Water Quality Analysis of the Songhua River Basin Using Multivariate Techniques
Yang LI, Linyu XU, Shun LI
DOI: 10.4236/jwarp.2009.12015   PDF    HTML     10,781 Downloads   21,638 Views   Citations


Multivariate statistical techniques, including cluster analysis (CA), principal component analysis (PCA), factor analysis (FA) and discriminant analysis (DA), were used to evaluate temporal and spatial variations and to interpret a large and complex water quality data sets collected from the Songhua River Basin. The data sets, which contained 14 parameters, were generated during the 7-year (1998-2004) monitoring program at 14 different sites along the rivers. Three significant sampling locations (less polluted sites, moderately polluted sites and highly polluted sites) were detected by CA method, and five latent factors (organic, inor-ganic, petrochemical, physiochemical, and heavy metals) were identified by PCA and FA methods. The re-sults of DA showed only five parameters (temperature, pH, dissolved oxygen, ammonia nitrogen, and nitrate nitrogen) and eight parameters (temperature, pH, dissolved oxygen, biochemical oxygen demand, ammonia nitrogen, nitrate nitrogen, volatile phenols and total arsenic) were necessarily in temporal and spatial varia-tions analysis, respectively. Furthermore, this study revealed the major causes of water quality deterioration were related to inflow of effluent from domestic and industrial wastewater disposal.

