Journal of Korean Society of Environmental Engineers (대한환경공학회지)

Korean Society of Environmental Engineers (대한환경공학회)
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Characterization of Water Quality in Changnyeong-Haman Weir Section Using Statistical Analyses

통계분석을 이용한 낙동강 창녕함안보 구간의 수질특성 연구

  • Gwak, Bo-ra (Department of Environmental Engineering, Pukyong National University) ;
  • Kim, Il-kyu (Department of Environmental Engineering, Pukyong National University)
  • Received : 2015.12.22
  • Accepted : 2016.02.18
  • Published : 2016.02.29
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Abstract

The study of water environment system in Changnyeong-Haman weir section using a statistical analysis has been conducted. Statistical analyses used in this study were the correlation analysis, the principal components, and the factor analysis. The purpose of the study is to establish better understanding of relationships between water quality factors in the Changnyeong-Haman weir section which can provide useful information to manage Nakdong river. According to correlation analyses on COD and TOC, it revealed that the value of correlation coefficient was 0.844. Furthermore, the results from the principal component analysis categorized the water quality factors into three factor groups, the first principal factor group included COD, TOC, BOD, pH, water temperature (WT). And, it was observed that the concentration of cyanobacteria in the water body decreased, while the concentrations of the diatoms and the green algae increased after the events of rainfall.

본 연구에서는 낙동강 창녕함안보 구간의 수질을 통계분석을 이용하여 수질 특성을 파악하였다. 다양한 통계분석기법 중에서 상관분석과 주성분분석 및 요인분석을 실시하였으며, 강우에 따른 조류의 천이양상을 연구하였다. 이는 향후 창녕함안보 구간의 수질관리정책 수립을 위한 기초 자료를 구축하는데 매우 중요한 자료이다. 측정 자료의 상관성 분석 결과, 클로로필-a와 조류는 상관성이 유의하지 않게 나타났으며, 요인분석 결과로 3개의 주성분이 추출되었으며, 제 1요인으로는 COD, TOC, BOD, pH, 수온이 분류되었다. 또한, 강우에 따른 조류의 천이양상을 분석한 결과, 강우 후에는 남조류의 수중개체 농도가 감소하는 추세를 보인 반면, 규조류와 녹조류의 개체 농도는 다소 증가하였다.

