Water Quality of Some of the Belgrade Water Springs and Statistical Analysis of Nitrate Concentration
2018
Cibulić, Violeta (University Union-Nikola Tesla, Belgrade (Serbia)) | Mrazovac-Kurilić, Sanja (University Union-Nikola Tesla, Belgrade (Serbia)) | Presburger-Ulniković, Vladanka (University Union-Nikola Tesla, Belgrade (Serbia)) | Ivančajić, Luka (nstitute for Public Health, Belgrade (Serbia)) | Staletović, Novica (University Union-Nikola Tesla, Belgrade (Serbia)) | Trifunović, Maja (University Union-Nikola Tesla, Belgrade (Serbia)) | Stamenković, Lidija (College of Specialized Professional Studies, Vranje (Serbia))
The manuscript is part of a groundwater monitoring program within the standard control measures for drinking-water health and safety on the territory of Belgrade. The paper presents the results of physical and chemical tests for the five most important spring water sources on the territory of Belgrade: Hajdučka Spring, Miljakovac Spring, Sakinac Spring on Avala, Saint Petka Spring-Monastery Rakovica and Saint Petka Spring-Kalemegdan. The assessment of the physicochemical analyses and results was carried out according to the Serbina drinking water quality standards (Rulebook on the Hygienic Correctness of Drinking Water). Results pointed out that, from a physicochemical water quality parameters point of view, the most analyzed spring water samples comply with the standards, but in some samples content of some heavy metals such as mercury and arsenic, significantly exceeds maximum allowable concentrations for drinking water. This paper also presents the results of testing for nitrate concentrations in the Belgrade spring waters (which have not exceeded MAC at any of the examined sites) and their statistical analysis. This paper presents the trend analysis of the nitrate content in Belgrade spring waters. For this purpose, the Man-Kendall test and linear regression analysis with the correlation calculation were applied. Based on the aforementioned analysis, it can be concluded that the data do not indicate the existence of a significant temporal or spatial trends.
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