Assessing Surface Water Quality in the Serbian
Part of the Tisa River Basin

Babić, Goran; Vuković, Milovan; Voza, Danijela; Takić, Ljiljana; Mladenović-Ranisavljević, Ivana

doi:10.15244/pjoes/95184

Cited by 17 publications

(24 citation statements)

References 29 publications

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“…Apart from the above-mentioned analyses, the authors used the qualification system to describe surface water quality using the Serbian Water Quality Index (SWQI) method (Stričević et al 2015;Leščešen, Pavić, Dolinaj 2018;Babić et al 2019). This method is based upon the fact that ten chosen parameters (oxygen saturation, BOD5, ammonium, pH value, TON, orthophosphates, suspended solids, temperature, conductivity and coliform bacteria) with their quality (qi) represent features of surface water reducing them at one index number.…”

Section: ߝ5 Mdaha ðࠡmentioning

confidence: 99%

“…The quality of surface water bodies is a very sensitive environmental issue. Surface water quality is determined by natural processes-climatic, hydrological and geological (air temperature, precipitation, mean water level, flow variation, soil erosion) -as well as human activities such as urbanization, industry, mining, metallurgy, agriculture and increased consumption of freshwater resources (Dragićević et al 2010, Babić et al 2019.…”

Section: Introductionmentioning

confidence: 99%

“…Authors most frequently refer to the WQI (Water Quality Index) as a simple indicator of watersheds pollution (Parmar, Parmar 2010;Nagel 2001) or to a modified index, such as the Oregon Water Quality Index, as a tool for evaluating water quality management effectiveness (Yotova et al 2020). The WQI was used as the indicator of the surface water quality in the rivers of Bulgaria (Yotova et al 2020), Albania (Damo, Icka 2013), Romania (Dunca 2018), Iran (Fathi, Ahmadmahmoodi, Zare Bidaki 2018), Malaysia (Naubi et al 2016), as well as for the assessment of the water quality and pollution in the rivers of Serbia: Dunav (Josimov Dundjerski et al 2016, Takić et al 2012, Sava (Bjelajac et al 2013), Tisa (Leščešen et al 2014, Babić et al 2019, Timok (Milijašević Joksimović, Gavrilović, Obradović Lović 2018), Drina (Leščešen et al 2013).…”

Section: Introductionmentioning

confidence: 99%

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Statistical analysis of water quality parameters in the basin of the Nišava River (Serbia) in the period 2009–2018

et al. 2021

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This paper analyzes water quality from four hydrological stations in the Nišava river basin from 2009–2018 based on the following parameters: pH, conductivity, O2 saturation, BOD5, suspended solids, total oxidized nitrogen, phosphates, turbidity and coliform bacteria. Authors have applied WQI (water quality index) as the most reliable indicator of the watercourses pollution for setting of surface water flow quality. Statistical analysis of variance (ANOVA) using t-test inferential statistical analysis and post-hoc Tukey test were applied to evaluate statistically significant differences between specific data groups. The results show that bad water quality was registered on all the profiles on an annual basis (WQI = 65–71). The river water pH decreases downstream, while values of BOD5, suspended solids, turbidity, TON, phosphates and coliform bacteria gradually increase. The waters of the Nišava at the station Niš belong to the third class of waters and they are mostly loaded with organic matter originating from waste sewage and industrial waters of both urban and rural areas.

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Section: ߝ5 Mdaha ðࠡmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Statistical analysis of water quality parameters in the basin of the Nišava River (Serbia) in the period 2009–2018

et al. 2021

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“…Therefore, each of the 10 parameters gets its own weight or rank of implication (wi) and number or registered value (qi) according to its share in endangering water quality. Finally, summing the product (qi x wi) gives an index of 100 as the ideal sum of the quality shares of all parameters (Babić et al, 2019).…”

Section: Fig 2 Position Of Hydrological Stations In the Morača Rivementioning

confidence: 99%

“…For the purposes of this paper, the final WQI calculations were performed using a calculator available on the website of the Environmental Protection Agency of the Republic of Serbia (SEPA), because the formula used to determine water quality on the Morača River and its tributaries (Zeta and Cijevna) includes 10 mentioned physicochemical and biological parameters. This index is officially defined as the Serbian Water Quality Index (SWQI) and is used under that name in the world scientific literature (Babić et al, 2019). Therefore, for the purposes of this paper, SWQI is calculated according to the following formula:…”

Section: Fig 2 Position Of Hydrological Stations In the Morača Rivementioning

confidence: 99%

Assessment of the water quality in the Moraca River basin (Montenegro) using water quality index

Doderović

Mijanović

Burić

et al. 2020

B SERBIAN GEOGRAPHIC

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In this paper, the water quality of the Moraca River and its main tributaries (the Zeta and the Cijevna) were analyzed, using the Water Quality Index (WQI) methods. Data from 12 hydrological stations (HS) from 2010 to 2018 were used. The analysis included ten parameters of physic, chemical and microbiological water quality: oxygen saturation, BOD5, ammonium ion, pH value, total nitrogen oxides, orthophosphates, suspended solids, temperature, electrical conductivity and coliform bacteria. Calculations for all 12 HS were made using the Serbian Water Quality Index (SWQI). The results of the research showed that the general situation is not discouraging, because the SWQI values ranged from 73-97, which according to the categorization of water quality corresponds to the classes good, very good and excellent. The only exceptions were the two measuring stations in the lower course of the Moraca River (City Collector and Grbaci). During the entire observed period, the water quality was the worst on the profile of the City Collector (SWQI between 39 and 71) on Moraca River. Also, downstream on Moraca River, on HS Grbavci for 2015, the average annual value of SWQI was 70, which according to the gradation corresponds to the class of poor quality. The biggest sources of pollution were municipal wastewaters, followed by agricultural activities and illegal garbage disposal both along the stream and in the river itself. It follows that the lower part of the Moraca River was the most polluted in the observed basin. This is a serious problem, especially since it is a part of the Moraca River that flows through the most populated and most agriculturally active parts of Montenegro (Podgorica, Zeta Plain, Ljeskopolje). Therefore, it is necessary to take adequate measures as soon as possible, which primarily relate to the introduction of wastewater treatment technology and to educate population about the importance of river water conservation.

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