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WATER QUALITY INDEX AND MULTIVARIATE STATISTICAL APPROACH IN ASSESSING THE QUALITY OF IRRIGATION WATER OF CAYKOY POND    
Yazarlar (2)
Arzu Aydın Uncumusaoğlu
Giresun Üniversitesi, Türkiye
Prof. Dr. Ekrem MUTLU Prof. Dr. Ekrem MUTLU
Kastamonu Üniversitesi, Türkiye
Devamını Göster
Özet
In this study, 28 parameter data were obtained from 4 stations to determine the water quality of Caykoy Pond, which was built for irrigation purposes, and indices and statistical methods were used for a simple interpretation of the data. The parameters constituting the main components of water mass were used in calculating the WQI. The results obtained showed that the water quality of pond ranged between high quality and very polluted water according to WHO and SWQR. Examining the water quality from the aspect of irrigation water, SAR, Na %, RSC, and KR did not pass beyond the limit values. MH value was found to be harmful for irrigation. According to the cluster analysis, the summer and autumn seasons and the winter and spring seasons were found to be more similar to each other. PCA was affected by four main factors explaining 86.41% of the total variance and it was determined that the main …
Anahtar Kelimeler
Water quality index (WQI) | irrigation water quality | hierarchical cluster analysis (HCA) | principal components analysis (PCA) | fresh water
Makale Türü Özgün Makale
Makale Alt Türü SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale
Dergi Adı FRESENIUS ENVIRONMENTAL BULLETIN
Dergi ISSN 1018-4619 Wos Dergi Scopus Dergi
Dergi Tarandığı Indeksler SCI
Dergi Grubu Q4
Makale Dili İngilizce
Basım Tarihi 01-2022
Cilt No 31
Sayı 3
Sayfalar 3447 / 3459
Makale Linki file:///C:/Users/ADMIN/Downloads/FEB_03A_2022_Pp_03031-03870.pdf
BM Sürdürülebilir Kalkınma Amaçları
Atıf Sayıları
WoS 3
Google Scholar 8

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