Statistical analysis of water quality parameters in the basin of the Nisava River (Serbia) in the period 2009-2018
2021
Autori
Stričević, Ljiljana S.Pavlović, Mila
Filipović, Ivan M.
Radivojević, Aleksandar
Martić-Bursać, Nataša
Gocić, Milena
Članak u časopisu (Objavljena verzija)
Metapodaci
Prikaz svih podataka o dokumentuApstrakt
This paper analyzes water quality from four hydrological stations in the Nisava river basin from 2009-2018 based on the following parameters: pH, conductivity, O-2 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 Nisava at the station Nis belong to the third class of waters and they are mostly loaded with orga...nic matter originating from waste sewage and industrial waters of both urban and rural areas.
Ključne reči:
Nisava River / Serbia / WQI / water pollutionIzvor:
Geografie, 2021, 126, 1, 55-73Izdavač:
- Czech Geographic Soc, Prague 2
Finansiranje / projekti:
- Razvojni programi revitalizacije sela Srbije (RS-MESTD-Basic Research (BR or ON)-176008)
- Ministarstvo nauke, tehnološkog razvoja i inovacija Republike Srbije, institucionalno finansiranje - 200124 (Univerzitet u Nišu, Prirodno-matematički fakultet) (RS-MESTD-inst-2020-200124)
DOI: 10.37040/geografie2021126010055
ISSN: 1212-0014
WoS: 000630452000003
Scopus: 2-s2.0-85103554637
Kolekcije
Institucija/grupa
Geografski fakultetTY - JOUR AU - Stričević, Ljiljana S. AU - Pavlović, Mila AU - Filipović, Ivan M. AU - Radivojević, Aleksandar AU - Martić-Bursać, Nataša AU - Gocić, Milena PY - 2021 UR - https://gery.gef.bg.ac.rs/handle/123456789/1080 AB - This paper analyzes water quality from four hydrological stations in the Nisava river basin from 2009-2018 based on the following parameters: pH, conductivity, O-2 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 Nisava at the station Nis 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. PB - Czech Geographic Soc, Prague 2 T2 - Geografie T1 - Statistical analysis of water quality parameters in the basin of the Nisava River (Serbia) in the period 2009-2018 VL - 126 IS - 1 SP - 55 EP - 73 DO - 10.37040/geografie2021126010055 UR - https://hdl.handle.net/21.15107/rcub_gery_1080 ER -
@article{ author = "Stričević, Ljiljana S. and Pavlović, Mila and Filipović, Ivan M. and Radivojević, Aleksandar and Martić-Bursać, Nataša and Gocić, Milena", year = "2021", abstract = "This paper analyzes water quality from four hydrological stations in the Nisava river basin from 2009-2018 based on the following parameters: pH, conductivity, O-2 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 Nisava at the station Nis 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.", publisher = "Czech Geographic Soc, Prague 2", journal = "Geografie", title = "Statistical analysis of water quality parameters in the basin of the Nisava River (Serbia) in the period 2009-2018", volume = "126", number = "1", pages = "55-73", doi = "10.37040/geografie2021126010055", url = "https://hdl.handle.net/21.15107/rcub_gery_1080" }
Stričević, L. S., Pavlović, M., Filipović, I. M., Radivojević, A., Martić-Bursać, N.,& Gocić, M.. (2021). Statistical analysis of water quality parameters in the basin of the Nisava River (Serbia) in the period 2009-2018. in Geografie Czech Geographic Soc, Prague 2., 126(1), 55-73. https://doi.org/10.37040/geografie2021126010055 https://hdl.handle.net/21.15107/rcub_gery_1080
Stričević LS, Pavlović M, Filipović IM, Radivojević A, Martić-Bursać N, Gocić M. Statistical analysis of water quality parameters in the basin of the Nisava River (Serbia) in the period 2009-2018. in Geografie. 2021;126(1):55-73. doi:10.37040/geografie2021126010055 https://hdl.handle.net/21.15107/rcub_gery_1080 .
Stričević, Ljiljana S., Pavlović, Mila, Filipović, Ivan M., Radivojević, Aleksandar, Martić-Bursać, Nataša, Gocić, Milena, "Statistical analysis of water quality parameters in the basin of the Nisava River (Serbia) in the period 2009-2018" in Geografie, 126, no. 1 (2021):55-73, https://doi.org/10.37040/geografie2021126010055 ., https://hdl.handle.net/21.15107/rcub_gery_1080 .