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Showing 5 results for Khosravi

Faramarz Majidi, Jamshid Mohammadi, Younes Khosravi, Fatah Abasi,
Volume 1, Issue 1 (12-2015)
Abstract

Background: Carpet weaving is an occupation that requires sufficient and appropriate lighting. The lighting in carpet weaving workshops affects the productivity and the physical and mental health of workers. Therefore, the evaluation of the illumination and the identification of work stations requiring lighting modifications will be helpful in promotion of the health and safety of workers in carpet weaving workshops.

Methods:This study was carried out for the evaluation of illumination on the basis of Geospatial Information System (GIS) technology in two carpet weaving workshops of Bokan city. As per the norms of Illumination Engineering Society, the sensors of the photometer Testo 545 were placed at lowest and highest of 35 and 163 cm in workshop I, and at 40 and 245 cm in workshop II, which correspond to the lowest and highest work surfaces in the respective workshops. Total, natural, and artificial illuminance was measured in the center of each measurement station using the photometer, and data was analyzed using the Arc GIS software. The maximum and minimum illuminances as well as isolux curves were obtained for each workshop.

Results: The illuminance in workshops I and II were found to be lower and higher, respectively, than 200 lux, which is considered the standard for carpet weaving workshops. Thus, improving the artificial lighting system or redesigning it is essential for ensuring that the standard conditions of illuminance (200–300 lux) are provided.
Discussion: This study showed that the application of GIS technology renders the assessment of illumination in carpet weaving workshops possible. This assessment method could also prove useful for determining the exact stations in the carpet weaving workshops that need modifications, thereby leading to cost reduction.
 


Younes Khosravi, Abbas Ali Zamani, Abdol Hossein Parizanganeh, Mir Ali Asghar Mokhtari, Akbar Nadi,
Volume 3, Issue 1 (12-2017)
Abstract

Background: This research aims to measure and study spatial changes, and the reason behind the increasing nitrate content in water wells in the Central District of Khodabandeh County in the Zanjan Province.
Methods: The nitrate and nitrite content, electrical conductivity, dissolved oxygen, temperature, total hardness and pH were measured at 40 sampling stations in the study area. The obtained features were categorized into four classes by principal component analysis. The kriging and cokriging methods along with electrical conductivity and total hardness covariates were used to study the spatial changes. By using the cross-validation method, the linear model for cokriging method with electrical conductivity covariate was selected as the best model for nitrate zoning in ArcGIS 10.2 software.
Results: The principal component analysis indicated that nitrate feature was in the same classification as that of electrical conductivity and total hardness. The comparison of surface digital elevation model, geology and land use maps with nitrate zoning indicated that nitrate pollution in the south and south-west regions was due to geological content, agricultural activities, and the discharge of human sewage into absorbing wells.
Conclusion: The findings of the present research revealed that lowlands with agricultural use had more nitrate content than other uses, and the most important reason could be attributed to the excessive use of nitrate containing chemical fertilizers.

 


Mustafa Solgimoghaddam, Younes Khosravi, Hossein Asakereh, Mehdi Doostkamian,
Volume 5, Issue 1 (3-2019)
Abstract

Background: The present study aimed to validate the thermal regions in Iran with an emphasis on the identification of the climatic cycles during the recent half-century.
Methods: Data on daily temperature were extracted for 383 synoptic stations of Iran Meteorological Organization. For the zoning of the temperatures of Iran, multivariate statistical techniques (cluster analysis and discriminant analysis) were applied. In addition, the verification of the areas that were identified by cluster analysis and discriminant analysis was performed using the silhouette analysis.
Results: Discriminant analysis and silhouette analysis could properly identify the thermal regions in Iran, and this claim was confirmed with 2% error. Moreover, the spectral analysis of the thermal regions indicated that the temperature of Iran in the first and second regions had a medium-term cycle or an occasional short-term cycle, while fluctuations were observed in the third and fourth regions, as well as 2-5-year short-term cycles.
Conclusion: According to the results, the temperature of Iran was affected by several factors in some regions with variable patterns, so that diverse short-term, long-term, and medium-term cycles were dominant in the thermal regions in Iran.

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

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.

Samaneh Taghilou, Mazyar Peyda, Younes Khosravi, Mohammad Reza Mehrasbi,
Volume 5, Issue 3 (9-2019)
Abstract

Background: Population growth and industrial and agricultural activities have increased the consumption of water, leading to clean water scarcity. Wastewater treatment is an important concern as determining proper sites for wastewater treatment plants (WWTP) largely influences proper operation. The present study aimed to determine an optimized site for WWTP in the rural complexes of Zanjanrood catchment in Zanjan province, Iran.
Methods: The site priority map was generated using the geographical information system (GIS) and analytical hierarchy process (AHP). Locating of the plants was based on various parameters. After map preparation, the weight of each parameter was determined using the AHP approach, and the conversion of the layers was performed using the GIS. The site priority map for each sub-catchment was determined and optimized.
Results: In the criteria pairwise comparison matrix, the distance from the city had the highest value (16%), while the distance from the oil and gas transmission pipelines had the lowest value (1%). The site was located at the lowest elevation compared to the villages in each complex.
Conclusion: According to the results, the AHP followed by the optimization method could pinpoint the optimal sites for the environmental protection of treatment plant construction in rural areas.


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