Journal of Korean Society on Water Environment (한국물환경학회지)

Korean Society on Water Environment (한국물환경학회)
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Assessment of Water Quality in the Lower Reaches Namhan River by using Statistical Analysis and Water Quality Index (WQI)

통계분석 및 수질지수를 이용한 남한강 하류 유역의 수질 평가

  • Cho, Yong-Chul (Han River Environment Research Center, National Institute of Environmental Research) ;
  • Choi, Hyeon-Mi (Han River Environment Research Center, National Institute of Environmental Research) ;
  • Ryu, In-Gu (Han River Environment Research Center, National Institute of Environmental Research) ;
  • Kim, Sang-hun (Han River Environment Research Center, National Institute of Environmental Research) ;
  • Shin, Dongseok (Han River Environment Research Center, National Institute of Environmental Research) ;
  • Yu, Soonju (Han River Environment Research Center, National Institute of Environmental Research)
  • 조용철 (국립환경과학원 한강물환경연구소) ;
  • 최현미 (국립환경과학원 한강물환경연구소) ;
  • 류인구 (국립환경과학원 한강물환경연구소) ;
  • 김상훈 (국립환경과학원 한강물환경연구소) ;
  • 신동석 (국립환경과학원 한강물환경연구소) ;
  • 유순주 (국립환경과학원 한강물환경연구소)
  • Received : 2020.11.16
  • Accepted : 2021.03.24
  • Published : 2021.03.30
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Abstract

Water pollution in the lower reaches of the Namhan River is getting worse due to drought and a decrease in water quantity due to climatic changes and hence is affecting the water quality of Paldang Lake. Accordingly, we have used a water quality index (WQI) and statistical analysis in this study to identify the characteristics of the water quality in the lower reaches of the Namhan River, the main causes of water pollution, and tributaries that need priority management. Typically, 10 items (WT, pH, EC, DO, BOD, COD, SS, T-N, T-P, and TOC) were used as the water quality factors for the statistical analysis, and the matrix of data was set as 324 × 10·1. The correlation analysis demonstrated a strong correlation between Chemical Oxygen Demand (COD) and T-P with a high statistical significance (r=0.700, p<0.01). Furthermore, the result of principal component analysis (PCA) revealed that the main factors affecting the change in water quality were T-P and organic substances introduced into the water by rainfall. Based on the Mann-Kendall test, a statistically significant increase in pH was observed in SH-1, DL, SH-2, CM, and BH, along with an increase in WQI in SH-2 and SM. BH was identified as a tributary that needs priority management in the lower reaches of the Namhan River, with a "Somewhat poor" (IV) grade in T-P, "Fair" grade in WQI, and "Marginal" grade in summer.

