Kendall test showed that BOD, TN, and TP remained constant at 62.5-83.3% of the sites. COD remained constant at 58.3% of the sites. LOWESS showed that TP gradually increased between 2007 and 2008, then decreased slowly at the Gumi, Geumhogang6, Daeam-1 and Milyanggang3 sites. BOD increased slightly between 2008 and 2009, and then decreased slowly at the Namgang4-1 site. Lastly, a flow-adjusted Seasonal Kendall test was conducted. There were different results between Seasonal Kendall and flow-adjusted Seasonal Kendall tests at 11 of the 24 sites. According to the results from six of the eleven sites, BOD increased at one site, showed no trends at three sited, and decreased at two sites. Each of COD, TN increased at two, one site. but TP decreased at two sites.

Keywords

References

  1. Birsan, M. V., Molnar, P., Burlando, P., and Pfaundler, M. (2005). Streamflow trends in Switzerland, Journal of Hydrology, 314, 312-329. https://doi.org/10.1016/j.jhydrol.2005.06.008
  2. Choi, J. H., Ha, J. H., and Park, S. S. (2008). Estimation of the Effect of Water Quality Management Policy in Paldang Lake, Journal of Korean Society of Environmental Impact Assessment, 30(12), 1225-1230. [Korean Literature]
  3. Helsel, D. R. and Hirsch, R. M. (2002). Statistical Methods in Water Resources Techniques of Water-Resources Investigations Book 4, Chapter A3, U. S. Geological Survey, 226-230, 329-335.
  4. Helsel, D. R. and Frans, L. M. (2006). Regional Kendall Test for trend, Environmental Science & Technology, 40(13), 4066-4073. https://doi.org/10.1021/es051650b
  5. Hirsch, R. M., Slack, J. R., and Smith, R. A. (1982). Techniques of Trend Analysis for Monthly Water Quality Data, Water Resources Research, 18(1), 107-121. https://doi.org/10.1029/WR018i001p00107
  6. Hirsch, R. M. and Slack, J. R. (1984). A Nonparametric Trend Test for Seasonal Data With Serial Dependence, Water Resources Research, 20(6), 727-732. https://doi.org/10.1029/WR020i006p00727
  7. Johnson, N. M., Likens, G. E., Bormann, F. H., Fisher, D. W., and Pierce, R. S. (1969). A Working Model for the Variation in Stream Water Chemistry at the Hubbard Brook Experimental Forest, New Hampshire. Water Resources Research, 5(6), pp. 1353-1363. https://doi.org/10.1029/WR005i006p01353
  8. Karpouzos, D. K., Kavalieratou, S., and Babajimopoulos, C. (2010). Trend Analysis of Precipitation Data in Pieria Region (Greece), European Water, 30, 31-40.
  9. Kauffman, J. G., Homsey, R. A., Belden, C. A., and Sanchez, R. J. (2011). Water Quality Trends in the Delware River Basin (USA) from 1980 to 2005, Environmental Monitoring and Assessment, 177, 193-225. https://doi.org/10.1007/s10661-010-1628-8
  10. Kim, E. J., Kim, Y. S., Rhew, D. H., Ryu., J. C., and Pakk, B. K. (2014). A Study on the WaterQuality Changes of TMDL Unit Watershed in Geum River Basin Using a Nonparametric Trend Analysis, Journal of Korean Society on Water Environment, 30(2), 148-158. [Korean Literature] https://doi.org/10.15681/KSWE.2014.30.2.148
  11. 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), 63-71. [Korean Literature]
  12. Kim, J. T. (2014). Lowess and outlier analysis of biological oxygen demand on Nakdong main stream river, Journal of Korean Data & Information Science Society, 25(1), 119-130. [Korean Literature] https://doi.org/10.7465/jkdi.2014.25.1.119
  13. Korea Meteorological Administration (KMA). (2014). National Climate Data Service System(NCDSS). http://www.kma.go.kr (accessed Jan. 2015)
  14. 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), 480-487. [Korean Literature]
  15. Ministry of Environment (MOE). (2016). Watere Quality Monitoriung Program, 11-1480000-001223-10, Ministry of Environment, 3-4. [Korean Literature]
  16. National Institute of Environmental Research (NIER). (2008). Performance on 3 Year Implementation and Future Tasks in the Management of Total Maximum Daily Load, 11-1480523- 000357-01, National Institute of Environmental Research, 1-3. [Korean Literature]
  17. National Institute of Environmental Research (NIER). (2013). Changes of Water Environment and Phytoplankton Community Structures in the nakdong River, 11-1480523-001712-01, National Institute of Environmental Research, 3-5. [Korean Literature]
  18. National Institute of Environmental Research (NIER). (2014). Report of the National Pollution Source Survey, Based on the 2012, 11-1480523-000429-10, National Institute of Environmental Research, 14, 122. [Korean Literature]
  19. Nakdong River Basin Environmental Office (NDG). (2012). Technical Support Casebook of Total Phosphorus Treatment Plant, 11-1480354-000058-01, Nakdong River Basin Environmental Office, 23-26. [Korean Literature]
  20. Smith, R. A., Hirsch, R. M., and Slack, J. R. (1982). A Study of Trends in Total Phosphorous Measurements at Stations in the NASQAN network, Technical Report Water Supply Paper 2190, U. S. Geological Survey, Reston, Virginia, 1-8.
  21. Song, E. S., Jeon, S. M., 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), 302-313. [Korean Literature]
  22. U.S. Geological Survey (USGS). (2005). Computer Program for the Kendall Family of Trend Tests. http:://pubs.usgs.gov/sir/ 2005/5275 (accessed Jan. 2014)
  23. National Institute of Environmental Research (NIER). (2013). Water Information System (WEIS). http://water.nier.go.kr (accessed Jan. 2014)
  24. Xu, Z. X., Takeuchi, K., and Ishidaira, H. (2003). Monotonic trend and step changes in Japaneseprecipitation, Journal of Hydrology, 279, 144-150. https://doi.org/10.1016/S0022-1694(03)00178-1
  25. Yenilmez, F., Keskin, F., and Aksoy, A. (2011). Water quality trend analysis in Eymir Lake,Ankara, Physics and Chemistry of the Earth, 36, 135-140. https://doi.org/10.1016/j.pce.2010.05.005