Background and Objective: Vegetation that is commonly used in urban design has a significant impact on air quality in the urban canyons. Thus, planners should be aware of vegetation impacts. In Isfahan metropolis, though vegetation covers a considerable portion of the city, the streets are encountered with pollution problems. In this study, distribution of pollution in urban canyons is evaluated using an optimal model for pollution reduction. Method: A three-dimensional modeling software called ENVI-met along with local and sub-climatic air quality model based on CFD-computational fluid dynamics-is used to study the influence of vegetation on pollution level in urban canyons. In this study, first a sample of real field and next a simpler version of the selected area are simulated. Findings: Different parameters such as height to width ratio in urban canyons, density of trees, location of trees in the streets and gaps between the trees are evaluated. Conclusion: The obtained results show that the increase of wind velocity in the shallow valleys is at the the lower level and the absence of natural obstacles such as trees reduces the level of pollution due to the high velocity of wind at this condition. When trees are located in the center of urban canyons, pollution and tree distances are inversely correlated and pollution level reduces by increasing the distance between the trees. In the other words, the pollution that is caught by the tree canopies decreases with the reduction in tree canopies.

Background and Objective: The main goal of this research was “ The Relationship between Personnel’ s Blood Lead Concentration Parameter, Job Stress and Job-Burnout Parameters in Staff of a Battery Manufacturing Company” . Method: It was a descriptive and cross sectional investigation. The sample group (with age range 20-65) included 100 out of 200 staff who worked in the productive lines of company. They were selected randomly. Job Stress (Davies, 1991) and Maslach Job-Burnout (1981) questionnaires were used as tools. Also the lead concentration of whole blood was determined by using atomic absorption spectrometer. Findings: The results of Pearson correlation test showed that there are significant relationship between blood lead concentration with depersonalization and low performance of staff (P<0. 01, P<0. 05). There are significant relationship between stress related to jobs and job-burnout dimensions (P<0. 01). The results revealed that blood lead and job stress can predict depersonalization and weak performance of staff. Discussion and Conclusion: Many workers are in the exposure of chemical hazards like lead concentration simultaneously they are suffering from job stress and different types of pressures because of hard conditions of job in a battery manufacturing companies. These difficult conditions can lead them towards job-burnout (depersonalization and weak performance) too. It was recommended to the managers and engineers to control dust and fumes of lead pollution with respect to occupational health and safety in the workplaces. The management plans should be targeted the job related stress management and prevention of job burnout as well.

Background and Aim: Myocardial infarction (MI) is one of the leading causes of mortality worldwide. This disease imposes a high socio-economic burden on patients. Since the Spatio-temporal analysis of diseases plays an essential role in the design of prevention and management programs. The present study aimed to identify regional clusters of MI and also analyze the time trend of the disease among an Iranian military community. Methods: In this ecological study, all registered cases of MI from different provincial centers of the military community were studied during the period 2015 to 2018. The Getis-Ord Gi statistics were used to identify the hot spots of MI and the Spearman correlation coefficient to the trend of the disease. Results: The incident cases of MI in military officers and conscripts during the study period were 103 and 4, respectively. Gilan and Golestan provinces (90% confidence level) in 2015, Gilan, Golestan, Semnan, and Zanjan provinces (95% CI) and Isfahan province (90% CI) in 2016, Golestan province (95% CI), and Gilan province (90% CI) in 1396 and Golestan province (95% CI) in 1397 were identified as hot spots of the disease. The results of the temporal analysis also indicated a significant increasing trend of MI in military officers. Conclusion: The Northern regions of Iran are at high risk of MI, and the trend of the disease also demonstrates a significant increase. The findings of this study can be considered in policymaking in the field of public health of military communities for control strategies and preventive programs. In future studies, the risk factors and nonecological parameters should be addressed in hotspot regions.