Keywords

References

  1. Akoteyon, I. S., Omotayo, A. O., Soladoye, O., and Olaoye, H. O. (2011). Determination of water quality index and suitability of urban river for municipal water supply in Lagos-Nigeria, Journal of Scientific Research, 54(2), 263-271.
  2. Alam, M. and Pathak, J. K. (2010). Rapid assessment of water quality index of Ramganga river, Western Uttar Pradesh (India) using a computer programme, Nature and Science, 8(11), 1-8.
  3. Balan, I. N., Shivakumar, M., and Kumar, P. D. M. (2012). An assessment of groundwater quality using water quality index in Chennai Tamil Nadu, India, Chronicles of Young Scientists, 3(2), 146-150. https://doi.org/10.4103/2229-5186.98688
  4. Bordalo, A. A., Nilsumranchit, W., and Chalermwat, K. (2001). Water quality and uses of the Bangpakong river (Eastern Thailand), Water Research, 35(15), 3635-3642. https://doi.org/10.1016/S0043-1354(01)00079-3
  5. Brown, R. M., McClelland, N. I., Deininger, R. A., and Tozer, R. G. (1970). Water quality index-do we dare?, Water Sewage Works, 117(10), 339-343.
  6. Canadian Council of Ministers of the Environment (CCME). (2001). Canadian water quality guidelines for the protection of aquatic life: CCME water quality index 1.0, Technical Report, In Canadian Environmental Quality Guidelines.
  7. Chang, S. H. (2010). The assessment of water quality in Nam-Hangang basin using statistic analysis, Hanyang University, Seoul, Korea, 1-75. [Korean Literature]
  8. Cho, Y. C., Lee, S. W., Ryu, I. G., and Yu, S. J. (2017). Assessment of spatiotemporal water quality variation using multivariate statistical techniques: a case study of the Imjin river basin, Korea, Journal of Korean Society Environment Engineers, 39(11), 641-649. [Korean Literature] https://doi.org/10.4491/KSEE.2017.39.11.641
  9. Debels, P., Figueroa, R., Urrutia, R., Barra, R. and Niell, X. (2005). Evaluation of water quality in the Chilla'n river (Central Chile) using physicochemical parameters and a modified water quality index, Environmental Monitoring and Assessment, 110, 301-322. https://doi.org/10.1007/s10661-005-8064-1
  10. Environment Canada. (2008). Canadian environmental sustain-ability indicators, Gatineau, Quebec, Canada.
  11. Gilbert, R. O. (1987). Statistical methods for environmental pollution monitoring, Van Nostrand Reinhold Company. Inc. New York, 127.
  12. 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
  13. Horton, R. K. (1965). An index number system for rating water quality, Journal of Water Pollution Control Federation, 37(3), 300-306.
  14. Hwang, S. J., Kim, K. H., Park, C. H., Seo, W. B., Choi, B. G., Eum, H. S., Park, M. H., Noh, H. R., Sim, Y. B., and Shin, J. K. (2016). Hydro-meteorological effects on water quality variability in Paldang reservoir, confluent area of the South-Han River-North-Han River-Gyeongan stream, Korea, Journal of Korean on Society Limnology, 49(4), 354-374. [Korean Literature]
  15. Jeon, J. H., Yoon, C. G., and Ham. J. H. (2001). Analysis of relationships among the pollutant concentrations in non-urban area, Korean Journal of Limnology, 34(3), 215-222. [Korean Literature]
  16. Ji, H. S., Kim, M. H., Lee, Y. J., and Son, H. J. (2020). Characteristics of dissolved organic matter (DOM) based on molecular weight fractions and fluorescence properties in the downstream Nakdong river, Journal of korean Society on Water Environment, 36(3), 194-205. [Korean Literature] https://doi.org/10.15681/KSWE.2020.36.3.194
  17. Jonnalagadda, S. B. and Mhere, G. (2001). Water quality of the Odzi River in the eastern highlands of Zimbabwe, Water Research, 35(10), 2371-2376. https://doi.org/10.1016/S0043-1354(00)00533-9
  18. Kal, B. S., Park, J. B., Kim, S. H., and Im, T. H. (2017). Assessment of tributary water quality using integrated water quality index, Journal of Wetlands Reserarch, 19(3), 311-317. [Korean Literature]
  19. Kendall, M. G. (1975). Rank correlation methods. Charles Griffin. London. 202.
  20. Kim, J. H., Choi, C. M., Kim, W. I., Lee, J. S., Jung, G. B., Han, K. H., Ryu, J. S., Lee, J. T., and Kwun, S. K. (2007). Multi-variate statistical analysis for evaluation of water quality properties in Korean rural watershed, Korean Journal of Environmental Agriculture, 26(1), 17-24. [Korean Literature] https://doi.org/10.5338/KJEA.2007.26.1.017
  21. Kim, J. H. and Park, S. S. (2004). Long-term trend analysis of water quality in Nakdong river based on non-parametric statistical methods, Journal of Korean Society on Water Environment, 20(1), 63-71. [Korean Literature]
  22. Kim, Y. J., Kal, B. S., Park, J. B., Kim, S. H., and Im, T. H. (2018). Classification of Nakdong river tributaries under priority management based on their characteristics and water quality index, Journal of Korean Society of Environmental Engineers, 40(2), 73-81. [Korean Literature] https://doi.org/10.4491/KSEE.2018.40.2.73
