Iranian Journal of health, safety andenvironment

705-715

Authors: Jamshid Piri, Mohammad Reza Rezaei Kahkha

Forecasting changes in level of the reservoir are important in Construction, design and estimate the volume of reservoirs and also in managing of supplying water. In this study, we have used different models such as Artificial Neutral Network (ANN), Adaptive Neuro Fuzzy Inference System (ANFIS) and Cuckoo Optimization Algorithm (COA) for forecasting fluctuations in water level of Chahnimeh reservoirs in south-east of Iran. For this purpose, we applied three most important variables in water levels of the reservoir including evaporation, wind speed and daily temperature average to prepare the best entering variables for models. In addition, none accuracy of error in estimation of hydrologic variables and none assurance of exiting models are the result of their sensitivity to the educational complex for teaching of models and also preliminary decoration before beginning general education has been estimated. After comparing exiting and confidence interval of the ANN and ANFIS has been found that the result of ANFIS model is better described than other model because it was more accurate and does have lesser assurance.

722-728

Authors: Harandra K. Sharma, Khurheed Ahmad Wani, Aakash Ahmad Bhat

We investigated fungal contamination near different waste dumping sites and assessed the health risk factors of rag pickers associated with collection of waste in Gwalior during the year 2014-15. Petri plates were exposed at waste dumping sites and were transferred to the laboratory, analysis and identification was mainly carried out by culturing the fungal colonies by following standard procedures. A pretested questionnaire was used to evaluate the health problems among the rag pickers. Results indicated that all the dumping sites are contaminated with different types of fungal pathogens like Alternaria alternate, Aspergillus flavus, A. fumigates, A. niger, Cladosporium, Fusarium, Mucor, Penicillium and Rhizopus. Our study reported higher incidence of musculoskeletal and respiratory diseases among rag pickers. There is also strong need for carrying out similar assessment studies for other cities too. This will entail generation of more precise site specific information regarding fungal species and associated health risk factor.

738-745

Authors: Milad Ahmadi Marzaleh, Shahram Vosoughi, Amir Kavousi, Hosein Jameh Bozorg

Special attention of and oil, gas and petrochemical large corporation in the world to the HSE management system is due to its importance in the designing and development of products, services and processes by considering its health, safety and environment requirements. Staff's perception of the existing job risks has a significant impact on their safe behavior at work. This study was conducted to determine the relationship between safety climate and staff's perception of risk with an awareness level among employees of the HSE management system in an oil refinery in Kermanshah. The study population was employees in one of the oil refineries in Iran. After designing and questionnaire psychometric assessment of staff knowledge of HSE management system (Cronbach's alpha was 0.9 and its validity was assessed by certified professionals), Loughborough safety climate questionnaire and Flin risk perception questionnaire were used. Data analysis was performed using SPSS V22 software. Results showed that the relationship between safety climate and awareness level of the HSE management system; also the relationship between safety climate and perception of risk was also getting significant. However, the relationship between perception of risk and awareness level of the HSE management system was not significant. The results of this study showed a moderate awareness of HSE Management System in refinery workers. In this regard, appropriate and proper management policy should be committed to improving the situation. The results of this study is a profile the situation of safety climate in the refinery, which can be used as an indicator for the development of preventive policies and evaluate the performance of the organization's safety and the results of the safety improvement organization.

752-757

Authors: Mehdi Ashnagar, Aioob Ghanbary Sartang, Ehsanollah Habibi

Musculoskeletal disorders represent a major issue in the military setting. Musculoskeletal disorders and mental disorders (MSD) are a major cause of disability in the working population. Musculoskeletal disorders and premature tiredness caused by work are arisen from incompatible individual work capacity and job demands. Physical and psychology condition may lead to the generation, amplification musculoskeletal disorders. Musculoskeletal disorders and mental health disorders are high in military personnel. The purpose of this study was Assessment Mental Health and musculoskeletal disorders in military personnel. In this cross-sectional study 70 personnel military participated in May 2016. Cornell Questionnaire and Mental health inventory (MHI-28) were used for data gathering. Finally, Statistical analysis was performed using SPSS version 20, descriptive statistics, Pearson correlation test and One Way Anova test. The findings of the current study showed that personnel situation of mental health were in moderate condition (56.01±13.3). Results Cornell Questionnaire showed that the most of musculoskeletal disorders were respectively in the back (46%), shoulder (34%) and wrist (31%). Also Pearson correlation test showed significantly associated between musculoskeletal disorders and mental health (r=0.72) (p-value=0.001). One Way Anova test showed that with increase age (p<0.01) and work experience (p<0.01) increased musculoskeletal disorders. Finally, One Way Anova test showed that with increase age (p<0.02) and work experience (p<0.02) mental health became worse. The finding of this research showed that musculoskeletal disorders and mental health disorders had high prevalence among military personnel and should intervention action need conduct for decrease this disorder. Also attention for maintaining and improving the health of these members must be considered.