Reza Peykanpour Fard; Parvaneh Paykanpour Fard; Hadi Hadian Ghahdarijani
Abstract
Background and Purpose: One of the fundamental problems of air pollution is that it often affects large areas of various land uses, such as cities and agricultural products hundreds of kilometers away from the source of pollutants, or results in cumulative effects with other industries. This research ...
Read More
Background and Purpose: One of the fundamental problems of air pollution is that it often affects large areas of various land uses, such as cities and agricultural products hundreds of kilometers away from the source of pollutants, or results in cumulative effects with other industries. This research aims to quantify the concentration of pollutants in residential areas around industrial areas.Materials and Methods: In this study, the AERMOD software was used for modeling air pollutants. This software uses meteorological data, digital elevation models, and information about pollutant sources. It assesses and quantifies air pollution levels related to PM10, SOX, NOx, and CO pollutants in a specific location.Results: The results of this study indicate that in these 28 population points surrounding the targeted industrial land use, pollutant concentrations in both scenarios with and without background concentrations did not exceed the standard limits for any pollutant. The most significant pollutant in this research was NOx, which showed the slightest difference from the permissible pollution limit. Furthermore, due to the closer proximity of pollutants to environmental standards in this region, increased loading of industrial land uses can lead to various health, economic, and social problems.Conclusion: The findings of this research demonstrate that to assess and quantify pollutant concentrations in the areas surrounding industrial pollutant points, it is advisable to consider background pollution in addition to modeling point sources for greater accuracy in the direction of sustainable development in such areas.
Iman Shahidi Kaviani; Parvaneh Paykanpoufard
Abstract
Background and purpose: Population growth leads to the expansion of industries and improper management of industries leads to land pollution and irreparable damage to nature and living organisms. Therefore, studying the role of industrial centers in environmental pollution, including soil, is one of ...
Read More
Background and purpose: Population growth leads to the expansion of industries and improper management of industries leads to land pollution and irreparable damage to nature and living organisms. Therefore, studying the role of industrial centers in environmental pollution, including soil, is one of the most important measures in the field of pollution control. The aim of this study was to evaluate the rate of surface soil contamination with heavy metals exposed to the oil industry. Materials and methods: In this study, to measure the rate of heavy metals, a total of 15 soil samples were taken from 5 stations with 3 replications and from depth of 0-30 cm. Heavy element measurements were performed by induction coupled plasma spectroscopy. Results: Based on the results the average amount of Cadmium, Lead and Copper in the soil were 2.40 ± 1, 8.89 ± 5.91 and 55.83 ± 52.88 mg / kg respectively. Conclusion: The average values of Cadmium and Copper were higher and the average values of lead were lower than the global average. Also, due to the high degree of toxicity of Cadmium, the highest risk of soil contamination can be attributed to Cadmium. The measurement of pollution of each of the three elements and for five sampling stations showed that the soil of the oil region was more polluted than Cadmium than the other two elements and the oil industry was more effective in Cadmium pollution than other elements. By measurement and comparison, the rate of soil pollution indices in the sampled zones, it showed that, as expected, the soil of the processing areas and the well head zones had more severe pollution than other areas and adopted more strict environmental control measures are essential on these areas.