  23. Kim, Y. Y. and Lee, S. J. (2011). Evaluation of water quality for the Han river tributaries using multivariate analysis, Journal of Korean Society Environmental Engineers, 33(7), 501-510. [Korean Literature] https://doi.org/10.4491/KSEE.2011.33.7.501
  24. Kong, B. W., Lee, W. J., Ra, D. G., and Cheong, C. J. (2016). Analysis of temporal-spatial characteristics of water quality using water quality index in the Suncheon bay, Journal of the Korean Society for Environmental Technology, 17(2), 96-104. [Korean Literature]
  25. Krishan, G., Singh, S., Singh, R. P., and Ghosh, N. C. (2016). Water quality index of groundwater of Haridwar distict, Uttarakhand, India, Water and Energy International, 58(10), 55-58.
  26. Lattin, J., Carroll, J. D., and Green, P. E. (2003). Analysis multivariate data, Pacific Grove, CA, Brooks/Cole-Thomson Learning.
  27. Lee, H. J., Kong, D. S., Kim, S. H., Shin, K. S., Park, J. H., Kim, B. I., Kim, S. M., Jang, S. H., and Cheon, S. U. (2007). Investigation on water quality variation characteristics during dry season in Namhan river drainage basin, Journal of Korean Society on Water Environment,. 23(6), 867-886. [Korean Literature]
  28. Lee, H. W. and Park, S. S. (2008). Long-Term trend analysis of water quality in Mangyung watershed, Journal of Korean Society on Water Environment, 24(4), 480-487. [Korean Literature]
  29. Lee, J. E., Choi, J. W., and An, K. G. (2012). Influence of landuse pattern and seasonal precipitation on the long-term physico-chemical water quality in Namhan river watershed, Journal of the Environmental Science, 21(9), 1115-1129. [Korean Literature]
  30. Lee, S. R., Shin, J. Y., Lee, G. J., Sung, Y. S., Kim, K. S., Lim, K. J., and Kim, J. G. (2018). Analysis of water pollutant load characteristics and its contributions during dry season: focusing on major streams inflow into South- Han river of Chungju-dam downstream, Journal of Korean Society Environmental Engineers, 40(6), 247-257. [Korean Literature] https://doi.org/10.4491/KSEE.2018.40.6.247
  31. Lettenmaier, D. P. (1988). Multivariate nonparametric tests for trend in water quality, Water Resources Bulletin, 24(3), 505-512. https://doi.org/10.1111/j.1752-1688.1988.tb00900.x
  32. Lim, B. J., Hong, J. Y., and Yeon, I. S. (2010). Application of canadian council of ministers of the environment water quality index (CCME WQI) in daecheong reservoir using automatic water quality monitoring data, Journal of Korean Society on Water Environment, 26(5), 796-801. [Korean Literature]
  33. Lumb, A., Halliwell, D., and Sharma, T. (2006). Application of CCME water quality index to monitor water quality: A case of the Mackenzie river basin, Canada, Environmental Monitoring and Assessment, 113, 411-429. https://doi.org/10.1007/s10661-005-9092-6
  34. Lumb, A., Sharma, T. C., and Bibeault, J. F. (2011). A review of genesis and evolution of water quality index (WQI) and some future directions, Water Quality Exposure and Health, 3, 11-24. https://doi.org/10.1007/s12403-011-0040-0
  35. Mann, H. B. (1945). Nonparametric tests against trend, Econometrica, 13, 245-259. https://doi.org/10.2307/1907187
  36. Ministry of Environment (ME). (2017-2019). Standard methods for the examination of water and wastewater, Ministry of Environment. [Korean Literature]
  37. Ministry of Environment (ME). (2020). Water Environment Information System (WEIS), http://water.nier.go.kr (accessed May. 2020)
  38. Nam, W. K., Choi, I. W., Kim, Y. Y., Lim, H. S., Kim, M. J., Lim, C. K., Kim, S. H., and Kim, T. H. (2017). A plan to improve Bokha stream quality using water quality and pollution source analyses, Journal of the Korean Society for Environmental Analysis, 20(3), 174-182. [Korean Literature]
  39. National Institute of Environmental Research (NIER). (2005). Investigation on loading and water quality variation in Namhangang drainage basin, NIER No.2005-34-779, National Institute of Environmental Research, 1-108. [Korean Literature]
  40. National Institute of Environmental Research (NIER). (2013). Real time water quality data system construction and database enhancement (I), National Institute of Environmental Research. [Korean Literature]
  41. National Institute of Environmental Research (NIER). (2014). Study on management strategy to improve the accuracy of real-time monitoring data for water quality (II), National Institute of Environmental Research. [Korean Literature]
  42. National Institute of Environmental Research (NIER). (2017). A comprehensive study on water quality control of Paldang watershed (III): a assessment system to diagnose and evaluate water pollutant, NIER-RP2017-223, National Institute of Environmental Research, 1-50. [Korean Literature]
