Assesment of Water Quality Parametres oF Drina River (West Serbia) in the Period 2004-2011

Leščešen, Igor; Kotrla, Stefan; Otašević, Katarina; Pantelić, Milana; Josimov, Aljoša; Čeperković, Marko

doi:10.13187/er.2013.61.2555

Cited by 4 publications

(7 citation statements)

References 8 publications

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“…From these data, we can conclude that water quality of Sava River is worse in warmer period of the year. Numerous researches stated the same trend, Suquia River, Argentina (Pesce & Wunderlin, 2000), Odzi River, Zimbabwe (Jonnalagadda & Mhere, 2001), Bangpakong River, Thailand (Bordalo et al, 2001), San Vicente Bay, Chile (Rudolf et al, 2002), Pampa Murillo, Mexico (Herna´ndez-Romero et al, 2004), Veliki Bački kanal, Serbia (Pantelić et al, 2012), Drina River (Leščešen et al, 2013).…”

Section: Discussionmentioning

confidence: 89%

“…The reason for increased SWQI is the inflowing of the Drina River in Sava River near the town of Sremska Rača. Based on SWQI, water quality of Drina River was classified as excellent (93) (Leščešen et al,2013). Largest value is recorded at the measuring stations Sremska Mitrovica and Šabac (87), which are located relatively near the confluence of the Drina and Sava River.…”

Section: Discussionmentioning

confidence: 99%

“…This system of surface waterbodies quality description represents the way of quality estimation for certain parameteres group, where earlier researches and studies show that this method ensures general overwiev of surface water quality at certain place (Veljković, 2000a;Veljković 2001;Veljković 2003;Đurašković & Vujović, 2004;Veljković, 2007;Đurašković & Tomić, 2009;Pantelić et al, 2012;Leščešen et al, 2013). This method is based upon the fact that ten chosen parametres (oxygen saturation, BOD, ammonium, Ph value, total oxidised nitrogen, orthophospates, suspended solids, temperature, conductivity and coliform bacteria) with their quality (qi) represent features of surface water reducing them at one index number.…”

Section: Methodsmentioning

confidence: 98%

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Estimation of water quality of Sava River (Vojvodina, Serbia) in the period 2004-2011 using Serbian Water Quality Index (SWQI)

Bjelajac¹,

Leščešen²,

Mićić³

et al. 2013

Geogr Pannon

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Estimation of water quality of Sava River (Vojvodina, Serbia) in the period 2004-2011 using Serbian Water Quality Index (SWQI) IntroductionWater quality is one of the most significant factors that have to be taken into account in evaluation of sustainability of a particular region (Córdoba et al., 2010). The important aspects taken into consideration when examining the top-priority problems of water quality are the economic influence, the influence on human health, the influence on the ecosystem, the influence of the geographic area as well as the duration of the influence (Dalmacija, 2004).The quality of the watercourse at any of the points depends on several key influences: basin lithology, atmospheric influences, climatic conditions and anthropogenic influences (Shrestha, Kazama, 2007). River systems play an important role in the sustainable development of the entire environment, especially if they flow through inhabited areas (Kowalkowski et al., 2006). In order to provide the sustainability of ecological balance, the presence and quality of water are very important (Karadavut et al., 2011) and there have been more researches based upon water quality observing (Parvulescu, Hamchevici, 2010). Anthropogenic influences can cause negative consequencies in short period of time as far as water quality is concerned (Yunus, Nakagoshi, 2004), whereas waterbody pollution represents the result of human activities on one hand, and intensive urbanization development on the other hand (Dragićević et al., 2010). The organic solid load and the dynamics of its degradation are very good indicators of the anthropogenic im- AbstractA Water Quality Index (WQI) is a numeric expression used to evaluate the quality of water bodies and make it easier understood by managers. This paper aims to assess water quality of Sava River in Vojvodina (North Serbia) for the 2004 -2011 period. For this purpose authors applied: Serbian Water Quality Index (SWQI) assessment. WQI value is dimensionless, single number ranging from 0 to 100 (best quality) derived from numerous physical, chemical, biological and microbiological parameters. For the Sava River SWQI was mainly rated as very good. This study shows a clear decrease in water quality during warmer periods of the year. Additionaly, this study shows that water quality along Sava River decreases slightly downstream, of Sremska Mitrovica station but it still provides values that according to SWQI descriptive quality indicator have been defined as good (72-83) and very good (84 -89). Also, this study shows an increase of SWQI downstream of the confluence of Drina River into Sava River. This methodology includes parameters for assessment of organic loading, but does not involve parameters of heavy metals concentration.

