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Showing 4 results for Abedi

Nahideh Mohammadi, Koorosh Kamali, Yousefali Abedini, Mohsen Ahadnejad, Mehdi Azari,
Volume 1, Issue 3 (6-2016)

Background: Brucellosis (Malta fever) is a major contagious zoonotic disease, with economic and public health importance.
Methods: To assess the effect of meteorological (temperature, rainfall, humidity, and wind) and climate parameters on incidence of brucellosis, brucellosis distribution and meteorological zoning maps of Zanjan Province were prepared using Inverse Distance Weighting (IDW) and Kriging technique in Arc GIS medium. Zoning maps of mean temperature, rainfall, humidity, and wind were compared to brucellosis distribution maps.

Results:Correlation test showed no relationship between the mean number of patients with brucellosis and any of the four meteorological parameters.
Conclusion: It seems that in Zanjan province there is no correlation between brucellosis and meteorological parameters.

Zahra Abedi, Mohammad Reza Mehrasbi, Ali Assadi,
Volume 2, Issue 4 (9-2017)

Background: Natural organic matters (NOMs) have the main role in formation of trihalomethanes. These compounds are in natural water sources due to biological activities. In the presented study, adsorption and separation of humic acid as an index of natural organic matters using multi-walled carbon nanotubes is evaluated.
Methods: The experiments were carried out in bath adsorption reactors with different concentrations of humic acid. The effects of pH, adsorbent dose, national concentrations of humic acid and contact time as study variables were tested in separated experiments, as well as, kinetic and isotherm models of the adsorption process were determined.
Results: The results showed that the adsorption follows Freundlich isotherm model and pseudo second-order kinetic equation. The removal percent of humic acid reached to higher than 90% with dosage of 1g/l of nanotube.
Conclusion: Adsorption of humic acid from water by multi-walled carbon nanotubes is an efficient alternative pretreatment method in water treatment plants.

Marzieh Bagheri, Mohammad Nasiri, Amirreza Talaiekhozani, Iman Abedi,
Volume 4, Issue 2 (5-2018)

Background: In this pioneering work, the comparisons conducted on the elimination efficiency of formaldehyde by rice bran and the resulting ashes utilized in the adsorption process.
Methods: In this study the optimal hydraulic retention time, temperature, pH value and adsorbents dosage for the elimination of formaldehyde using three adsorbents including rice bran, ashes of rice bran produced in 300°C (Carbon-300) and in 500°C (Carbon-500) were determined. The method of one factor at the time was used to optimize the above mentioned factors.
Results: The best adsorption conditions for 1000 mg/L of formaldehyde and 1 g of adsorbent in acidic environment (pH = 4) is reported at 80°C (with elimination percentage of 70%w/w for rice bran, 83%w/w for carbon-300 and 90%w/w for carbon-500). Also it was revealed that the adsorption of formaldehyde by rice bran adsorbent and Carbon-300 is a function of Langmuir adsorption isotherm while the resulting carbon in 500°C is a function of Freundlich adsorption isotherm.
Conclusion: In all experiments, the rice bran ashes showed much greater capacity for formaldehyde removal than one for rice bran. Rice bran is an ideal option in terms availability and the resulting waste could be eliminated through incineration.

Faramarz Majidi, Younes Khosravi, Kamalad-Din Abedi,
Volume 5, Issue 2 (6-2019)

Background: The present study aimed to replace the integrated sound level meter by the noise map of a work environment in order to estimate the equivalent continuous sound level (Leq) as an important quantity in the noise monitoring of continuous noise sources.
Methods: In this theoretical-experimental study, the grid method was initially used. Sound pressure level (SPL) was measured at the selected stations in three noisy industrial halls. Data analysis was performed in ArcGIS 10.2 software, and the noise map was plotted for each hall separately. Afterwards, the different zones with various SPL intervals were calculated on each noise map, and Leq was determined. For the comparisons, Leq was also calculated using logarithmic equations, based on which the integrated sound level meters were programmed.
Results: The proposed method was highly accurate with the relative error of less than 2%. Furthermore, it decreased the number of mathematical operations 7-15 times compared to the conventional logarithmic method.
Conclusion: According to the results, the available GIS-based software could be accurately replaced by the routine Leq measurement hardware to estimate the Leq spatial noise in noisy industrial environments.

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