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Comparative review of physico-chemical analysis of river Moravica [Serbia] water and heavy metals presence in slime and herb Mentha aquatica
2006
Milenovic, V. | Janjic, L. (Univerzitet u Nisu, Nis (Serbia). Fakultet zastite na radu)
In the course of implementation of project Ecological Significance Evaluation of River Moravica Basin with Pollutants Identification, supported by REC and DRP, chemical and physical water analysis were done, as well as slime analysis. Heavy metals presence in water, herb Mentha aquatica and slime was analysed at six relevant locations downstream river Moravica. Heavy metals test results in slime and herb Mentha aquatica points out the presence of Zn, Cu, Fe, Mn, with heavy metals concentration rise from spring to mouth of river Moravica to river Juzna Morava. Chemical and physical analysis of water content, and detection of heavy metals presence in herb Mentha aquatica - as bioindicator and in slime, shows on water contamination with heavy metals as the inflow result of waste waters from numerous polluters.
Mostrar más [+] Menos [-]Population dynamic of bacteria in the Moraca river [Montenegro (Serbia and Montenegro)]
2005
Radonjic, D. | Joksimovic, N.(Institut za javno zdravlje, Podgorica (Serbia and Montenegro))
During the 2004 research of Moraca river water quality was conducted onto six localities: Pernica, Zlatica, Gradska plaza, Kolektor, Grbavci and Vukovci. Physical, chemical and microbiological properties were analyzed. Physical and chemical analyses done were: water temperature, air temperature, pH, electro-conductivity, KMnO4 consumption, dissolved O2 and BCO5 (biological consumption of oxygen in five days). Microbiological analysis included determination of the total number of aerobic mezophyll bacteria, oligotrophic and heterotrophic bacteria, as well as the most probable number of colliform bacteria. In addition to distribution and population dynamics, identification of the bacteria was also done. Microbiological water analysis were performed using standard bacteriologic methods and identification of the bacteria using INVIC or, when needed, using API diagnostics.
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