Keywords

References

  1. Sin, Y., Lee, C., Cho, K. and Song, E., "Trends of phytoplankton community and water quality and implications for management in estuarine river system," Korean J. Limnol., 38(2), 160-180(2005).
  2. Son, H.-J., "Long-Term Variations of Phytoplankton Biomass and Water Quality in the Downstream of Nakdong River," J. Korean Soc. Environ. Eng., 35(4), 263-267(2013). https://doi.org/10.4491/KSEE.2013.35.4.263
  3. Park, T. G., Park, K. H. and Seon, K. H., Water pollution, Donghwa Technology(1987).
  4. Park, H.-K., "Survey method relating Freshwater Phytoplankton for the Management of Water Resources," J. Korean Soc. Environ. Eng., 29(6), 593-609(2007).
  5. Park, H.-K., Chung, C.-M., Bahk, J.-R. and Hong, Y.-K., "The Relationship between Phytoplankton Productivity and Water Quality Changes in Downstream of Nakdong River," J. Korean Environ. Sci. Soc., 8(1), 101-106(1999).
  6. Joung, S.-H., Ahn, C.-Y., Choi, A.-R., Jang, K.-Y. and Oh, H.-M., "Relation between Rainfall and Phytoplankton Community in Daechung Reservoir," J. Korean Environ. Biol., 23(1), 57-63(2005).
  7. Lee, J., Hamm, S., Cheong, J., Kim, H., Ko, E., Lee, K., and Lee, S., "Characterization riverbank-filtered water and river water qualities at a site in the lower Nakdong river basin, Republic of Korea," J. Hydrol., 376, 209-220(2009). https://doi.org/10.1016/j.jhydrol.2009.07.030
  8. Lee, H., Bhang, K. and Park, S., "Effective visualization for the spatiotemporal trend analysis of the water quality in the Nakdong river of Korea," Ecol. Informatics, 5, 281-292 (2010). https://doi.org/10.1016/j.ecoinf.2010.05.004
  9. Jung, K., Lee, K., Im, T., Lee, I., Kim, S., Han, K. and Ahn, J., "Evaluation of water quality for the Nakdong river watershed using multivariate analysis," Environ. Technol. Innovat., 5, 67-82(2016). https://doi.org/10.1016/j.eti.2015.12.001
  10. Kim, M.-S., Chung, Y.-R., Suh, E.-H. and Song, W.-S., "Eutrophication of Nakdong River and Statistical Analysis of Environmental Factors," Algae, 17(2), 105-115(2002). https://doi.org/10.4490/ALGAE.2002.17.2.105
  11. Park, J.-H., Moon, M.-J., Lee, H.-J. and Kim, K.-S., "A Study on Characteristics of Water Quality using Multicariate Analysis in Sumjin River Basin," J. Korean Soc. Water Environ., 30(2), 119-127(2014). https://doi.org/10.15681/KSWE.2014.30.2.119
  12. Abahams, A. D., "Factor analysis of drainage basin properties: Evidence for stream abstraction accompanying the degradation of relief," Water Resour., 8(3), 624-633(1972). https://doi.org/10.1029/WR008i003p00624
  13. Karim, B. and Taha F. M., "Using principal component analysis to monitor spatial and temporal changes in water quality," J. Hazard. Mater. B, 100, 179-195(2003). https://doi.org/10.1016/S0304-3894(03)00104-3
  14. Bernard, P., Antoine, L. and Bernard, L., "Principal component analysis an appropriate tool for water quality evaluation and management application to a tropical lake system," Ecol. Model., 178, 295-311(2004). https://doi.org/10.1016/j.ecolmodel.2004.03.007
  15. Fang, H., Xiaoquan, W., Liping. L., Zhiqing, Z. and Jiaping, W., "Spatial variation and source apportionment of water pollution in Qiantang River (China) using statistical techniques," Water Res., 44, 1562-1572(2010). https://doi.org/10.1016/j.watres.2009.11.003
  16. Homa, R., Ahmad, A. and Atoob, T. "Evaluation of spatial and temporal variation in water quality by pattern recognition techniques: A case study on Jajrood River (Tehran, Iran)," J. Environ. Manag., 91, 852-860(2010). https://doi.org/10.1016/j.jenvman.2009.11.001
  17. Park, J. S. and Rhee, K. H. "Study on characteristics of water quality variation in the Yeongsan River using Multivariate Analysis," J. Korean Soc. Water Sci. Technol., 20(2), 61-72(2012).
  18. Kim, G. H., Jung, K. Y., Yoon, J. S. and Cheon, S. U. "Temporal and spatial analysis of water quality data observed in lower watershed of Nam river dam," J. KOSHAM, 13(6), 429-437(2013).
  19. Park, H. S., Park, C. K., Song, M. K., Baek, K. H. and Shin, S. K., "Evaluation of water quality characteristics using factor analysis in the Nakdong river," J. Korean Karnataka, India. Water Res., 36, 2437-2442(2001).
  20. Song, E. S., Jeon, S. M., Lee, E. J., Park, D. J. and Shin, Y. S., "Long-term trend analysis of chlorophyll a and water quality in the Yeongsan River," Korean J. Limnol., 45(3), 302-313(2012).
  21. Smith, Y. H., "Predictive models for the biomass of blue green algae in lakes," J. Am. Water Resour. Assoc., 21(3), 433-439(1985). https://doi.org/10.1111/j.1752-1688.1985.tb00153.x
  22. Smith, V. H., "Low nitrogen to phosphorus ratios favor dominance by blue-green algae in lake phytoplankton," Sci., 221(4611), 669-671(1983). https://doi.org/10.1126/science.221.4611.669
  23. Xie, L., Xie, P., Li, S., Tang, H. and Liu, H., "The low TN : TP ratio, a cause or a result of Microcystis bloom?," Water Res., 37(9), 2073-2080(2003). https://doi.org/10.1016/S0043-1354(02)00532-8
  24. Kim, T.-K., Choi, J.-H., Lee, K.-J., Kim, Y.-B. and Yu, S.-J., "Study on Introduction to Predicting Indicator of Cyanobacteria Dominance in Algae Bloom Warning System of Hangang Basin," J. Korean Soc. Environ. Eng., 36(5), 378-385(2014). https://doi.org/10.4491/KSEE.2014.36.5.378
  25. Park, S.-B., Lee, S.-K., Chang, K.-H., Jeong, K.-S. and Joo, G.-J., "The Impact of monsoon Rainfall (Changma) on the Changes of Water Quality in the Lower Nakdong River (Mulgeum)," Korean J. Limnol., 35(3), 160-171(2002).

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