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통계분석을 이용한 영산강·섬진강수계 주요 유입지천의 수질 특성

Water Quality Characteristics of the Major Tributaries in Yeongsan and Sumjin River Basin using Statistical Analysis

  • 박진환 (국립환경과학원 영산강물환경연구소) ;
  • 정재운 (국립환경과학원 영산강물환경연구소) ;
  • 김대영 (국립환경과학원 영산강물환경연구소) ;
  • 김갑순 (국립환경과학원 영산강물환경연구소) ;
  • 한성욱 (국립환경과학원 영산강물환경연구소) ;
  • 김현욱 (서울시립대학교 환경공학부) ;
  • 임병진 (국립환경과학원 영산강물환경연구소)
  • Park, Jinhwan (Yeongsan River Environment Research Center, National Institute of Environmental Research) ;
  • Jung, Jaewoon (Yeongsan River Environment Research Center, National Institute of Environmental Research) ;
  • Kim, Daeyoung (Yeongsan River Environment Research Center, National Institute of Environmental Research) ;
  • Kim, Kapsoon (Yeongsan River Environment Research Center, National Institute of Environmental Research) ;
  • Han, Sungwook (Yeongsan River Environment Research Center, National Institute of Environmental Research) ;
  • Kim, Hyunook (Division of Environmental Engineering, University of Seoul) ;
  • Lim, Byungjin (Yeongsan River Environment Research Center, National Institute of Environmental Research)
  • 투고 : 2013.02.06
  • 심사 : 2013.04.04
  • 발행 : 2013.04.30

초록

In this study, we report the water quality characteristics of pollutants for 4 major tributaries in the Yeongsan and Sumjin river basins using statistical analysis, such as regression equation and factor analysis. The flow rate and water qualtiy data collected from 4 sampling sites(Hwangryoung A, Jiseok A, Chooryeong A, Osu A) in the Yeonsan and Sumjin river basin during the past 3 years were analyzed for 11 parameters(flow rate, dissolved oxgen, pH, water temperature, electric conductivity, biochemical oxygen demand, chemical oxygen deman, total organic carbon, total nitorgen, total phosphorus, suspended solid). The results showed that the concentrations of BOD, COD, TOC, T-N, T-P in Hwangryoung A(HW) and Jiseok A(JS) of the Yeongsan river basin were decreased as the flow rate was increased. This means that rather than nonpoint soources, point sources affect water quality. In the cases of Chooryeong A(CR) and Osu A(OS) in the Sumjin river basin, howerever, nonpoint sources than point sources are an important factor that affects the water quality. Also, the factor analysis technique was employed to analyze principal component influencing on water quality. The results revealed that the first principal component in HW was correlated with EC, DO, T-N, water temperature. This "nitrogen influx according to seasonal pattern" factor may be interpreted. In JS, the first principal component was correlated with BOD, COD, TOC and is likely to represent "organic matter" processes. In CR and OS, BOD, COD, TOC, SS and T-P were significantly correlated and is considered as representing "Organic matter and adsorption of phosphorus on sediments influx". This study is expected to contribute to the effective pollution control/management of the surfac waters in the study sites.

