تعیین شاخص‌های زیست محیطی و منشأ فلزات سنگین گردوغبار خیابان، مسجد سلیمان، استان خوزستان

Background and Objectives: Street dust reflects one of the most important indicators of pollution in the urban environment. Most studies carried out in the world on heavy metal pollution are related to cities and metropolitans, while less attention has been paid to towns. Masjed-e- Soleiman, the most oil-rich town is located in the north eastern part of Khuzestan Province in Iran. This town contains geogenic pollutants such as gas and oil sources, oil and gas activities, oil and gas combustion, industries, and heavy traffic, which make it important from the viewpoint of environmental impact assessment. Materials and Methods: For monitoring and management of pollution, 11 samples of street dust were collected and prepared from different stations within the town during the dry season (June 2013). Each sample was analyzed using ICP-OES instrument. Results: Possible sources of the heavy metals were identified by multivariate analyses such as Principal Component Analysis (PCA) and Cluster Analysis (CA). In addition, factors such as the Index of Geo-accumulation (Igeo), Pollution Index (PI), Integration Pollution Index (IPI), and Enrichment Factor (EF) were assessed to determine the degree of heavy metals pollution in street dust of the Masjed-e- Soleiman Town. The results of PCA and CA indicated that the region is mostly affected by oil pollution (both natural and combustion of fossil fuels), traffic, and industrial activities (PI revealed high levels of Pb, Cd, Cu, and Zn pollution in samples and the average level of Ni, As, and V pollution in other samples). Igeo indicated the moderate to severe pollution of some samples to Pb, Cd, Cu, and Zn while no to moderate pollution against Ni, As, and V in other samples. EF for Pb, Cd, Cu, and Zn showed a significant pollution in some samples and other samples represented the least pollution against Ni, As, and V. Conclusion: Results showed that the concentrations of heavy metals in dust samples were higher than control samples in Masjed-e- Soleiman. Thus, the classification of pollution in street dust in Masjed-e- Soleiman is as follows: IPI> EF> Igeo ≈ PI.