  43. National Institute of Environmental Research (NIER). (2019). Operation for streamflow monitoring network in Han river basin, National Institute of Environmental Research, 36-53. [Korean Literature]
  44. Park, H. K., Byeon, M. S., Choi, M. H., and Kim, Y. J. (2008). The effect factors on the growth of phytoplankton and the sources of organic matters in downstream of South-Han river, Journal of Korean Society on Water Environment, 24(5), 556-562. [Korean Literature]
  45. Park, J. B., Kal, B. S., and Kim, S. H. (2018). Long-term trend analysis of major tributaries of Nakdong river using water quality index, Journal of Wetlands Research, 20(3), 201-209. [Korean Literature] https://doi.org/10.17663/JWR.2018.20.3.201
  46. Park, J. H., Sohn, S. M., and Rhew, D. H. (2011). A study on the discharged characteristics of the pollutants using the empirical equation and factor analysis-case study of the upper and lower watershed of South Han river, Journal of Korean Society on Water Environment, 27(6), 905-913. [Korean Literature]
  47. Park, S. Y., Park, S. S., Kim, D. H., Kong, D. S., and Kim, B. C. (1998). Mann-kendall trend analysis of water qualities in major lakes in Korea, Korean Society of Environmental Engineers Conference, Nov 7-8, Kongju City, Korea, Kongju University [Korean Literature]
  48. Pesce, S. F. and Wunderlin, D. A. (2000). Use of water quality indices to verify the impact of Cordoba city (Argentina) on Suquia river, Water Research, 34(11), 2915-2926. https://doi.org/10.1016/S0043-1354(00)00036-1
  49. Rim, C. S., Shin, J. K., and Cho, K. J. (2000). The trend and assessment of water pollution from midstream to downstream of the Kum river, Korean Journal of Ecology and Environment, 33(1), 51-60. [Korean Literature]
  50. Salim, B. J., Gholamreza, N. B., Amir, S., Masoud, T., and Mojtaba, A. (2009). Water quality assessment of Gheshlagh river using water quality indices, Environmental Science, 6(4), 19-28.
  51. Samantray, P., Mishra, B. K., Panda, C. R., and Rout, S. P. (2009). Assessment of water quality index in Mahanadi and Atharabanki rivers and Taldanda canal in Paradip area, Journal of Human Ecology, 26(3), 153-161. https://doi.org/10.1080/09709274.2009.11906177
  52. Sebastian, J. and Yamakanamardi, S. M. (2013). Assessment of water quality index of Cauvery and Kapila rivers and at their confluence, International Journal of Lakes and Rivers, 6(1), 59-67.
  53. Seth, R., Mohan, M., Singh, P., Singh, R., Dobhal, R., Singh, K. P., and Gupta, S. (2016). Water quality evaluation of Himalayan rivers of Kumaun region, Uttarakhand, India, Applied Water Science, 6, 137-147. https://doi.org/10.1007/s13201-014-0213-7
  54. Shin, S. H., Im, T. H., Kim, S. H., Shin, D. S., and Kown, H. G. (2018). Consideration in applying Korean-comprehensive water quality index (K-WQI) to assessment of water quality in the major tributaries of Gumho-river basin, Journal of Korean Society Hazard Mitigation, 18(2), 455-465. [Korean Literature] https://doi.org/10.9798/kosham.2018.18.2.455
  55. Shrestha, S. and Kazama, F. (2007). Assessment of surface water quality using multivariate statistical techniques: a case study of the Fuji river basin, Japan, Environmental Modelling & Software, 22, 464-475. https://doi.org/10.1016/j.envsoft.2006.02.001
  56. Singh, K. P., Malik, A., Mohan, D., and Sinha, S. (2004). Water quality assessment and apportionment of pollution sources of Gomti river (India) using multivariate statistical techniques-a case study, Analysis Chimica Acta, 538(1-2), 355-374.
  57. Yim, H. S. (2017). Institutional approach to water quality policies of South Korea focusing on the Han-river basin, Public Policy Review, 31(2), 103-128. [Korean Literature] https://doi.org/10.17327/ippa.2017.31.2.005
  58. Yoon, H. Y., Kim, J. H., Chae, M. H., Cho, Y. H., and Cheon, S. U. (2019). Assessment of water quality in the Miho stream using multivariate statistics, Journal of Environment Impact Assessment, 28(4), 373-386. [Korean Literature]
  59. Yu, J. H. (2019). Assessment of contamination level of stream and tributaries using intergrated water quality index, Master's Thesis, Seoul National University of Science and Technology, Seoul, Korea, 1-57. [Korean Literature]
  60. Yu, J. H., Lee, H. S., Lim, B. R., Kang, J. H., Ahn, T. U., and Shin, H. S. (2020). Analysis of pollution characteristics in the mainstream and its tributaries of Gongneung stream using water quality Index and pollution load data, Journal of Korean Society on Water Environment, 36(2), 125-136. [Korean Literature] https://doi.org/10.15681/KSWE.2020.36.2.125
  61. Zahraa Zahraw, A. J., Abdul-Rahman, A. K., Abdul-Hameed, M., and Jwad, A. O. (2012). Assessment of water quality of Tigris river by using water quality index (CCME WQI), Journal of Al-Nahrain University, 15(1), 119-126.