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http://dx.doi.org/10.11614/KSL.2012.45.4.368

Evaluation of Pollutant Characteristics in Yeongsan River Using Multivariate Analysis  

Jung, Soojung (Yeongsan River Environment Research Center, National Institute of Environmtental Research)
Lee, Dongjin (Yeongsan River Environment Research Center, National Institute of Environmtental Research)
Hwang, Kyungsup (Yeongsan River Environment Research Center, National Institute of Environmtental Research)
Lee, Kyounghee (Yeongsan River Environment Research Center, National Institute of Environmtental Research)
Choi, Kyoungchuk (Yeongsan River Environment Research Center, National Institute of Environmtental Research)
Im, Sangsun (Yeongsan River Environment Research Center, National Institute of Environmtental Research)
Lee, Yunhee (Yeongsan River Environment Research Center, National Institute of Environmtental Research)
Lee, Jaeyoung (Yeongsan River Environment Research Center, National Institute of Environmtental Research)
Lim, Byoungjin (Yeongsan River Environment Research Center, National Institute of Environmtental Research)
Publication Information
Abstract
This study evaluated the water quality of Yeongsan River by multivariate analysis using the data collected during 2001~2010. Water quality in Yeongsan River could be explained up to 75.2% by four factors, which were included in loading of nutrients (32.021%) and organic matters (17.453%), seasonal variation (14.775%) and microbes (10.951%). The results of cluster analysis were classified into three groups by factor 1 and 2, which has different water quality characteristics. Group 1 included sampling stations located in the upper stream and estuary dyke of Yeongsan River, group 2 included Gwangju 1 and Gwangsan affected by domestic sewage of Gwangju-cheon, and group 3 included sampling stations located in the midstream around the livestock farm and farmland.
Keywords
multivariate analysis; principal component analysis; factor analysis; cluster analysis;
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Times Cited By KSCI : 3  (Citation Analysis)
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1 Jin, Y.H. and S.C. Park. 2006. Study on the discharge characteristics of non-point pollutant source in the urban area of the Youngsan river basin. Journal of Korean Society on Water Environment 22(4): 605-613.
2 Jung, S.M., J.S. Eum, C.W. Jang, Y.S. Choi and B.C. Kim. 2012. Characteristics of nonpoint source pollution and relationship between land use and nutrient concentrations in the Han River watershed. Journal of Korean Society on Water Environment 28(2): 255-268.
3 Kang, S.A. and K.G. Ahn. 2006. Spatio-temporal variation analysis of physic-chemical water quality in the Yeongsan- river watershed. Korean Journal of Limnology 39(1): 73-84.
4 Kannel, P.R., S.H. Lee, S. Kanel and S.P. Khan. 2007. Chemometric application in classification and assessment of monitoring locations of an urban river system. Analytica Chimica Acta 582: 390-399.   DOI   ScienceOn
5 Karim, B. and F.M. Taha. 2003. Using principal component analysis to monitor spatial and temporal changes in water quality. Journal of Hazardous Materials 100: 179-195.   DOI   ScienceOn
6 Kim, G.A., Y.J. Kim, M.J. Song, K.W. Ji, P.J. Yu and C.W. Kim. 2007. Evalution of water quality characteristics in the Nakdong River using multivariate analysis. Journal of Korean Society on Water Environment 23(6): 814-821.
7 Kim, J.K. 2002. Evalution of water quality in the Kuem River using statistics analysis. Journal of the Environmental Sciences 11(12): 1281-1289.   DOI   ScienceOn
8 Kim, M.A., J.K. Lee and K.D. Cho. 2007. Evaluation of the Guem River by multivariate analysis: Principle component analysis and factor analysis. Journal of Korean Society on Water Environment 23(1): 161-168.
9 Kim, M.A., T.G. Kang, H. Lee, Y.N. Shin and K.H. Kim. 2012. Analysis of pollutant characteristics in Nakdong River using confirmatory. Journal of Korean Society on Water Environment 28(1): 84-93.
10 Kim, Y.J. and H.G. Kim. 2007. Environmental statistics. Dongwha.
11 Kim, Y.Y. and S.J. Lee. 2011. Evaluation of water quality for the Han River tributaries using multivariate analysis. Journal of KSSE 33(7): 501-510.
12 Ministry of Environment, Water Information System. http: //water.nier.go.kr/.
13 Park, J.H., D.H. Rhew and D.I. Jung. 2011. Water quality status of the unit watersheds in the Yeongsan/Seomjin river basin since the management of total maximum daily loads analysis- Case study of the upper and lower watershed of South Han River. Journal of Korean Society on Water Environment 27(5): 719-728.
14 Park, J.H., J.D. Park, D.H. Rhew and D.I. Jung. 2009. Performance appraisal of total maximum daliy loads: Performance on development/reduction plan and water quality status of unit watershed. Journal of Korean Society on Water Environment 25(4): 750-751.
15 Park, J.H., S.M. Sohn and D.H. Rhew. 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.
16 Park, J.S. and K.H. Rhee. 2012. Study on characteristics of water quality variation in the Yeongsan river using multivariate analysis. Journal of Korean Society of Water Science and Technology 20(2): 61-72.
17 Park, L.J., C.M. Shin, K.S. Shin, J.H. Min and E.H. Na. 2012. Analysing impacts of Gwangju WWTP effluents quality in Yeongsan river. Korean Water Congress 2012 of Korean Society on Water Environment 750-751.
18 Shrestha, S. and F. Kazama. 2007. Assessment of surface water quality using multivariate statistical techques: A case study of the Fuji river basin, Japan. Environmental Modelling & Software 22: 464-475.   DOI   ScienceOn
19 Razmkhah, H., A. Abrishamchi and A. Torkian. 2010. Evaluation of spatial and temporal variation in water quality by pattern recognition: A case study on Jajrood river (Tehran, Iran). Journal of Environmental Management 91: 852-860.   DOI   ScienceOn
20 Shen, Y., J. LU, D. Chen and Y. Shi. 2011. Response of stream pollution charcteristics to catchment land cover in Cao-E river basin, China. Pedoshere 21(1): 115-123.   DOI   ScienceOn
21 Singh, K.P., A. Malik, D. Mohan and S. Sinha. 2004. Multivariate statistical techniques for the evaluation of spatial and temporal variations in water quality of Gomti River (India)-a case study. Water Research 38: 3980-3992.   DOI   ScienceOn
22 Song, E.S., S.M. Jeon, E.J. Lee, D.J. Park and Y.S. Shin. 2012. Long-term trend analysis of chlorophyll a and water quality in the Yeongsan river. Korean Journal of Limnology 45(3): 302-313.
23 Xu, H.S., Z.X. Xu, W. Wu and F.F. Tang. 2012. Assessmnet and spatiotemporal variation analysis of water quality in the Zhangweinan River basin, China. Procedia Environmental Sciences 13: 1641-1652.   DOI   ScienceOn