SURFACE WATER QUALITY ASSESSMENT OF HARAZ-GHAREHSOO RIVER BASIN USING MULTIVARIATE STATISTICAL TECHNIQUES

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

NOSRATI K.; DERAFSHI K.; GHAREHCHAHI SAEEDEH; RAHIMI K.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Researches in Earth Sciences Year:2011 | Volume:2 | Issue:5 Page(s): 41-55

Download Full-Text

Persian Verion

View:

1,982

Download:

Cites:

Information Journal Paper

Title

SURFACE WATER QUALITY ASSESSMENT OF HARAZ-GHAREHSOO RIVER BASIN USING MULTIVARIATE STATISTICAL TECHNIQUES

Author(s)

NOSRATI K. | DERAFSHI K. | GHAREHCHAHI SAEEDEH | RAHIMI K. | Issue Writer Certificate

Keywords

SPATIAL ANALYSISQ2

MULTIVARIATE STATISTICAL TECHNIQUESQ2

HARAZ-GHAREHSOO RIVER BASINQ2

SURFACE WATER QUALITYQ3

Abstract

Multivariate statistical techniques, cluster analysis (CA), principal component analysis (PCA), factor analysis (FA) and discriminant analysis (DA), were applied to evaluate of spatial variations and to investigate 13 SURFACE WATER QUALITY parameters at 22 gauging stations in the Haraz-Qharehsoo River Basin, during 5 years. Hierarchical cluster analysis grouped 22 stations into three clusters, based on the similarity of water quality characteristics. Factor analysis/principal component analysis, applied to the data sets of the three clusters obtained from cluster analysis, resulted in two, three and two factors explaining 87.3, 87.9 and 91.6% of the total variance in water quality of three clusters, respectively. The varifactors obtained from cluster analysis indicate that the parameters responsible for water quality variations are mainly related to weathering, salt leaching (natural), and organic pollution such as domestic, land use changes, and fertilizers. The results of DA showed that all surface quality parameters (13 parameters) in standard mode, 12 parameters in forward mode, except TDS factor, and cl-, SO2-4 in backward mode, were explained as effective parameters for Haraz-Gharehsoo river SURFACE WATER QUALITY changes. Thus, this study illustrates the useful of MULTIVARIATE STATISTICAL TECHNIQUES for analysis and interpretation of complex data sets in SURFACE WATER QUALITY assessment, identification of pollution/factors and understanding spatial variation in water quality for effective river water quality management.

Cites

No record.

References

No record.

Cite

APA: Copy

NOSRATI, K., DERAFSHI, K., GHAREHCHAHI, SAEEDEH, & RAHIMI, K.. (2011). SURFACE WATER QUALITY ASSESSMENT OF HARAZ-GHAREHSOO RIVER BASIN USING MULTIVARIATE STATISTICAL TECHNIQUES. RESEARCHES IN EARTH SCIENCES, 2(5), 41-55. SID. https://sid.ir/paper/207425/en

Vancouver: Copy

NOSRATI K., DERAFSHI K., GHAREHCHAHI SAEEDEH, RAHIMI K.. SURFACE WATER QUALITY ASSESSMENT OF HARAZ-GHAREHSOO RIVER BASIN USING MULTIVARIATE STATISTICAL TECHNIQUES. RESEARCHES IN EARTH SCIENCES[Internet]. 2011;2(5):41-55. Available from: https://sid.ir/paper/207425/en

IEEE: Copy

K. NOSRATI, K. DERAFSHI, SAEEDEH GHAREHCHAHI, and K. RAHIMI, “SURFACE WATER QUALITY ASSESSMENT OF HARAZ-GHAREHSOO RIVER BASIN USING MULTIVARIATE STATISTICAL TECHNIQUES,” RESEARCHES IN EARTH SCIENCES, vol. 2, no. 5, pp. 41–55, 2011, [Online]. Available: https://sid.ir/paper/207425/en

Related Journal Papers