대한환경공학회지 (Journal of Korean Society of Environmental Engineers)

  • 제37권5호
  • /
  • Pages.253-261
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  • 2015
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  • 1225-5025(pISSN)
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  • 2383-7810(eISSN)
대한환경공학회 (Korean Society of Environmental Engineers)
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다중회귀분석을 이용한 낙동강 하류의 Chlorophyll-a 농도와 복합 영향인자들의 상관관계 분석

Evaluation of Correlation between Chlorophyll-a and Multiple Parameters by Multiple Linear Regression Analysis

  • 임지성 (부산대학교 사회환경시스템공학부) ;
  • 김영우 (부산대학교 사회환경시스템공학부) ;
  • 이재호 (부산대학교 사회환경시스템공학부) ;
  • 박태주 (부산대학교 사회환경시스템공학부) ;
  • 변임규 (부산대학교 환경기술.산업개발연구소)
  • Lim, Ji-Sung (Department of Civil and Environmental Engineering, Pusan National University) ;
  • Kim, Young-Woo (Department of Civil and Environmental Engineering, Pusan National University) ;
  • Lee, Jae-Ho (Department of Civil and Environmental Engineering, Pusan National University) ;
  • Park, Tae-Joo (Department of Civil and Environmental Engineering, Pusan National University) ;
  • Byun, Im-Gyu (Institute for Environmental Technology and Industry, Pusan National University)
  • 투고 : 2015.03.23
  • 심사 : 2015.05.11
  • 발행 : 2015.05.31
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초록

1998년부터 2008년까지 낙동강 물금지점의 수질, 수리 및 기상 인자를 통해 조류발생의 주요 영향인자를 평가하고 chlorophyll-a (chl-a) 예측 모델을 도출하였다. 분석 전 데이터의 신뢰도 향상을 위해 이상치를 제거하는 전처리 과정을 수행하였다. 국내 태풍영향기간을 산정하여 태풍영향기간에 포함된 데이터는 제외를 하였고 관리도 기법을 적용하여 이상치를 제거하였다. 이후 분석과정은 Method 1과 2 두 가지 방법으로 나뉘었다. Method 1은 전처리 과정을 거친 17개 항목의 데이터를 직접 이용하여 chl-a 예측모형을 도출 하였고, Method 2는 전처리 후 주요 영향인자를 도출하여 이를 통해 모형을 개발하였다. Method 2의 상관관계 분석결과 물금지역의 chl-a에 대한 주요영향인자는 수온, pH, DO, BOD, COD, T-N, $NO_3-N$, $PO_4-P$, 유량, 유속 및 수심으로 나타났다. Method 1, 2에 의한 chl-a 회귀모형은 각각 $R^2$ 값이 0.799 및 0.790의 높은 유의성을 나타내었고 2009~2010년의 데이터로 검증하였다. Method 1에 의한 chl-a 예측모형의 training period와 validation period의 RMSE 값은 각각 20.912와 24.423으로 나타났으며 Method 2를 통한 모델은 각각 21.422 및 26.277을 나타냈다. 예측 모형 도출 결과 Method 1 및 2 모두 BOD, DO 및 $PO_4-P$ 세 가지 인자가 주요한 역할을 한 것을 볼 때 향후 물금 지점의 조류 발생은 BOD, DO 및 $PO_4-P$를 중점적으로 관리할 필요가 있다고 판단된다.

