Estimation of spatial distribution of heavy metals in groundwater using interpolation methods and multivariate statistical techniques; its suitability for drinking and irrigation purposes in the Middle Black Sea Region of Turkey

2015 ◽  
Vol 187 (8) ◽  
Author(s):  
Hakan Arslan ◽  
Nazlı Ayyildiz Turan
Keyword(s):  
Heavy Metals ◽  
Spatial Distribution ◽  
Black Sea ◽  
Statistical Techniques ◽  
Multivariate Statistical Techniques ◽  
Multivariate Statistical ◽  
Black Sea Region ◽  
Interpolation Methods ◽  
Drinking And Irrigation

scholarly journals Evaluation of ecological risk, source and spatial distribution of some heavy metals in marine sediments in the Middle and Eastern Black Sea region, Turkey

2021 ◽  
Author(s):  
Aylin Apaydın ◽  
Hatice Kabaoğlu ◽  
Gökhan Apaydın ◽  
Murat Şirin ◽  
Erhan Cengiz ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Spatial Distribution ◽  
Black Sea ◽  
Ecological Risk ◽  
Risk Index ◽  
Agricultural Practices ◽  
Contamination Factor ◽  
Pollution Load Index ◽  
Black Sea Region ◽  
The Mean

Abstract In the present study, the concentration levels of heavy metals such as Mn, Fe, Ni, Cu, Zn, Cr and Pb in sediment samples collected from 16 sampling locations in the Middle and Eastern Black Sea regions, Turkey was measured using energy dispersive X–ray fluorescence spectroscopy (EDXRF). Various pollution parameters and methods, such as the enrichment factor (EF), geo–accumulation index (Igeo), contamination factor (CF), pollution load index (PLI), ecological risk index (RI), and geo–spatial distribution patterns were used to assess in detail the pollution status, ecological risks and sources of metals in sediment. The mean concentrations of Mn, Fe, Ni, Cu, Zn, Cr and Pb were found to be 565.38, 46,000, 34.38, 104.06, 109.88, 87.31, and 32.31 mg/kg, respectively. Results showed that the mean concentrations of Cu, Zn and Pb exceeded the crustal shale value, with the exception of Mn, Fe, Ni and Cr. According to the calculated pollution parameters, although minimal or moderate pollution was detected in the area investigated, it was determined that there was a very low ecological risk. Multivariate statistical analysis results showed that Cu, Zn, and Pb levels in the investigated region were slightly influenced by anthropogenic inputs such as mining and agricultural practices. In addition, the geo–spatial distributions of Cu, Zn, Fe and Pb were found to be higher in this region due to the mining activities carried out in the Eastern Black Sea region.

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