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.

摘要: Monitoring of heavy metal concentrations in groundwater potentially used for drinking and irrigation is very important. This study collected samples from 78 wells July 2012 analyzed them 17 metals (Pb, Zn, Cr, Mn, Fe, Cu, Cd, Co, Ni, Al, As, Mo, Se, B, Ti, V, Ba). Spatial distributions these elements were identified using three different interpolation methods [inverse distance weighing (IDW), radial basis function (RBF), ordinary kriging (OK)]. Root mean squared error (RMSE) absolute (MAE) cross validation to select the best each parameter. Multivariate statistical analysis [cluster (CA) factor (FA)] identify similarities among sampling sites contribution variables pollution. Fe Mn levels exceeded World Health Organization (WHO) recommended limits water almost all area, some locations had that Food Agriculture (FAO) guidelines drip systems. Cd also WHO water. Cluster classified area into groups, five factors explained 73.39% total variation groundwater, which are as follows: 1: Mo; 2: Ba; 3: Pb, Cd; 4: Cu; 5: AS, Zn. As a result this study, it could be said multivariate techniques gave useful results determination source.