In this study, Chlorophyll-a (chl-a) prediction model and multiple parameters affecting algae occurrence in Mulgeum site were evaluated by statistical analysis using water quality, hydraulic and climate data at Mulgeum site (1998~2008). Before the analysis, control chart method and effect period of typhoon were adopted for improving reliability of the data. After data preprocessing step two methods were used in this study. In method 1, chl-a prediction model was developed using preprocessed data. Another model was developed by Method 2 using significant parameters affecting chl-a after data preprocessing step. As a result of correlation analysis, water temperature, pH, DO, BOD, COD, T-N, $NO_3-N$, $PO_4-P$, flow rate, flow velocity and water depth were revealed as significant multiple parameters affecting chl-a concentration. Chl-a prediction model from Method 1 and 2 showed high $R^2$ value with 0.799 and 0.790 respectively. Validation for each prediction model was conducted with the data from 2009 to 2010. Training period and validation period of Method 1 showed 20.912 and 24.423 respectively. And Method 2 showed 21.422 and 26.277 in each period. Especially BOD, DO and $PO_4-P$ played important role in both model. So it is considered that analysis of algae occurrence at Mulgeum site need to focus on BOD, DO and $PO_4-P$.

키워드

참고문헌

  1. Hwang, D. J., Lee, H. J., Yoon, J. S., Heo, S. N., Im, T. H., Kwon, Y. H., Shin, C. K. and Kim, H. W., "Study on Ecological Characteristic of Algal Species Forming Bloom during Spring-Winter Season in the Nakdong River(II)," Nakdong River Environment Research Center and Sunchon national University(2007).
  2. Son, H. J., "Changes of Dominaat Phytoplankton community in Downstream of the Nakdong River: From 2002 to 2012," J. Korean Soc. Environ. Eng., 35(4), 283-293(2013). https://doi.org/10.4491/KSEE.2013.35.4.283
  3. Lee, C. S., Ahn, C. Y., La, H. J., Lee, S. H. and Oh, H. M., "Technical and Strategic Approach for the Control of cyanobacterial Bloom in Fresh Waters," Korean J. Environ. Biol., 31(4), 232-242(2013).
  4. Kim, H. B., Park, H. K., Shin, K. D. and Moon, J. S., "The Characteristics of Toxin Production in the Korean Toxic Cyanobacteria," J. Korean Soc. Water Qual., 26(5), 834-840(2010).
  5. Lee, K. L., Jheong, W. H., Kim, J. M., Kim, Y. S., Choi, H. J. and Kim, H. S., "Seaonal Variations of cyanobacterial Toxins (microcystins) in Yeongchun Reservoir," Korean J. Limnol., 41(2), 264-274(2008).
  6. Nakdong River Basin Environmental Office, "Analysis of hydraulic characteristics and development of hydraulic modeling technology for total water pollution management for the Nakdong river," Final report(2006).
  7. Park, H. K., "Survey Method relating Freshwater Phytoplankton for the Management of Water Resources," J. Korean Soc. Environ. Eng. Special Feature, 29(6), 593-609(2012).
  8. Joung, S. H., Park, H. K., Lee, H. J. and Lee, S. H., "Effect of Climate Change for Diatom Bloom at Winter and Spring Season in Mulgeum Station of the Nakdong River, South Kroea," J. Korean Soc. Water Environ., 29(2), 155-164(2013).
  9. 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
  10. Chung, J. M., Choi, C. M. and Moon, S. G., "The Structure of Phytoplankton community in the Middle-Lower Part of the Naktong River," J. Korean Environ. Sci. Soc., 10(1), 41-45(2001).
  11. Cho, K. H., Kang, J. H., Ki, S. J., Park, Y. E., Cha, S. M. and Kim, J. H., "Determination of the optimal parameters in regression models for the prediction of Chlorophyll-a : A case study of the Yeongsan Reservoir, Korea," Sci. Total Environ., 407, 2536-2545(2009). https://doi.org/10.1016/j.scitotenv.2009.01.017