키워드

참고문헌

  1. 건설교통부, 2004, 수문관측매뉴얼.
  2. 김영일, 이상진, 2011, 수질오염총량관리제 시행의 문제점과 개선방안 계획 수립시 고려사항, 대한환경공학회지, 33(6), 385-389.
  3. 김영주, 2003, 주성분분석에 의한 도시호수의 수질평가에 관한 연구, 환경관리학회지, 9(2), 197-203.
  4. 김요용, 이시진, 2011, 다변량 통계 분석기법을 이용한 한강수계 지천의 수질 평가, 대한환경공학회지, 33(7), 501-510.
  5. 김진수, 오승영, 김규성, 권순국, 2001, 관개기 광역논에서의 오염물질의 농도 특성, 한국농공학회, 43(6), 163-173.
  6. 박지형, 손수민, 류덕희, 2011, 경험식과 요인분석을 통한 오염물질 유출 특성 연구 -남한강 상.하류 수계 주요 하천을 중심으로-, 수질보전 한국물환경학회지, 27(6), 905-913.
  7. 박재현, 우보명, 1997, 산림유역내 강수로부터 계류수질에 미치는 영향인자 분석 -pH, 용존산소, 전기전도도-, 한국임학회지, 86(4), 489-501.
  8. 백경원, 정용태, 한건연, 송재우, 1996, 한강하류부 수질의 통계학적 해석, 한국수자원학회지, 29(2), 179-190.
  9. 유순주, 채민희, 황종연, 이재안, 박종겸, 최태봉, 2005, 담수 이후 용담호 영양상태 변동 요인 분석, 수질보전 한국물환경학회지, 21(4), 360-367.
  10. 윤양호, 박종식, 2000, 주성분분석에 의한 거금수도의 수질 환경 및 식물플랑크톤 변동 요인 해석, 한국환경과학회지, 9(1), 252-258.
  11. 유호식, 2002, 한강수질에 영향을 끼치는 요인들의 통계분석, 대한환경공학회지, 24(12), 2139-2150.
  12. 이형진, 공동수, 김상훈, 신기식, 박지형, 김벽익, 김성미, 장승현, 천세억, 2007, 남한강수계 저수기 수질변동 특성에 관한연구, 수질보전 한국물환경학회지, 23(6), 889-896.
  13. 장주형, 이형진, 김현구, 박지형, 김지호, 류덕희, 2010, 점오염원과 비점오염원 부하량 정량화를 위한 수질.유량 모니터링 개선, 수질보전 한국물환경학회지, 26(5), 860-870.
  14. 정상만, 임경호, 최정현, 2000, 금강지류 유역에서의 유출량과 오염부하량의 상관관계 분석, 한국수자원학회논문집, 33(5), 527-536.
  15. 정승원, 이진환, 유종수, 2003, 한강하류의 환경학적 연구 V. 식물플랑크톤 군집의 대발생 특징, 한국조류학회지, 18(4), 255-262.
  16. 최한규, 백경원, 최용물, 오기호, 2002, 유량변동에 따른 소양강무역 수질의 통계학적 해석, 대한토목학회논문집, 22(2), 117-124.
  17. 환경부, 2008, 수질오염공정시험법.
  18. 환경부, 2009, 수질오염총량관리를 위한 목표수질/유량측정사업 통합운영지침.
  19. Bernard, P., Antoine, L. and Bernard, L. 2004, Principal Component Analysis an Appropriate Tool for Water Quality Evaluation and Management application to a Tropical Lake System, Ecological Modeling, 178, 295-311. https://doi.org/10.1016/j.ecolmodel.2004.03.007
  20. Colston, N. V., 1974, Characterization and treatment of urban land runoff, U.S. EPA-670/2-74-096.
  21. Dolan, D. M., A. K. Yui, and R. D. Geist., 1981, Evaluation of River Load Estimation Methods for Tatal Phosphorus, J. Great Lakes Res, 7(3), 207-214. https://doi.org/10.1016/S0380-1330(81)72047-1
  22. Karim, B. and Taha, F. M. 2003, Using Principal Component Analysis to Monitor Spatial and Temporal Changes in Water Quality, Journal of Hazardous Materials, B100, 179-195.
  23. Petersen, W., Bertino, L., callies, U. and Zorita, E. 2001, Process Identification by Principal Componebt Analysis of River Water Quality Data, Ecologyical Modeling, 138, 293-213.
  24. Ying, O. 2005, Evaluation of River Water Monitoring Stations by Principal Component Analysis, Water Research, 39, 2621-2635. https://doi.org/10.1016/j.watres.2005.04.024

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  1. Application of Regression Analysis Model to TOC Concentration Estimation - Osu Stream Watershed - vol.23, pp.3, 2014, https://doi.org/10.14249/eia.2014.23.3.187
  2. A Study on Characteristics of Water Quality using Multivariate Analysis in Sumjin River Basin vol.30, pp.2, 2014, https://doi.org/10.15681/KSWE.2014.30.2.119
  3. Assessment of Spatiotemporal Water Quality Variation Using Multivariate Statistical Techniques: A Case Study of the Imjin River Basin, Korea vol.39, pp.11, 2017, https://doi.org/10.4491/KSEE.2017.39.11.641
  4. Analysis of Water bady Damage at Osu Stream Using the Flow-Loading Equation and 8-Day Intervals Cumulative Flow Duration Curve vol.27, pp.12, 2018, https://doi.org/10.5322/JESI.2018.27.12.1179
  5. 광주지역 주요하천에서 TOC 특성과 수질오염지표와의 상관성에 관한 연구 vol.33, pp.2, 2013, https://doi.org/10.15681/kswe.2017.33.2.203
  6. 시계열 부하 곡선을 이용한 수체손상 평가 및 다변량 분석 -지석천 유역을 대상으로- vol.33, pp.6, 2013, https://doi.org/10.15681/kswe.2017.33.6.650
  7. 유량-오염부하량 관계식과 요인분석을 이용한 경안천의 수질특성 평가 vol.4, pp.4, 2013, https://doi.org/10.17820/eri.2017.4.4.226
  8. 임진강 유역 오염물질 총량관리를 위한 유량-수질 자료의 통계분석 vol.27, pp.4, 2013, https://doi.org/10.14249/eia.2018.27.4.353