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Showing 4 results for Mansouri

Zohre Farahmandkia, Faramarz Moattar, Farid Zayeri, Mohammad Sadegh Sekhavatjou, Nabiollah Mansouri,
Volume 2, Issue 2 (3-2017)

Background: Sampling was conducted on particles smaller than ten microns (PM10) in a high-traffic urban region once a week for two years in which fifteen heavy metals were measured.

Methods: positive matrix factorization (EPA-PMF5), was used for source apportionment and characterization of the collected PM10. Assessment of cancer risk resulting from metals including arsenic, cadmium, chromium, nickel and lead was conducted in three concentration ranges of maximum, average and minimum.

Results: Results for children and adults living in the region indicated that cancer risk indexes at different concentration ranges of carcinogenic metals were between 10-4 to 10-6 for adults and children. Since EPA recommendations suggest that planning should be conducted if cancer risk is in the range of 10-4 to 10-6, using PMF5 model, source characterization of pollutants was implemented by all measured heavy metals.

Conclusion: It was found that 41.5% of PM10 resulted from fuel and combustion, 12% from waste dump soil of lead and zinc industries, 35.7% from suspended open soil and 11% from industrial activities. It was also found that cadmium, nickel and, chromium have higher cancer risk than other metals and, suspended open soil, industrial activities and industrial fuel and combustion are the main sources of these metals respectively.

Zohre Farahmandkia , Faramarz Moattar, Farid Zayeri , Mohammad Sadegh Sekhavatjou , Nabiollah Mansouri,
Volume 2, Issue 3 (6-2017)

Background: Heavy metals are the main air pollutants in cities. Therefore, assessment of the risk of exposure to these metals through inhalation, ingestion, and dermal contact on inhabitants of contaminated areas of the world is of great importance.
Methods: A weekly sampling of air particles smaller than 10 microns was performed in a residential area of Zanjan for two years. Risk assessment in the face of heavy metals from inhalation, ingestion, and dermal contact for were measured for two children and adults. After fingerprinting high-risk metals, the air pollutants of the region were analyzed according to the PMF5 model.
Results: The results showed that children at risk assessment (1.40 × 1000) at the highest concentration of manganese. The PMF5 model results of fingerprinting 15 heavy metals showed that predominant pollutants in the region, included lead and zinc industries with 42.3%, suspended soil with 26.4%, industrial activities with 23.5%, and combustion and fuel with 7.8% of contamination. It was also found that 55.5 percent of manganese emission was associated with lead and zinc industries and 22.4 percent were related to suspended soil.
Conclusion: Risk assessment showed that children were exposed to non-cancerous diseases due to inhalation of manganese particles.

Mohammad Baratchi, Nabiollah Mansouri , Aida Ahmadi ,
Volume 4, Issue 3 (9-2018)

Background: Identification of hazards is one of the most important parts of industries’ strategies. This can be done using a hazard matrix as an applicable tool which can also rank hazards properly.
Methods: In this study, the Delphi method was used to select best alternatives for a hazard matrix. All possible items were gathered and passed Delphi rounds, in which mean, median and standard deviation were used to evaluate decisions. Moreover, Kendall’s coefficient of concordance was used to reach consensus between panel members.
Results: The panel members found 42 items in five categories, of which 29 items benefited a mean and median more than 5. Moreover, Kendall’s coefficient of concordance reached 0.66, which indicated a statistically meaningful agreement for the number of experts.
Conclusion: This study introduced a hazard matrix, in which different consequences were accounted based on a well-known decision making method. The matrix is developed for hospital application with respect to panel members’ knowledge and can be used suitably in this field of industry.

Marzieh Makaremi, Nabiollah Mansouri, Alireza Vafaeinajad, Mohammad Hasan Behzadi, Seyed Alireza Mirzahossieni ,
Volume 4, Issue 4 (12-2018)

Background: Gypsum industry is one of industries which is known as an environment pollutant. In this study distribution and prediction of emitted PM10 from Gypsum factory is studied by modeling. The main goal of this study is to create a regression equation to demonstrate the Zarch factory PM10 dispersion by the AERMOD model.
Methods: In this study distribution and concentration of emitted particulate matter (PM10) is estimated by AERMOD model. The regression equation of emission is resulted by AERMOD estimation and excel software, finally the results of AERMOD model and regression equation was compared to each other.
Results: In this study the regression equation is c = 14.6 x (-1.045) and by this regression equation the particulate matter’s concentration could be estimated around the factory. Comparison of regression equation and AERMOD model represented that 69% of total results are similar in models.
Conclusion: The results of this study represented that by AERMOD outputs, a regression equation could be created which is able to estimate particulate matter’s concentration around the emission sources according to sources properties, meteorological parameters, site topography and etc.

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