Heavy metal contamination of Soils is a significant environmental problem in the world and can affect the natural resources health and food security of societies. Identifying the pollution sources, especially human sources, and the spatial distribution of pollutions on the landscape is necessary to prevent and control of these pollutions. The aim of this research is to study the relation between spatial distribution of different land uses and heavy metal concentration in the soil of study area, through the quantification of land use patterns by the landscape metrics. 30 soil samples (0-20 cm depth) were collected randomly and total concentration of Pb, Cd, Zn and Cu were measured. Soil properties such as pH, EC, organic carbon and organic matter soil texture were measured. The inverse distance weighting (IDW) method was used for interpolatioforheavy metals (Pb, Cd, Zn, Cu) concentration. Landscape metrics were calculated in the 1,000 hectares hexagonal grid by ArcGIS extensions (Patch Analyst وPatch Grid) for quantifying land-use patterns in patch class and landscape scales. Pearson correlation and regression analysis were performed as statistical analyses to quantify the relationship between landscape metrics and heavy metals concentrations. Results showed that concentrations of Pb and Cd in the soil samples are above the global average and Cu and Zn concentration are below global average. The quantifying of landscape metrics indicate that the center and southern of region is more affected by human activities than northern and northeastern parts. The results of correlation analysis showed significant correlation between heavy metals concentrations and landscape patterns. The results of correlation analysis indicated that zinc sources are parent soil materials and human activities but copper and lead contamination is caused mostly by human activities. Resultofmultipleregressioanalyseestimating the ability of number of patches and especially Shannon'diversityindex for interpretation of soil contamination by lead.
