Background: Epidemiological studies have illustrated that exposure to atmospheric nitrogen oxides (NO2/NOX) is responsible for an increased risk of acute or chronic diseases such as cancer. In this study the health risks associated with nitrogen dioxide (NO2) were assessed in the city of Kermanshah, the capital of Kermanshah province, Iran.
Methods: Data on hourly NO2 levels that had been measured with the Environ tech model M200 was taken from the Kermanshah Environmental Protection Agency (KEPA). The AirQ2.2.3 model was used to quantify data based on baseline incidence (BI), relative risk (RR), and attributable proportion (AP). The number of cases of cardiovascular mortality (CM), acute myocardial infarction (MI), and hospital admissions for chronic obstructive pulmonary diseases (HACOPD) was estimated.
Results: The results of the current study show that there were 33, 16, and 13 cases of CM, acute MI, and HACOPD, respectively, attributable to NO2 exposure. Furthermore, 26.85% of health impacts occurred on days when NO2 levels did not exceed 40 μg/m3. For every 10 μg/m3 increase in the NO2 level, the risk of CM, MI, and HACOPD rose about 0.2%, 0.36%, and 0.38%, respectively.
Conclusion: In order to reduce the number of cases of mortality and morbidity caused by exposure to NO2, several immediate steps should be taken by the government to control emissions from various sources, particularly car exhaust, to reduce the levels of NO2 in the atmosphere.

 Background: Bromide is found naturally in groundwater and surface water. The rapid growth of industrial activities, drainage of surface runoff, and use of methyl bromide in pesticides has increased bromide discharge to the environment. Disinfection of water-containing bromide causes the creation of additional products of organo-halogenated that are considered cancer-causing agents. In this study, the effect and optimization of factors in removal of this ion was evaluated by using the nano-photocatalytic UV/ZnO process.

Methods: This analytical study was conducted in a batch system by the phenol-red method. The test design was performed through the analysis model of multi-factor variance with 99 subjects, while the main, interactive, and reciprocal effects of variables, such as reaction time, catalyst concentration, bromide concentration, and pH at different levels of each factor, were analysed by using SPSS version 16.

Results: The main, interactive, and reciprocal effects of factors were significant in three different levels with P < 0.001, and the optimal level of the factors reaction time, catalyst concentration, bromide concentration, and pH were 120 minutes, 0.5, 0.1, and 7 mg/L, respectively, by using the Schaffer test. The highest removal efficiency of 95% was obtained at least 91.56 and a maximum of 94.76% was obtained under optimal conditions of all factors.

Conclusion: The results show that by optimization of factors, this process can be effectively used to remove bromide from aquatic environments.

Background: Considering the severe health and environmental hazards caused by the entry of diazinon toxin into water resources, its removal is very important. Given the high costs of imported adsorbents, this research attempted to evaluate, for the first time, the efficiency of Iranian activated carbon in removing diazinon from aqueous solutions.
Methods: In this batch experimental study, the effects of contact time (5-90 minutes), adsorbent concentration (0.5-30 g/L), initial concentration of diazinon (5-50 mg/L), and pH (3-10) on the adsorption of diazinon onto the activated carbon were evaluated. Concentrations of diazinon were measured using a high pressure liquid chromatography (HPLC) instrument. The specific surface area of the adsorbent was determined by BET and BJH methods. The experimental adsorption data was analyzed using Langmuir and Freundlich isotherm models. Pseudo first-order and pseudo second-order kinetics models were employed to determine kinetics. Moreover, data was analyzed using SPSS version 19, and Pearson correlation and analysis of variance (ANOVA) tests were performed at a significance level of 0.05.
Results: The optimum contact time, sorbent dose, and pH were 30 minutes, 10 g/L, and 5, respectively. The adsorbent could adsorb diazinon with a removal efficiency of 92.5% under optimum conditions (initial concentration: 20 mg/L). The experimental data was better described by the pseudo-second order kinetic and Langmuir isotherm. A maximum adsorption capacity of 71.4 mg/g was calculated by the Langmuir isotherm model.
Conclusion: With respect to the high adsorption capacity of Iranian activated carbon, this sorbent can be considered an efficient adsorbent for the removal of diazinon from aqueous solutions.