Investigation of heavy metalloid pollutants in the south of Tehran using kriging method and HYDRUS model

Due to the high cost of the large-scale measurement of heavy metals, the use of statistical land models and techniques is one of the proper ways to study their distribution and level of pollution. The study area, is agricultural lands of south Tehran in Iran. Municipal wastewater is often used for irrigation agricultural lands under surface irrigation method. To study the distribution of heavy metals including copper, nickel, and lead, the ordinary kriging method in the GIS environment was used. In addition, one-dimensional HYDRUS modeling of water flow and heavy metals in the soil environment was simulated up to a depth of 50 cm for 210 days and the concentration of heavy metals in the depth was simulated. Distribution of lead element in soil surface with spherical model showed that its variation was in the range of 20-70 mg/kg. These values were 50-60 mg/kg for copper and 30 mg/kg for nickel. Investigation of heavy metal concentrations in soil profiles using the HYDRUS-1D model showed that the major accumulation of heavy metals occurred in the surface layer of soil at a depth of 0-15 cm that was higher than the permissible level.

Automated summary

Due to the high cost of measuring heavy metals, statistical land models and techniques are used to study their distribution and pollution levels. A study in south Tehran, Iran found that agricultural lands were contaminated with heavy metals, particularly lead, exceeding permissible levels.