Evaluating Spatial and Temporal Variationin Tuzaklı Pond Water Using MultivariateStatistical Analysis
Yazarlar (2)
Prof. Dr. Arzu Aydin Uncumusaoğlu Giresun Üniversitesi, Türkiye
Prof. Dr. Ekrem MUTLU Kastamonu Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | Polish Journal of Environmental Studies (Q4) | ||
| Dergi ISSN | 1230-1485 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | Ingilizce | Basım Tarihi | 10-2019 |
| Kabul Tarihi | – | Yayınlanma Tarihi | 08-07-2019 |
| Cilt / Sayı / Sayfa | 28 / 5 / 3861–3874 | DOI | 10.15244/pjoes/99103 |
| Makale Linki | http://www.journalssystem.com/pjoes/Evaluation-of-spatial-and-temporal-variation-in-the-Tuzakl-Pond-s-Kastamonu-Turkey,99103,0,2.html | ||
| UAK Araştırma Alanları |
Limnoloji
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| Özet |
| This study used multivariate statistical techniques to demonstrate the spatial and temporal changes in water quality, main pollutant sources and water quality classes in Tuzaklı Pond. The water quality datasets are obtained on a monthly basis (November 2014–October 2015) using the results of 28 parameters that are obtained from three stations in the pond. Datasets are spatially and temporally assessed using statistical techniques, including one-way analysis of variance (ANOVA), Pearson’s correlation, hierarchical agglomerative cluster analysis (HCA) and principal component analysis (PCA). PCA indicates the four main components responsible for the data structure, accounting for 88.31% of the total variance of the dataset. These main components are physical parameters, soluble salts (natural), ammonium and phosphorus (agricultural activity), which are nutrient elements. Furthermore, it can be temporally concluded using HCA that the summer and autumn seasons exhibit more similar characteristics as compared to those exhibited by the remaining seasons. According to the water quality and class criteria of Turkey Surface Water Management Regulation and the World Health Organisation (WHO), while this pond generally represents Class I, we observed PO 4 3−, SO 3 2−, NO 2− and NO 3−(Class II), which resulted in slightly contaminated water. |
| Anahtar Kelimeler |
| Hierarchical clustering analysis (HCA) | Pearson correlation | Principal component analysis (PCA) | Temporal-spatial variations | Water quality |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 16 |
| Scopus | 17 |
| Google Scholar | 32 |