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Section: Discussionmentioning

confidence: 89%

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 98%

See 1 more Smart Citation

Estimation of water quality of Sava River (Vojvodina, Serbia) in the period 2004-2011 using Serbian Water Quality Index (SWQI)

Bjelajac¹,

Leščešen²,

Mićić³

et al. 2013

Geogr Pannon

View full text Add to dashboard Cite

show abstract

“…In this paper we used Serbian Water Quality Index (SWQI) for description of the water quality. This system of surface waterbodies quality description represents the way of quality estimation for certain parameters group, where earlier researches and studies show that this method ensures general overwiev of surface water quality at cer- (Veljković, 2000;Veljković, 2001;Veljković, 2003;Đurašković, Vujović, 2004;Đurašković, Tomić, 2009;Pantelić, et al, 2012;Leščešen, et al, 2013;Bjelajac et al, 2013). The essence of the SWQI is that the ten chosen parametres (oxygen saturation, BOD5, ammonium ion, pH value, total nitrogen, orthophosphates, suspended matter, temperature, electroconductivity and coliform bacteria) by means of their quality (qi) represent the characteristics of surface waters reducing them to one index number.…”

Section: Methodsmentioning

confidence: 98%

“…By adding up the products (qi x wi) the index 100 is gained as the ideal sum of the weight of all the parameters (Oregon Water Quality Index Summary Report, 1996Report, -2005. Index points from 0 to 100 will be assigned to particular waterbody according to the points assigned to particular parameters (Pantelić et al, 2012;Leščešen et al, 2013;Bjelajac et al, 2013). Formula used for SWQI calculation is: Veljkovic, 2000b Main limitation for SWQI is relative small number of parameters.…”

Section: Methodsmentioning

confidence: 99%

Assessment of water quality of the Tisa River (Vojvodina, North Serbia) for ten year period using Serbian water quality index (SWQI)

Leščešen¹,

Pantelić²,

Dolinaj³

et al. 2014

Geogr Pannon

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Assessment of water quality of the Tisa river (Vojvodina, North Serbia) for ten year period using Serbian Water Quality Index (SWQI) IntroductionOnly healthy and unpolluted aquatic ecosystem is an integral part of life and is an essential resource for meeting the needs of many. Therefore, water protection becomes imperative, the key for the sustainable development in order to preserve the quality of the environment, social welfare and economic security, areas that are essentially intertwined and dependent. On the other hand, pressure on aquatic ecosystems are extremely large, and the regenerative ability of aquatic ecosystems is limited (Belić, et al., , 2005Josimov-Dunđerski, Belić, 2005a). The most common cause of degradation of the quality of aquatic ecosystems is polluted water. These are waters that have changed their original composition of the release of harmful substances, whose presence causes a change in the physical, chemical, biological or bacteriological water conditions to an extent that may limit or prevent its use. Water quality is variable in time and space. Therefore, it is extremely important monitoring and knowledge of the current state of water quality (Josimov-Dunđerski, Belić, 2005b). Water Quality index attempts to provide a mechanism for presenting a cumulatively derived numerical expression defining certain level of water quality (Miller, et al., 1986), and is useful for comparative purposes and when general questions are addressed (Hallock, 2002;Bordalo, et al., 2006). In this study, the water quality status, as well as the spatial and temporal trends over ten year period (from 2003-2012) is assessed on three different locations along the Tisa River in Vojvodina (North Serbia). AbstractThe WQI method is most frequently used in expert and scientific research and basically it provides a mechanism for cumulative representation, numeric expression and defining a certain level of water quality. This paper aims to assess water quality of the Tisa River in Vojvodina (North Serbia) for the 2003 -2012 period. Serbian Water Quality Index (SWQI) was used for assessment of the river water quality. WQI is expressed as a single value ranging from 0 to 100 (best quality) derived from numerous physical, chemical, biological and microbiological parameters. The results of SWQI for the Tisa River were mainly rated as good. Also, in this study it is noticed a clear decrease in water quality during warmer period of the year. Also, this study shows that water quality along the Tisa River decreases slightly but steadily downstream, from Martonoš to Titel station and all along the length of the river provides values that according to SWQI descriptive quality indicator has been defined as good (72-83). The main problem of SWQI used in this paper is that it does not involve parameters of heavy metals concentration.

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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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Assesment of Water Quality Parametres oF Drina River (West Serbia) in the Period 2004-2011

Cited by 4 publications

References 8 publications

Estimation of water quality of Sava River (Vojvodina, Serbia) in the period 2004-2011 using Serbian Water Quality Index (SWQI)

Estimation of water quality of Sava River (Vojvodina, Serbia) in the period 2004-2011 using Serbian Water Quality Index (SWQI)

Assessment of water quality of the Tisa River (Vojvodina, North Serbia) for ten year period using Serbian water quality index (SWQI)

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

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