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Paper Information

Journal:   INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY (IJEST)   SUMMER 2011 , Volume 8 , Number 3 (31); Page(s) 581 To 592.
 
Paper: 

ASSESSMENT OF SEASONAL VARIATIONS OF CHEMICAL CHARACTERISTICS IN SURFACE WATER USING MULTIVARIATE STATISTICAL METHODS

 
 
Author(s):  ZARE GARIZI A., SHEIKH V.*, SADODDIN A.
 
* DEPARTMENT OF WATERSHED MANAGEMENT, GORGAN UNIVERSITY OF AGRICULTURAL SCIENCES AND NATURAL RESOURCES, GORGAN, IRAN
 
Abstract: 

Water pollution has become a growing threat to human society and natural ecosystems in the recent decades. Assessment of seasonal changes in water quality is important for evaluating temporal variations of river pollution. In this study, seasonal variations of chemical characteristics of surface water for the Chehelchay watershed in northeast of Iran was investigated. Various multivariate statistical techniques, including multivariate analysis of variance, discriminant analysis, principal component analysis and factor analysis were applied to analyze river water quality data set containing 12 parameters recorded during 13 years within 1995-2008. The results showed that river water quality has significant seasonal changes. Discriminant analysis identified most important parameters contributing to seasonal variations of river water quality. The analysis rendered a dramatic data reduction using only five parameters: electrical conductivity, chloride, bicarbonate, sulfate and hardness, which correctly assigned 70.2 % of the observations to their respective seasonal groups. Principal component analysis / factor analysis assisted to recognize the factors or origins responsible for seasonal water quality variations. It was determined that in each season more than 80 % of the total variance is explained by three latent factors standing for salinity, weathering-related processes and alkalinity, respectively. Generally, the analysis of water quality data revealed that the Chehelchay River water chemistry is strongly affected by rock water interaction, hydrologic processes and anthropogenic activities. This study demonstrates the usefulness of multivariate statistical approaches for analysis and interpretation of water quality data, identification of pollution sources and understanding of temporal variations in water quality for effective river water quality management.

 
Keyword(s): DISCRIMINANT ANALYSIS, FACTOR ANALYSIS, MULTIVARIATE ANALYSIS OF VARIANCE, PRINCIPAL COMPONENT ANALYSIS, WATER QUALITY
 
 
References: 
 
Citations: 
 
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APA: Copy

ZARE GARIZI, A., & SHEIKH, V., & SADODDIN, A. (2011). ASSESSMENT OF SEASONAL VARIATIONS OF CHEMICAL CHARACTERISTICS IN SURFACE WATER USING MULTIVARIATE STATISTICAL METHODS. INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY (IJEST), 8(3 (31)), 581-592. https://www.sid.ir/en/journal/ViewPaper.aspx?id=197673



Vancouver: Copy

ZARE GARIZI A., SHEIKH V., SADODDIN A.. ASSESSMENT OF SEASONAL VARIATIONS OF CHEMICAL CHARACTERISTICS IN SURFACE WATER USING MULTIVARIATE STATISTICAL METHODS. INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY (IJEST). 2011 [cited 2021August05];8(3 (31)):581-592. Available from: https://www.sid.ir/en/journal/ViewPaper.aspx?id=197673



IEEE: Copy

ZARE GARIZI, A., SHEIKH, V., SADODDIN, A., 2011. ASSESSMENT OF SEASONAL VARIATIONS OF CHEMICAL CHARACTERISTICS IN SURFACE WATER USING MULTIVARIATE STATISTICAL METHODS. INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY (IJEST), [online] 8(3 (31)), pp.581-592. Available: https://www.sid.ir/en/journal/ViewPaper.aspx?id=197673.



 
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