Qualitative classification and determining pollution sources of Iran’s Talkherud river using multivariate statistical methods
Paper Details
Qualitative classification and determining pollution sources of Iran’s Talkherud river using multivariate statistical methods
Abstract
This researchwas carried out for qualitative evaluation of Talkherud which is located in northwest Iran in East Azerbaijan Province. The sampling has been conducted on 13 physical and chemical parameters at eight stations within one year. The results obtained from the measurements were analyzed using multivariate cluster analysis (CA). With respect to the obtained results of cluster analysis, the studied stations were divided into three groups: (a) High Pollution(HP), (b) Middle Pollution(MP), and (c) Low Pollution (LP). The stations which were alike in amount of pollution fell into one group. This showed the difference in pollution sources and the amount of pollution in different regions of the river. The study of the differences between the mentioned groups shows, that in terms of assessed parameters, there is no significant difference between the stations in each cluster. While based on most assessment parameters, there was a significant difference among the clusters at the 5% and 1% probability levels. The total results of this study show the usefulness of multivariate statistical techniques in the interpretation of multiple datasets, qualitative evaluation of water, and the identification of pollution sources and causes.
Karimian A. 2006. Statistical analysis and determination of qualitative zones of Zohre River water using cluster analysis of similarities.MS thesis.Water and Wastewater. Khuzestan Science and Research University.
Janon Richard A, Wichern Dean W, Translated By, Niroomand A. 2000. applied multivariate statistical analysis. Mashhad, Mashhad Ferdowsi University Press.
Ghods Niroo Consulting Engineers. 2006.The project of the quality of water sources of Talkheroud Basin.Vol. III. Final hydrology report, East Azerbaijan Regional Water Association.
Zhang Qi, shiX, HuangB, Yu DS, Oborn I, BlombackA, Wang HJ, PagellaTF, Sinclair F.2007. Surface water quality of factory-based and vegetable-based Peri-urban areas in the Uangtze River delta region China, Catena69, 57-64. http://dx.doi.org/10.1016/j.catena.2006.04.012
Shingh KP, Malik A, MohanD, SinhaS. 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. http://dx.doi.org/10.1016/j.watres.2004.06.011
Boyacioglu HU, Boyacioglu H. 2007. Water pollution sources assessmentg by multivariate statistical methods in the Tahtali Basin, Turkey. Environmental Geology54, 275-282.
Zhang QI, LiZhongwu, ZengGuangmingLi, JianbingFang Y, Qingshui Y. 2009.Assessment of surface water quality using multivariatestatistical techniques in red soil hilly region, a case studyof Xiangjiang watershed, China. Environmental Monitoring and Assessment152,123–131. http://dx.doi.org/10.1007/s10661-008-0301-y
Fataei E, Monavari M, Hasani AH, Mirbagheri SA, Karbasi AH. 2010. Heavy metal and agricultural toxic monitoring in Garasou River in Iran for water quality assessment using multivariate statistical methods. Asian Journal of Chemistry 4,2991-3000.
Mckenna JE. 2003. An enhanced cluster analysis program with bootstrap significance testing for ecological community analysis. Environmental Modelling& Software 18(3),205-220. http://dx.doi.org/10.1016/S1364-8152(02)00094-4
Jolliffe IT. 1986. Principal Component Analysis.Springer-Verlag, p. 271.
Mohammadi SA, Prasanna BM.2003. Analysis of genetic diversity in crop plant salient statistical tools and considerations.Crop Science 43, 1235-1248. http://dx.doi.org/10.2135/cropsci2003.1235
Vega M, Pardo R, Barrado E, DebanL.1998. Water Research 32: 3581.
Otto M, Kellner R, Mermet JM, Widmer HM. 1998. Multivariate methods (Eds.). Analytical Chemistry. Wiley-VCH.Weinheim.
Laurie K, Manly BFJ.2005.Multivariate Statistical Methods. A Primer. Chapman. Hall.crc, 241 p.
Sundaray SK, Panda UC.2006. Multivariate statistical teqniques for the evaluation of spatial and temporal variations in water quality of the Mahanadi riverestuarine system, India. Journal Environ Geochem Health. waste water.19th edituion. USA.
Ebrahim Fataei, Hamed Hassan Pour Kourandeh (2013), Qualitative classification and determining pollution sources of Iran’s Talkherud river using multivariate statistical methods; JBES, V3, N8, August, P156-164
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