Volume 9, Issue 18 (1-2019)
J Watershed Manage Res 2019, 9(18): 250-259 |
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Babolhakami A, Gholami Sefidkouhi M A. (2019). Analyze of Talar River Water Quality using Multivariate Techniques . J Watershed Manage Res. 9(18), 250-259. doi:10.29252/jwmr.9.18.250
URL: http://jwmr.sanru.ac.ir/article-1-749-en.html
URL: http://jwmr.sanru.ac.ir/article-1-749-en.html
1-
2- 1Sari Agricultural Sciences and Natural Resources University
2- 1Sari Agricultural Sciences and Natural Resources University
Abstract: (3758 Views)
Classification of water quality is the most important step for controlling the pollution of water. The aim of this study was classifying the water quality of the Talar River basin by analyzing the existing data of six monitoring stations. Multivariate statistical techniques such as cluster analysis (CA), principal component analysis (PCA) and factor analysis (FA) were used to assessment the spatial variations of water quality in the Talar River. The quality data which were gathered from the 2011 to 2014 were included 14 different chemical parameters. . Quality testing stations were included the Pol Sefid, Pol Shahpor, Kiakola, Kari Kola, Savadkuh, Shirgah and Paland Rodbar. The results of cluster analysis of water quality stations were divided into three groups. The first group includes stations Paland Rodbar, Kari Kola, Savadkuh and Pol Shapur, the second group includes stations Shirgah and Kiakola, and the third group was Pol Sefid station. The results of PC and FA showed that the 80 percent of the variations of water quality were done by three parameters; the first parameters are TDS, EC, Cl, So4, Ca, Mg, Na, K, SAR and TH. The second factors are the Po4 and No3, and the third factor is HCo3-.The results showed that the major factors which are polluted the water quality of the Tlar River are related to inflow of industrial, domestic, hospital and agricultural effluents into the Talar River.
Type of Study: Research |
Subject:
ساير موضوعات وابسته به مديريت حوزه آبخيز
Received: 2017/01/18 | Accepted: 2017/07/3
Received: 2017/01/18 | Accepted: 2017/07/3
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