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    ASSESSMENT OF TOXIC METALS IN SEDIMENTS OF MERIC, TUNCA AND ERGENE RIVERS BY USING BIOLOGICAL AND ECOLOGICAL RISK INDICES
    (Central Bohemia Univ, 2016) Tokatli, Cem; Bastatli, Yasin
    The Meric 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 Meric, 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.
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    Trace and Toxic Element Levels in River Sediments
    (Hard, 2016) Tokatli, Cem; Bastatli, Yasin
    The Meric River is the longest river of the Balkans and it can be declared as most important aquatic ecosystem in the Thrace Region of Turkey. The Tunca and Ergene rivers are the most important branches of the Meric and they are known to be exposed to important organic and inorganic pollution from agriculture and industry in their basins. We evaluated the sediment quality of the three rivers by determining a total of 25 trace and toxic element accumulations, including lithium (Li), boron (B), sodium (Na), magnesium (Mg), aluminum (Al), potassium (K), calcium (Ca), vanadium (V), chromium (Cr), manganese (Mn), iron (Fe), cobalt (Co), nickel (Ni), copper (Cu), zinc (Zn), gallium (Ga), arsenic (As), selenium (Se), strontium (Sr), silver (Ag), cadmium (Cd), antimony (Sb), barium (Ba), titanium (Ti), and lead (Pb). Also, oneway ANOVA testing was used to determine the statistical differences of element accumulations among the stations, and cluster analysis (CA) was used to classify the rivers according to sediment qualities and to classify the elements according to accumulation levels. As a result of the study, statistically significant differences were identified among the investigated rivers in terms of almost all the trace and toxic elements and the contamination levels of investigated aquatic ecosystems as follows: Ergene River > Meric River > Tunca River in general. According to the results of elemental CA, five statistically significant clusters were formed: most intense elements, second most intense elements, moderately intense elements, second rarest elements, and rarest elements. According to the results of locational CA, two statistically significant clusters were formed: highly contaminated locations and moderately contaminated locations.
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    WATER QUALITY ASSESSMENT OF DAM LAKES LOCATED IN EDIRNE PROVINCE (TURKEY)
    (Yildiz Technical Univ, 2017) Tokatli, Cem; Bastatli, Yasin; Elipek, Belgin
    Edirne Province is located in the Thrace part of Marmara Region and intensive agricultural activities are conducted around the city, because of contained rich soil and much freshwater resources. In this study, water quality of Sultankoy (Ipsala District), Altinyazi (Uzunkopru District), Suloglu (Suloglu District), and Kadikoy (Kesan District) Dam Lakes, which were constructed by DSI (State Water Works) in order to provide irrigation water (Sultankoy and Altinyazi) and drinking water (Suloglu and Kadikoy) to the places where they are located on, were investigated. For this purpose, water samples were collected from the output locations of all the reservoirs in spring season of 2016. Total of 13 physiochemical water quality parameters (pH, conductivity, TDS, salinity, turbidity, nitrate, nitrite, phosphate, sulfate, chemical oxygen demand, total carbon, total inorganic carbon and total organic carbon) were measured. Also Cluster Analysis (CA) was applied to detected data in order to classify the reservoirs in terms of contamination levels. According to detected data, pollution levels of the investigated dam lakes as follows; Sultankoy > Altinyazi > Kadikoy > Suloglu in general. According to the results of CA, 3 statistically significant clusters were formed, which were corresponded to Suloglu Dam Lake (Cluster 1); Kadikoy and Altinyazi Dam Lakes (Cluster 2); Sultankoy Dam Lake (Cluster 3).