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Y. LI, L. XU and S. LI, "Water Quality Analysis of the Songhua River Basin Using Multivariate Techniques," Journal of Water Resource and Protection, Vol. 1 No. 2, 2009, pp. 110-121. doi: 10.4236/jwarp.2009.12015.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] B. A. Helena, M. Vega, E. Barrado, R. Pardo, and L. Fernandez, “A case of hydrochemical characterization of an alluvial aquifer influenced by human activities,” Water, Air, and Soil Pollution, Vol. 112, No. 3, pp. 365-387, 1999.
[2] W. Dixon and B. Chiswell, “Review of aquatic monitoring program design,” Water Research, Vol. 30, No. 9, pp. 1935-1948, 1996.
[3] D. Chapman, “Water quality assessment,” Chapman & Hall Press, London, 1992.
[4] S. B. Jonnalagadda and G. Mhere, “Water quality of the Odzi river in the eastern highlands of Zimbabwe,” Water Research, Vol. 35, No. 10, pp. 2371-2376, 2001.
[5] J. Zhang, S. E. Jorgensen, C. O. Tan, and M. Beklioglu, “A structurally dynamic modelling-Lake Mogan, Turkey as a case study,” Ecological Modelling, Vol. 164, No. 2, pp. 103-120, 2003.
[6] Y. T. Liou and S. L. Lo, “A fuzzy index model for trophic status evaluation of reservoir waters,” Water Research, Vol. 39, No. 7, pp. 1415-1423, 2003.
[7] C. O. Tan and M. Beklioglu, “Catastrophic-like shifts in shallow Turkish lakes: A modeling approach,” Ecological Modelling, Vol. 183, No. 4, pp. 425-434, 2005.
[8] M. E. Borsuk and C. A. Stow, “Bayesian parameter estimation in a mixed-order model of BOD decay,” Water Research, Vol. 34, No. 6, pp. 1830-1836, 2000.
[9] M. Vega, R. Pardo, E. Barrado, and L. Debán, “Assessment of seasonal and polluting effects on the quality of river water by exploratory data analysis,” Water Research, Vol. 32, No. 12, pp. 3581-3592, 1998.
[10] V. Simeonov, J. A. Stratis, C. Samara, G. Zachariadis, D. Voutsa, A. Anthemidis, M. Sofoniou, and T. Kouimtzis, “Assessment of the surface water quality in Northern Greece,” Water Research, Vol. 37, No. 17, pp. 4119-4124, 2003.
[11] K. P. Singh, A. Malik, and S. Sinha, “Water quality assessment and apportionment of pollution sources of Gomti river (India) using multivariate statistical techniques: A case study,” Analytica Chimica Acta, Vol. 538, No. 1-2, pp. 355-374, 2005.
[12] T. Kowalkowskia, R. Zbytniewskia, J. Szpejnab, and B. Buszewski, “Application of chemometrics in river water classification,” Water Research, Vol. 40, No. 4, pp. 744-752, 2006.
[13] H. Boyacioglu, “Water pollution sources assessment by multivariate statistical methods in the Tahtali Basin, Turkey,” Environmental Geology, Vol. 54, No. 2, pp. 275-282, 2008.
[14] L. L. Ren, M. R. Wang, C. H. Li, and W. Zhang, “Impacts of human activity on river runoff in the northern area of China,” Journal of Hydrology, Vol. 261, No. 3, pp. 204-217, 2002.
[15] Ministry of Environmental Protection of China, “Planning of comprehensive water pollution control the Songhua River Basin,” 2006.
http://wirmc.sepa.gov.cn/ info/hbdxj/200612/W020061207298075130105.pdf.
[16] D. A. Wunderlin, M. P. Diaz, M. V. Ame, S. F. Pesce, A. C. Hued, and M. A. Bistoni, “Pattern recognition techniques for the evaluation of spatial and temporal variations in water quality. A case study: Suquia river basin (Cordoba, Argentina),” Water Research, Vol. 35, No. 12, pp. 2881-2894, 2001.
[17] S. A. A. Wahab, C. S. Bakheit, and S. M. A. Alawi, “Principal component and multiple regression analysis in modelling of ground-level ozone and factors affecting its concentrations,” Environmental Modelling & Software, Vol. 20, No. 10, pp. 1263-1271, 2005.
[18] K. P. Singh, A. Malik, S. Sinha, D. Mohan, and S. Sinha, “Chemometric analysis of groundwater quality data of alluvial aquifer of Gangetic plain, North India,” Analytica Chimica Acta, Vol. 550, No. 1, pp. 82-91, 2005.
[19] C. W. Liu, K. H. Lin, and Y. M. Kuo, “Application of factor analysis in the assessment of groundwater quality in a Blackfoot disease area in Taiwan,” Science of the Total Environment, Vol. 313, No. 1, pp. 77-89, 2003.
[20] P. George, D. Gerasimoula, and L. Nicolaos, “A long-term study of temporal hydrochemical data in a shallow lake using multivariate statistical techniques,” Ecological Modelling, Vol. 193 No. 3, pp. 759-776, 2006.
[21] D. H. Wang, Y. Wang, and Z. Lin, “The control and damage of organic pollutant in Songhua River to the ecological environment,” Environmental Science and Management, Vol. 32, No. 6, pp. 67-69, 2007.
[22] Y. P. Liu, L. H. Wang, W. Liu, and Q. B. Liu, “Research of organic pollution’s character in Songhua River,” Environmental Science and Management, Vol. 31, No. 3, pp. 73-75, 2006.
[23] Q. L. Yang and T. Ma, “Water quality analysis and forecast of the Songhua River (Harbin),” Heilongjiang Science and Technology of Water Conservancy, Vol. 34, No. 1, pp. 71-74, 2006.
[24] L. M. Shen, C. K. Zhang, and H. K. Wang, “Water quality analysis of the Songhua River,” Heilongjiang Science and Technology of Water Conservancy, Vol. 35, No. 2, pp. 116-117, 2007.
[25] S. H. Guo, X. L. Wang, Y. Li, J. J. Chen, and J. C. Yang, “Investigation on Fe, Mn, Zn, Cu, Pb and Cd fractions in the natural surface coating samples and surficial sediments in the Songhua River, China”. Journal of Environmental Sciences, Vol. 18, No. 6, pp. 1193-1198, 2006.
[26] X. Q. Li, J. W. Zhang, Q. J. Wang, H. F. Zhang, and N. Qiu, “Analysis of mechanism of water purification by nature and strategy of protection of water environment in Songhua River through Harbin city,” Urban Environment & Urban Ecology, Vol. 16, No. 6, pp. 233-235, 2003.
[27] J. R. Liu, H. W. Dong, X. L. Tang, X. R. Sun, X. H. Han, B. Q. Chen, C. H. Sun, and B. F. Yang, “Genotoxicity of water from the Songhua River, China, in 1994–1995 and 2002–2003: Potential risks for human health,” Environmental Pollution, Vol. 157, No. 2, pp.357-364, 2009.
[28] S. K. Jiang and H. Liu, “Analysis for the present situation and development trend of the water quality in the downstream of Nenjiang River,” Jilin Water Resources, Vol. 265, No. 9, pp. 1-2, 2004.
[29] W. D. Yang and H. L. Jiang, “Cause analysis and control measure of water pollution in zhaoyuan section of Songhua River,” Environmental Science and Management, Vol. 32, No. 7, pp. 61-63, 2007.

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