Assessment of Water Quality of Euphrates River Using Cluster Analysis

Emad A. M. Salah, Ahmed M. Turki, Eethar M. Al-Othman

Department of Applied Geology, University of Anbar, Ramadi, Iraq.
Department of Biology, University of Anbar, Ramadi, Iraq.

DOI: 10.4236/jep.2012.312180                

Abstract

Multivariate statistical method including cluster analysis (CA) was used to assess temporal and spatial variations in the water quality of Euphrates River, Iraq, for a period 2008-2009 using 16 parameters at 11 sampling sites. Hierarchical CA grouped the 8 months into three periods (I, II and III) and classified the 11 sampling sites into two groups (I and II) based on similarities of water quality characteristics. The temporal pattern shows that April has higher pollution level relative to the other months. Spatially, sampling site 7 (S7) has lower pollution level while the other sampling sites have higher pollution level. Thus, this study shows usefulness of cluster analysis method for analyzing and interpreting of surface water dataset to assess the temporal and spatial variations in the water quality parameters and the optimization of regional water quality sampling network.

Keywords

Cluster Analysis; Surface Water; Euphrates River; Iraq

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	D. Otieno, “Determination of some Physico—Chemical Parameters of the Nairobi River, Kenya,” Journal of Applied Science Environmental Management, Vol. 12, No. 1, 2008, p. 57-62.
[2]	W. Dixon and B. Chiswell, “Review of Aquatic Monitoring Program Design,” Water Research, Vol. 30 , No. 9, 1996, pp. 1935-1948. doi:10.1016/0043-1354(96)00087-5
[3]	K. Singh, A. Malik, D. Mohan and S. Sinha, “Multi variate Statistical Techniques for the Evaluation of Spatial and temporal Variations in Water Quality of Gomti River (India)—A Case Study,” Water Research, Vol. 38, No. 18, 2004, pp. 3980-3992. doi:10.1016/j.watres.2004.06.011
[4]	Y. Ouyang, P. Nkedi-Kizza, Q. Wu and C. Huang, “Assessment of Seasonal Variations in Surface Water Quality,” Water Research, Vol. 40, No. 20, 2006, pp. 3800-3810. doi:10.1016/j.watres.2006.08.030
[5]	S. Shrestha and F. Kazama, “Assessment of Surface Water Quality using Multivariate Statistical Techniques: A Case Study of the Fuji River Basin, Japan,” Environmental Modeling & Software, Vol. 22, No. 4, 2007, pp. 464-475. doi:10.1016/j.envsoft.2006.02.001
[6]	P. Simeonova, V. Simeonova and G. Andreev, “Water Quality Study of the Struma River Basin, Bulgaria (1989-1998),” Central European Journal of Chemistry, Vol. 1, No. 2, 2003, pp. 136-212.
[7]	E. Fataei and S. Shiralipoor, “Evaluation of Surface Water Quality Using Cluster Analysis: A Case Study,” World Journal of Fish and Marine Sciences, Vol. 3, 2011, pp. 366-370.
[8]	D. Wunderlin, M. Diaz, M. Ame, S. Pesce, A. Hued and M. 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, 2001, pp. 2881-2894. doi:10.1016/S0043-1354(00)00592-3
[9]	J. Grande, J. Borrego, J. Morales and M. De La Torre, “A Description of Show Metal Pollution Occurs in the Tinto —Odiel Rias (Huelva-Spain) through the Application of Cluster Analysis,” Marine Pollution Bulletin, Vol. 46, No. 4, 2003, pp. 475-480. doi:10.1016/S0025-326X(02)00452-6
[10]	C. Iscen, ?. Emiroglu, S. Ilhan, N. Arslan, V. Yilmaz and S. Ahiska, “Application of Multivariate Statistical Techniques in the Assessment of Surface Water Quality in Uluabat Lake, Turkey,” Environmental Monitoring and Assessment, Vol. 144, No. 1-3, 2008, pp. 269-276. doi:10.1007/s10661-007-9989-3
[11]	A. Alkarkhi, A. Ahmad and A. Easa, “Assessment of Surface Water Quality of Selected Estuaries of Malaysia: Multivariate Statistical Techniques,” Environmentalist, Vol. 29, No. 3, 2009, pp. 255-262. doi:10.1007/s10669-008-9190-4
