ASSESSMENT OF TOXIC METALS IN SEDIMENTS OF MERIÇ, TUNCA AND ERGENE RIVERS BY USING BIOLOGICAL AND ECOLOGICAL RISK INDICES

Cem Tokatli; Yasin Baştatli

doi:10.12955/cbup.v4.851

Cem Tokatli Trakya University, Ipsala Vocational School, Department of Laboratory Technology, İpsala/Edirne
Yasin Baştatli Dumlupınar University, Faculty of Science, Department of Biology, Kütahya

DOI: https://doi.org/10.12955/cbup.v4.851

Keywords: Meriç River, Tunca River, Ergene River, Sediment Quality, Bio-Ecological Risk Indices

Abstract

The Meriç River, the longest river of the Balkans, is the most important aquatic ecosystem within the Thrace Region of Turkey, along with its main tributaries, the Tunca and Ergene Rivers. In this study, the sediment quality of Meriç, Tunca, and Ergene Rivers was evaluated by using the Potential Ecological Risk Index (RI) and the Biological Risk Index (mERM-Q), both widely used methods in sediment quality assessment studies, to assess the ecological and biological risks of heavy metals within the river ecosystems. According to the results of the Biological Risk Index, nickel and chromium displayed the highest risk factors, and in terms of the Potential Ecological Risk Index, cadmium yielded the highest risk factor across all the investigated lotic ecosystems.

References

ATSDR (Agency for Toxic Substances and Disease Registry) (2005). Toxicological Profile for Nickel. Atlanta, GA: U.S. Department of Health and Human Services.

ATSDR (Agency for Toxic Substances and Disease Registry) (2007). Toxicological Profile for Cadmium. Atlanta, GA: U.S. Department of Health and Human Services.

ATSDR (Agency for Toxic Substances and Disease Registry) (2008). Toxicological Profile for Chromium. Atlanta, GA: U.S. Department of Health and Human Services.

Çiçek, A., Tokatlı, C., & Köse, E. (2013). Ecological Risk Assessment of Heavy Metals in Sediment of Felent Stream (Sakarya River Basin, Turkey). Pakisan Journal of Zoology, 45 (5): 1335-1341.

Environmental Protection Agency (EPA) METHOD 3051. (1998). Microwave Assisted Acid Digestion of Sediments, Sludges, Soils, and Oils.

Environmental Protection Agency (EPA) METHOD 200.7. (2001). Determination Of Metals And Trace Elements In Water And Wastes by Inductively Coupled Plasma-Atomic Emission Spectrometry.

Environmental Protection Agency (EPA) (2005). Predicting Toxicity to Amphipods from Sediment Chemistry. EPA/600/R–04/030, Washington, DC.

Farombi, E. O., Adelowo, O. A., & Ajimoko. Y. R. (2007). Biomarkers of oxidative stress and heavy metal levels as indicators of environmental pollution in African Cat fish (Clarias gariepinus) from Nigeria ogun river. Int. J. Environ. Res. Public Health., 4 (2), 158-165.

Håkanson, L. (1980). An ecological risk index for aquatic pollution control of sediment ecological approach. Water Research 14, 975e1000.

Hilton, J., Davison, W., & Ochsenbein, U. (1985). A mathematical model for analysis of sediment coke data. Chemical Geology 48, 281e291.

Long, E.R., Ingersoll, C.G., & MacDonald, D.D. (2005). Calculation and uses of mean sediment quality guideline quotients: a critical review. Environ. Sci. Technol. 40, 1726–1736.

Massoudieh, A., Bombardelli, F. A., & Ginn, T. R. (2010). A biogeochemical model of contaminant fate and transport in river waters and sediments. J. Contam. Hydrol. 112, 103–117.

Tokatlı, C. (2015). Assessment of the Water Quality in the Meriç River: As an Element of the Ecosystem in the Thrace Region of Turkey. Polish Journal of Environmental Studies, 24 (5): 2205-2211.

Yu, G. B., Liu, Y., Yua, S., Wuc, S.C., Leung A. O. W., Luo, X. S., Xua, B., Li, H. B., & Wongc, M. H. (2011). Inconsistency and comprehensiveness of risk assessments for heavy metals in urban surface sediments. Chemosphere 85, 1080–1087.