  12. Kim, J. A., Kim, G. A., Yun, C. J., Park, H. G., Jung, E. Y., Cha, D. J., Choi, J. T. and Son, H. J., "A study on the Correlation between Odorous Compounds, Actinomycetes and Algae in Drinking Water Source of Nakdong River," J. Korean Soc. Environ. Eng., 35(3), 213-219(2013). https://doi.org/10.4491/KSEE.2013.35.3.213
  13. Cao, C., Zheng, B., Chen, Z., Huang, M., Zhang, J., "Eutrophication and algal blooms in channel type reservoirs : A novel enclosure experement by changing light intensity," J. Environ. Sci., 23(10), 1660-1670(2011). https://doi.org/10.1016/S1001-0742(10)60587-6
  14. David, M. B., "Suspended chlorophyll in the River Nene, a small nutrient-rich in eastern England: long-term and spatial trends," Sci. Total Environ., 251/252, 401-421(2000). https://doi.org/10.1016/S0048-9697(00)00419-8
  15. Cao, C., Zheng, B., Chen, Z., Huang, M. and Zhang, J., "Eutrophication and algal blooms in channel type reservoirs: A novel enclosure experiment by changing light intensity," J. Environ. Sci., 23(10), 1660-1670(2011). https://doi.org/10.1016/S1001-0742(10)60587-6
  16. Neal, C., Hilton, J., Andrew, J. W., Neal, M. and Wickham, H., "Chlorophyll-a in the rivers of eastern England," Sci. Total Environ., 365, 84-104(2006). https://doi.org/10.1016/j.scitotenv.2006.02.039
  17. Jeong, Y. H., Kim, H. S. and Yang, J. S., "Statistical Analyses of Long-Term water quality variation in the Geumgang-Reservoir; Focused on the TP Load by Migrating Birds Excrement," J. Korean Soc. Mar. Environ. Eng., 13(4), 223-233(2010).
  18. Yim, S. B., Kim, S. K., Seo, Y. S. and Park, S. H., "A study on Convergency of Tunnel Displacement using Control Chart Method," J. Eng. Geol., 17(2), 197-204(2007).
  19. Huang, W., Mukherjee, D. and Chen, S., "Assessment of Hurricane Ivan impact on chlorophyll-a in Pensacola Bay by MODIS 250 m remote sensing," Mar. Pollut. Bullet., 62, 490-498(2011). https://doi.org/10.1016/j.marpolbul.2010.12.010
  20. Rho, H. J., "Theory and Practice of Multivariate analysis by Excel and SPSS," pp. 244-261(2005).
  21. Seo, J. K., Lee, H. K. and Chung, I. K., "The Community Dynamics of Microbial Food Web during Algal Bloom by Stephanodiscus spp. in Downstream of Nakdong River," Korean J. Environ. Biol., 28(3), 172-178(2010).
  22. Cho, K. J. and Shin, J. K., "Persistent Blooms of Diatoms Stephanodiscus Hantzschii F. Tenuis and S. Parvus in the Naktong River," Korean J. Phycol., 10, 91-96(1995).
  23. Linda, E., Graham, James M. G. and Lee, W. W., ALGAE 2nd editioin(2009).
  24. Zheng, B. H., Cao, C. J., Qin, Y. W. and Huang, M. S., "Analysis of nitrogen distribution characters and their sources of the major input rivers of three gorges reservoir," Environ. Sci., 29(1), 1-6(2008).
  25. Hein, M.. "Inorganic carbon limitation of photosynthesis in lake phytoplankton," Fresh Water Biol., 37, 545-552(1997). https://doi.org/10.1046/j.1365-2427.1997.00180.x
  26. Guoqi, H., Zhimin, M. and Nancy, C., "Hurricane Igor impacts on the stratification and phytoplankton bloom over the Grand Banks," J. Mar. Systems, 100-101, 19-25(2012). https://doi.org/10.1016/j.jmarsys.2012.03.012

피인용 문헌

  1. Analysis of Water Quality factor and Correlation between Water Quality and Chl-a in Middle and Downstream Weir Section of Nakdong River vol.39, pp.2, 2017, https://doi.org/10.4491/KSEE.2017.39.2.89
  2. 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
  3. A Study on the Origin of Organic Matter in Seawater in Korean Estuaries Using Chemical Oxygen Demand vol.24, pp.6, 2018, https://doi.org/10.7837/kosomes.2018.24.6.735