[12]	I. Gupta, S. Dhage and R. Kumar, “Study of Variations in Water Quality of Mumbai Coast through Multivariate Analysis Techniques,” Indian Journal of Marine Sciences, Vol. 38, No. 2, 2009, pp. 170-177.
[13]	Q. Zhang, Z. Li, G. Zeng, J. Li, Y. Fang, Q. Yuan, Y. Wang and F. Ye, “Assessment of Surface Water Quality Using Multivariate Statistical Techniques in Red Soil Hilly Region: A Case Study of Xiangjiang Watershed, China,” Environmental Monitoring and Assessment, Vol. 152, No. 1-4, 2009, pp. 123-131. doi:10.1007/s10661-008-031-y
[14]	S. Thareja and P. Trivedi, “Assessment of Water Quality of Bennithora River In Karnataka through Multivariate Analysis,” Nature and Science, Vol. 8, No. 6, 2010, pp. 51-56.
[15]	A. Ato, O. Samuel, Y. Oscar, P. Moi and B. Akoto, “Mining and Heavy Metal Pollution: Assessment of Aquatic Environments in Tarkwa (Ghana) Using Multi variate Statistical Analysis,” Journal of Environmental Statistics, Vol. 1, No. 4, 2010, pp. 1-13.
[16]	S. Shivani, S. Anulool, M. Negi and P. Tandon, “Evalu ation of Effect of Drains on Water Quality of River Gomti in Lucknow City Using Multivariate Statistical Tech niques,” International Journal of Environmental Sciences, Vol. 2, No. 1, 2011, pp. 1-7.
[17]	E. Fataei, “Assessment of Surface Water Quality Using Principle Component Analysis and Factor Analysis,” World Journal of Fish and Marine Sciences, Vol. 3, No. 5, 2011, pp.159-166.
[18]	S. Yerel and H. Ankara, “Application of Multivariate Statistical Techniques in the Assessment of Water Quality in Sakarya River, Turkey,” Journal Geological Society of India, Vol. 79, 1, 2012, pp. 89-93. doi:10.1007/s12594-012-0019-x
[19]	A. Mustapha, “Identification of Anthropogenic Influences on Water Quality of Jakara River, Northwestern Nigeria,” Journal of Applied Sciences in Environmental Sanitation, Vol. 7, No. 1, 2012, pp. 11-20.
[20]	E. Singovszka and M. Balintova, “Application Factor Analysis for the Evaluation Surface Water and Sediment Quality,” Chemical Engineering Transactions, Vol. 26, 2012, pp.183-188. DI: 10.3303/CET1226031.
[21]	American Public Health Association, “Standard Methods for the Examination of Water & Wastewater,” 20th Edition, Washington DC, 1998.
[22]	K. McGarial, S. Cushman and S. Stafford, “Multivariate Statistics for Wildlife and Ecology Research,” Springer, New York, 2000. doi:10.1007/978-1-4612-1288-1
[23]	J. Lattin, D. Carroll and P. Green, “Analyzing Multi variate Data,” Duxbury, New York, 2003.
[24]	J. McKenna, “An Enhanced Cluster Analysis Program with Bootstrap Significant Testing for Ecological Com munity Analysis,” Environmental Modeling and Software, Vol. 18, No. 3, 2003, pp. 205-220. doi:10.1016/S1364-8152(02)00094-4
[25]	M. Otto, “Multivariate Methods,” In: R. Kellner, J. M. Mermet, M. Otto and H. M. Widmer, Eds., Analytical Chemistry, Wiley-VCH, Weinheim, 1998.
[26]	B. Tabachnick and L. Fidell, “Using Multivariate Sta tistics,” Harper Collins College Publishers, New York, 1996.
[27]	C. Liu, K. Lin and Y. Kuo, “Application Factor Analysis in the Assessment of Groundwater Quality in the Black foot Disease Area in Taiwan,” Science of the Total Environment, Vol. 313, No. 1-3, 2003, pp. 77-89. doi:10.1016/S0048-9697(02)00683-6
[28]	E. Al-Heety, A. Turky and E. Al-Othman, “Physico Chemical Assessment of Euphrates River between Heet and Ramadi Cities, Iraq,” Journal of Water Resource and Protection, Vol. 3, No. 11, 2011, pp. 812-823. doi:10.4236/jwarp.2011.311091
[29]	K. Singh, A. Malik, D. Mohan 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, 2005, pp. 355-374. doi:10.1016/j.aca.2005.02.006
[30]	Reghunath, T. Murthy and B. Raghavan, “The Utility of Multivariate Statistical Techniques in Hydro-geochemical Studies: An Example from Karnataka, India,” Water Research, Vol. 36, No. 10, 2002, pp. 2437-2442. doi:10.1016/S0043-1354(01)00490-0